Evaluation of Sphericity Error Using Differential Evolution Method

Abstract:

The mathematical model of sphericity error under the condition of minimum zone is derived. An algorithm based on the differential evolution (DE) is proposed to evaluate the sphericity error. Its principle and realization approach are discussed to solve the minimum zone sphericity error. The proposed method was verified by an example. Compared with other methods, the results show that the proposed method makes the sphericity error evaluation more accurate.

• Periodical: Applied Mechanics and Materials (Volumes 423-426)
• Pages: 2132-2135
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.423-426.2132
• Online since: September 2013
• Authors: Yue Ping Chen, Long Jin, Shu Ping Li, Shi Liu Song, Yan Liang
• Keywords: Differential Evolution Method, Least-Square Method (LSM), Minimum Zone Method, Sphericity Error

References

[1] C. Cui, R. Che, D. Ye and Q. Huang: Optics and Precision Engineering Vol. 10(2002), p.333.

[2] X. Wen and A. Song: International Journal of Machine Tools & Manufacture Vol. 44(2004), p.1077.

[3] F. Liu and X. Peng: Journal of Mechanical Engineering Vol. 45(2009), p.243.

[4] T. Kanada: Precision Engineering Vol. 17(1995), p.281.

[5] X. Wang, H. Long and X. Su: 2010 International Conference on Measuring Technology and Mechatronics Automation, (2010), p.643.

[6] K. Fan and J. Lee: Precision Engineering Vol. 23(1999), p.65.