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Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials IPMM f 99 Volume 2 Editors: John A. Meech, Marcello M. Veiga, Michael H. Smith, Steven R. LeClair TECHNISCHE INFORMATICNS3IBL:OT; ;HK UNIVERSITATSBIELIOTHEK HANNOVER Hilton Hawaiian Village Hotel Honolulu, Hawaii July 10 - 15,1999 TOC UB/TIB Hannover .1181932 586 89

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Page 1: of the Second International Conference Intelligent Processing and Manufacturing of ... · 2008-02-15 · Intelligent Processing and Manufacturing of Materials Volume 2 Contents Artificial

Proceedings

of the Second International Conference

on

Intelligent Processing and Manufacturing of Materials

IPMMf99

Volume 2

Editors:John A. Meech, Marcello M. Veiga,

Michael H. Smith, Steven R. LeClairTECHNISCHE

INFORMATICNS3IBL:OT; ;HK

UNIVERSITATSBIELIOTHEKHANNOVER

Hilton Hawaiian Village HotelHonolulu, Hawaii

July 10 - 15,1999

TOCUB/TIB Hannover.1181932 586

89

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IPMM'99The Second International Conference on

Intelligent Processing and Manufacturing of Materials

Volume 2

Contents

Artificial Neural Networks I 711

Artificial Neural Networks (ANN) as Simulators and Emulators: 713An Analytical OverviewGuy M. NicolettiUniversity of Pittsburgh at Greensburg, Pennsylvania, USA

Logical Rule Extraction from Data by Maximum Neural Networks 723T. Saito, Y. TakefujiKeio University, Fujisawa, Kanagawa, Japan

Iterative RBF Neural Networks as Metamodels of Stochastic Simulations 729George Meghabghab, George NasrDep't. of Mathematics and Computer Science,Valdosta State University, Valdosta, Georgia, USA

A Systematic and Reliable Approach to Pattern Classification 735R.Doraiswami, M.Stevenson, S. RajanDepartment of Electrical Engineering, University of New Brunswick,Fredericton, New Brunswick, Canada

Dynamic Associative Memory Using Chaotic Neural Networks 743Yoshihisa Fukuhara, Yoshiyasu TakefujiKeio University, Graduate School of Media and Governance, Fujisawa,Kanagawa, Japan

Trends in Intelligent Process Control in the Primary Aluminium Industry 749R.T. Bui*, L. Tikasz*, J. Perron *** Universite du Quebec a Chicoutimi, Chicoutimi, Quebec, Canada** Alcan International Ltd, Jonquiere, Quebec, Canada

Modeling of the Flow Stress Relationship using a BP Network 755Y. Y. Yang, Derek A. LinkensUniversity of Sheffield, Sheffield, U.K.

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Intelligence in Materials Science II 763

The Heredity and Control of Microstructures of Liquid Metals 765During Rapid Cooling ProcessesRang-su Liu, Ji-yong Li, Hai-rong Liu*Department of Physics, Hunan University, Changsha, P.R. China**Department of Chemistry, Hunan University, P.R. China

Al Approach to Internal Variable-based Rheological Model for Steels 773J. Kusiak, M. PietrzykDepartment of Metallurgy and Materials Engineering,Akademia Gorniczo-Hutnicza, Krakow, Poland

Electrolytic ZrC>2 Coating on Co-Cr-Mo Implant Alloys of Hip Prosthesis 779S.K. Yen, H.Z. Zan, M.J. GuoNational Chung Hsing University, Taichung, Taiwan

Automated Stress Control of Electroplated Nickel-Phosphorus Alloy 785G.T. Yu, M. WillamsNational Huwei Institute of Technology, Materials Eng., Taiwan

Mechanism of Electrolytic Coating of A12O3 on MAR-M247 Superalloy 789S.K. Yen, C.C. ChangDep't. of Material Engineering, National Chung Hsing University,Taichung, Taiwan

A New Process to Produce Advanced Zirconia-based Ceramic 797Composites from Low-Value MineralsSonia M. B.Veiga*, Marcello M. Veiga**,A.C.D. Chaklader**, J. C. Bressiani *.* Inst. de Pesquisas Energeticas e Nucleares , Sao Paulo, Brasil.** University of British Columbia, Vancouver, BC, Canada

High Temperature Flow Stress Model and Hot Deformation 805Behaviors for High-Mo Austenitic Stainless SteelXu Yourong, Chen Liangshen, Jin Lei, Wang DeyingMaterials Science and Engineering, Shanghai University,Jiading, P.R. China.

Intelligent Manufacturing III 811

Information Management of Complex Systems: 813Perspectives for the New MillenniumZ. Gomolka*, E. Szczerbicki *** University of Szczecin, Szczecin, Poland** University of Newcastle, Newcastle, Australia

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Present Status of Intelligent Machines in Sheet Metal Fabricating and 817Forming in JapanJunichi EndouKanagawa Institute of Technology, Kanagawa, Japan

Design of Enterprise Network Communication Subsystems 823Adam GrzechWroclaw University of Technology, Poland

The Industrial Desktop - Real Time Business and Process 829Analysis to Increase Productivity in Industrial PlantsOsvaldo A. BascurOSI Software, Inc., The Woodlands, Texas, USA

Enterprise Staff Scheduling by Genetic Algorithm Search 839Tiehua Zhang*, William A. Gruver*, Michael H. Smith *** Simon Fraser University, Burnaby, BC, Canada**University of California, Berkeley, CA, USA and

Intelligence in Surface Processing of Materials 845

Intelligent AE Sensor for Monitoring of Finish Machining Process 847Slavko Dolinsek*, J. Kopac*, Z.J. Viharos*, L. Monostori*** University of Ljubljana, Mechanical Engineering, Slovenia** Hungarian Academy of Science, Budapest, Hungary

A New Fuzzy-Fractal Approach for Surface Quality Control in 855Intelligent Manufacturing Of MaterialsP. Melin, O. CastilloTijuana Institute of Technology, Chula Vista, California, USA

A Study on Axisymmetric Indentation by the Rigid-Plastic 861Finite-Boundary Element MethodYong-Ming Guo, Kenji NakanishiDep't. of Mechanical Engineering, Kagoshima University, Kagoshima, Japan

Design of Intelligent Spindle for High Speed Machining 867B.L. Zhang, Y.P. Li, B.S. Zhu, P. Ma, Y. LuoGuangdong University of Technology, Guangzhou, China

Robotics and Intelligent Control I 869

Autonomous Control of Complex Dynamical Systems in 871Support of a Manned Mission to MarsJames A. Kurien, Daniel J. ClancyNASA Ames MS 269-3, Moffett Field, California, USA

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Mining Automation in the Next Millennium: a Tele-Operated 879LHD Vehicle ModelYeen-Shien Hwang*1, Neda Farmer*2, Jason Hart ***University of British Columbia, Vancouver, B.C., Canada1 Huckleberry Mines Ltd., Houston, B.C., Canada2 Luscar Coal Mine, Hinton, A.B., Canada** Nautilus International Limited, Burnaby, B.C., Canada

Dynamic Reconfiguration of Holonic Lower Level Control 887X. Zhang*, D.H. Norrie*, A. Kusiak *** University of Calgary, Canada** University of Iowa, USA

Intelligent Process Monitoring for Paper Machines 895Janos L. Grantner*, Peter E. Parker**, George A. Fodor ****Department of Electrical and Computer Engineering,West Michigan University, Kalamazoo, Michigan, USA.

** Department of Paper and Printing Science and Engineering,West Michigan University, Kalamazoo, Michigan, USA.

*** ABB Automation Products AB,Vasteras, Sweden

An Integration Design Approach in PID Controller 901Jen-Yang ChenChina Institute of Technology and Commerce, Taipei, Taiwan

Holonically Object Oriented System 909Shigeki SugiyamaGifu Industry and Technology Research Center, Kasamatsu-Cho,Hashima-Gun, Gifu-Ken, Japan.

Intelligent Instrumentation and Measurement 919

Pre-Processing of Industrial Process Data for Outlier Detection 921and CorrectionJonathan Tenner*, Derek A. Linkens*, T.J. Bailey **•University of Sheffield, UK.••British Steel Engineering Steels U.K. Ltd.

Intelligent Measurement System Confirmation 927P. H. Osanna, M.N. DurakbasaVienna University of Technology, Wien, Austria

Simulation of the Dynamic Properties of Nuclear Meters in Coal 933Preparation Control SystemsStanislaw CierpiszSilesian Technical University, Poland

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Acoustic Emission Monitoring of SAG Mill Performance 939SJ. Spencer, J.J. Campbell, K.R. Weller, Y. LiuCSIRO Minerals, Queensland, Australia

Novel Polymeric Electrochemical/Chemical Sensors and Display Devices 947Integrated with Artificial IntelligenceA. Talaie*'**, J.Y.Lee***, Y.K. Lee****, J. Jang*,D.J. Choo****, S.H. Park****, G. Huh****, J.A. Romagnoli**• Physics Department, Kyung Hee University, Seoul, Korea• • Chemical Engineering, Sydney University, Sydney, Australia• • • Chemistry Dep't, NSW University, Sydney, Australia• • • • Kyung Hee University, Seoul, Korea

Material Properties under Drawing and Extrusion with 953Cyclic TorsionL.X. Kong, P.D. Hodgson, L. Lin and B. WangSchool of Engineering and Technology, Deakin University,Geelong, Victoria, Australia

Artificial Neural Networks II 959

Neural Network-based Resistance Spot Welding Quality Prediction 961N. Ivezic, J.D. Allen, Jr., T. ZachariaOak Ridge National Laboratory, Oak Ridge, TN, USA

An Adaptive Artificial Neural Network to Model a Cu/Pb/Zn Flotation 967CircuitSaiedeh Forouzi, John A. MeechUniversity of British Columbia, Vancouver, B.C., Canada

Multivariable Predictive Neuronal Control Applied to 975Grinding PlantsManuel Duarte*, Alejandro Suarez**, Danilo Bassi ***• Dep't. Ing. Electrica, Universidad de Chile, Santiago, Chile• • Dep't. de Electronica, Univ. T.F. Sta. Maria, Valparaiso, Chile••* Dep't. de Informatica, Univ. de Santiago, Santiago, Chile

Practical Neural Network Applications in the Mining Industry 983Logan Miller-Tait, Rimas PakalnisUniversity of British Columbia, Vancouver, B.C., Canada

Neural Network Model and Model-Based Control of Deformation 989ProcessingNenad Ivezic, John D. Allen, Jr., Thomas ZachariaOak Ridge National Laboratory, Oak Ridge, TN, USA

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Verifying Detected Facial Parts by Multidirectional Associative Memory 995Miki Kitabata, Yoshiyasu TakefujiKeio University, Fujisawa Kanagawa, Japan

A Current-Mode Sorting Circuit for Pattern Recognition 1003Gu Lin , Bingxue ShiMicroelectronics, Tsinghua University, Beijing, P.R. China

Intelligence in the Design of Materials and Processes II 1009

Intelligent Design Methods for Smart Materials 1011Madjid Fathi-Torbaghan, L. HildebrandDep't. of Computer Science, University of Dortmund, Dortmund, Germany

Identification of a Model Which Relates Variations in Shape 1017Geometry to Process Control Variables of Shape ForgingB.F. Rolfe*, M.J. Cardew-Hall*, G.A.W. West**, S.M. Adballah*•Australian National University, Canberra, ACT, Australia••Curtin University of Technology, Perth, Australia

Mechanical Characteristics of HIPed SiC Particulate-Reinforced 1023Al-Alloy MMCsC.Y. Chung, K.C. LauCity University of Hong Kong, Kowloon, Hong Kong, P.R. China

Hydrostatic Extrusion of Composite Rod 1029Ui-Bin Tsai, Chi-Wei Wu, Ray-Quen HsuNational Chiao-Tung University, Hsin-Chu, Taiwan

Numerical Modelling and Localized Failure Analysis in Metal Powder 1035Forming ProcessesA.R. Khoei, R.W. Lewis, D.T. GethinMechanical Engineering, University of Wales Swansea, UK

Microstructure and High Temperature Deformation Behavior of a 1041TiN/TisSi3Nano-Grain Composite Produced byNon-Equilibrium PM ProcessingKei Ameyama and Yasuhiko SuehiroRitsumeikan University, Kusatsu City, Shiga, Japan

Shape Prediction of Growing Billet in Spray Casting 1047using a Scanning Gas AtomizerEon-Sik Lee*, Sangho Ahn* and Shinill Kang **•Research Institute of Industrial Science and Technology,Advanced Materials Division, Pohang, Kyungbuk, South Korea

•*Yonsei University, Seoul, Korea

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Intelligence in Concurrent Engineering 1053

Modelling Design Planning in Concurrent Engineering 1055C. Reidsema and E. SzczerbickiDep't. of Mechanical Engineering,University of Newcastle, NSW, Australia

Computer-Aided Integrated Design for Injection Molding 1061Yuh-Min Chen*, Rong-Shean Lee*, ChengTer Ted Ho ***• National Cheng Kung University, Tainan, Taiwan• • • National KaoHsiung Inst. of Science and Technology, Taiwan

Artificial Psychology - an Attainable Scientific Research on the 1067Human BrainZhiliang Wang, Lun XieUniversity of Science & Technology (USTB), Beijing, P.R. China

Soft-Object Technology for Autonomous Manufacturing 1073Components ControlAhmed HambabaCollege of Engineering, San Jose State University, San Jose, CA

A Monitoring Framework for Software Project Development 1079Ho-Leung Tsoi* and Derek Cheung **• Software Quality Institute, Griffith University, Australia• • Computer Studies, City University of Hong Kong, Hong Kong

Redefining the Web: toward the Creation of Large-Scale 1087Distributed ApplicationsGuy M. NicolettiEngineering Department, University of Pittsburgh at Greensburg,Pennsylvania, USA

How Can We Form/Expand Conceptions in Workers' Minds 1093According to Their Individualities?Kumiko IshinoKonan University, Utsunomiya-City, Kobe, Japan

Robotics and Intelligent Control II 1101

Navigation by Weighted Chance 1103S. Reimann*, A. Mansour **•German National Research Center for Information Technology,

Birlinghoven, Germany•• Bio-Mimetic Control Research Center, (RIKEN), Nagoya, Japan

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Vehicle Routing Problem Using Clustering Algorithm by 1109Maximum Neural NetworksNoriko Yoshiike, Yoshiyasu TakefujiKeio University, Fujisawa, Kanagawa, Japan

Acquisition of Communication Protocol for Autonomous 1115Multi-AGVs DrivingMichiko Watanabe, Masashi FurukawaAsahikawa National College of Technology, Hokkaido, Japan

Heuristic Neuro-Fuzzy Model For Evaluation of Urban 1123Transportation ProjectsMarcus Vinicius Quintella Cury, Saul FuksUniversidade Federal do Rio de Janeiro, UFRJ, Brasil

Optimal Controller Design for Finite Word Length Implementation 1125using a Genetic Learning AlgorithmWen-Shyong YuTatung Institute of Technology, Taipei, Taiwan

Adaptive Fuzzy Controller for Non-Linear Uncertain Systems 1131Chiang-Cheng Chiang, Chih-Chien HuTatung Institute of Technology, Taipei, Taiwan, R.O.C.

Hybrid Modeling (view-graphs) 1137

Holistic Strategies for Designing Multistage Material Processes 1139W.G. FrazierAir Force Research Laboratories, Wright-Patterson AFB, Ohio

A New Methodology of Using Design of Experiments as a 1151Precursor to Neural Networks for Material Processing:Extrusion Die DesignBhavin Mehta, Hamza Ghulman, Rick GerthOhio University, Athens, Ohio

Incorporating Hybrid Models into a Framework for Design of 1157Multi-Stage Material ProcessesE. MedinaAir Force Research Laboratories, Ohio

Hybrid Modeling for the Interdisciplinary Design of More 1163Affordable SystemsJ. Poindexter, Gerald R. Shumaker, Brian A. StuckeAir Force Research Laboratories, Ohio

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Hybrid Modeling for Testing Intelligent Software for Lunar-Mars 1179Closed Life SupportJane T. MalinIntelligent Systems Branch, Automation, Robotics and Simulation DivisionNASA Johnson Space Center, Houston, Texas, USA

Discrete Modeling via Function Approximation Methods - 1185Towards Bridging Atomic- and Micro-ScalesA.G. Jackson, M. BenedictAir Force Research Laboratories, Dayton, Ohio, USA

Microstructure Predictions From Atomistic Rule Set Cellular Automata 1197M.O. Zacate, R.W. Grimes, P.D. LeeImperial College, London University, London, England, U.K.

Fuzzy Molecular Modeling 1225David A. RessNorth Carolina State University, North Carolina, USA

Imaging Studies and Density Functional Analysis of Surfaces and 1235Interfaces: Comparison of Theory and ExperimentJohn F. Maguire, Steven R. LeClairAir Force Research Lab, Wright-Patterson AFB, Dayton, Ohio

Modeling Gas Byproducts from MOCVD Thin-Film Depositions 1241J. G. Jones, P.D. JeroAir Force Research Lab, Wright-Patterson AFB, Dayton, Ohio

Imaging for Process Optimization and Control (view-graphs) 1247

Nondestructive Imaging of Surface & Sub-Surface Defects in Thin-Films 1249with Super Spatial Resolution using Evanescent Microwave FieldsMassood Tabib-AzarCase Western Reserve University, Cleveland, Ohio

Investigation of Raman Imaging for Advanced Control of 1258YBCO Cool- Down Processing using Pulsed Laser DepositionJ.D. Busbee * \ R.R. Biggers*, J.G Jones*, D.V. Dempsey*2, G. Kozlowski **• AFRL, Materials, Wright-Patterson AFB, Dayton, Ohio•• AFRL, PRP, Wright-Patterson AFB, Ohio1 Technical Management Concepts, Inc., Beavercreek, Ohio2 University of Dayton Research Institute, Dayton, Ohio

Process Control Via Gaze Detection Technology 1263Jaihie Kim*, Gang Ryung Park*, Steven R. LeClair **• Yonsei University, Seoul, Korea• • AFRL, Wright-Patterson AFB, Dayton, Ohio

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The Third Eye Cameras - Dynamic and Static Hyperspectrum Imaging 1271Yoshiyasu TakefujiEnvironmental Information, Keio University, Fujisawa, Japan

The Third Eye Approach to Innovative Designs and Applications into the 127721st Century - Human Recognition System by Nonlinear OscillationsSouichi Oka, Yoshiyasu Takefuji, William HuangEnvironmental Information, Keio University, Fujisawa, Japan

Intelligent Rate Control for MPEG-4 Coders 1285Gwanh Hoon Park, Jae Hyung Park, Yoon Jin LeeYonsei University, Computer Science, Wonju, Kwangwon, Korea

Concept, Development, Mass Production, and Applications 1297of Artificial Retina ChipsKazuo KyumaMitsubishi Electric Corporation, Japan

Data Reduction via Auto-Associative Neural Networks 1305Claudia Kropas-Hughes,Air Force Research Lab, Wright-Patterson AF Base, Dayton, OH

Image Processing Plume Fluence for Superconducting Thin-Film 1317DepositionsJ.G. Jones*. R.R. Biggers*, J.D. Busbee*1, D.V. Dempsey*2, G. Kozlowski **• Air Force Research Lab, Materials Direct., WPAFB, Dayton, OH•• Air Force Research Laboratory, PRP, WPAFB, Dayton, OH1 Technical Management Concepts, Inc. Beavercreek, OH2 University of Dayton Research Institute Dayton, OH

Innovations in Materials Design 1321

Towards the Future: Innovations in Materials Design 1323Suichi IwataRACE, University of Tokyo, Faculty of Eng., Hongo, Japan

Atomic Environments in Relation to Compound Prediction 1339Jo Daams*, Pierre Villars **• Phillips Research, The Netherlands•• Materials Phases Data System (MPDS), Vitznau, Switzerland

Analysis and Visualization of Category Membership Distribution in 1361Multivariate DataYon-Han Pao*. B.F. Duan*, Y.L. Zhao*, Steven R. LeClair *• Case Western Reserve University, Cleveland, Ohio•• Air Force Research Lab, Wright-Patterson AFB, Dayton, OH

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Whitney Reduction Networks for Process Discovery 1371Mark OxleyMathematics and Statistics, Air Force Inst. Tech., WPAFB, Ohio

Algorithms for Predicting Properties of Materials from Intelligent 1381Materials Design by Hyperspace Data MiningNianyi Chen*, Dongping Daniel Zhu **• Shanghai Metallurgy Inst. of Chinese Acad. ofSci., P.R. China•• Zaptron Systems, Inc., Mountain View, CA, USA

Data Bases and Semantic Networks for Inorganic Materials 1387Computer DesignN.N. KiselyovaA.A.Baikov Institute of Metallurgy and Materials Science, Russian Academy ofScience, Moscow, Russia

First-Principles Calculations for Materials Science: 1397Their Power and LimitationsWanda AndreoniIBM Research Division, Zurich Research Laboratory, Switzerland

Interplay Between Large Materials Databases, Semi-Empirical 1399Approaches, Neuro-Computing and First Principle CalculationsPierre Villars *, Steven R. LeClair **, Suichi Iwata ***• Material Phases Data System (MPDS), Vitznau, Switzerland•• Air Force Research Laboratory, Wright-Patterson AFB, Ohio• • • RACE, Faculty of Eng., University of Tokyo, Hongo, Japan

Software Package "MATERIALS DESIGNER" and its Application 1417in Materials ResearchNianvi Chen*, Wencong Lu**, Ruiliang Chen*, Pei Qin• Shanghai Metallurgy Inst. of Chinese Acad. ofSci., P.R. China•• Department of Chemistry, Shanghai University, P.R. China

Author's Index II-1