Course Introduction to virtual engineering

Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics CourseIntroduction to virtual engineering Lecture and laboratory 9. Modeling of engineering practice László Horváth university professor http://users.nik.uni-obuda.hu/lhorvath/

Contents Lecture Challenges and possibilities in virtual space. Related constraints Rule Check Reaction Optimizing shape. Laboratory Creating connected solid shapes. Definition of related constraints, rule, check, and reaction. LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Challenges and possibilities in virtual space Configuration Modeling Well-engineered PLM Frequent changes Knowledge in model Short innovation cycle Physical-virtual Competition Sensors Prototyping in virtual Simulations Experience Total modeling Expertise Human control Intelligence Virtual prototyping New challenges New possibilities Human related resources Virtual space 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, LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Expert-like capabilities Product structure Relating capabilities Product Checks to recognize situations Engineering objectgroup Rules for parameters depending on situations Engineering object Formulas Reactions to react events by activity Grouping capabilities Parameter sets Relation sets Parameter definition capabilities Virtual experiments Constraint satisfaction analysis Optimizing User defined algorithms for optimization 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, LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Related constraints LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

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

Rule 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 } LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Rule is fired when parameter value changed LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Check LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

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

Reaction LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Optimizing shape v a b d c b a 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. LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Studying basic knowledge representations in product model Integrated laboratory task VE9.1-9.2 Creating two solid shapes. Connecting them by relationships. Definition of related constraints. Definition rule, check, and reaction on one of the solids. LászlóHorváth ÓU-IAM http://users.nik.uni-obuda.hu/lhorvath/

Course Introduction to virtual engineering