抄録
This paper presents the hybrid optimization algorithm to obtain an optimum clamping configuration of pin type fixture. Genetic and Particle Swarm Optimization (PSO) algorithms are utilized serially for determining the minimum workpiece deformation. Pin fixture with array arrangement in two opposite side supports the workpiece through clamping and friction force. Deformation and friction slip are predicted by simulation of pin-workpiece clamping model and analyzed by Finite Element methods. Maximum deformation and slip condition are evaluated by building the parametric script of the model. Parameters of the model is assigned by the algorithm through iteration process. Satisfies clamping arrangement to minimize the deformation and prevent the slip is evaluated using GAs to arrange the pin configuration. PSO is further applied based on the result of GAs for obtaining the best workpiece position. Result of the evaluation shown that the optimization using two algorithms could achieve the beter position and clamping configuration.
