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Cylindricity error evaluation based on genetic algorithms

BEI Guang-xia, LOU Pei-huang, WANG Xiao-yong, ZHU Heng-yun, DU Hui   

  1. College of Mechanical and Electrical Engineering，Nanjing University of Aeronautics and Astronautics， Nanjing 210016， China
  • Received:2007-06-06 Revised:1900-01-01 Online:2008-04-16 Published:2008-04-16
  • Contact: BEI Guang-xia

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Abstract: An objective function was proposed to evaluate the minimum zone cylindricity error. The error model was optimized by genetic algorithm(GA). The mathematical model can work out the minimum zone solution of the cylindricity error with arbitrary position in space, and there are no special requirements in choosing measurement points. A test was given to prove that the optimal approximation solution to the cylinder axis's vectors and minimum zone cylindricity can be worked out by the objective function. The approach can also be extended to solve  other form and position errors when a cylinder axis is used as datum.

Key words: minimum zone, genetic algorithm , cylindricity error evaluation

CLC Number: 

  • TB92
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