Optimization of Machining Variables of Inconel 800 Alloy in CNC Face Milling Using TiAlN and TiAlN-TiN Coated Inserts

Vinod Kumar, N. Bala
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Abstract

This research work is based on the machinability of an Inconel 800 alloy using TiAlN-coating and TiAlN-TiN-coating tools. In the CNC VMC Face milling process feed, depth of cut (DoC), and cutting speed consider input variables and surface roughness, Tool wear is measured for all machining conditions. To enhance the machining conditions a Taguchi L9 Design of Experiment was created. ANOVA analysis was used to identify the important variables influencing Flank wear (tool wear) and surface roughness. The signal-to-noise ratio for the ideal cutting combination was identified by evaluating the optimum surface roughness and tool wear. for the effect of coating, a comparison was done between the findings obtained using both TiAlN-coated and TiAlN-TiN tungsten carbide-coated tools. The best optimum surface roughness and tool wear of the experiment conducted under machining with TiAlN-TiN coated carbide tool resulted in .3433 µm and 128 µm respectively.
TiAlN及TiAlN- tin涂层刀片数控铣削Inconel 800合金加工参数优化
本研究工作是基于使用tialn涂层和tialn - tin涂层刀具对一种因科乃尔800合金的可加工性进行研究。在数控VMC面铣削加工过程中,进给量、切削深度(DoC)和切削速度考虑输入变量和表面粗糙度,刀具磨损是在所有加工条件下测量的。为改善加工条件,建立了田口L9试验设计。方差分析用于确定影响侧面磨损(刀具磨损)和表面粗糙度的重要变量。通过评估最佳表面粗糙度和刀具磨损,确定了理想切削组合的信噪比。对于涂层的效果,比较了tialn涂层和TiAlN-TiN碳化钨涂层刀具的结果。在TiAlN-TiN涂层硬质合金刀具加工下,表面粗糙度和刀具磨损的最佳值分别为0.3433µm和128µm。
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