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FRACTAL-BASED ANALYSIS OF THE RELATION BETWEEN THE FRACTAL STRUCTURES OF MACHINED SURFACE AND TOOL WEAR IN TURNING OPERATION

CHAI LIP KIEW

Department of Mechanical Engineering, School of Engineering, Monash University, Selangor, Malaysia

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AKSHAYEN BRAHMANANDA

Department of Mechanical Engineering, School of Engineering, Monash University, Selangor, Malaysia

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KH TAUHID ISLAM

Department of Mechanical Engineering, School of Engineering, Monash University, Selangor, Malaysia

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HAO NAM LEE

Department of Mechanical Engineering, School of Engineering, Monash University, Selangor, Malaysia

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SAMUEL ANTHONY VENIER

Faculty of Engineering, Monash University, Wellington Rd, Clayton VIC 3800, Australia

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ASHIR SARAAR

Department of Mechanical Engineering, School of Engineering, Monash University, Selangor, Malaysia

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, and

HAMIDREZA NAMAZI

http://orcid.org/0000-0001-7178-455X

Department of Mechanical Engineering, School of Engineering, Monash University, Selangor, Malaysia

E-mail Address: hrn_mechanic@yahoo.com

Corresponding author.

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https://doi.org/10.1142/S0218348X19500944Cited by:15 (Source: Crossref)

Abstract

Obtaining the optimum surface finish is one of the key factors in machining operations. For this purpose, engineers apply a set of machining parameters to obtain the desired surface quality. On the other hand, tool faces wear during machining operation that itself affects the surface quality of machined surface. Therefore, tool wear and surface finish of machined workpiece should be related to each other. In this research, we employ fractal analysis in order to investigate the correlation between variations of complex structure of machined surface and tool wear in turning operation. In fact, we changed the machining parameters between different experiments and investigated how the machined surface is correlated with the tool wear. Based on the obtained results, we can see the correlation between the complexity of machined surface and tool wear by increasing the depth of cut, spindle speed and feed rate in different experiments. The method of analysis employed in this research can be widely applied to other machining operations in order to find the correlation between the surface quality of machined surface and tool wear.

Keywords:

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