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Study on the dynamic influence of the distribution of cutting depth on the ground surface quality in a precision grinding process

Chen, Y, Jiang, C, Chen, X, Huang, G and Hu, Z (2023) Study on the dynamic influence of the distribution of cutting depth on the ground surface quality in a precision grinding process. Journal of Manufacturing Processes, 107. pp. 134-143. ISSN 1526-6125

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Abstract

Focusing on the excitation mechanisms of self-excited vibration and forced vibration, a time-delay differential model of the radial cutting depth of a single active abrasive grit is presented. Based on the principle of the layered superposition characteristics of each component of radial cutting depth, a full discrete simulation technology is used to analyze the dynamic mechanisms of different vibration excitations on the grinding characteristics. The reliability of the dynamic mechanisms is verified by the corresponding grinding experiments. The verification results demonstrate that static and dynamic components in the grinding dynamics, including radial cutting depth, grinding force, surface roughness and surface morphology of workpiece are greatly influenced by total material removal rate, followed by speed ratio and grinding directions. With the increase of cutting depth, the variation amplitude of grinding process influenced by forced-vibration mechanism are nearly twice larger than those influenced by self-excited vibration mechanism. When speed ratio reduces to a half, surface roughness of workpiece improves by nearly 33 %. The stability of machining process and finish surface of workpiece during up-grinding are better than those during down-grinding, where force reduction by up to 10 % and surface finish improvement by 37 %.

Item Type: Article
Uncontrolled Keywords: 0910 Manufacturing Engineering; Industrial Engineering & Automation
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering
Publisher: Elsevier
SWORD Depositor: A Symplectic
Date Deposited: 13 Nov 2023 10:37
Last Modified: 13 Nov 2023 10:37
DOI or ID number: 10.1016/j.jmapro.2023.10.028
URI: https://researchonline.ljmu.ac.uk/id/eprint/21850
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