Heng Ding, Yude Dong, Haoyu Gao, Hui Cheng, Zhongshu Yang, Yulei Liang

An Improved Simulated Annealing Algorithm in Dataset Domain for Optimizing Robust Workpiece Fixture Layout

  • Multidisciplinary
  • Modeling and Simulation
  • Numerical Analysis
  • Statistics and Probability
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AbstractThe robust layout of the fixture on the workpiece solves the problem of workpiece fixing well. Aiming at the problem of workpiece position error caused by fixture source error on workpiece surface, an improved simulated annealing algorithm based on dataset domain is adopted to reduce the workpiece position error caused by fixture locator deviation as much as possible. To find a better robust layout way, a point differentiation method is proposed to discretize continuous workpieces to obtain the dataset domain. Meanwhile, two objective functions considering curvature and non‐curvature are used to evaluate the placement scheme of locators. A point differentiation method is proposed to discretize continuous workpieces to obtain the dataset domains. Meanwhile, two objective functions considering curvature and non‐curvature are used to evaluate locator layout schemes. To improve the performance of the algorithm, an AHP‐based multi‐attribute decision‐making method is used to find a set of optimal parameters to configure the algorithm. The benchmark example and practical verification show that the locator obtained by the algorithm proposed is less discrete and denser, which solves the problem of fixture positioning very well, and the position error of the workpiece is effectively reduced.

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