Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/8309
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dc.contributor.authorBadiger, P.V.
dc.contributor.authorDesai, V.
dc.contributor.authorRamesh, M.R.
dc.contributor.authorVinyas, M.
dc.contributor.authorSanthosh, C.M.
dc.contributor.authorPrajwala, B.K.
dc.contributor.authorRaveendra, L.
dc.date.accessioned2020-03-30T10:18:23Z-
dc.date.available2020-03-30T10:18:23Z-
dc.date.issued2020
dc.identifier.citationAIP Conference Proceedings, 2020, Vol.2204, , pp.-en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8309-
dc.description.abstractTungsten carbide tool places in are coated by customized composition of Ti/TiCN/TiN/TiCN/TiN for multilayer and monolayer TiC-C using PVD assisted CAE technique. Quality physiognomies of coatings are evaluated using VDI3198 and Calo tests. Thickness of the coatings for Ti-multilayer and monolayer are found to be 1.837 and 1.198 ?m respectively and adhesion quality of HF1 attained. Highly alloyed steel MDN431 is used as machining material to evaluate the performance of coatings. The coated tool insert performance has been evaluated at the machining parameters cutting speed in the range of 59-118 m/min, feed rate is 0.062-0.125 mm/rev and depth of cut is ap 0.2-0.4 mm during machining of MDN431 steel. Experiments are conducted based on L27 full factorial design. Cutting forces and surface roughness are analysed using regression analysis. Desirability approach as well as PSO technique is used to optimize the process parameters. Least cutting force and surface roughness are obtained at the condition of Vc-118 m/min, f-0.063 mm/rev, ap-0.2 mm and Vc-59 m/min, f-0.63 mm/rev, ap - 0.2 mm for Ti-multilayer and TiC-C coatings respectively. To augment the capability of predictive regression models and coefficients of determination (COD), ANN modelling has been adopted. Cutting forces and surface roughness are predicted using ANN and mathematical regression models, predicted data follows the experimental data with minimum absolute error. Tool wear was reduced by 65.7% in Ti-multilayer and TiC-C coated tools compared to uncoated tool. � 2020 Author(s).en_US
dc.titleInfluence of Ti coated tools on process parameters in turning process of MDN431en_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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