Machining fixture layout optimization using particle swarm optimization algorithm

Jianping Dou; Xingsong Wang; Lei Wang

doi:10.1117/12.885289

24 May 2011 Machining fixture layout optimization using particle swarm optimization algorithm

Jianping Dou, Xingsong Wang, Lei Wang

Proceedings Volume 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering; 79970S (2011) https://doi.org/10.1117/12.885289
Event: Fourth International Seminar on Modern Cutting and Measuring Engineering, 2010, Beijing, China

Abstract

Optimization of fixture layout (locator and clamp locations) is critical to reduce geometric error of the workpiece during machining process. In this paper, the application of particle swarm optimization (PSO) algorithm is presented to minimize the workpiece deformation in the machining region. A PSO based approach is developed to optimize fixture layout through integrating ANSYS parametric design language (APDL) of finite element analysis to compute the objective function for a given fixture layout. Particle library approach is used to decrease the total computation time. The computational experiment of 2D case shows that the numbers of function evaluations are decreased about 96%. Case study illustrates the effectiveness and efficiency of the PSO based optimization approach.

Citation Download Citation

Jianping Dou, Xingsong Wang, and Lei Wang "Machining fixture layout optimization using particle swarm optimization algorithm", Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79970S (24 May 2011); https://doi.org/10.1117/12.885289

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