Modeling and multi-objective optimization for minimizing surface roughness, cutting force, and power, and maximizing productivity for tempered stainless steel AISI 420 in turning operations

Zerti, Abderrahmen; Yallese, Mohamed Athmane; Meddour, Ikhlas; Belhadi, Salim; Haddad, A.; Mabrouki, Tarek

doi:10.1007/s00170-018-2984-8

Cited by 78 publications

(46 citation statements)

References 39 publications

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“…26 In order to achieve all these surface properties, a statistical approach is welcome in defining an optimized surface modification and response surface and ANOVA methodologies have been implemented into materials science lately as an efficient tool for such evaluations. 30,31 A central composite design (CCD) was chosen and carried out. Two variables were selected (time and temperature), which are shown to be the most determinant ones on the nitride layer outcomes.…”

Section: Introductionmentioning

confidence: 99%

Hollow cathode plasma nitriding of medical grade Ti6Al4V: A comprehensive study

et al. 2020

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Ti6Al4V used in biomedical applications still has several surface-related problems, such as poor bone compatibility and low wear resistance. In this work, the formation of a protective layer of titanium nitride obtained by plasma treatment in hollow cathode was studied, and the best experimental conditions were verified by a statistical factorial design of experiments. The samples were characterized in terms of their physical and chemical properties, correlating the effects of time (min) and temperature (°C). An achieved ideal condition was further analysed in terms of in vitro cytotoxicity, micro-abrasion, and electrochemical properties. The carried-out assessment has shown that nitrided condition has an improvement in wettability, microhardness, along with TixNy formation and roughness increment, when compared to pristine condition.

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Section: Introductionmentioning

confidence: 99%

Hollow cathode plasma nitriding of medical grade Ti6Al4V: A comprehensive study

et al. 2020

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“…The Taguchi approach and regression analysis were applied to build a statistical model of surface roughness, and GA toolkit was used for optimization. Zerti et al 8 investigated the optimization for four objectives in turning operations. First, the experiments were designed using Taguchi method with the input parameters of cutting speed, the depth of cut, and feed rate.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective parametric optimization for high surface quality and process efficiency in micro-grinding

Wang

Zhao

et al. 2020

Measurement and Control

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In this study, for the selection of maximum material removal rate and minimum surface roughness [Formula: see text] in micro-grinding of aluminum alloy through multi-response optimization, two optimization approaches are proposed based on statistical analysis and genetic algorithm. The statistical analysis–based approach applies response surface methodology according to the analysis of variance to propose a mathematical model for [Formula: see text]. In addition, the individual desirability of material removal rate, [Formula: see text], and the global desirability function are calculated, and the inverse analysis is conducted to locate input setting giving maximum desirability function. The genetic algorithm–based approach uses the improved multi-objective particle swarm optimization with the experimental data trained by support vector machine. To demonstrate that the material microstructure is a significant parameter for material removal rate and [Formula: see text], the models with and without Taylor factor consideration are developed and compared. The optimized results achieved from both response surface methodology and improved multi-objective particle swarm optimization demonstrate that the consideration of Taylor factor can significantly improve the optimization process to achieve the maximum material removal rate and minimum [Formula: see text].

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“…14 A great deal of research has been conducted to investigate the influence of cutting parameters on surface roughness. 15–24 The effect of cutting parameters on surface roughness varies relatively under different workpiece materials, cutting tool material and cutting conditions. General conclusions show that the lower the feed rate, the lower the surface roughness.…”

Section: Introductionmentioning

confidence: 99%

“…Common experimental design methods used in RSM analysis include full factorial design, 21 central composite design, 23 Box–Behnken designs 20 and Taguchi orthogonal design. 9,15,19 Full factorial design and Taguchi orthogonal design can more adequately establish the relationship between variables and responses, while other experimental designs can establish reliable responses with relatively lower number of trials. RSM also can intuitively predict the range of cutting parameters under optimal surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Investigation of surface damage and roughness for nickel-based superalloy GH4169 under hard turning processing

Pan

Fang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machined surface condition of nickel-based superalloys has an important influence on the functional performance of the components. Proper selection of cutting parameters could improve surface finish and increase service life of parts and components. This research work bases on an experimental and statistical study of turning GH4169 nickel-based superalloy with cemented carbide tool. Surface damages like feed marks, tips, and surface tearing were discussed. The second-order polynomial model was used to describe the surface roughness response. Variance analysis was selected to eliminate the insignificant variables in the roughness model. The response surface methodology was used to investigate the combined effect of cutting parameters on two different dimensions surface roughness parameters. The optimization of cutting parameters for minimum surface roughness was obtained using desirability function method. The results demonstrate that feed rate has the most significant effect on surface roughness. High cutting speed and low feed rate result in better surface quality, but too low feed rate exacerbates built-up edge phenomenon and deteriorates surface condition. Optimal cutting parameters leading to the minimum surface roughness were highlighted.

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Modeling and multi-objective optimization for minimizing surface roughness, cutting force, and power, and maximizing productivity for tempered stainless steel AISI 420 in turning operations

Cited by 78 publications

References 39 publications

Hollow cathode plasma nitriding of medical grade Ti6Al4V: A comprehensive study

Hollow cathode plasma nitriding of medical grade Ti6Al4V: A comprehensive study

Multi-objective parametric optimization for high surface quality and process efficiency in micro-grinding

Investigation of surface damage and roughness for nickel-based superalloy GH4169 under hard turning processing

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