Literature DB >> 32640567

Investigations on Surface Roughness and Tool Wear Characteristics in Micro-Turning of Ti-6Al-4V Alloy.

Kubilay Aslantas1, Mohd Danish2, Ahmet Hasçelik3, Mozammel Mia4, Munish Gupta5, Turnad Ginta6, Hassan Ijaz2.   

Abstract

Micro-turning is a micro-mechanical cutting method used to produce small diameter cylindrical parts. Since the diameter of the part is usually small, it may be a little difficult to improve the surface quality by a second operation, such as grinding. Therefore, it is important to obtain the good surface finish in micro turning process using the ideal cutting parameters. Here, the multi-objective optimization of micro-turning process parameters such as cutting speed, feed rate and depth of cut were performed by response surface method (RSM). Two important machining indices, such as surface roughness and material removal rate, were simultaneously optimized in the micro-turning of a Ti6Al4V alloy. Further, the scanning electron microscope (SEM) analysis was done on the cutting tools. The overall results depict that the feed rate is the prominent factor that significantly affects the responses in micro-turning operation. Moreover, the SEM results confirmed that abrasion and crater wear mechanism were observed during the micro-turning of a Ti6Al4V alloy.

Entities:  

Keywords:  RSM; Ti6Al4V alloy; material removal rate; micro turning; surface roughness; tool wear

Year:  2020        PMID: 32640567     DOI: 10.3390/ma13132998

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  2 in total

1.  3D Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes.

Authors:  Grzegorz Królczyk; Wojciech Kacalak; Michał Wieczorowski
Journal:  Materials (Basel)       Date:  2021-04-15       Impact factor: 3.623

2.  Tribological Properties and 3D Topographic Parameters of Hard Turned and Ground Surfaces.

Authors:  Viktor Molnar
Journal:  Materials (Basel)       Date:  2022-03-29       Impact factor: 3.623

  2 in total

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