Title: Evaluation of planar inclination error measurement uncertainty

Authors: Ke Zhang; Guo Cheng; Siyuan Liu

Addresses: School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai City, China ' School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai City, China ' School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai City, China

Abstract: In order to realise the uncertainty evaluation of the inclination error, error evaluation method and uncertainty of the inclination were investigated based on the Coordinate Measuring Machine (CMM). First, measured line and datum line were measured. Then, the inclination error was evaluated according to an improved Particle Swarm Optimisation (IPSO) algorithm. Finally, based on the results of the inclination error, the uncertainty was evaluated by applying the GUM method (GUMM) and Monte Carlo method (MCM). The results show the IPSO optimisation algorithm and MCM does provide better accuracy and efficiency on inclination errors and uncertainty evaluation.

Keywords: inclination error; uncertainty analysis; IPSO algorithm; GUMM; MCM; Monte Carlo method.

DOI: 10.1504/IJWMC.2020.109263

International Journal of Wireless and Mobile Computing, 2020 Vol.19 No.1, pp.48 - 54

Received: 30 Jan 2020
Accepted: 17 Mar 2020
Published online: 02 Sep 2020 *

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