Revival: Manufacturing Optimization Through Intelligent Techniques (2006)

ISBN-13: 9781138106093 / Angielski / Twarda / 2017 / 238 str.

Rajendran Saravanan

Opis

The book delineates five new techniques and all the manufacturing functions described have been successfully solved by Genetic Algorithm.

Spis treści

MANUFACTURING OPTIMIZATION THROUGH INTELLIEGENT TECHNIQUES

CONVENTIONAL OPTIMIZATION TECHNIQUES FOR MANUFACTURING APPLICATIONS
Brief Overview of Traditional Optimization
Single Variable Techniques Suitable for Solving Various Manufacturing Optimization Problems (Direct Search Method)
Multivariable Techniques Suitable for Solving Various Manufacturing Optimization Problems (Direct Search Methods)
Dynamic Programming Technique

INTELLIGENT OPTIMIZATION TECHNIQUES FOR MANUFACTURING OPTIMIZATION PROBLEMS
Genetic Algorithm (GA)
Simulated Annealing (SA)
Ant Colony Optimization (ACO)
Particle Swarm Optimization (PSO)
Tabu Search (TS)

OPTIMAL DESIGN OF MECHANICAL ELEMENTS
Introduction
Gear Design Optimization
Design Optimization of Three-Bar Structure
Spring Design Optimization
Design Optimization of Single-Point Cutting Tool

OPTIMIZATION OF MACHINING TOLERANCE ALLOCATION
Dimensions and Tolerances
Tolerance Allocation of Welded Assembly
Tolerance Design of Over Running Clutch Assembly
Tolerance Design Optimization of Stepped Clone Pulley
Tolerance Design Optimization of Stepped-Block Assembly

OPTIMIZATION OF OPERATING PARAMETERS FOR CNC MACHINE TOOLS
Optimization of Turning Process
Optimization of Multi-Pass Turning Process
Optimization of Face Milling Process
Surface Grinding Process Optimization
Optimization of Machining Parameters for Multi-Tool Milling Operations Using Tabu Search

INTEGRATED PRODUCT DEVELOPMENT AND OPTIMIZATION
Introduction
Integrated Product Development
Total Product Optimization - Design for Life Cycle Cost (DLCC)
Case Illustration
Proposed Methodology
GA Illustrated
Conclusion

SCHEDULING OPTIMIZATION
Classification of Scheduling Problems
Scheduling Algorithms
Parallel Machine Scheduling Using Genetic Algorithms
Implementation of Simulated Annealing Algorithm

MODERN MANUFACTURING APPLICATIONS
Implementation of Genetic Algorithm for Grouping of Part Families and Matching Cell
Selection of Robot Coordinate Systems Using Genetic Algorithm
Trajectory Planning for Robot Manipulators Using Genetic Algorithm
Application of Intelligent Techniques for Adaptive Control Optimization

CONCLUSIONS & FUTURE SCOPE

Index