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Corso di Dottorato in Ingegneria Industriale Università degli Studi di Padova

Piano formativo 2019/20

Advanced Methods for Fatigue Design ……………………………………………………pag. 2

Bibliographical Resources and Research Tools for Ph.D. Students in Industrial Engineering (Risorse e strumenti di ricerca bibliografica per l’Ingegneria Industriale) . pag. 3

Bioelectromagnetics ………………………………………………………………………. pag. 4

Causal Inference for Complex Networks ……………………………………………….. pag. 5

Computational Materials Science…………………………………………………………. pag.6

Coupled Electrical-thermal-structural Finite Element Analyses ………………………. pag. 7

Eco-informed Materials Choice ………………………………………………………….…pag. 8

Ecological modelling basics for environmental impact assessment …………………...pag. 9

Ecotoxicology as an heuristic approach to environmental engineering ……………… pag.10

Entrepreneurship and Technology-based Startups ………………………………… pag.11

Experimental Measurements in Thermal Fluid Dynamics ……………………………..pag. 13

Finite Element Methods (FEM) .................................................................................. pag. 14

Fundamentals of Materials Selection ........................................................................ pag. 15

Green Chemistry and Technology ............................................................................. pag. 16

Mechanical and Thermal Electricity Energy Storage ................................................. pag. 17

Monitoring Techniques and Systems for High Voltage Insulated Cables ………….. pag. 19

Particle Image Velocimetry: theory and applications …………………………………..pag. 20

Reactive Fluid Mechanics ……………………………………………………………….. pag. 21

Short overview on ceramic materials for energy applications -thermoelectricity and H2 separation ………………………………………………………………………………… pag. 22

Statistics for Engineers .............................................................................................. pag. 23

Sustainable Energy in Buildings ................................................................................ pag. 24

Technological Advancements in the Electromobility .................................................. pag. 26

Tutela della proprietà intellettuale .............................................................................. pag. 27

Vibration energy harvesting ……………………………………………………………….pag. 28

Waste Heat Recovery Units for Industrial Energy Efficiency…………………………..pag. 29

Yield Criteria for Polymer Materials ........................................................................... pag. 31

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Advanced methods for fatigue design Lecturer: Prof. Giovanni Meneghetti, Department of Industrial Engineering, University of Padova giovanni.meneghetti@unipd Dr. Alberto Campagnolo, Department of Industrial Engineering, University of Padova alberto.campagnolo@unipd.it Topics:

Introduction to fatigue assessment of mechanical components in presence of cracks or notches.

Derivation of stress fields ahead of cracks/notches: Airy stress function and complex potential function method (Kolosov and Muskhelishvili).

Case study: sharp V-notches under in-plane loading. Lazzarin-Tovo analytical derivation of local stress field based on complex potential functions and comparison with Williams’ solution.

Definition of Notch Stress Intensity Factors (NSIFs) and introduction to local approaches based on NSIF-concept: averaged strain energy density (SED) and peak stress method (PSM)

Practical application of local approaches to fatigue strength assessment of mechanical components by means of FE analyses (Ansys FE code).

References: - Sadd M. H. Elasticity. Theory, Applications and Numerics. Elsevier; 2004. - Lazzarin P., Tovo R. A unified approach to the evaluation of linear elastic stress fields in the

neighborhood of cracks and notches, Int. J. Fract. 78 (1996) 3–19. - Anderson T. L. Fracture Mechanics. Fundamentals and Applications. CRC Press; 1995. - Lazzarin P., Zambardi R. A finite-volume-energy based approach to predict the static and

fatigue behavior of components with sharp V-shaped notches, Int. J. Fract. 112 (2001) 275–298.

- Meneghetti G., Lazzarin P. Significance of the elastic peak stress evaluated by FE analyses at the point of singularity of sharp V-notched components, Fatigue Fract. Eng. Mater. Struct. 30 (2007) 95–106.

- Radaj D, Vormwald M. Advanced methods of fatigue assessment. Springer; 2012. Timetable: 8 hours (subject to changes - check the Calendar of the School for actual dates) 19 February 2020, from 9:00 to 18:00 (8 hours) M4 classroom, Department of Industrial Engineering, Viale Colombo 5, Padova. Room “B Polo Meccanico”, Department of Industrial Engineering, Viale Colombo 5, Padova.

Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on a case study.

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Bibliographic Resources and Research Tools for Ph.D. Students in Industrial Engineering

Staff: Engineering librarians 1st Module (4 hours) Online course: to be attended before the face-to-face module. Engineering libraries and their services (local and interlibrary loan, document delivery, bibliographic reference, book purchase proposal…) Catalogue tools AIRE Portal (Integrated Access to Electronic Resources ) and SFX linking tools (direct access to electronic resources) Scholarly Communication Bibliometric indicators: quality measurements of scientific publication 2nd Module Face-to-face course (2 hours) Workshop to improve bibliographic research with tools and resources in the Digital Library of the University of Padova. Engineering, Economics, Management databases (BSP, IEEE, Engineering Village, Reaxys) Citation databases: Scopus (Elsevier), Web of Science (ISI). Open Access Registration: Registration form is available starting from: January 2019 at: http://www.cab.unipd.it/corsi-sba-iscrizione > scegli l'area disciplinare > Ingegneria (select your study area: Engineering). Classroom to be determined. Minimum attendance requirements and final test: Attendance is necessary. Online module gives one training credit and is required for attending the face-to-face module. Face-to-face course gives one training credit. Tests after online course and after face-to-face course. The participation will be confirmed through the execution of a final test (a practical exercise). Additional information: The course is organized for Industrial Engineering PhD students, but the registration is free for every PhD Student. For any further information or for problems with the on-line module, feel free to contact us at: biblio.inge@unipd.it

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Bioelectromagnetics Lecturer: Dott. Elisabetta Sieni, Dipartimento di Scienze Teoriche e Applicate, Università dell’Insubria elisabetta.sieni@uninsubria.it Topics: Introduction to bioelectromagnetics. Electromagnetic field coupled with the human body. Brief introduction on cell membrane and cell biology from the point of view of electromagnetic field coupling. Electrical models. Electrical properties of tissue as a function of the frequency. Mechanisms involved in the interaction of cells/tissues with electric and magnetic field. Effects of electromagnetic field on cells and tissues, e.g. heating and electric stimulation, considering the frequency spectrum of the electromagnetic field: from low frequency to microwaves. Medical uses of electromagnetic fields and practical examples (e.g. electrochemotherapy, ECT, and magneto fluid Hyperthermia, MFH). References: Research papers and book chapters will be provided during the course. Timetable: 8 hours (subject to changes - check the Calendar of the School for actual dates) October 15th: 2:00 p.m. – 6:00 p.m. October 23rd: 2:00 p.m. – 6:00 p.m. Room: Saletta Gialla, Dipartimento di Ingegneria Industriale, via Gradenigo 6/a Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on a multiple choice questionnaire.

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Causal Inference for Complex Networks Lecturer: Prof. Reza Arghandeh, Department of Computing, Mathematics and Physics, Western Norway University of Applied Sciences, Bergen (Norway) Email: rajo@hvl.no Aim: One of the notable analytical challenges of our century is the intricate complexity of systems that shape our civilization ranging from electricity networks to computer networks to biological networks and social networks due to all interdependency and interconnectivity among them. It is near impossible to understand complex network systems behavior unless we go beyond the classic machine learning and network science and develop a casual insight into the machinery behind different networks. Nevertheless, the notable differences in forms, scopes, components, and nature of different networks, most networks follow common cause and effect principles. This course provides a selection of concepts from information theory and causality inference domains to analyze complex networks considering their inherent interdependencies. During the course, students will be familiar with use cases from electric grids, roadways, and social networks. Topics:

1. Motivating problems in complex networked systems. i) some analytical problems in smart grids. ii) some analytical problems in smart cities.

2. Elements of Graph Theory: i) overview of graphs. ii) path, connectivity, and weighted graphs. iii) metrics for graphs.

3. Causality Inference: i) causality language ii) theory of causation and intervention iii) state-of-the-art causality inference methods

4. Causality for Complex networks i) causality methods for large scale networks ii) example applications in smart grids

References: [1] J. Pearl, Causality, Cambridge University Press, 2009. [2] A. Barabasi, Network Science, Cambridge University Press , 2016. [3] F. Bullo, Lectures on Network Systems, CreateSpase, 2018. Class lectures and other material and research papers will be available online for download. Language of the course: English Timetable: Duration of the course: Course of 16 hours (8 two-hours lectures). Schedule: July 2020. Location: Dept. of Industrial Engineering, University of Padova Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on a project or a take-home exam.

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Computational Materials Science Lecturer: Prof. Lucia Nicola, Dipartimento di Ingegneria Industriale, Università di Padova lucia.nicola@unipd Topics: Basics of molecular dynamics simulations and discrete dislocation plasticity. Half of the time will be devoted to writing and modifying (very) simple computer programs using MATLAB. References: provided in class Timetable: 12 hours (subject to changes - check the Calendar of the School for actual dates) 07/10/19 8:30-12:30 09/10/19 8:30-12:30 11/10/19 8:30-12:30 Polo di calcolo, Via Marzolo, DII, Padova. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required, as well as programming during class. Performance will be evaluated in class.

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Coupled electrical-thermal-structural Finite Element Analyses Lecturers: Prof. Giovanni Meneghetti, Dipartimento di Ingegneria Industriale, Università di Padova giovanni.meneghetti@unipd Eng. Mattia Manzolaro, Laboratori Nazionali di Legnaro, Istituto Nazionale di Fisica Nucleare mattia.manzolaro@lnl.infn.it Topics: Course overview and introduction. General aspects of Finite Element analyses. Structural analyses. Thermal analyses. Electrical analyses. Coupled field analyses. Data analysis and comparison with experimental data. References: - M. Manzolaro, G. Meneghetti, A. Andrighetto, Thermal–electric numerical simulation of a surface ion source for the production of radioactive ion beams, Nucl. Instrum. Methods Phys. Res., Sect. A 623 (2010) 1061–1069. - G. Meneghetti, M. Manzolaro, A. Andrighetto, Thermal–electric numerical simulation of a target for the production of radioactive ion beams, Finite Elem. Anal. Des. 47 (2011) 559–570. - M. Manzolaro, G. Meneghetti, INTRODUCTION TO THE THERMAL ANALYSIS WITH ANSYS® NUMERICAL CODE, edizioni LIBRERIA PROGETTO, 2014, Padova, ITALY. - G. Meneghetti, M. Manzolaro, M. Quaresimin, INTRODUCTION TO THE STRUCTURAL ANALYSIS WITH ANSYS® NUMERICAL CODE, edizioni LIBRERIA PROGETTO, 2014, Padova, ITALY. Timetable: 12 hours (subject to changes - check the Calendar of the School for actual dates and room) Lecture 1: February 19th, 2020, from 14:00 to 18:00 (4 hours) Lecture 2, February 20th, 2020, from 14:00 to 18:00 (4 hours) Lecture 3, February 21th, 2020, from 14:00 to 18:00 (4 hours) Room “Polo di Calcolo ex-D2”, Department of Industrial Engineering, University of Padova, via Venezia, 1 - Padova. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours.

Final evaluation will be based on a case study developed during the lectures.

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Eco-informed Materials Choice Lecturer: Prof. Enrico Bernardo, Dipartimento di Ingegneria Industriale enrico.bernardo@unipd.it Topics: Introduction to materials selection. Material property charts. The materials life cycle. Eco-data: values, sources, precision Eco-audits and eco-audit tools. Case studies. Strategies for eco-informed materials selection References: http://www.grantadesign.com/news/archive/Ashbycharts.htm M.F. Ashby, Materials and the Environment, Butterworth Heinemann, Oxford, UK M.F. Ashby, Materials Selection in Mechanical Design, Butterworth Heinemann, Oxford, UK Timetable: 12 hours (subject to changes - check the Calendar of the School for actual dates) 13/07/2020 9.00-13.00 15/07/2020 9.00-13.00 17/07/2020 9.00-13.00 Sala Riunioni I Piano complesso Ex Fisica Tecnica Dipartimento di Ingegneria Industriale Via Marzolo 9, Padova. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on a written questionnaire.

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Ecological modelling basics for environmental impact assessment Lecturer: Prof. Alberto Barausse Department of Biology, University of Padova Email: alberto.barausse@unipd.it Topics: Introduction to ecological modelling Ecotoxicology. Balance, transport and chemical reaction models Nitrogen cycle; Settling and resuspension; Energetic factors. Light extinction. Photosynthesis and primary production. Algal growth. Light and nutrient limitation. Grazing. Phosphorus cycle. kC* model Metabolic - Fish growth models References: L. Palmeri, A. Barausse and S.E. Jorgensen, Ecological Processes Handbook, CRC Press, 2013 S.E. Jorgensen and G. Bendoricchio, Fundamentals of Ecological Modelling, third edition, Elsevier, 2001. S.C. Chapra, Surface water-quality modeling, 1997. R.H. Kadlec and R.L. Knight, Treatment wetlands, 1996, CRC press. Language of the course: English Timetable: Duration of the course: 12 teaching hours Schedule: any month after November Location: Padova, room X Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on: oral discussion of the lecture topics, in relation to a case study related to the individual PhD project if feasible.

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Ecotoxicology as an heuristic approach to environmental engineering Lecturer: Prof. Luca Palmeri, Dipartimento di Ingegneria Industriale, Università di Padova lpalmeri@unipd.it Topics: Main objectives : To organize knowledge, based on explanatory principles, about chemicals in the biosphere and their effects. To develop and apply methods and decision tools (ecotox models, LCI, Risk analysis, etc.) to acquire a better understanding of chemical fate and effects in the biosphere. To use biomonitoring: use of organisms to monitor contaminations and to imply possible effects to biota or sources of toxicants to humans; To be critical in environmental decisions. To use your ecotoxicology-knowledge in different fields (work safety, health aspects in confined spaces, etc.) Program : Introduction, Regulations Classification methodologies (REACH, CLP) Toxic Chemicals in general Chemical properties , Classification of chemicals Partition coefficient and degradation parameters Ecotoxicological parameters Ecological risk assessment Chemical properties estimation QSAR approach An introduction to fugacity models References: L. Palmeri, A. Barausse and S.E. Jorgensen, Ecological Processes Handbook, CRC Press, 2013 S.E. Jorgensen and G. Bendoricchio, Fundamentals of Ecological Modelling, third edition, Elsevier, 2001. Newman MC, MA Unger. 2002. Fundamentals of ecotoxicology, 2nd Edition. CRC/Lewis Press, Boca Raton, FL. Timetable: 12 hours Period: March 2020 (subject to changes - check the Calendar of the School for actual dates) Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on the discussion of a case study within the individual PhD project. !

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Entrepreneurship and Technology-based Startups Lecturers: Prof. Moreno Muffatto, Dipartimento di Ingegneria Industriale, Università di Padova  moreno.muffatto@unipd.it Ing. Francesco Ferrati, Dipartimento di Ingegneria Industriale, Università di Padova francesco.ferrati@unipd.it  Topics  From the idea to the market 

From a research project to an entrepreneurial project 

Recognize and evaluate an entrepreneurial opportunity 

Market dimension, customers profiles and value proposition 

Development of the product/service concept 

Go‐to‐Market strategies 

Intellectual Property Rights 

Types of IPR (patent, copyright, trademark) 

The structure of a patent application (description, claims, etc) 

Getting a patent: the patenting process (step by step) 

When to file a patent application: priority date, Patent Cooperation Treaty (PCT) 

Where to protect an invention 

Different IPR strategies  The team and the early decisions 

The creation of the founders' team 

Types and characteristics of founders' teams 

Founders' decisions and their consequences 

Frequent mistakes and suggestions deriving from experience  The economic and financial aspects of a startup 

The fundamental economic and financial operations of a technology‐based startup 

The structures of the financial statements 

Income Statement, Balance Sheet, Cash Flow 

Evaluation of the value of the company 

Sources and cost of capital  Funding a startup 

Different sources of funds: Angel Investors and Venture Capital 

Investment companies and funds: how they work 

How and what investors evaluate 

The investment agreements between investors and startups 

New ventures’ funding options   References: 

Noam Wasserman (2013) The Founder's Dilemmas: Anticipating and Avoiding the Pitfalls That Can Sink a Startup, Princeton University Press. 

Thomas R. Ittelson (2009), Financial Statements: A Step‐by‐Step Guide to Understanding and Creating Financial Reports, Career Press. 

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Hall, J., & Hofer, C. W. (1993). Venture capitalists' decision criteria in new venture evaluation. Journal of Business Venturing, 8(1), 25‐42. 

 Timetable: 20 hours     November 2019 ‐ January 2020  Wednesday, November 27,  9:30 ‐12:30 Wednesday, December   4,   9:30 ‐12:30 Wednesday, December 11,   9:30 ‐12:30 Wednesday, December 18,   9:30 ‐12:30 Wednesday, January 8,    9:30 ‐12:30 Wednesday, January 15,   9:30 ‐12:30 Wednesday, January 29,   9:30 ‐11:30  Where: Sala Riunioni Terzo Piano, Dipartimento di Ingegneria Industriale, Via Venezia 1, Padova.  Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer.  Examination: Attendance is required for at least 70% of the lecture hours (i.e. 14 hours) Final evaluation will be based on the discussion of a case study of a technology‐based startup. 

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Experimental Measurements in Thermal Fluid Dynamics Lecturers: Dr. Andrea Diani, Department of Industrial Engineering, University of Padova andrea.diani@unipd.it (6 hours) Dr. Marco Azzolin, Department of Industrial Engineering, University of Padova marco.azzolin@unipd.it (6 hours) Topics: Uncertainty in measurements. The least-squares method for data interpolation (2 hours). Thermocouples: theory and experimental calibration (2 hours). Measurements of pressure, temperature (IR-thermography) and flow rate (2 hours). Experimental temperature and flow rate measurements during air and liquid flow (2 hours). Measurements of solar radiation and concentrated solar flux (4 hours). References: GUM: Guide to the Expression of Uncertainty in Measurement. http://www.bipm.org/en/publications/guides/gum.html Termodinamica applicata, A. Cavallini, L. Mattarolo, CLEUP Editore, cap. XIII. V.J. Nicholas, D.R. White. 1994. Traceable Temperatures – An Introduction to Temperature Measurement and Calibration, John Wiley & Sons Ltd, West Sussex, England. Language of the course: English Timetable: 12 hours (subject to changes - check the Calendar of the School for actual dates) Tuesday, 5th February 2020: h. 9:00-13:00 Thursday, 6th February 2020: h. 9:00-13:00 Tuesday, 12th February 2020: h. 9:00-11:00 Thursday, 13th February 2020: h. 9:00-11:00 Aula Seminari, Department of Industrial Engineering, 3rd floor (building E) Via Venezia 1, Padova; Laboratorio di Trasmissione del Calore in Microgeometrie e Laboratorio Scambiatori di Calore Department of Industrial Engineering (building E), Via Venezia 1 - Padova. Admission: To attend the course, registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/). Once you are registered, if you can not attend the course, please inform the lecturers. Examination: Attendance is required for at least 2/3 of the lecture hours.

Final evaluation will be based on home assignment.

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Finite Element Method (FEM)

Lecturer: Prof Giuseppe Gambolati, Dipartimento di Metodi e Modelli Matematici per le Scienze Applicate (DMMMSA), Università di Padova, gambo@dmsa.unipd.it Topics: Introduction. Sparse linear systems of large size. Conjugate gradient like methods for symmetric positive definite matrices. Acceleration of convergence by preconditioning. Preconditioners. Computation of the smallest eigenvalues of symmetric eigenproblems. Outline of PDEs’ of second order of elliptic, parabolic and hyperbolic type. Interpolation with piecewise polynomials. Linear, bilinear, biquadratic, bicubic, quadrilateral, serendipity and isoparametric finite elements. Variational principles. FEM (Finite Element Method). Variational approaches of Ritz and Galerkin. Weak formulations. Method of weigthed residuals. Non conforming elements and patch test. Integration in time by Finite Differences (FD). Stability analysis. Solution to sets of nonlinear equations.

References: Handouts from the lectures. Giuseppe Gambolati, Lezioni di Metodi Numerici per Ingegneria e Scienze Applicate, con esercizi, Cortina, 2° Ed., 619 pp, 2002. Thomas J.R. Huges, The Finite Element Method: Linear Static and Dynamic Finite Element Analysis, Prentice-Hall, 833 pp, 1987. Myron B. Allen et al., Numerical Modeling in Science and Engineering, J. Wiley, 412 pp, 1988.

Timetable: 32 hours October (as from 14th): on Mondays (except on 31st October) and Thursdays, h.16.30-18.00. The lesson originally scheduled on 31st October will be held on 9th December (Monday) at the same hour. November (as from 4th): on Mondays and Thursdays, h.16.30-18.00 2nd December: h. 16.30-18.00 5th December: h. 16.30-18.00 9th December: h. 16.30-18.00 Venue: room M6, via Venezia 1 If there are less than five Ph.D. students enrolled, the course won’t start. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer.

Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on an oral examination.

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Fundamentals of Materials Selection Lecturer: Prof. Enrico Bernardo, Dipartimento di Ingegneria Industriale enrico.bernardo@unipd.it Topics: Introduction to materials selection. Material property charts. Selection strategies Material indices. Case studies in construction of materials indices. Application of material property charts in simple materials selection and in the design of composite materials. Introduction to shape factors. Combination of shape factors and materials indices, with case studies. Strategies for selection with multiple constraints and objectives. References: http://www.grantadesign.com/news/archive/Ashbycharts.htm M.F. Ashby, Materials Selection in Mechanical Design, Butterworth Heinemann, Oxford, UK M.M. Farag, Materials and Process Selection for Engineering Design, CRC Press, Boca Raton, FL Timetable: 12 hours (subject to changes - check the Calendar of the School for actual dates) 29/06/2020 9.00-13.00 01/07/2020 9.00-13.00 03/07/2020 9.00-13.00 Sala Riunioni I Piano complesso Ex Fisica Tecnica Dipartimento di Ingegneria Industriale Via Marzolo 9, Padova.

Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours.

Final evaluation will be based on a written questionnaire.

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GREEN CHEMISTRY The course aims to cover the various aspects of the new way of looking at and designing industrial chemical processes that goes by the name of green or sustainable chemistry. The course is structured in 6 lessons and 1 workshop. Lessons in the period may-june-july 2020 In particular, the following topics will be presented: LESSON 1, Lecturer Prof. Roberta Bertani, DII, UNIPD Date to be defined Principles of Sustainable and green chemistry; Chemistry and environment; Green chemistry and ustainable development (LCA as a tool for identification of more sustainable product and process). LESSON 2, Lecturer Prof. Alessandro Scarso, Università di Venezia, Ca’ Foscari Date to be defined Modern solvent selection rules in green chemistry, neoteric solvents: water, fluorous biphasic systems, micellar catalysis, SC CO2, bio-renewable solvents. LESSON 3, Lecturer Dr. Giuseppe Guercio, Lundbeck Italia Date to be defined Green metrics: evaluating the “Greenness” of chemical processes and products. Some examples. LESSON 4, Lecturer Prof. Paolo Sgarbossa, DII, UNIPD Date to be defined Green Nanotechnology: nanomaterials from green sources and green processes. LESSON 5, Lecturer Prof. Aaron Sadow, Iowa State University Date to be defined Green approaches for catalysis and Polymeric materials: green treatments in industrial engineering. LESSON 6, Lecturer Prof. Roberta Bertani, DII, UNIPD Date to be defined The REACH/CLP legislation. WORKSHOP, Coordinator Dr. Giuseppe Guercio, Lundbeck Italia Date to be defined Experiments on evaluation of greenness of some chemical processes.  

Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. At the end of the course, students will be asked to carry out a study on a specific aspect or process among those treated. The essay (in English) will be submitted and discussed on a date to be agreed with Prof. Bertani, by the end of September. .

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Mechanical and Thermal Electricity Energy Storage

Lecturers:

- Alberto Benato - Department of Industrial Engineering - University of Padova – alberto.benato@unipd.it - Anna Stoppato - Department of Industrial Engineering - University of Padova – anna.stopato@unipd.it - Giovanna Cavazzini - Department of Industrial Engineering - University of Padova – giovanna.cavazzini @unipd.it

Topics:

In the recent years, a large number of plants fed by Variable Renewable Energy Sources (mainly wind and solar) have been added to the electric grid introducing management and control issues. In fact, with a large number of users and producers, the demand and plants production become difficult to forecast. Thus, there can be areas characterized by over-capacity and zones with under-capacity. Unbalance between production and demand which are difficult to predict and manage and that can cause local o even global blackouts. Therefore, there is an urgent need of developing and installing large-scale Energy Storage units. On the basis of the above considerations, the first aim of the COURSE is to present and classify the energy storage technologies. Then, the focus is posed on large-scale Electricity Storage technologies. These Units are “in-depth” analyzed with the aim of identifying characteristics, advantages and drawbacks. The Storage Technologies analyzed in the course are:

- Pumped Hydro Storage or Pumped Hydroelectric Energy Storage. - Compressed Air Energy Storage. - Gravity Energy Storage: Gravity Power Module, Energy Cache Gravity Energy Storage and Advanced Rail Energy Storage. - Liquid Air Energy Storage. - Hydrogen Energy Storage. - Pumped Thermal Electricity Storage or Pumped Heat Energy Storage. - Air based Thermal Electricity Storage Technology.

Finally, the analyzed technologies are compared based on technical and economic indexes. Particular attention will be paid on the environmental impact considering the entire life cycle according to a LCA approach.

References:

- Benato A. and Stoppato A. (2018), “Pumped Thermal Electricity Storage: A technology overview”, Thermal Science and Engineering Progress, Vol. 6, pp. 301–315. - Benato A. and Stoppato A. (2018), “Energy and cost analysis of an Air Cycle used as prime mover of a Thermal Electricity Storage”, Journal of Energy Storage, Volume 17, June 2018, Pages 29–46. - Benato A. (2017), “Performance and Cost Evaluation of an Innovative Pumped Thermal Electricity Storage Power System”, Energy, Volume 138, 1 November 2017, Pages 419-436

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- Benato A., Stoppato A. and Mirandola A. (2017), “State-of-the-art and future development of sensible heat thermal electricity storage systems”, International Journal of Heat and Technology, Vol. 35, Special Issue 1, September 2017, pp. 244-251. - Stoppato A. and Benato A. (2017), “The Importance of Energy Storage”. World Scientific Series in Current Energy Issues, Energy Storage - Volume 4, Pages: 1-26, Marcus Enterprise LLC, USA & University of South Carolina, USA. - Pérez-Díaz, J. I., Chazarra, M., García-González, J., Cavazzini, G., Stoppato, A. (2015), “Trends and challenges in the operation of pumped-storage hydropower plants”, Renewable and Sustainable Energy Reviews, 44, 767-784. - Ardizzon, G., Cavazzini, G., Pavesi, G. (2014), “A new generation of small hydro and pumped-hydro power plants: Advances and future challenges”, Renewable and Sustainable Energy Reviews, 31, 746-761.

Timetable:

15 hours

- 27 March 2020 – From 9 AM to 12 PM (3 hours lesson)

- 3 April 2020 – From 9 AM to 12 PM (3 hours lesson)

- 10 April 2020 – From 9 AM to 12 PM (3 hours lesson)

- 17 April 2020 – From 9 AM to 12 PM (3 hours lesson)

- 24 April 2020 – From 9 AM to 12 PM (3 hours lesson)

Venue: Sala Riunioni Grande (Large Meeting Room), 3rd floor, Industrial Engineering Dept., via Venezia 1, Padova.

Admission:

To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer about that.

Examination:

Attendance is required for at least 2/3 of the lecture hours while final evaluation is based on an oral examination.

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MONITORING TECHNIQUES AND SYSTEMS FOR HIGH VOLTAGE INSULATED CABLES Lecturer: Ing. Sebastian Dambone Sessa, Dipartimento di Ingegneria Industriale, Università di Padova sebastian.dambonesessa@unipd.it Topics:

- General introduction to real time thermal monitoring (RTTM) on HV cables.

- Technologies for RTTM The common used technologies to detect the temperature profile along HV and EHV cable transmission lines will be analyzed, in particular: master slave systems, thermosensitive cables and optical fiber based systems. A brief overview of the new trends of research on this field will be presented.

- Partial discharge detection in HV and EHV cables After a brief recall of the partial discharge phenomenon, the most used systems and algorithms for real time detection of partial discharges in high voltage cables will be described.

- Systems to detect moisture penetration and mechanical stress in high voltage cables.

- Fault detection systems. An overview of the most used power cables fault location techniques will be presented.

References: (The slides of the course, together with scientific articles will be made available to the students) Timetable: 8 hours (subject to changes - check the Calendar of the School for actual dates) 26/05/20 10:00-12:00 29/05/20 10:00-12:00 08/06/20 10:00-12:00 12/06/20 10:00-12:00 Saletta gialla, Dipartimento di Ingegneria Industriale, Via Gradenigo 6/A, 35131, Padova Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/). Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on written questionnaire

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Particle Image Velocimetry: theory and applications Lecturer: Ing. Antonio Rossetti, Istituto per le Tecnologie della Costruzione, Sede di Padova antonio.rossetti@itc.cnr.it Topics: The course will focus on the theoretical and practical aspects of the Particle Image Velocimetry. The main physical principles involved and the main elements of the measurements technique (the laser source, the imaging devices and the tracer) will be presented. Application examples to real cases will be discussed, highlighting the actual peculiarities of setting up a PIV experiment for a given problem. The course includes experimental activity at the ITC CNR thermo-fluid dynamic laboratory in Padua. References: Particle Image Velocimetry – a practical guide. M Raffel, C. Willert, S. Wereley and J. Kompenhans. ISBN 978-3-540-72307-3 Second Edition Springer Berlin Heidelberg New York. Language of the course: English Timetable: Duration of the course: 10 hours Schedule: April 2020, articulated in tree lessons as follow: ## / 04 / 20 9:00-12:00 ## / 04 / 20 9:00-12:00 ## / 04 / 20 9:00-13:00 Location: Biblioteca, Istituto per le Tecnologie della Costruzione, Sede di Padova, c.o. CNR - Area della Ricerca di Padova, Corso Stati Uniti,4 - 35127 Padova – Italy Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on: an oral test.

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Reactive Fluid Mechanics Lecturer: Prof. Paolo Canu Dipartimento di Ingegneria Industriale, Università di Padova paolo.canu@unipd Topics: The course aims at critically and ‘experimentally’ analyze the role of chemical reactions in single- (homogeneous) and multi-(heterogeneous) phases configurations, with explicit examples. Review of the essential of non-reactive, isothermal, incompressible flow field computations The prediction of temperature distribution in convective, unreactive flows. The variable density case, including buoyancy (subsonic flows). Mixing. Homogeneous and heterogeneous reactions: concepts, examples, implementation, effects. The case of porous domains. References: Multiphase reacting flows: modelling and simulation, Marchisio D and Fox, R. (Eds.) Springer, 2007 Lanny D. Schmidt, “The Engineering of Chemical Reactions” 2nd Ed. Oxford Univ. Press, 2004 ISBN-10: 0195169255 “COMSOL Multiphysics Reference Manual, version 5.3", COMSOL, Inc, www.comsol.com Timetable: 12 hours The course will be organized as 3 sessions of 4 teaching hours (1.5h+1.5h) in different days within the month of March 2020. It will be based on classroom and computer room lessons, with direct use of a commercial code (Comsol Multiphysics). The final schedule will be set in February 2020, allowing for computer room availability. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for all the course. The final evaluation is based on the discussion of one of the case studies developed during the course

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Short overview on ceramic materials for energy applications -thermoelectricity and H2 separation Lecturer: Dr Monica Fabrizio, ICMATE Padova, CNR monica.fabrizio@cnr.it  Topics:  ‐ Introduction to thermoelectricity: figure of merit, Seebeck coefficient, and thermal and electric conductivity. The role of thermoelectrics in the low carbon energy applications.  

‐ Thermoelectric materials for medium‐high working temperatures; polymeric thermoelectric materials for near‐room temperature heat harvesting for micropower generation.  

‐ Specific contact resistance in thermoelectrics; metal – semiconductor contacts; effect of contact resistance on ZT; measurement of contact resistance; effect of contact resistance on TE module. 

‐ Introduction to dense membrane technology, H transport, H permeation ‐ Ceramic membranes: proton conducting ceramics, MIEC, membrane architectures ‐ Permeability measurement device 

  Laboratory visit and practical demonstrations based on advanced measurement equipment.    References:  Slides of lessons. Recent papers    Timetable: 12 hours (subject to changes ‐ check the Calendar of the School for actual dates) March ‐ April c/o CNR Area della ricerca, ICMATE Edificio 6, Biblioteca  Corso Stati Uniti 4, Padova   Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/). After registration, please send the registration data to Dr. Monica Fabrizio monica.fabrizio@cnr.it. Once you are registered, if you can not attend the course, please inform the lecturer.     Examination: Attendance is required for at least 2/3 of the lecture hours.  Final evaluation will be based on written questionnaire.

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Statistics for Engineers

Lecturers: Prof. Luigi Salmaso, in collaboration with Prof. Livio Corain, Prof. Rosa Arboretti Department Dipartimenti DTG e ICEA, Università degli Studi di Padova Email: luigi.salmaso@unipd.it Topics: The course will focus on the discussion of the main statistical tools which can be applied to problems in the field of engineering. The aim is to provide to PhD students the theoretical knowledge and the practical means to carry out quantitative analysis on data of different nature including data from their PhD project. The statistical software “Minitab” will be extensively used to apply the techniques to practical case studies. The main topics of the course are:

Descriptive statistics 1 sample hypothesis tests 2 sample hypothesis tests Linear regression Analysis of variance (ANOVA) Design of experiments: 2 level factorial designs Design of experiments: general factorial and response surface designs

References: Montgomery, D. C. (2001). Design and analysis of experiments. New York: John Wiley. Language of the course: English Timetable: Duration of the course: 32 Schedule February, 2020: 10, 12, 14, 18, 20 Location: Aule informatiche Polo Meccanico. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on: a personal project (home assignment) in which the student is asked to apply the techniques learned to their individual PhD project or other data of their choice.

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Sustainable Energy in Buildings Lecturers: Dr. Angelo Zarrella, Dipartimento di Ingegneria Industriale, Università di Padova angelo.zarrella@unipd.it Prof. Michele De Carli, Dipartimento di Ingegneria Industriale, Università di Padova michele.decarli@unipd.it Dr. Giuseppe Emmi, Dipartimento di Ingegneria Industriale, Università di Padova giuseppe.emmi@unipd.it Dr. Jacopo Vivian, Dipartimento di Ingegneria Industriale, Università di Padova jacopo.vivian@unipd.it Prof. Roberto Zecchin, Studioso Senior, Università di Padova roberto.zecchin@unipd.it Topics: Efforts to reduce CO2 emissions have become a pivotal environmental priority of this century. Buildings are responsible for about 40% of total energy consumption in Europe and similar values are also found in other countries. To decrease this value some of the open options are those of improving the quality of buildings’ envelopes or of using energy-efficient heating and cooling technologies based on renewable energies. The current tendency when new constructions are being designed is to plan low or nearly zero energy buildings. The greatest challenge at the moment is, however, that of retrofitting already existing buildings which represent the largest segment of the built environment, and thus offer a high potential of reducing energy consumption. Some of the open options are those of improving the quality of buildings’ envelopes or of using energy-efficient heating and cooling technologies based on renewable energies. The course looks at the assessment of current and potential future energy systems in buildings, covering conversion, and end-use, with emphasis on meeting regional and global energy needs in a sustainable manner. Different renewable and conventional energy technologies will be presented and their attributes described within a framework that aids in evaluation and analysis of energy technology systems in the context of environmental goals. During the course methods, simulation tools (TRNSYS) and instruments to evaluate the energy performance of buildings and indoor environmental quality will be also presented and used. Moreover, the course aims at providing an overview of the various issues that have to be adequately combined to offer the occupants a physical, functional and psychological well-being. References: ASHRAE Handbooks and Standards, AiCARR guidelines, international standards, examples of design of efficient buildings and systems. Timetable: 12 hours (subject to changes - check the Calendar of the School for actual dates) May-June 2020 Seminar Room, Third floor of building “Corpo E”, via Venezia 1, Dipartimento di Ingegneria Industriale, Padova Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer.

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Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on the discussion of a case study within the individual PhD project.

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Technological Advancements in Electromobility Lecturer: Profs. Manuele Bertoluzzo and Giuseppe Buja, Dipartimento di Ingegneria Industriale, Università di Padova, manuele.bertoluzzo@unipd.it, giuseppe.buja@unipd.it Topics: The course is divided into four 2-hour lessons. First lesson deals with the powertrains of the purely electric and hybrid vehicles. Second lesson deals with the energy storage devices on-board the electric vehicles. Third lesson deals with the infrastructures for the wired charging of the batteries of the electric vehicles. Fourth lesson addresses the fuel cell vehicles and the wireless charging of the electric vehicles. References: Course notes (slides) Timetable: 8 hours (subject to changes - check the Calendar of the School for actual dates) 19/05/2020 15.00-16:30 21/05/2020 15.00-16:30 26/05/2020 15.00-16:30 28/05/2020 15.00-16:30 Saletta “gialla” I Piano, Dip. di Ingegneria Industriale, Via Gradenigo 6a, Padova. Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer about that. The course will be held only if the number of attendees is not less than 3. Examination: Attendance is required for at least 2/3 of the lecture hours.

Final evaluation will be based on a colloquium

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Tutela della proprietà intellettuale

Docenti:

Avv. Luca Giove - Libero professionista Ing. Gianluigi Zanettin - Patent Attorney, Jacobacci & Partners Spa Personale interno – Ufficio valorizzazione della ricerca, Università di Padova

Programma:

1. La tutela dell'innovazione tecnologica: brevetti, modelli di utilità, altre privative e segreto industriale (Avv. Luca Giove) 2. Aspetti tecnici dei brevetti nel settore ingegneristico (Ing. Gianluigi Zanettin) - Introduzione generale alla tutela della Proprietà Intellettuale - Funzione e struttura del brevetto d'invenzione - Esclusioni dalla brevettabilità: cenni alla brevettazione del software - I requisiti di brevettabilità - I diritti conferiti dal brevetto - La valutazione dell'interferenza con diritti brevettuali di terzi - Tutelabilità vs attuabilità, brevettabilità vs interferenza - Esempi - Le ricerche di anteriorità 3. I servizi dell'Ateneo ai dottorandi e ricercatori nel campo della proprietà intellettuale (Personale interno – Ufficio valorizzazione della ricerca, Università di Padova)

Calendario:

18 ore 3 febbraio 2020: 9:30 – 13:30 17 febbraio 2020: 9:30 – 13:30 21 febbraio 2020: 9:30 – 13:30 27 febbraio 2020: 9:30 – 13:30 5 Marzo 2020: 9:30 – 11:30 Sala riunioni grande, terzo piano dalla sede del DII in via Venezia 1. Modalità di iscrizione: Per frequentare il corso è necessario iscriversi utilizzando la piattaforma Moodle del Corso di dottorato (per accedervi cliccare su “dettagli” in corrispondenza al titolo del corso alla pagina http://www.cdii.dii.unipd.it/corsi/). Una volta iscritti, se non è più possibile partecipare, si prega di informare il docente.

Modalità di valutazione :

Obbligo di frequenza per almeno 2/3 della durata prevista. È prevista una prova scritta finale.

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Vibration energy harvesting Lecturer: Prof. Alberto Doria Department DII, University of Padova Email: alberto.doria@unipd.it Topics: Please describe the main topics covered by the course Review on mechanical vibrations. Fundamentals of vibration harvesting technologies, piezoelectric, electromagnetic and capacitive harvesters. Mathematical modeling of piezoelectric harvesters. Testing of piezoelectric harvesters Applications of harvesters Applications of piezoelectric harvesters (harvesters for vehicles, rain-drop harvesters) References: List some bibliographical references (these could/should be provided by the lecturer to the students) PRIYA, S., INMAN,D., Energy Harvesting Technologies, Springer 2009.

DORIA, A. MORO F., DESIDERI D., MASCHIO A., ZHANG Z., (2016), An impulsive method for the analysis of piezoelectric energy harvesters for intelligent tires. In Proceedings of the ASME 2016 International Design Engineering Technical Conference and Computers and Information in Engineering Conference IDETC/CIE 2016, paper DETC2016-59105.

DORIA A., C. MEDÈ C., D. DESIDERI D., MASCHIO A., CODECASA L., MORO F., (2018), On the performance of piezoelectric harvesters loaded by finite width impulses, Mechanical Systems and Signal Processing, Vol. 100 (2018) 28–42. Language of the course: English Timetable: Duration of the course: 8 hours Schedule: second semester (actual dates to be defined) Location: Lab of Mechanical Vibrations of DII Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours. Final evaluation will be based on: The discussion of a case study related to the individual PhD project

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Waste Heat Recovery Units for Industrial Energy Efficiency

Lecturers:

- Alberto Benato - Department of Industrial Engineering - University of Padova – alberto.benato@unipd.it - Anna Stoppato - Department of Industrial Engineering - University of Padova – anna.stopato@unipd.it - Giovanna Cavazzini - Department of Industrial Engineering - University of Padova – giovanna.cavazzini @unipd.it

Topics:

In process industries, large amount of medium and low-grade heat is generated and wasted due to the absence of internal heat demand. However, in the last decades, several technologies have been proposed to convert waste heat into useful electricity. For this reason, the COURSE aim is to analyze the Waste Heat Recovery Technologies based on an “in-depth” state of the art analysis. In the first part of the course, the attention is devoted to the motivation that force researchers to develop Waste Heat Recovery Units (WHRUs). Then, energy sectors, sources types and temperature ranges as well as WHRU technologies are analyzed. In this context, the state of the art in terms of plant layouts and fluids of

- Steam Rankine Cycle. - Organic Rankine Cycle. - Air Bottoming Cycle. - Supercritical CO2 cycle. - Kalina Cycle. - Trilateral Flash Cycle.

are presented and discussed with the aim of identifying the most suitable technology for each temperature range and source type. Optimization methods for fluid and plant layout selection is also presented during the course. Finally, several examples, based on real application, are given.

References:

- Benato A. (2018), “Improving the efficiency of a cataphoresis oven with a cogenerative organic Rankine cycle unit”, Thermal Science and Engineering Progress, Volume 5, March 2018, Pages 182-194. - Cavazzini, G., Pavesi, G., Ardizzon, G. (2018), “A novel two-swarm based PSO search strategy for optimal short-term hydro-thermal generation scheduling”, Energy Conversion and Management, 164, 460-481. - Benato A., Stoppato A., Mirandola A., Del Medico M. (2017), “Design and off-design analysis of an ORC coupled with a micro-gas turbine”, Energy Procedia, Volume 129, September 2017, Pages 551-558. - Benato A., Macor A. (2017), “Biogas engine waste heat recovery using Organic Rankine Cycle”, Energies, Volume 10, Issue 3, 8 March 2017. - Pezzuolo A., Benato A., Stoppato A., Mirandola A. (2016), “The ORC-PD: A versatile tool for fluid selection and Organic Rankine Cycle unit design”, Energy, Volume 102, 01 May 2016, Pages 605-620. - Benato A., Stoppato A., Mirandola A. (2016), “Renewable Energy Conversion and Waste Heat Recovery Using Organic Rankine Cycles”, Edited Book “Renewable Energy Systems”. Published by Nova Science Publishers, USA, 1 January 2016.

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- Cavazzini, G. and Dal Toso, P. (2015), “Techno-economic feasibility study of the integration of a commercial small-scale ORC in a real case study”, Energy Conversion and Management, 99, 161-175. - Benato A., Pierobon L., Kaern M. R., Haglind F., Stoppato A. (2015), “Analysis of hot spots in boiler of organic Rankine cycle units during transient operation”, Applied Energy, Volume 151, 1 August 2015, Pages 119-131. - Pierobon L., Benato A., Scolari E., Haglind F., Stoppato A. (2014), “Waste Heat Recovery Technologies for Off-shore Platforms”, Applied Energy, Volume 136, 01 December 2014, Pages 228-241.

Timetable: 12 hours

- 4 September 2020 – From 9 AM to 12 PM (3 hours lesson) - 11 September 2020 – From 9 AM to 12 PM (3 hours lesson) - 18 September 2020 – From 9 AM to 12 PM (3 hours lesson) - 25 September 2020 – From 9 AM to 12 PM (3 hours lesson) Venue: Sala Riunioni Grande (Large Meeting Room), 3rd floor, Industrial Engineering Dept., via Venezia 1, Padova.

Admission:

To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer.

Examination:

Attendance is required for at least 2/3 of the lecture hours while final evaluation is based on an oral examination.

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Yield criteria for polymer materials Lecturer: Mauro Ricotta Department of Industrial Engineering, University of Padova mauro.ricotta@unipd.it Topics: Introduction. Stress-strain curve. Macroscopic and microscopic yielding. Definition of multiaxial stress state. Yield criteria for macroscopic yielding. Yield criteria for microscopic yielding. Examples References: Raghava et al, J Mater Science 1973 Bucknall, Polymer 48, 2007 Timetable: 8 hours November 2019 Admission: To attend the course registration is compulsory by using the Moodle platform of the PhD Course (in order to enter the Moodle platform click on “dettagli” of the course at the page http://www.cdii.dii.unipd.it/corsi/) . Once you are registered, if you can not attend the course, please inform the lecturer. Examination: Attendance is required for at least 2/3 of the lecture hours.

Final evaluation will be based on written questionnaire