Multi-Disciplinary Virtual Prototype Modeling and Simulation Theory and Application

Name: Multi-Disciplinary Virtual Prototype Modeling and Simulation Theory and Application
Brand: Nova Science Publishers Inc
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Chai Xudong(Editor)

Nova Science Publishers Inc

Published on 7. January 2019

301 pages

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978-1-62100-371-7 (ISBN)

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Intro
MULTI-DISCIPLINARY VIRTUALPROTOTYPE MODELING ANDSIMULATION THEORYAND APPLICATION
MULTI-DISCIPLINARY VIRTUALPROTOTYPE MODELING ANDSIMULATION THEORYAND APPLICATION
CONTENTS
PREFACE
ACKNOWLEDGMENTS
FOREWORD
Chapter 1INTRODUCTION
ABSTRACT
1.1. INTRODUCTION
1.2. COMPLEX PRODUCT
1.3. THE COMPLEX PRODUCT VIRTUALPROTOTYPING TECHNOLOGY
1.4. COMPLEX PRODUCTS VIRTUAL PROTOTYPE ENGINEERING
1.5. THE TECHNOLOGIES INVOLVED IN COMPLEX PRODUCTVIRTUAL PROTOTYPE ENGINEERING
1.5.1. The General Technology of Virtual Prototype
1.5.2. The Modeling Technology of Virtual Prototype
1.5.3. Collaborative Simulation
1.5.4. Management Technology of Virtual Prototype
1.5.5. The Conceptual Design and Argumentation of Virtual Prototype
1.5.6. Virtual Reality
1.5.7. Verification, Validation and Accreditation (VV&A) of VirtualPrototype
1.5.8. Integrated Platform of Virtual Prototype
1.5.9. Current Research Hotspots
1.6. RELATED APPLICATIONS OF COMPLEX PRODUCTVIRTUAL PROTOTYPE
(1) BMW
(2) Volkswagen
The Application in Ergonomic Research
The Application in Surface Detection of the Car
Diagnosis of the Car
Assembly/Disassembly Simulation for the Manufacturing and Maintenance ofthe Automotive
(3) EDO Marine and Aircraft Systems (EDO)
1.7. CHALLENGES OF COMPLEX PRODUCT VIRTUAL PROTOTYPEMODELING AND SIMULATION
1. Unified Modeling and Reusing of Heterogeneous Multi-DisciplinaryModels
2. Collaborative Simulation of Distributed, Hierarchical and HeterogeneousModels
2. Life-Cycle Support throughout the R&D Process of Complex Product
CONCLUSION
REFERENCES
Chapter 2BASIC THEORY OF MULTI-DISCIPLINARY VIRTUALPROTOTYPE MODELING AND SIMULATION
ABSTRACT
2.1. INTRODUCTION
2.2. RELATED RESEARCH AND DEVELOPMENT
2.2.1. Multi-Disciplinary Virtual Prototype Modeling Theory and Method
1. Direct Modeling Methods Based on the Structure and Behavior of the PhysicalSystems
2. Modeling According to the Continuous/Discrete Characteristics of the System
3. Modeling Based on Causal Relationship between the Internal Factors and Variables
4. Modeling Based on the Design Thinking of Software
2.2.2. Multi-Disciplinary Virtual Prototype Collaborative SimulationTechnology
1. Simulation Interoperability
2. Sharing and Reuse of Models
Reuse of Professional Models Based on MDA
Reuse Based on Software Technology
Domain-Oriented Sharing and Reuse for Specific Professional Field
New Concept of Sharing Based on Grid and Service
3. Modularized Simulation
2.2.3. Summary of the Research
2.3. PRIMARY PRINCIPLE OF COSIM
2.3.1. Metaphor
2.3.2. The Proposal of COSIM
2.3.3. The Content of COSIM
2.4. HIERARCHICAL MODEL FRAMEWORK OF M2F
2.4.1. Hierarchical M2F
2.4.2. Meta-Meta Model Layer: CAP Model
2.4.3. Meta Model Layer: CIM Model
2.4.4. Model Layer: High-Level Model, HLM
2.4.5. The Self-Nested Feature of High-Level Model
2.5. THE ARCHITECTURE OF COSIM
2.5.1. M2F: a Hierarchical Model Framework
2.5.2. High-Level Modeling Theory
2.5.3. Collaborative Simulation Technology
2.5.4. Multi-Disciplinary Optimization Technology
2.5.5. Engineering Methodology of Multi-Disciplinary Virtual Prototype
CONCLUSION
REFERENCES
Chapter 3HIGH-LEVEL MODELING THEORY
ABSTRACT
3.1. INTRODUCTION
3.1.1. Overview of Heterogeneous System Modeling Strategy
3.1.1.1. Modeling Based on Multi-Domain Unified Modeling Language
3.1.1.2. Modeling Based on Formalism Transformation
3.1.1.3. Modeling Based on Integration of Multi-Domain Simulation Software
3.1.1.4. Modeling Based on General Conceptual Specification
3.1.2. System Modeling Based on Meta-Model
3.2. HIGH-LEVEL MODELING THEORY
3.2.1. Basic Rules of High-Level Modeling
3.2.2. The Factors of High-Level Modeling
3.2.2.1. Basic Factors
3.2.2.1.1. The Interface
3.2.2.1.2. State and Its Transition
3.2.2.1.3. Coupling
3.2.2.1.4. Interaction Situation
3.2.2.2. Element Model
3.2.2.3. Composition Model
3.2.3. Hierarchy and Self-Nested Feature of High-Level Model
3.2.3.1. Hierarchy Coupling of Simulation Component Models
3.2.3.2 Hierarchical States and their Transformation of Simulation Component Models
3.2.3.3. The Self-Closed Feature of Composition Component Model
3.2.4. The Static Structure and Dynamic Behavior
3.2.4.1. The View of Static Structure and Dynamic Behavior
3.2.4.2. The Matched Static Structure and Dynamic Behavior
3.3. COSIM MODELING PLATFORM
3.3.1. Graphic Primitives of the Static Structure Model
3.3.2. Graphic Primitives of the Dynamic Behavior Model
3.2.3. Component Model Interface Specification
3.4. APPLICATION: THE LANDING GEAR VIRTUAL PROTOTYPE
CONCLUSION
REFERENCES
Chapter 4COLLABORATIVE SIMULATION OFMULTI-DISCIPLINARY VIRTUAL PROTOTYPE
ABSTRACT
4.1. INTRODUCTION
4.1.1. Simulation for the Specific Professional Field
4.1.2. Collaborative Simulation of Homogeneous Models
4.1.3. Collaborative Simulation Based on Software Interface and Middleware
4.2. THE PRIMARY CONNOTATION OF COLLABORATIVESIMULATION OF MVP
4.2.1. Conception of Collaborative Simulation of MVP
4.2.2. Features of MVP Collaborative Simulation
4.2.3. The Integration and Interoperability of Heterogeneous Compositioncomponent
4.3. COLLABORATIVE SIMULATION OF MULTI-DISCIPLINARYVIRTUAL PROTOTYPE
4.3.1. Primary Coverage of Collaborative Simulation
4.3.1.1. Collaborative Execution of the Simulation Component
4.3.1.2. Principal Services of the Collaborative Simulation
Component management
Coupling management
Time Management
Behavior Management
Experiment management
4.3.1.3. Relationship of Principal Services of the Collaborative Simulation
4.3.2. Component Management
4.3.2.1. The Fundamental Principles of Component Management
4.3.2.2. The Services of Component Management
(1) Element component loading service
(2) Component information service
(3) Running control service
Running service
Stopping service
4.3.3. Coupling Management
4.3.3.1. The Fundamental Principle of Coupling Management
(1) The effective port-based coupling
(2) The hierarchy of coupling management
(3) Hierarchical management of static structure and dynamic information transmission
4.3.3.2. The Services of Coupling Management
(1) Management service of static connection relationship
(2) Inquiry service of interaction situation
(3) Information transmission service
4.3.4. Time Management
4.3.4.1. The Fundamental Principles of Time Management
(1) Basic concepts
(2) Unified time advancement of heterogeneous simulation components
(3) Hierarchical simulation time management mechanism
The next allowed time of the system
4.3.4.2. The Services of Time Management
(1) Time parameter configuration service
(2) The next time calculation command
(3) The next time reporting
(4) The next time calculating
(5) Time advance grant service
4.3.5. Behavior Management Service
4.3.5.1. The fundamental Principles of Behavior Management
4.3.5.2. Composition Component State Maintenance
4.3.5.3. Information Transmission Scheduling
4.3.5.4. Behavior Scheduling
4.3.5.5. The Services of Behavior Management
4.3.5.6. Maintaining the Component State
4.3.5.7. Information transmission
4.3.5.8. Component Scheduling
(1) Scheduling of Serial coupling
(2) Scheduling of branched structure
(3) Scheduling of the merged structure
(4) Scheduling of cyclic coupling
(5) Hierarchical scheduling
4.3.5.9. The Internal Functions of Behavior Management
4.3.6. Experiment Management
4.3.6.1. The Fundamental Principles of Experiment Management
4.3.6.2. The Services of Experiment Management
(1) Simulation experiment creation service
(2) Simulation experiment configuration service
(3) Simulation experiment control service
(4) Simulation component running control service
(5) Simulation experiment destruction service
4.4. MULTI-DISCIPLINARY COLLABORATIVE SIMULATION
4.4.1. Concept of Simulation Engine
4.4.2. The Execution of the Simulation Engine
4.4.3. The Service interfaces of the Simulation Engine
4.5. INTEGRATING COMMERCIAL OFF-THE-SHELF SIMULATIONSOFTWARE ON COSIM
4.5.1. Integration Methods of Simulation Software
4.5.1.1. Integration of Process-Based Discipline Simulation Software
4.5.1.2. Integration of Real-Time Interactive Software
4.5.1.3. Related Integration Examples
4.5.1.3.1. Integration Capability of MSC EASY5
4.5.3.1.2. Integration EASY5 Based on Document Exchange
4.5.1.3.3. Integration EASY5 Based on Second Development Interface
4.5.1.3.4. Indirect Integration of EASY5 through MATLAB
4.5.1.3.5. Analysis and Comparison of the Integration Approaches
4.5.2. Integration Process of Multi-Disciplinary Software on COSIM
4.5.2.1. The Necessary Functionality of Integration
4.5.2.2. Solving Engine Control and Schedule
4.5.2.3. Intermediate State Process
4.5.2.4. Input/Output Data Exchange
4.5.2.5. Interface Specification of the Adapter
4.5.2.6. The Architecture of the Adapter
4.6. COLLABORATIVE SIMULATION OFLANDING GEAR VIRTUAL PROTOTYPE
CONCLUSION
REFERENCES
Chapter 5OPTIMIZATION OF MULTI-DISCIPLINARYVIRTUAL PROTOTYPE
ABSTRACT
5.1. INTRODUCTION
5.1.1. Analysis of Multi-Disciplinary Virtual Prototype Optimization
5.1.2. Optimization Technology
(1) Approximate Method of Optimization
(2) Decomposition-Coordination Technique
(3) Sensitivity Analysis
(4) Optimization Algorithm
5.1.3. Related Research and Application
5.2. DEFINITION AND DESCRIPTION OF MULTI-DISCIPLINARYVIRTUAL PROTOTYPE OPTIMIZATION
5.2.1. Related Definition
5.2.2. Mathematical Description of Multi-Disciplinary Virtual PrototypeOptimization
5.2.3. Formal Description of Multi-Disciplinary Virtual PrototypeOptimization
5.3. OPTIMIZATION MODEL OF MULTI-DISCIPLINARYVIRTUAL PROTOTYPE
5.3.1. Single-Layer Optimization Model
5.3.1.1. Framework of Single-Layer Optimization
5.3.1.2. Description of Single-Layer Optimization Based on M2F
5.3.2. Multi-Layer Optimization Model
5.3.2.1. Framework of Multi-Layer Optimization
5.3.2.2. New Multi-Layer Optimization Frameworks of Multi-Disciplinary VirtualPrototype
5.3.2.3. Description of Multi-Layer Optimization Based on M2F
5.4. AN APPLICATION: THE OPTIMIZATION OF LANDING GEAR
CONCLUSION
REFERENCES
Chapter 6MULTI-DISCIPLINARY VIRTUALPROTOTYPE ENGINEERING
ABSTRACT
6.1. INTRODUCTION
6.1.1. Design Methodology of Multi-Disciplinary Virtual Prototype
6.1.2. The Design and Development Process
6.1.2.1. Step 1: Requirements Analysis
1. Activity 1.1: Defining the User Requirements
2. Activity 1.2: Defining the Design and Development Objective
6.1.2.2. Step 2: Development of CMMS
3. Activity 2.1: Scenario Deduction
4. Activity 2.2: Establishing the Conceptual Model
5. Activity 2.3: Task Decomposition
6.1.2.3. Step 3: Model Design
6.1.2.3.1. Sub-step 3.1: High-Level Modeling of the System
6. Activity 3.1.1: Define the System Components
7. Activity 3.1.2: Design the System Structure and Behavior
6.1.2.3.2. Sub-step 3.2: Design of Composition Component
8. Activity 3.2.1: Define the Composition Component
9. Activity 3.2.2: Design Structure and Behavior of the Composition Component
6.1.2.3.3. Sub-step 3.3: Design of Element Component
6.1.2.4. Step 4: Model Implementation
10. Activity 4.1: Implementation the Simulation Components
11. Activity 4.2: Make the Plan for System Integration
12. Activity 4.3: Make the Plan for System Testing
13. Activity 4.4: Set up the System Integration and Test Environment
6.1.2.5. Step 5: System Integration
14. Activity 5.1: System Model Integration
15. Activity 5.2: System Model Testing
6.1.2.6. Step 6: Execution of the Integrated System
16. Activity 6.1: Make Execution Plan of the Integrated System
17. Activity 6.2: Execute the Integrated System
6.1.2.7. Step 7: Simulation Experiment and Results Evaluation
18. Activity 7.1: Simulation Experiment
19. Activity 7.2: Analysis and Evaluation
6.2. VV&A OF MULTI-DISCIPLINARY VIRTUAL PROTOTYPE
6.2.1. Related Research of VV&A
6.2.2. Principles of VV&A
6.2.3. Process of VV&A
6.2.3.1. Phase 1: Verify the Requirements
20. Activity 1.1: Support the Developers Understanding the User Requirement
21. Activity 1.2: Make Plan of System Accreditation
22. Activity 1.3: Verify the Objectives of Design and Development
23. Activity 1.4: Collect the System Evaluation Reference Data
24. Activity 1.5: Define the System Acceptability Criteria
25. Activity 1.6: Support Risk Assessment and Cost Estimation
26. Activity 1.7: Draw Up V&V Plan
6.2.3.2. Phase 2: Verify the Conceptual Model
27. Activity 2.1: Assist the Scenario Deduction
28. Activity 2.2: Verify Conceptual Model
29. Activity 2.3: Verify the Design Specifications
6.2.3.3. Phase 3: Verify the Model Design
30. Activity 3.1: Verify the High-Level Modeling of the System
31. Activity 3.2: Verify the Design of Composition Component
32. Activity 3.3: Verify the Design of Element Component
6.2.3.4. Phase 4: Verify the Model Implementation
33. Activity 4.1: Verify Implementation of the Simulation Component
34. Activity 4.2: Support to Make System Integration Plan
35. Activity 4.3: Support to Make Testing Plan
36. Activity 4.4: Support to Construct the System Integration and TestingEnvironment
37. Activity 4.5: Verify and Validate Datasets
6.2.3.5. Phase 5: Validate the System Integration
38. Activity 5.1: Support Integration of MVP System
39. Activity 5.2: Verify the Integrated MVP System
40. Activity 5.3: Support MVP System Testing
41. Activity 5.4: Validate Output Data of System Testing
6.2.3.6. Phase 6: Validate the Execution of the Integrated MVP System
42. Activity 6.1: Support to Make the Execution Plan of the Integrated System
43. Activity 6.2: Validate the Execution of the Integrated System
6.2.3.7. Phase 7: Accredit the MVP System
44. Activity 7.1: Assist the Experiment on the MVP Simulation System
45. Activity 7.2: Assist in Analyzing and Evaluating the Simulation Result
46. Activity 7.3: Validate the Simulation Experiment Data
47. Activity 7.4: Accredit the System
48. Activity 7.5: Prepare the VV&A Products
6.3. CREDIBILITY OF MULTI-DISCIPLINARY VIRTUAL PROTOTYPE
6.4. MANAGEMENT METHODOLOGY OF MULTI-DISCIPLINARYVIRTUAL PROTOTYPE ENGINEERING
6.4.1. Virtual Prototype Engineering Management Pattern
6.4.2. Multi-Disciplinary Team/Organization Management
6.4.3. Process Management
6.4.3.1. Requirements Management
6.4.3.2. Project Planning Management
6.4.3.3. Project Tracking and Supervision Management
6.4.4. Product Management
6.4.5. Specification System of Multi-Disciplinary Virtual PrototypeEngineering
6.4.5.1. Specification of Description and Exchange of the Model
6.4.5.2. Data Access, Transfer, Control and Exchange Specifications
6.4.5.3. Specification of Resource Sharing and Integration
6.4.5.4. Collaborative Simulation Platform Specification
6.4.5.5. Management Standard of Virtual Prototype Engineering
6.5. APPLICATION OF VV&A FOR LANDING GEAR VIRTUALPROTOTYPE SYSTEM
6.5.1. STEP 1: Verify the Requirement
6.5.2. STEP 2: Verify the Conceptual Model
6.5.3. STEP 3: Verify the Design of the Landing Gear Virtual PrototypeSystem
6.5.4. STEP 4: Verify the Implementation of Landing Gear Virtual PrototypeSystem
6.5.5. STEP 5: Validate the Landing Gear Virtual Prototype SystemIntegration
6.5.6. STEP 6: Validate the Execution of Landing Gear Virtual PrototypeSystem
6.5.7. STEP 7: Accredit the Landing Gear Virtual Prototype System
CONCLUSION
REFERENCES
Chapter 7THE FUTURE OF MULTI-DISCIPLINARY VIRTUALPROTOTYPE MODELING AND SIMULATION
ABSTRACT
7.1. INTRODUCTION
7.2. THE FUTURE OF COSIM
7.2.1. The Coverage of the Meta-Modeling Framework M2F
7.2.2. Automatic Integration and Reuse of High-Level Model
7.2.3. Parallel Collaborative Simulation
7.2.4. Simulation Application Technology
7.3. FUTURE OF MULTI-DISCIPLINARY VIRTUAL PROTOTYPE
7.3.1. More Complex Products
Complex System Modeling and Simulation
Modeling and Simulation of Integrated Natural/Artificial Environment
7.3.2. More Advanced Infrastructure Environment
Cloud Simulation
High-Performance Simulation Technology of Complex System
7.3.3. More Comprehensive Application Requirement
Cloud Manufacturing
Simulation-Based Acquisition
CONCLUSION
REFERENCES
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