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Optimization and measurement of flank wear and surface roughness via Taguchi based grey relational analysis
Materials and Manufacturing Processes ( IF 4.8 ) Pub Date : 2021-05-14 , DOI: 10.1080/10426914.2021.1926497
Hilmi Pekşen 1 , Ali Kalyon 2
Affiliation  

ABSTRACT

This study examined experimentally and statistically the machinability of AISI 430 stainless steel on a lathe using two type different coated tool inserts, three various cutting speeds (80, 140, 200 m/min) and three various feed rates (0.75, 1.5, 2.25 mm/rev). Experimental studies were carried out using a coolant and cutting depth of 1.5 mm was used constant under all experiment conditions. In the machinability tests, the impact of turning parameters and levels on Ra and the amount of wear on the cutting tool were examined. The impact of machinability parameters on VB and Ra were calculated using analysis of variance, which determined that feed rate was the most powerful machining parameter for the VB and Ra. Taguchi-based gray relational analysis was performed to find out the ideal machining orders for Ra and VB. According GRA, the percentage of improvement in the gray relational degree was calculated as 69.1%. As a result of this work, multiple performance outputs (surface roughness-flank wear) were improved considerably in machining of difficult-to-machine AISI 430 stainless steel.



中文翻译:

基于田口的灰色关联分析优化和测量后刀面磨损和表面粗糙度

摘要

本研究使用两种不同的涂层刀具刀片、三种不同的切削速度(80、140、200 m/min)和三种不同的进给率(0.75、1.5、2.25 mm /转)。使用冷却液进行实验研究,并且在所有实验条件下均使用 1.5 毫米的切削深度。在可加工性测试中,研究了车削参数和水平对 Ra 和刀具磨损量的影响。使用方差分析计算可加工性参数对 VB 和 Ra 的影响,这确定进给速率是 VB 和 Ra 最强大的加工参数。进行基于田口的灰色关联分析,以找出 Ra 和 VB 的理想加工顺序。根据 GRA,灰色关联度的改善百分比计算为69.1%。作为这项工作的结果,在加工难加工的 AISI 430 不锈钢时,多项性能输出(表面粗糙度 - 后刀面磨损)得到了显着改善。

更新日期:2021-05-14
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