Title: Research on the evaluation method of surface roughness in CFRP grinding based on mobile computing

Authors: Penghua Xie; Ming Lv

Addresses: Shanxi Key Laboratory of Precision Machining, Taiyuan University of Technology, Taiyuan 030024, China ' Shanxi Key Laboratory of Precision Machining, Taiyuan University of Technology, Taiyuan 030024, China

Abstract: Mobile computing techniques have facilitated our life greatly with their convenience and practicability. As a new material, Carbon Fibre-Reinforced Plastic (CFRP) has excellent properties. Nevertheless, the anisotropy of CFRP causes difficulty in evaluation of the surface quality after machining. In order to take full advantage of computing image processing technology in a mobile computing environment, this paper proposes a novel method for the surface roughness evaluation based on micro-vision using texture features value extracted by Gabor transform. By analysing the relationship between texture features value and surface roughness three-dimensional evaluation parameter S_q, the paper comes to a conclusion that the surface roughness can be evaluated by the texture features value entropy value (H). The experiments show that the method is superior to the evaluation of surface roughness in CFRP grinding with slight difference, and the convenience of image processing is improved by using mobile equipment and wireless network.

Keywords: carbon fibre-reinforced plastic; surface roughness; Gabor transform; micro-vision; evaluation; mobile computing.

DOI: 10.1504/IJWMC.2019.102262

International Journal of Wireless and Mobile Computing, 2019 Vol.17 No.3, pp.230 - 244

Received: 17 Jan 2019
Accepted: 27 Apr 2019
Published online: 13 Sep 2019 *

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