Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions

Sarıkaya, Murat

doi:10.17222/mit.2014.282

Cited by 19 publications

(11 citation statements)

References 15 publications

(31 reference statements)

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“…8 were shaped according to the change in the feed rate parameter. Similar to the result obtained in this study, it has been understood that the feed rate parameter is the most dominant parameter in many different machining studies [7,14].…”

Section: Resultssupporting

confidence: 89%

“…The effectiveness of other parameters is very low. This result was in parallel with several studies in the literature [6,13,14,18]. In order to better understand the effectiveness of the parameters, the % effectiveness value was calculated and plotted for each parameter in both methods (Fig.…”

Section: Resultssupporting

confidence: 69%

“…This may be explained by the fact that the experiments carried out at 700 °C were affected less by the experimental conditions. Different studies have shown high consistency for both TM (96.8%- [14], 94%- [7]) and RSM (90.21%- [24], 82.5%- [22], 87.5%- [23]) in the optimization of machining operations. When these results were evaluated, it was understood that the analyses made with TM obtained the same results as the successful studies in the literature, and the analyses made with the RSM obtained more successful results compared to the studies in the literature.…”

Section: Resultsmentioning

confidence: 99%

“…The Taguchi approach showed that the feed rate was the most important parameter in the experiments. Sarikaya [14] estimated the surface roughness values obtained by turning stainless steel using a coolant with the Taguchi method. As a result of their study, they found that the feed rate was the parameter that was the most effective on surface roughness.…”

Section: Introductionmentioning

confidence: 99%

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Investigation and optimization of surface roughness with experimental design methods by turning of AISI-1050 after spheroidization heat treatment

2020

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In this study, surface roughness values that were obtained by turning a medium-carbon steel (AISI 1050) applied to spheroidization heat treatment were modeled with two different optimization methods. The test materials were subjected to spheroidization heat treatment for three different periods as 15, 60, and 180 min. Three different cutting speeds and three different feed rates were used for the turning operations. Surface roughness values obtained from the surface of the workpieces after turning were analyzed by the response surface method (RSM) and Taguchi method (TM). These analyses show that the surface roughness changes directly depending on the feed rate and other parameters have a limited effect on the surface roughness. The regression analysis revealed that in both methods, the R 2 values were higher than 0.99, and it showed the effectiveness of these two methods. As a result, these two different experimental design methods showed high stability in solving this engineering problem. Additionally, in the comparison of the methods with each other, the ratio of similarity to the experimental results was evaluated by considering the percentage. The ratio of similarity was obtained by over 90% in both methods. When the ratio of similarity was analyzed, RSM had more effective results than TM.

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Section: Resultssupporting

confidence: 89%

Section: Resultssupporting

confidence: 69%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation and optimization of surface roughness with experimental design methods by turning of AISI-1050 after spheroidization heat treatment

2020

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“…21,22 The Taguchi method significantly decreases the number of tests needed and increases the machining performance by using orthogonal arrays. 23,24 For the realization of the experimental design, first of all, the control factors and their levels must be determined. In this study, the cutting tools (PVD and CVD), cutting speed (V), feed rate (f) and depth of cut (ap) were determined as the control factors.…”

Section: Taguchi's Design Of Experimentsmentioning

confidence: 99%

Optimization of the machining parameters for the turning of 15-5 PH stainless steels using the Taguchi method

Çetin¹,

Kıvak²

2017

Mater. Tehnol.

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The present study investigated the effects of the control factors of cutting speed, feed rate and depth of cut on the response variables of cutting force (Fc) and surface roughness (Ra) in the dry turning of 15-5 PH martensitic stainless steel. Using PVD TiAlN-AlCrO-and CVD TiCN-Al2O3-TiN-coated carbide-cutting-tool inserts, a number of turning experiments were conducted via the L18 (2 1 ×3 3 ) Taguchi mixed orthogonal array. The machining parameters were optimized using signal-to-noise ratio (S/N) and analysis of variance (ANOVA). Additionally, empirical models were created for predicting the Fc and Ra using multiple-regression analysis. The results indicated that depth of cut was the most significant cutting parameter affecting Fc, while the feed rate contributed the most to Ra. The developed quadratic regression model, showing a high determination coefficient of 0.981 for Fc and 0.988 for Ra, accurately explained the relationship between the response variable and the control factors. Keywords: Taguchi method, turning, cutting force, surface roughness, 15-5 PH steel [tudija prou~uje vplive kontrolnih faktorjev kot so: hitrost rezanja, hitrost podajanja in globina rezanja na spremenljivki odziva: silo rezanja (Fc) in hrapavost povr{ine (Ra) pri suhem stru`enju martenzitnega nerjavnega jekla 15-5 PH. Z uporabo PVD TiAlN-AlCrO-in CVD TiCN-Al2O3-TiN-nanosov na karbidnih vlo`kih za rezanje, so bili izvedeni {tevilni preizkusi stru`enja s pomo~jo me{ane L18 (2 1 ×3 3 ) Taguchi ortogonalne matrike. Parametri obdelave so bili optimirani z uporabo razmerja signala {uma (S/N) in analizo variance (ANOVA). Dodatno so bili postavljeni empiri~ni modeli za napovedovanje Fc in Ra z uporabo razli~nih regresijskih analiz. Rezultati so pokazali, da je globina reza najpomembnej{i parameter rezanja, ki vpliva na Fc, medtem ko hitrost podajanja najve~prispeva k Ra. Razviti kvadratni regresijski model, ki ka`e dolo~en visok koeficient 0,981 za Fc in 0,988 za Ra, natan~no pojasni razmerje med spremenljivko odziva in kontrolnimi faktorji.

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Optimization of hole quality produced by novel drill geometries using the Taguchi S/N approach

Meral

Sarıkaya

Mia

et al. 2018

Int J Adv Manuf Technol

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Optimization of the surface roughness by applying the Taguchi technique for the turning of stainless steel under cooling conditions

Cited by 19 publications

References 15 publications

Investigation and optimization of surface roughness with experimental design methods by turning of AISI-1050 after spheroidization heat treatment

Investigation and optimization of surface roughness with experimental design methods by turning of AISI-1050 after spheroidization heat treatment

Optimization of the machining parameters for the turning of 15-5 PH stainless steels using the Taguchi method

Optimization of hole quality produced by novel drill geometries using the Taguchi S/N approach

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