Effect of wear progression in an 'S'-type mixed ceramic tool on machining forces and surface roughness in the turning of hardened AISI 4140 steel

Nicolodi, Jéferson Hilário W.; Consalter, Luiz Airton; Durán, Orlando; Souza, André J.

doi:10.1504/ijmmm.2019.10020845

Cited by 1 publication

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“…In addition, the authors have demonstrated that the most effective parameter on Ra formed on machined surfaces is the feed rate. 24…”

Section: Introductionmentioning

confidence: 99%

“…So, workpiece quality is increased by reducing the cutting tool wear. 2 Many researchers have attempted to investigate the effects of dry machining and MQL use in the turning processes, 7,8,11,[13][14][15][16][17][18][19][20][21][22][23][24] and these attempts have been going on.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the authors have demonstrated that the most effective parameter on Ra formed on machined surfaces is the feed rate. 24 The conventional experimental design methods, which are used for various machining operations are too sophisticated and difficult to use. In addition, increasing the number of cutting parameters used in the machining experiments increases the number of experiments.…”

Section: Introductionmentioning

confidence: 99%

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Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA

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2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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In this work, it is aimed to study the effects of dry machining and minimum quantity lubrication application on machinability in turning AISI 4140 steel by utilizing different cutting parameters. Also, this study contains effects and optimization of cutting conditions (dry and minimum quantity lubricating), feed rate, and cutting speed on surface roughness (Ra) and main cutting forces (Fc) determined by employing the Taguchi method. At the end of experiments, it was established that compared to dry machining operations, minimum quantity lubricating significantly reduced cutting tool wear, while Fc and Ra decreased in general. Analyses of variance, regression analysis, signal-to-noise ratio, and orthogonal array were employed to analyze the effects and contributions of independent variables on dependent variables. The optimum levels of the dependent variables for reducing Fc and Ra using signal-to-noise rates were established. According to signal-to-noise ratios, minimum quantity lubricating had a more important effect on Fc and Ra than dry machining. The optimal conditions for Fc and Ra were at 0.16 mm/rev feed rate, 125 m/min cutting speed at minimum quantity lubricating. Analysis of variance results demonstrated that the feed rate is the most influential independent variable on Fc (93.976 %) and Ra (89.352 %). Validation test results exhibited that the Taguchi method and regression analysis were highly achieved methods in the optimization of independent variables for dependent variables. Taguchi optimization technique and regression analysis obtained from Fc ([Formula: see text] = 0.972 and [Formula: see text] = 0.997) and Ra ([Formula: see text] = 0.985 and [Formula: see text] = 0.996) measurements match really well with the experimental data.

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“…In addition, the authors have demonstrated that the most effective parameter on Ra formed on machined surfaces is the feed rate. 24…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA

Gürbüz

Gönülaçar

2020

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

Effect of wear progression in an 'S'-type mixed ceramic tool on machining forces and surface roughness in the turning of hardened AISI 4140 steel

Cited by 1 publication

References 0 publications

Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA

Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA

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