A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method

2006 ◽  
Vol 42 (4) ◽  
pp. 1119-1122 ◽  
Author(s):  
C.T.M. Choi ◽  
Sih-Sian Lee
Keyword(s):  
Genetic Algorithm ◽  
Finite Element Method ◽  
Finite Element ◽  
Computational Neuroscience ◽  
Electrode Design ◽  
Design Scheme ◽  
Flat Interface ◽  
Neuroscience Method ◽  
Flat Interface Nerve Electrode ◽  
Element Method

Optimization Research on Workpiece Clamping Deformation Using Genetic Algorithm and Finite Element Method

2011 ◽  
Vol 189-193 ◽  
pp. 2153-2160
Author(s):  
Yu Wen Sun ◽  
Chuan Tai Zhang ◽  
Qiang Guo
Keyword(s):  
Genetic Algorithm ◽  
Finite Element Method ◽  
Finite Element ◽  
Machining Accuracy ◽  
Clamping Force ◽  
The Finite Element Method ◽  
Linear Programming Method ◽  
Fixture Layout ◽  
The Stability ◽  
Element Method

Optimal fixture involves fixture layout and clamping force determination. It is critical to ensure the machining accuracy of workpiece. In this paper, the clamping process is analyzed with the consideration of cutting forces and frictions using the finite element method. Then the fixture layout and clamping force are optimized by minimizing the workpiece deformation via a Genetic Algorithm (GA). Subsequently, linear programming method is used to estimate the stability of workpiece. It is shown through an example that the proposed method is proved to be efficient. The optimization result is not only far superior to the experiential one, but also the total optimization time can be reduced significantly.

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