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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 189-193)
• Pages: 2153-2160
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.189-193.2153
• Online since: February 2011
• Authors: Yu Wen Sun, Chuan Tai Zhang, Qiang Guo
• Keywords: Clamping Force, Fixture Layout, Genetic Algorithm (GA), Linear Programming

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