Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented.
Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems.
As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. List of contributors - p. ix 6. About the editor - p. xi 7. Preface - p. xiii 8. 1: Parallel direct solver for finite element modeling of manufacturing processes - p. xiii 9. 2: Optimal inspection/actuator placement for robust dimensional compensation in multistage manufacturing processes - p. 30 10. 3: Numerical optimization strategies for springback compensation in sheet metal forming - p. 50 11. 4: Finite element modeling of hot rolling: Steady- and unsteady-state analyses - p. 82 12. 5: Numerical modeling methodologies for friction stir welding process - p. 124 13. 6: Modeling of hard machining - p. 169 14. 7: Multiresponse optimization in wire electric discharge machining (WEDM) of HCHCr steel by integrating response surface methodology (RSM) with differential evolution (DE) - p. 198 15. Index - p. 223
Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented.
Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems.
As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. List of contributors - p. ix 6. About the editor - p. xi 7. Preface - p. xiii 8. 1: Parallel direct solver for finite element modeling of manufacturing processes - p. xiii 9. 2: Optimal inspection/actuator placement for robust dimensional compensation in multistage manufacturing processes - p. 30 10. 3: Numerical optimization strategies for springback compensation in sheet metal forming - p. 50 11. 4: Finite element modeling of hot rolling: Steady- and unsteady-state analyses - p. 82 12. 5: Numerical modeling methodologies for friction stir welding process - p. 124 13. 6: Modeling of hard machining - p. 169 14. 7: Multiresponse optimization in wire electric discharge machining (WEDM) of HCHCr steel by integrating response surface methodology (RSM) with differential evolution (DE) - p. 198 15. Index - p. 223
