1st Edition
Manufacturing Optimization through Intelligent Techniques (2006)
By Rajendran Saravanan
Copyright 2006
238 Pages
67 B/W Illustrations
by
CRC Press
Effective utilization of equipment is critical to any manufacturing operation, especially with today's sophisticated, high-cost equipment and increased global competition. To meet these challenges in the manufacturing industry, you must understand and implement the myriad conventional and intelligent techniques for different types of manufacturing problems. Manufacturing Optimization Through... Read more
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
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
Biography
Dr. R. Saravanan earned a B.E. in mechanical and production engineering in 1985 and an M.E. in production engineering in 1992 from Annamalai University, Chidambaram, India; and in 2001, a Ph.D. in computer-aided manufacturing from the National Institute of Technology (REC), Tiruchirapalli, India.
