文献类型：期刊文献

英文题名：A general approach for the machining quality evaluation of S-shaped specimen based on POS-SQP algorithm and Monte Carlo method

作者：Zhang, Ziling[1];Cheng, Qiang[2];Qi, Baobao[2];Tao, Zhiqiang[3]

第一作者：Zhang, Ziling

通讯作者：Cheng, Q[1]

机构：[1]Shanghai Maritime Univ, Logist Engn Coll, Shanghai 201306, Peoples R China;[2]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China;[3]Beijing Union Univ, Coll Robot, Beijing 100027, Peoples R China

第一机构：Shanghai Maritime Univ, Logist Engn Coll, Shanghai 201306, Peoples R China

通讯机构：[1]corresponding author), Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China.

年份：2021

卷号：60

起止页码：553-568

外文期刊名：JOURNAL OF MANUFACTURING SYSTEMS

收录：;EI(收录号：20213010670710);Scopus(收录号：2-s2.0-85110661005);WOS:【SCI-EXPANDED(收录号:WOS:000690869100001)】；

基金：The research was sponsored by the National Natural Science Foundation of China (grant no. 51905334, grant no. 51975012 and grant no.12002186), Shanghai Sailing Program (grant no.19YF1418600), Beijing Nova Programmer Interdisciplinary Cooperation Project (grant no. Z191100001119010), and the National Science and Technology Major Project (grant no. 2018ZX04033001-003).

语种：英文

外文关键词：Surface error modeling; Uncertainty analysis; Machining quality evaluation; S-shaped specimen; POS-SQP algorithm; Machine tools

摘要：In S-shaped specimens which are frequently used to reflect the machining ability of machine tools, the surface error refers to the distance between the points on the actual machining surface to their relevant points on the design surface. The proper measurement of this error is crucial for evaluating the machining quality of S-shaped specimens. During the process of error measurement, improper registration between the measurement coordinate system and the design coordinate system, as well as neglected uncertainty remain the main obstacles for the quality evaluation of S-shaped specimens. This study proposes a general method for the high-precision machining quality evaluation of S-shaped specimens that overcomes both problems. By applying the non-uniform rational Bspline (NURBS) surface molding technology, the surface of S-shaped specimen was reconstructed. Based on the minimum area principle and the particle swarm optimization-sequential quadratic programming (POS-SQP) algorithm, a surface error model of S-shaped specimen was developed. This model minimizes the maximum distance of the transacted measurement points to the design surface. It can be used to obtain the optimal registration matrix of the measurement coordinate system, with minimal surface error of S-shaped specimen. Additional common algorithms were also adopted to search the optimal registration matrix for comparison. Accounting for the random characteristics of basic parameters and the nonlinearity of surface error model, an uncertainty model of the surface error of S-shaped specimen was established based on the Monte Carlo method. This could obtain the actual tolerance zone of the surface error, according to which, the allowable tolerance zone of the surface error was optimized and a defined evaluation result of machining quality of S-shaped specimen was obtained. Then, a general approach for the evaluation of the machining quality of S-shaped specimen was developed based on POS-SQP algorithm and Monte Carlo method. This approach was implemented in a case study though a series of experiments. The experimental results identified the proposed approach as effective in improving the measurement quality and the evaluation of the machining quality of S-shaped specimens can thus be performed within an allowable tolerance zone.