Manufacturing Optimization through Intelligent TechniquesEffective 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. |
Contents
Manufacturing Optimization through | 5 |
References | 15 |
Intelligent Optimization Techniques for Manufacturing | 17 |
References | 44 |
Optimization of Machining Tolerance Allocation | 81 |
Other editions - View all
Manufacturing Optimization through Intelligent Techniques (2006) Rajendran Saravanan Limited preview - 2017 |
Manufacturing Optimization Through Intelligent Techniques (2006) Rajendran Saravanan No preview available - 2017 |
Common terms and phrases
adaptive control angle ant colony optimization ants applied assembly tolerance C₁ calculated chromosomes component tolerances computational constraints critical components crossover crossover operator cutting speed cutting tool decision problems depth of cut design equation DESIGN OPTIMIZATION deviation dynamic programming Engineering error Evaluation expected value feed rate fitness function function value gear genetic algorithm given in Table go to Step grinding IMPLEMENTATION individual initial intelligent techniques loss function m/min machine tool manufacturing cost manufacturing optimization problems mating pool maximum minimize minimum number of iterations objective function obtained optimal design optimization techniques optimum overrunning clutch particle swarm optimization performed pheromone population procedure random number reliability robot coordinates robot manipulator search method search space secē Selection of robot shown in Figure simplex simulated annealing Solution history solving specific strings surface finish T₂ Tabu search temperature tolerance allocation Total variables velocity wheel workpiece X₁