Optimization Design of Pedicle Screw

Finite Element Analyses, Artificial Neural Network, Analysis of Variance, and Genetic Algorithms have been widely used to solve engineering problems. Each method has its own particular feature that is proven to be effective. Commercially available spinal pedicle screw which is a medical implant mostly used during spinal fusion surgery found to be not strong enough to hold a bending loading and a pullout loading at the same time. This book shows strategy to optimize the design of the screw by combining the earlier mentioned methods to solve the multiobjective problem. University students, professors, medical implants manufacturers, or any people who are interested in learning optimization design for any mechanical product would be recommended to read this book.

Autorentext

Sandy T. Putra, M.Sc.Eng: studied Mechanical Engineering at NTUST. Piping Stress Engineer at CTCI Corp. Taiwan. Ching-Kong Chao, Phd.: studied Mechanical Engineering at Lehigh University, USA. Chair Professor at NTUST, Taiwan. Jin-Lin, M.D.: studied Medical at National Taiwan University. Professor and Orthopedic Surgeon at NTUH, Taiwan.