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E-raamat: Integrated And Collaborative Product Development Environment: Technologies And Implementations

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(Univ Of Bath, Uk), (Nus, S'pore), (Nus, S'pore)
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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 realization processes. Topics such as concurrent and collaborative engineering, feature-based design and manufacturing, evolutionary computational techniques such as Tabu Search, Simulated Annealing, Genetic Algorithms features, intelligent and computer-aided process planning are important strategies and enabling technologies for developing an integrative environment, facilitating modern product design and development. This book covers the state-of-the-art research and development status of these strategies and technologies. Implementation strategies and case studies are provided with an emphasis on technical details to help readers understand the underlying algorithms and infrastructures.
Preface vii
Abbreviation xv
1. Introduction 1(26)
1.1 Concurrent and Collaborative Engineering
1(7)
1.2 Enabling Technologies
8(17)
1.2.1 Artificial intelligence
9(10)
1.2.1.1 Artificial neural network
9(5)
1.2.1.2 Heuristic optimisation techniques
14(5)
1.2.2 Internet technologies
19(15)
1.2.2.1 Client/server architecture
19(1)
1.2.2.2 Representations for documents and design models
20(2)
1.2.2.3 Distributed enterprise system integration paradigms
22(3)
1.3 Summary
25(2)
2. Manufacturing Feature Recognition Technology – State-of-the-Art 27(40)
2.1 Evolving Representations for Design Models
27(7)
2.2 Boundary Feature Recognition Scheme
34(17)
2.2.1 Rule-based approach
34(3)
2.2.2 Graph-based approach
37(5)
2.2.3 Hint-based approach
42(4)
2.2.4 Artificial neural networks-based approach
46(5)
2.3 Volumetric Feature Recognition Scheme
51(6)
2.3.1 Convex hull approach
51(2)
2.3.2 Volume growing/decomposition approach
53(4)
2.4 Integration of Design-by-Feature and Feature Recognition
57(4)
2.5 Summary
61(6)
3. A Hybrid Method for Interacting Manufacturing Feature Recognition 67(30)
3.1 Introduction
67(3)
3.2 Enhanced Attributed Adjacency Graph
70(3)
3.2.1 Pre-process for generating EAAG
70(2)
3.2.2 Establishment of EAAG
72(1)
3.3 Generation of Potential Features
73(9)
3.3.1 Identifications of F-Loops and their relationships
73(4)
3.3.2 Identifications of FLGs
77(5)
3.4 Neural Networks Classifier
82(5)
3.5 Computation Results
87(7)
3.5.1 Results for feature recognition
87(6)
3.5.2 Result comparisons
93(1)
3.6 Summary
94(3)
4. Integration of Design-by-Feature and Manufacturing Feature Recognition 97(46)
4.1 Introduction
98(1)
4.2 Features and Their Relationships
99(5)
4.2.1 Feature models
99(5)
4.2.2 Interacting relationships between features
104(1)
4.3 Manufacturing Feature Recognition Processor
104(26)
4.3.1 Recognition of initial manufacturing stock
112(1)
4.3.2 Recognition of DF when it is additive
112(11)
4.3.3 Recognition of DF when it is subtractive
123(2)
4.3.4 Recognition of auxiliary and replicate features
125(2)
4.3.5 Re-recognition of modified design model
127(3)
4.4 Multiple Manufacturing Feature Interpretations
130(9)
4.4.1 Properties of manufacturing feature tree
130(2)
4.4.2 Generation of multiple interpretations
132(4)
4.4.2.1 Combination
132(2)
4.4.2.2 Decomposition
134(1)
4.4.2.3 TAD-led operations
134(2)
4.4.3 Optimal single interpretation of manufacturing features
136(3)
4.5 Summary
139(4)
5. Intelligent Optimisation of Process Planning 143(54)
5.1 Intelligent Optimisation Strategies for CAPP Systems
143(10)
5.2 Knowledge Representation for Process Plans
153(9)
5.2.1 Process plan representation
153(2)
5.2.2 Machining cost criteria for process plans
155(3)
5.2.3 Precedence constraints
158(4)
5.3 A Hybrid GA/SA-based Optimisation Method
162(9)
5.3.1 Overview of the algorithm
162(3)
5.3.2 Genetic algorithm – phase 1
165(1)
5.3.3 Simulated annealing algorithm – phase 2
166(2)
5.3.4 Constraint handling algorithm
168(3)
5.4 Experimental Results
171(24)
5.4.1 Sample parts
171(9)
5.4.2 Computation results
180(12)
5.4.2.1 Determination of parameters
180(6)
5.4.2.2 Results under different conditions and criteria
186(1)
5.4.2.3 Comparisons with single GA and SA approaches
187(5)
5.4.3 Comparisons of constraint handling methods
192(1)
5.4.4 Algorithm implementation
192(3)
5.5 Summary
195(2)
6. Collaborative Computer-Aided Design – State-of-the-Art 197(50)
6.1 Introduction
197(9)
6.2 Visualisation-based Collaborative Systems
206(14)
6.2.1 3D representations for Web applications
207(6)
6.2.2 System architectures and implementation strategies
213(7)
6.3 Co-design Collaborative Systems
220(15)
6.3.1 System architectures
221(5)
6.3.2 Design coordination and team management
226(7)
6.3.3 Optimised feature and assembly-based representations
233(2)
6.4 Hierarchical Collaborative Systems
235(8)
6.4.1 Multi-representation and conversion schemes for features
235(1)
6.4.2 Integration mechanisms for distributed systems
236(7)
6.5 Summary
243(4)
7. Development of a Web-based Process Planning Optimisation System 247(34)
7.1 Introduction
247(5)
7.2 A Tabu Search-based Optimisation Method
252(14)
7.2.1 Methodology for process planning Optimisation
252(2)
7.2.2 Algorithm description
254(5)
7.2.3 Determination of parameters
259(3)
7.2.4 Comparison studies of TS, SA and GA
262(4)
7.3 Infrastructure Design of the Web-based System
266(5)
7.3.1 System architecture
266(4)
7.3.2 An XML-based representation for design models
270(1)
7.4 A Case Study
271(6)
7.5 Summary
277(4)
8. Distributed and Collaborative Design-by-Feature System 281(32)
8.1 Introduction
281(2)
8.2 Distributed Feature-based Representation and Manipulations
283(14)
8.2.1 System framework
283(1)
8.2.2 Distributed feature representations
284(2)
8.2.3 Feature manipulations
286(11)
8.3 Distributed and Collaboration Mechanisms
297(12)
8.3.1 Communication mechanism for distributed design
297(6)
8.3.2 Mechanism for collaborative design
303(2)
8.3.3 A case study
305(4)
8.4 Summary
309(4)
Bibliography 313(14)
Index 327


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