Abstract
Abstract
This study evaluated the effects of cutting tool coating type and process parameters on flank wear and surface roughness in the turning of hardened 1.2343 hot work tool steel. Two different coated tungsten carbide cutting tools (CVD TiCN/Al2O3/TiN and PVD TiAlN/TiN), three different cutting speeds and three different feedrates were used for the experimental tests. Turning tests were designed based on the Taguchi method (L18). Experimental results demonstrated that the PVD TiAlN/TiN tool performed better under all cutting conditions. Analysis of variance results determined the feedrate, with an impact ratio of 82.61%, to be the parameter with the most impact on surface roughness, while flank wear was most affected by the cutting tool, with 89.12%.
Subject
Materials Chemistry,Surfaces, Coatings and Films,Process Chemistry and Technology,Instrumentation
Reference34 articles.
1. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks;Özel;Int. J. Mach. Tools Manuf,2005
2. Analyses of surface roughness by turning process using Taguchi method;Thamizhmanii;J. Ach. Mater. Manuf. Eng.,2007
3. Assessment of factors influencing surface roughness on the machining of glass –reinforced polymer composites;Palanikumar;Mater. Des.,2006
4. Tool wear modeling of hardened 42CrMo4 steel depending on cutting parameters and workpiece materıal hardness during turning process;Qehaja;Annals Faculty Eng. Huned,2017
5. Tribological and wear performance of carbide tools with TiB2 PVD coating under varying machining conditions of TiAl6V4 aerospace alloy;Paiva;Coatings,2017
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