Presentation is loading. Please wait.

Presentation is loading. Please wait.

Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.

Similar presentations


Presentation on theme: "Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory."— Presentation transcript:

1 Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory 9. Modeling of engineering practice László Horváth university professor

2 Contents Lecture Laboratory Challenges and possibilities in virtual space. Related constraints Optimizing shape. László Horváth ÓU-IAM Rule Check Reaction Creating connected solid shapes. Definition of related constraints, rule, check, and reaction.

3 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, László Horváth ÓU-IAM

4 Expert-like capabilities Grouping capabilities Relation setsParameter sets Parameter definition capabilities Virtual experiments OptimizingUser defined algorithms for optimization Constraint satisfaction analysis Relating capabilities Rules for parameters depending on situations Checks to recognize situations Formulas Reactions to 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, László Horváth ÓU-IAM

5 Related constraints László Horváth ÓU-IAM

6 Related constraints László Horváth ÓU-IAM

7 Related constraints László Horváth ÓU-IAM

8 Related constraints László Horváth ÓU-IAM

9 Related constraints László Horváth ÓU-IAM

10 Related constraints László Horváth ÓU-IAM

11 Related constraints László Horváth ÓU-IAM

12 Related constraints László Horváth ÓU-IAM

13 Related constraints László Horváth ÓU-IAM

14 Related constraints László Horváth ÓU-IAM

15 Related constraints László Horváth ÓU-IAM

16 Related constraints László Horváth ÓU-IAM

17 Related constraints László Horváth ÓU-IAM

18 Practice of rule and check Rule It 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 change update of the rule (input feature change). Manipulates parameters (value or formula) and features. Check A check is a set of statements. Conditions are fulfilled or not. Does not modify the model. Rule base Rules and checks Can be made up of rule sets. László Horváth ÓU-IAM

19 Rule László Horváth ÓU-IAM PartBody\Hole.1\Activity = true if 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 }

20 Rule is fired when parameter value changed László Horváth ÓU-IAM

21 Check László Horváth ÓU-IAM

22 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 feature A parameter László Horváth ÓU-IAM

23 Reaction László Horváth ÓU-IAM

24 Optimizing shape Active 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 b a v László Horváth ÓU-IAM

25 Studying basic knowledge representations in product model László Horváth ÓU-IAM 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 VE


Download ppt "Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory."

Similar presentations


Ads by Google