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International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)

Xie Yi
Xie Yi
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According to the analysis of existent evaluation methods for cylindricity errors, an intelligent evaluation method is provided. The evolutional optimum model and the calculation process are introduced in detail. Based on the characteristics of cylindricity error evaluation, Particle Swarm Optimization (PSO) is proposed to evaluate the minimum zone error. Compared with conventional optimum methods, it can find the global optimal solution, and the precision of calculating result is very good. Then, the objective function calculation approaches for using the PSO to evaluate minimum zone error are formulated. Finally, the control experiment results evaluated by using different methods indicate that the proposed method does provide better accuracy on cylindricity error evaluation and it has fast convergent speed. The evaluation method can also be extended to other form errors.

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