Manufacturing Optimization through Intelligent Techniques (2006): 1st Edition (Hardback) book cover

Manufacturing Optimization through Intelligent Techniques (2006)

1st Edition

By Rajendran Saravanan

CRC Press

238 pages | 67 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781138106093
pub: 2017-09-28
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Description

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 Intelligent Techniques covers design of machine elements, integrated product development, machining tolerance allocation, selection of operating parameters for CNC machine tools, scheduling, part family formation, selection of robot coordinates, robot trajectory planning and both conventional and intelligent techniques, providing the tools to design and implement a suitable optimization technique. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program.

The book delineates five new techniques using examples taken from the literature for optimization problems in design, tolerance allocation; selection of machining parameters, integrated product development, scheduling, concurrent formation of machine groups and part families, selection of robot co-ordinates, robot trajectory planning and intelligent machining. All the manufacturing functions described have been successfully solved by Genetic Algorithm. Other intelligent techniques have been implemented only for solving certain types of problems: simulated annealing; design and scheduling, particle swarm optimization and ant colony optimization; tolerance allocation and tabu search; as well as machining parameters optimization.

After reading this book, you will understand the different types of manufacturing optimization problems as well as the conventional and intelligent techniques suitable for solving them. You will also be able to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing.

Table of Contents

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

About the Series

CRC Press Revivals

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COM051240
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TEC020000
TECHNOLOGY & ENGINEERING / Manufacturing
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control