course introduction to virtual engineering Óbuda university john von neumann faculty of informatics...

Course Introduction to virtual engineering

Óbuda UniversityJohn von Neumann Faculty of Informatics

Institute of Applied Mathematics

Lecture and laboratory 9.

Modeling of engineering practice

László Horváth university professor

http://users.nik.uni-obuda.hu/lhorvath/

Contents

Lecture

Laboratory

Challenges and possibilities in virtual space.

Related constraints

Optimizing shape.

László Horváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Rule

Check

Reaction

Creating connected solid shapes.Definition of related constraints, rule, check, and reaction.

Challenges and possibilities in virtual space

New challenges

Configuration

Well-engineered

Frequent changes

Short innovation cycle

Competition

Prototyping in virtual

Human related resources

Experience

Expertise

Intelligence

New possibilities

Modeling

PLM

Knowledge in model

Physical-virtual

Sensors

Simulations

Virtual space

Total modeling

Human control

Virtual prototyping

Communication

Source: L. Horváth and I. J. Rudas, “Knowledge Technology for Product Modeling,”Chapter 5 of the book Knowledge in Context – Few Faces of the Knowledge Society, Walters Kluwer, 2010,


Expert-like capabilities

Grouping capabilities

Relation setsParameter sets

Parameter definition capabilities

Virtual experiments

Optimizing User defined algorithms for optimization

Constraint satisfaction analysis

Relating capabilities

Rulesfor parameters depending

on situations

Checksto recognize situations

Formulas

Reactionsto react events by activity

Product structure

Product

Engineering object group

Engineering object

Source: L. Horváth and I. J. Rudas, “Knowledge Technology for Product Modeling,”Chapter 5 of the book Knowledge in Context – Few Faces of the Knowledge Society, Walters Kluwer, 2010,


Related constraints


Practice of rule and check

RuleIt is a set of instructions.

The relationship between parameters is controlled. Actions to set a value or a formula to parameters.

Execute rule:input parameter changeupdate of the rule (input feature change).

Manipulates parameters (value or formula) and features.

CheckA check is a set of statements.

Conditions are fulfilled or not.

Does not modify the model.

Rule baseRules and checks Can be made up of rule sets.


Rule


PartBody\Hole.1\Activity = trueif PartBody\Pad.2\FirstLimit\Length <= 40 mm{ PartBody\Hole.1\Diameter = 20 mm} else if PartBody\Pad.2\FirstLimit\Length <= 60 mm{ PartBody\Hole.1\Activity = false} else { PartBody\Hole.1\Diameter = 35 mm}

Rule is fired when parameter value changed


Check


Practice of reaction

Reacts to events on its sources by an action.

Events:Object (creation, deletion, update, etc.)Parameter value changes. Insert/Replace component Object Drag and Drop

The source can be:A selected featureA parameter


Reaction


Optimizing shapeActive application of FEA.

Design optimization procedure proposes values for design parameters in accordance with design goals and considering design limits.

Instead of analysis of a proposed shape.

Specification by the engineer (conditions for design optimization):

Design parameters to be optimized.

Design limits (allowable values):

Allowable ranges of design parameters,

Stress, deformation, natural frequency.

Design goals:

Minimum, maximum, or optimal values of performance parameters

Minimum mass of the part.

Maximum utilization of allowable stress and deformation.

a b

c

d

ba

v


Studying basic knowledge representations in product model


Creating two solid shapes.Connecting them by relationships.Definition of related constraints.

Definition rule, check, and reaction on one of the solids.

Integrated laboratory task VE9.1-9.2

course introduction to virtual engineering Óbuda university john von neumann faculty of informatics...

Documents

hulhorvath slide

rule lszl horvth uiam

hulhorvath partbodyhole

hulhorvath rule check

check rule

practice of rule

rule sets

product modeling