Analysis of hard turning process: thermal aspects

Bhemuni, Varaprasad; Chalamalasetti, Srinivasa Rao; Konchada, Pavan Kumar; Pragada, Venkata Vinay

doi:10.1007/s40436-015-0124-3

Cited by 9 publications

(2 citation statements)

References 19 publications

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“…These values are graphically represented (Figs. [6][7][8]. From these graphs and Table 7, one can see that optimal cutting conditions are easily determined to minimize the first two BAC parameters and maximize the last one.…”

Section: Mono-objective Optimization Using S/n Ratiomentioning

confidence: 95%

“…Its environmental hazard is due to the coolants used during the machining of precision mechanical parts [4,5]. Hard turning offers the advantages of reduced costs, reduced production time, improved product quality and achieve close tolerances in terms of surface finish [6]. Hard turning of steel parts with a hardness greater than 60 HRC with mixed ceramic cutting tools and PCBN is one of the most interesting processes for precise finishing [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Archive of Mechanical Engineering

Hamdi

Merghache

Aliouane

2020

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Hard turning is a machining process that is widely used in the precision mechanical industry. The characterization of the functional surface texture by the ISO 13565 standard holds a key role in automotive mechanics. Until now, the impact of cutting conditions during hard turning operation on the bearing area curve parameters has not been studied (ISO 13565). The three parameters R pk , R k and R vk illustrate the ability of the surface texture to resist friction. In this work, the main objective is to study the impact of cutting conditions (Vc, f and ap) of the hard turning on three parameters of the bearing area curve. The statistical study based on response surface methodology (RSM), analysis of variance (ANOVA) and quadratic regression were performed to model the three output parameters and optimize the input parameters. The experimental design used in this study is the Taguchi L 25 orthogonal array. The results obtained show that the cutting speed has a greater effect on the bearing ratio curve (R pk , R k and R vk ) parameters with a percentage contribution of 37.68%, 37.65% and 36.91%, respectively. The second significant parameter is the feed rate and the other parameter is significant only in relation to R pk and R k parameters.

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Section: Mono-objective Optimization Using S/n Ratiomentioning

confidence: 95%