Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool

Bouacha, Khaider; Yallese, Mohamed Athmane; Mabrouki, Tarek; Rigal, Jean-François

doi:10.1016/j.ijrmhm.2009.11.011

Cited by 337 publications

(192 citation statements)

References 15 publications

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“…During our current investigations on Ti-6Al-4V alloy machining, the cutting speeds are higher than those favoring BUE formation. According to Chen 40 and Bouacha et al 9 , the deformation velocity influences the properties of the metals. Higher the velocity, less important the plastic behavior is.…”

Section: Effect Of Cutting Speedmentioning

confidence: 99%

“…Surface roughness prediction model in terms of cutting speed, feed rate and depth of cut using response surface methodology has been widely reported in literature [4][5][6][7][8][9][10] . It was found that cutting speed and feed rate are the significant machining parameters affecting surface roughness, while the effect of depth of cut is found to be negligible.…”

Section: Introductionmentioning

confidence: 99%

“…It was found that cutting speed and feed rate are the significant machining parameters affecting surface roughness, while the effect of depth of cut is found to be negligible. The use of higher cutting speed with lower feed rate produces a better surface finish, mainly due to high temperature 8,9 . Azlan Mohd Zain et al 11 investigated the effects of radial rake angle of tool, combined with cutting speed and feed on surface roughness.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of surface roughness and hardness in titanium alloy machining with polycrystalline diamond tool under different lubricating modes

Revankar¹,

Shetty

Rao

et al. 2014

Mat. Res.

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The present work deals with the investigation on machining of difficult-to-machine material titanium alloy (Ti-6Al-4V) using poly crystalline diamond (PCD) tool under different coolant strategies, namely dry, flooded and MQL. Taguchi technique has been employed and the optimization results indicated that MQL lubricating mode with cutting speed of 150 m/min, feed rate of 0.15 mm/rev, nose radius of 0.6 mm and 0.25 mm depth of cut is necessary to minimize surface roughness and dry mode with cutting speed of 150 m/min, feed rate of 0.15 mm/rev, nose radius of 0.6 mm and 0.75 mm depth of cut is necessary to maximize surface hardness. The results indicate the substantial benefit of the minimum quantity of lubrication (MQL) and justify PCD inserts to be the most functionally satisfactory commercially available cutting tool material for machining titanium alloys for better surface finish and hardness.

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Section: Effect Of Cutting Speedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of surface roughness and hardness in titanium alloy machining with polycrystalline diamond tool under different lubricating modes

Revankar¹,

Shetty

Rao

et al. 2014

Mat. Res.

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“…Regression model of First and second order exponential models were generated to ascertain the correlations. Bouacha et al [9] examined the dry turning of 64 HRC AISI 52100 steel bar employing CBN insert through statistical analysis applying RSM in context to surface quality and cutting forces.…”

Section: Introductionmentioning

confidence: 99%

Investigating Machinability in Hard Turning of AISI 52100 Bearing Steel Through Performance Measurement: QR, ANN and GRA Study

Panda¹,

Sahoo²,

Panigrahi³

et al. 2018

INT. J. AUTOMOT. MECH. ENG.

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The existing endeavor investigates on machinability characteristics through performance measurement of flank wear, surface quality and chip morphology during finish turning of AISI 52100 bearing steel (55 ± 1 HRC) under dry environment employing carbide insert coated along with various layers (TiN/TiCN/Al2O3). Secondly the influence of machining variables viz. cutting speed, feed rate and depth of cut on responses are assessed by ANOVA and modeled through quadratic regression and artificial neural network. Multiparametric optimization of cutting conditions has been obtained through Taguchi based grey relational analysis. Finally, tool life at ideal conditions has been evaluated through experiment. Based on the study, it is disclosed that coated carbide with multilayer insert outperformed during hard machining as wear at the flank surface and surface quality are within the benchmark cap of 0.3 mm and 1.6 microns respectively. From the chip morphology analysis, multilayer coated carbide insert generates lower temperature and maintains cutting edge sharpness and delays the growth of tool wear. ANN model using multilayered feed forward network yields accurate prediction of responses with minimum error percentage compared to QR model. The optimal parametric combination through GRA approach is found to be d1 (0.1 mm)-f1 (0.04 mm/rev)-v2 (110 m/min) and is greatly improved. Feed is the compelling aspect for multi-responses pursued by cutting speed. The tool life at optimized cutting condition is found to be approximately 19 minutes.

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“…The surface roughness and the roundness error are affected by several factors including the cutting-tool geometry, the cutting speed, the feed rate, the microstructure of a workpiece and the rigidity of a machine tool. 14,15 In recent years, much work has been performed using various statistical and experimental techniques. These studies were mostly based on the design and analysis of experimental methods to determine the effects of the cutting parameters on the diameter error, the roundness and the surface roughness of cylindrical parts.…”

Section: Introductionmentioning

confidence: 99%

Application of the Taguchi method to optimize the cutting conditions in hard turning of a ring bore

Boy¹,

Çiftçi²,

Günay³

et al. 2015

Mater. Tehnol.

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This paper is focused on optimizing the cutting conditions for the surface roughness, inner-diameter error and roundness obtained in hard turning of an inner ring bore. The hard-turning experiments were conducted on hardened and tempered AISI 52100 bearing rings using the L9 orthogonal array on a CNC lathe. The cutting speed, feed rate and number of the machined part were selected as control factors. The optimum cutting conditions were determined using the signal-to-noise (S/N) ratio. S/N ratios were calculated using the lower-the-better approach. An analysis of variance (ANOVA) was also employed to determine the level of the effect of the control factors for the surface roughness, inner-diameter error and roundness. The statistical analysis showed that the feed rate was the most significant factor for the surface roughness while the cutting speed was the most significant factor for the roundness and inner-diameter error. Finally, the optimum cutting conditions were further confirmed with confirmation tests. Keywords: diameter error, hard turning, roundness, surface roughness, Taguchi method lanek je osredinjen na optimiranje razmer pri rezanju glede na hrapavost povr{ine, napake notranjega premera in okroglosti pri trdem stru`enju notranjega roba izvrtine. Preizkusi trdega stru`enja so bili izvr{eni pri kaljenem in popu{~enem AISI 52100 obro~u le`aja z uporabo L9 ortogonalne matrike na CNC-stru`nici. Hitrost rezanja, hitrost podajanja in {tevilo obdelanih kosov so bili izbrani kot kontrolni faktorji. Optimalne razmere rezanja so bile izbrane z uporabo razmerja signal-hrup (S/N). S/N-razmerja so bila izra~unana s pribli`kom~im manj tem bolj{e. Analiza variance (ANOVA) je bila tudi uporabljena za dolo~itev vpliva kontrolnih faktorjev na hrapavost povr{ine, napak notranjega premera in okroglosti. Kon~no so bili optimalni parametri potrjeni s potrditvenimi preizkusi.

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Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool

Cited by 337 publications

References 15 publications

Analysis of surface roughness and hardness in titanium alloy machining with polycrystalline diamond tool under different lubricating modes

Analysis of surface roughness and hardness in titanium alloy machining with polycrystalline diamond tool under different lubricating modes

Investigating Machinability in Hard Turning of AISI 52100 Bearing Steel Through Performance Measurement: QR, ANN and GRA Study

Application of the Taguchi method to optimize the cutting conditions in hard turning of a ring bore

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