Analysis of the correlation between fractal structure of cutting force signal and surface roughness of machined workpiece in end milling operation

Citation

Chang, Teck Seng and Namazi, Hamidreza and Thasthakeer, Ahmad Tuffail and Farid, Ali Akhavan (2019) Analysis of the correlation between fractal structure of cutting force signal and surface roughness of machined workpiece in end milling operation. Fractals, 27 (2). ISSN 0218-348X

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Abstract

Analysis of the machined surface is one of the major issues in machining operations. On the other hand, investigating about the variations of cutting forces in machining operation has great importance. Since variations of cutting forces affect the surface quality of machined workpiece, therefore, analysis of the correlation between cutting forces and surface roughness of machined workpiece is very important. In this paper, we employ fractal analysis in order to investigate about the complex structure of cutting forces and relate them to the surface quality of machined workpiece. The experiments have been conducted in different conditions that were selected based on cutting depths, type of cutting tool (serrated versus. square end mills) and machining conditions (wet and dry machining). The result of analysis showed that among all comparisons, we could only see the correlation between complex structure of cutting force and the surface roughness of machined workpiece in case of using serrated end mill in wet machining condition. The employed methodology in this research can be widely applied to other types of machining operations to analyze the effect of variations of different parameters on variability of cutting forces and surface roughness of machined workpiece and then investigate about their correlation.

Item Type: Article
Uncontrolled Keywords: Machined Surface, Cutting Forces, Surface Roughness, Fractal Analysis, Complex Structure
Subjects: T Technology > TJ Mechanical Engineering and Machinery > TJ1125-1345 Machine shops and machine shop practice
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 15 Feb 2022 03:24
Last Modified: 15 Feb 2022 03:24
URII: http://shdl.mmu.edu.my/id/eprint/9148

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