Integrated and collaborative product development environment : technologies and implementations /
With the rapid advances in computing and Internet technologies, an integrated and collaborative environment, which is based on the complementary functions of concurrent engineering and Internet-based collaborative engineering, is imperative for companies to facilitate and expedite the product realiz...
| Основен автор: | Li, W. D. |
|---|---|
| Други автори: | Nee, A. Y. C. 1948-, Ong, S. K., 1969- |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Singapore ; Hackensack, NJ :
World Scientific,
℗♭2006.
|
| Серия: |
Series on manufacturing systems and technology ;
v. 2. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=210703 |
| Подобни документи: |
Print version::
Integrated and collaborative product development environment. |
Съдържание:
- Preface; Contents; Abbreviation; 1. Introduction; 1.1 Concurrent and Collaborative Engineering; 1.2 Enabling Technologies; 1.2.1 Artificial intelligence; 1.2.2 Internet technologies; 1.3 Summary; 2. Manufacturing Feature Recognition Technology
- State-of-the-Art; 2.1 Evolving Representations for Design Models; 2.2 Boundary Feature Recognition Scheme; 2.2.1 Rule-based approach; 2.2.2 Graph-based approach; 2.2.3 Hint-based approach; 2.2.4 Artificial neural networks-based approach; 2.3 Volumetric Feature Recognition Scheme; 2.3.1 Convex hull approach; 2.3.2 Volume growing/decomposition approach.
- 2.4 Integration of Design-by-Feature and Feature Recognition2.5 Summary; 3. A Hybrid Method for Interacting Manufacturing Feature Recognition; 3.1 Introduction; 3.2 Enhanced Attributed Adjacency Graph; 3.2.1 Pre-process for generating EAAG; 3.2.2 Establishment of EAAG; 3.3 Generation of Potential Features; 3.3.1 Identifications of F-Loops and their relationships; 3.3.2 Identifications of FLGs; 3.4 Neural Networks Classifier; 3.5 Computation Results; 3.5.1 Results for feature recognition; 3.5.2 Result comparisons; 3.6 Summary.
- 4. Integration of Design-by-Feature and Manufacturing Feature Recognition4.1 Introduction; 4.2 Features and Their Relationships; 4.2.1 Feature models; 4.2.2 Interacting relationships between features; 4.3 Manufacturing Features Recognition Processor; 4.3.1 Recognition of initial manufacturing stock; 4.3.2 Recognition of DF when it is additive; 4.3.3 Recognition of DF when it is subtractive; 4.3.4 Recognition of auxiliary and replicate features; 4.3.5 Re-recognition of modified design model; 4.4 Multiple Manufacturing Feature Interpretations; 4.4.1 Properties of manufacturing feature tree.
- 4.4.2 Generation of multiple interpretations4.4.3 Optimal single interpretation of manufacturing features; 4.5 Summary; 5. Intelligent Optimisation of Process Planning; 5.1 Intelligent Optimisation Strategies for CAPP Systems; 5.2 Knowledge Representation of Process Plans; 5.2.1 Process plan representation; 5.2.2 Machining cost criteria for process plans; 5.2.3 Precedence constraints; 5.3 A Hybrid GA/SA-based Optimisation Method; 5.3.1 Overview of the algorithm; 5.3.2 Genetic algorithm
- phase 1; 5.3.3 Simulated annealing algorithm
- phase 2; 5.3.4 Constraint handling algorithm.
- 5.4 Experimental Results5.4.1 Sample parts; 5.4.2 Computation results; 5.4.3 Comparisons of constraint handling methods; 5.4.4 Algorithm implementation; 5.5 Summary; 6. Collaborative Computer-Aided Design
- State-of-the-Art; 6.1 Introduction; 6.2 Visualisation-based Collaborative Systems; 6.2.1 3D representations for Web applications; 6.2.2 System architectures and implementation strategies; 6.3 Co-design Collaborative Systems; 6.3.1 System architectures; 6.3.2 Design coordination and team management; 6.3.3 Optimised feature and assembly-based representations.