Title: Coaxiality detection method with non-adjustment for installation errors
Authors: Jin Xin; Qiushuang Zhang; Ke Shang; Yimin Pu; Zhijing Zhang; Huan Guo
Addresses: Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China Haidian district, Beijing, China ' Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China Haidian district, Beijing, China ' Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China Haidian district, Beijing, China ' Beijing Institute of Power Machinery, Yungang West Road, Fengtai district, Beijing, China ' Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China ' Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
Abstract: During the assembly of the engine casing, the coaxiality detection for the two assemblies are essential. And the modern manufacturing industry has put forward higher requirements for the coaxiality measurement with the development of the industrial technology. The existing coaxiality detection methods are mostly based on manual measurements. It takes long time to adjust the axes of assembly parts and turntable to coincide by the current measurement method, which greatly affects production efficiency. To solve the problem, this paper proposes a coaxiality detection method which can compensate assembly installation errors automatically. The coaxiality measurement method based on the position of the assembly is deduced by introducing the measurement mechanism of the coordinate measuring machine. The data processing uses coordinate transformation and least squares fitting method. Experimental verification shows that the method does not need to adjust the assembly part repeatedly, so measuring time is reduced greatly. The methods simplify the measurement steps and provide supports of methods and techniques for automatic detect.
Keywords: installation errors; coaxiality; non-adjustment; automation; detection method.
International Journal of Nanomanufacturing, 2020 Vol.16 No.3, pp.273 - 286
Received: 04 Dec 2017
Accepted: 03 Jan 2019
Published online: 02 Jul 2020 *