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    Title Page
    Copyright Page
    Editorial Advisory Board
    List of Reviewers
    Preface
    Acknowledgment
    Chapter 1: Application of Soft-Computing Methods in Cellular Manufacturing
    Chapter 2: Multi-Objective Optimization of Manufacturing Processes Using Evolutionary Algorithms
    Chapter 3: Self Control and Server-Supervisory Control for Multiple Mobile Robots, and its Applicability to Intelligent DNC System
    Chapter 4: Online Machining Optimization with Continuous Learning
    Chapter 5: Computational Techniques in Statistical Analysis and Exploitation of CNC Machining Experimental Data
    Chapter 6: Application of Particle Swarm Optimization for Achieving Desired Surface Roughness in Tungsten-Copper Alloy Machining
    Chapter 7: Models and Optimization Techniques of Machining Parameters in Turning Operations
    Chapter 8: Simulation of Grinding by Means of the Finite Element Method and Artificial Neural Networks
    Chapter 9: Application of Taguchi Method with Grey Fuzzy Logic for the Optimization of Machining Parameters in Machining Composites
    Chapter 10: Taguchi, Fuzzy Logic and Grey Relational Analysis Based Optimization of ECSM Process during Micro Machining of E-Glass-Fibre-Epoxy Composite
    Chapter 11: Modeling and Optimization of Abrasive Water Jet Cutting of Kevlar Fiber-Reinforced Polymer Composites
    Chapter 12: Developments in Finite Element Technology and Optimization Formulations for Sheet Metal Forming
    Chapter 13: Joining Sheets to Tubular Profiles by Tube Forming
    Chapter 14: Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process
    Chapter 15: A Tutorial to Developing Statistical Models for Predicting Disqualification Probability
    Compilation of References
    About the Contributors
    Index
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    Title Page - Pg. i

    Computational Methods for Optimizing Manufacturing Technology: Models and Techniques J. Paulo Davim University of Aveiro, Portugal