Title: A new static accuracy design method for ultra-precision machine tool based on global optimisation and error sensitivity analysis

Authors: Guoda Chen; Yazhou Sun; Lihua Lu; Wanqun Chen

Addresses: Center for Precision Engineering, Harbin Institute of Technology, Harbin, 150001, China; Key Laboratory of E&M, Ministry of Education and Zhejiang Province, Zhejiang University of Technology, Hangzhou, 310032, China ' Center for Precision Engineering, Harbin Institute of Technology, Harbin, 150001, China ' Center for Precision Engineering, Harbin Institute of Technology, Harbin, 150001, China ' Center for Precision Engineering, Harbin Institute of Technology, Harbin, 150001, China

Abstract: Ultra-precision machine tool is indispensible in many cutting-edge manufacturing fields. Static accuracy design is the important content of its design, the main problem of which is the trade-off between the accuracy and cost. A new static accuracy design method based on global optimisation and error sensitivity analysis is proposed, which has good robustness, global optimality, high portability and less dependence on the engineering experience. This method transforms the problem of static error allocation of the machine tool to that of multi-objective optimisation with nonlinear constraints. The objective functions simultaneously consider the optimisation of cost, balance and robustness. Besides, the sensitivity analysis is used in the stages of optimisation and post-optimisation respectively, and the global optimisation algorithm is applied for the optimisation. A case study of five-axis ultra-precision machine tool is carried out to demonstrate the detailed process of this method. The results show the feasibility of the proposed method.

Keywords: ultra-precision machining; static accuracy design; error allocation; global optimisation; error sensitivity analysis; five-axis machine tools.

DOI: 10.1504/IJNM.2016.077062

International Journal of Nanomanufacturing, 2016 Vol.12 No.2, pp.167 - 180

Received: 06 Aug 2015
Accepted: 07 Dec 2015
Published online: 20 Jun 2016 *

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