Title: Modelling and compensation of machine geometric errors for the surface texturing process

Authors: Zhong Jiang; Naresh Kumar Maroju; Shaoke Wan; Xiaoliang Jin

Addresses: Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang, 621900, Sichuan Province, China; Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada ' Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada ' Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an, Shaanxi, 710054, China ' Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

Abstract: Bio-inspired surface textures have been widely used in various industries because of their unique functionality. The geometric accuracy of the texturing equipment and its effect on the texture geometry are essential for the functional performance of the textured surfaces. This paper presents a surface texture error model that predicts the surface texture topography considering the geometric errors of the machine tool. An error compensation method is proposed to improve the accuracy of the texture by considering the characteristics of the synchronised tool's linear motion and spindle rotation simultaneously. Micro ball-end mill surface texturing experiments are carried out to validate the developed geometric error compensation model considering machine tool geometric errors. The surface topographies before and after the error compensation are examined and compared. The results prove the effectiveness of the proposed error compensation method in enhancing the geometric accuracy of the texture topography.

Keywords: surface texture; micro milling; geometric error; error compensation; precision surfaces generation.

DOI: 10.1504/IJMMS.2022.127210

International Journal of Mechatronics and Manufacturing Systems, 2022 Vol.15 No.4, pp.286 - 309

Received: 20 Jun 2022
Accepted: 01 Sep 2022

Published online: 28 Nov 2022 *

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