Presentation is loading. Please wait.

Presentation is loading. Please wait.

Introduction to virtual engineering László Horváth www.nik.hu Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.

Similar presentations


Presentation on theme: "Introduction to virtual engineering László Horváth www.nik.hu Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering."— Presentation transcript:

1 Introduction to virtual engineering László Horváth www.nik.hu Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering Systems Lecture 8. Knowledge based advising and modeling of product functions

2 CONTENTS Product Function Description Human integration and ergonomic simulation Defining and sharing corporate knowledge Space analysis and kinematics simulation Parameters and their relationships Knowledge in product model

3 Defining and sharing corporate knowledge Experts define and share corporate knowledge in compliance with standards. Recording best practices, proven processes. Managing and share corporate knowledge in rule bases. Ensuring design consistency Capturing know-how and re-using it. Embedding knowledge in product model through formulas, rules, reactions and checks. Exploration of design alternatives. Converting implicit practices into explicit knowledge

4 Knowledge in product model Knowledge Conditions for application Representation Formulas, sets Rules, checks Reactions Aggregates Networks Context Parameter range Products view Acceptance Responsibility basedHierarchy based Share in work group or project Applications Procedures (for processing) Models (for embedding) Humans (as information) Sources Defined Collected Captured Purposes Practice Validation Correction Threshold Consistency Repetitive task

5 Rule base Source: www.catia.com

6 Embedding knowledge in product model Source: www.catia.com

7 Parameters and their relationships Define Evaluate Combinations of parameters Interactions between parameters Most influential parameter Optimize Optimal solution Parameters Engineering object Criteria ObjectivesLimitations Customer demand

8 Product optimization I Source: www.catia.com

9 Product optimization II Source: www.catia.com

10 Integration between classical detailed data and formal functional specifications. Handling engineering problems in functional systems Functional element FEModel of FE Functional associativity Functional element FE Model of FE Functional associativity Support Engine supports Arm drives Rib stiffens Lever moves Product Function Description

11 Description of functional systems of a product Source: www.catia.com

12 Handling functional problems Source: www.catia.com

13 Interference analysis. Measurements. Measurements between the deformed shape and surrounding solid parts (within limits in loaded and unloaded conditions). Distance analysis (e. g. computing minimal distances). Geometry comparison. Analysis of mechanism motion. Functional verification of mechanisms. Trace and the swept volume of a moving part. Space analysis and kinematics simulation

14 Section view and measurements Source: www.catia.com

15 Kinematics analysis Source: www.catia.com

16 Building model of a human Creating standard digital humans for human-product interaction analysis. Manikin generation. Manikin manipulation. Movement generation. Improved human comfort, performance, and safety. Human integration and ergonomic simulation Human measurements Ergonomics analysis tools to evaluate all elements of a humans interactions with a product. Analysis of how a manikin will interact with objects in its virtual environment. Human activity analysis Lifting, lowering and carrying analysis Task duration, task frequency, lifting posture (start and finish), coupling conditions, recommended and maximum weight. Pushing and pulling analysis Task duration, task frequency, pushing/pulling posture (start and finish), coupling conditions, recommended and maximum weight.

17 Building model of a Human I. Source: www.catia.com

18 Building model of Human II. Source: www.catia.com

19 Human measuring Source: www.catia.com

20 Human activity analysis I. Source: www.catia.com

21 Human activity analysis II. Source: www.catia.com


Download ppt "Introduction to virtual engineering László Horváth www.nik.hu Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering."

Similar presentations


Ads by Google