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Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method

Year 2020, Volume: 10 Issue: 4, 2840 - 2849, 15.12.2020
https://doi.org/10.21597/jist.736802

Abstract

AISI 4140 steel material has a wide range of usage in the industry. Before this material is hardened, rough turning is performed. Besides the surface roughness value is very important in terms of machinability. In this experimental study, the effect of cutting parameters on surface roughness (Ra and Rz) during the turning of AISI 4140 steel was analyzed using the Taguchi method. This study, Taguchi L9 was designed in 3 different cutting speeds (100, 140 and 180 m min-1), 3 different feed rates (0.08, 0.12 and 0.16 mm rev-1), and 3 different depth of cut (0.5, 0.9 and 1.3 mm). In the analysis of experimental data, S/N (signal/noise) ratios and variance analysis were used to analyze the effect of cutting parameters on the surface roughness value. The degrees of influence on Ra according to S/N ratios are the feed rate ( f ), cutting speed (V), and depth of cut (a), respectively, from large to small. On Rz, the effects of cutting parameters respectively were observed to be in f, a, and V. The f on surface roughness values (Ra and Rz) was found to have an effect of 99.34% and 98.47%, respectively.

References

  • Akkurt M, 1998. Talaş Kaldırma Yöntemleri ve Takım Tezgâhları. Birsen Yayınevi, İstanbul.
  • Asiltürk İ, Akkuş H, 2011. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method, Measurement 44:1697-1704.
  • Asiltürk İ, Çunkaş M, 2011. Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method, Expert Systems with Applications, 38:5826-5832.
  • Chavoshi SZ, Tajdari M, 2010. Surface roughness modelling in hard turning operation of AISI 4140 using CBN cutting tool, Int J Mater Form 3:233-239.
  • Daim JP, Gaitonde VN, Karnik SR, 2008. Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models, Journal of materials processing technology 205:16-23.
  • Das SR, Dhupal D, Kumar A, 2015. Study of surface roughness and flank wear in hard turning of AISI 4140 steel with coated ceramic inserts, Journal of Mechanical Science and Technology 29:4329-4340.
  • Das SR, Panda A, Dhupal D, 2017. Analysis of surface roughness in hard turning with coated ceramic inserts: Cutting parameters effects, prediction model, cutting conditions optimization and cost analysis, Ciência e Técnica Vitivinícola 32:127-154.
  • Demir H, Özlü B, 2009. Sertleştirilmiş 30MnVS6 mikroalaşımlı çeliğin kesme kuvvetleri ve yüzey pürüzlülüğü açısından işlenebilirliğinin araştırılması. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25:262-271.
  • Gür AK, Taşkaya S, Özay Ç, 2019. Ramor 500 Çeliğinde Isıl İşlemin Mikroyapı, Mikrosertlik ve Abrasiv Aşınma Direncine Etkisinin Taguchi Metoduyla Değerlendirilmesi, BEÜ Fen Bilimleri Dergisi 8:1045-1056.
  • Günay M, 2013. AISI 316L çeliğinin işlenmesinde takım radyüsü ve kesme parametrelerinin Taguchi yöntemiyle optimizasyonu. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 28:437-444.
  • Hessainia Z, Belbah A, Yallese MA, Mabrouki T, Rigal JF, 2013. On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations, Measurement 46:1671-1681.
  • Koçak H, 2011. GGG 90 Küresel Grafitli Dökme Demirin İşlenebilirliğinin Kesme Kuvvetleri Yüzey Pürüzlülüğü ve Takım Aşınması Açısından Değerlendirilmesi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, M. Sc. Thesis, Ankara.
  • Motorcu AR, Işık Y, Kuş A, Çakır MC, 2016. Analysis of The Cutting Temperature and Surface Roughness During The Orthogonal Machining of AISI 4140 Alloy Steel Via The Taguchi Method, Materials and technology 50:343-351.
  • Nalbant M, Gökkaya H, Sur G, 2007. Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Materials and Design 28:1379-1385.
  • Öktem H, Erzurumlu T, Kurtaran H, 2005. Application of response surface methodology in the optimization of cutting conditions for surface roughness. Journal of Materials Processing Technology 170:11-16.
  • Özdemir M, 2019. Optimization with Taguchi Method of Influences on Surface Roughness of Cutting Parameters in CNC Turning Processing, Mechanika 25:397-405.
  • Özel T, Karpat Y, 2005. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks, International Journal of Machine Tools & Manufacture 45:467-479.
  • Özerkan H, 2018. Tornada Oluşan Yüzey Pürüzlülüğünün Yorulma Ömrüne Etkisinin Teorik Değerlendirilmesi. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 33:189-198.
  • Reis BCM, Santos JDS, Santos NFPD, Camara MA, Faria PE, Abrao AM, 2019. Cutting performance and wear behavior of coated cermet and coated carbide tools when turning AISI 4340 steel, The International Journal of Advanced Manufacturing Technology 105:1655-1663.
  • Ross PJ, 1988. Taguchi Techniques for Quality Engineering, Mc-Graw-Hill, New York
  • Savas V, Ozay C, Ballikaya H, 2016. Experimental investigation of cutting parameters in machining of 100Cr6 with tangential turn-milling method. Adv. Manuf. 4:97-104.
  • Shaw MC, 1984. Metal Cutting Principles, Oxford University Press Oxford.
  • Suresh R, Basavarajappa S, Gaitonde VN, Samuel GL, 2012. Machinability investigations on hardened AISI 4340 steel using coated carbide insert, Int. J. Refract. Metals Hard Mater. 33:75–86.
  • Şahinoğlu A, Rafighi M, 2020. Investigation of Vibration, Sound Intensity, Machine Current and Surface Roughness Values of AISI 4140 During Machining on the Lathe, Arabian Journal for Science and Engineering 45:765-778.
  • Tekaslan Ö, Gergen N, Şeker U, 2008. CNC torna tezgahında AISI 304 çeliklerin işlenemesinde optimum yüzey pürüzlülüğünü sağlayacak kesme parametrelerinin tespiti. Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi 16:97-104.
  • Turgut Y, Çakmak I, 2019. Investigation of the Effect of Chip Breaker Form on Surface Roughness and Cutting Forces in AISI 1040 Steel Milling. GU J Sci, Part C 7:482-494.
  • Yadav UK, Narang D, Attri PS, 2012. Experimental Investigation and Optimization of Machining Parameters for Surface Roughness In CNC Turning By Taguchi Method. International Journal of Engineering Research and Applications 2:2060-2065.
  • Wang X, Feng CX, 2002. Development of empirical models for surface roughness prediction in finish turning. The International Journal of Advanced Manufacturing Technology 20:348-356.

Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method

Year 2020, Volume: 10 Issue: 4, 2840 - 2849, 15.12.2020
https://doi.org/10.21597/jist.736802

Abstract

AISI 4140 steel material has a wide range of usage in the industry. Before this material is hardened, rough turning is performed. Besides the surface roughness value is very important in terms of machinability. In this experimental study, the effect of cutting parameters on surface roughness (Ra and Rz) during the turning of AISI 4140 steel was analyzed using the Taguchi method. This study, Taguchi L9 was designed in 3 different cutting speeds (100, 140 and 180 m min-1), 3 different feed rates (0.08, 0.12 and 0.16 mm rev-1), and 3 different depth of cut (0.5, 0.9 and 1.3 mm). In the analysis of experimental data, S/N (signal/noise) ratios and variance analysis were used to analyze the effect of cutting parameters on the surface roughness value. The degrees of influence on Ra according to S/N ratios are the feed rate ( f ), cutting speed (V), and depth of cut (a), respectively, from large to small. On Rz, the effects of cutting parameters respectively were observed to be in f, a, and V. The f on surface roughness values (Ra and Rz) was found to have an effect of 99.34% and 98.47%, respectively.

References

  • Akkurt M, 1998. Talaş Kaldırma Yöntemleri ve Takım Tezgâhları. Birsen Yayınevi, İstanbul.
  • Asiltürk İ, Akkuş H, 2011. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method, Measurement 44:1697-1704.
  • Asiltürk İ, Çunkaş M, 2011. Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method, Expert Systems with Applications, 38:5826-5832.
  • Chavoshi SZ, Tajdari M, 2010. Surface roughness modelling in hard turning operation of AISI 4140 using CBN cutting tool, Int J Mater Form 3:233-239.
  • Daim JP, Gaitonde VN, Karnik SR, 2008. Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models, Journal of materials processing technology 205:16-23.
  • Das SR, Dhupal D, Kumar A, 2015. Study of surface roughness and flank wear in hard turning of AISI 4140 steel with coated ceramic inserts, Journal of Mechanical Science and Technology 29:4329-4340.
  • Das SR, Panda A, Dhupal D, 2017. Analysis of surface roughness in hard turning with coated ceramic inserts: Cutting parameters effects, prediction model, cutting conditions optimization and cost analysis, Ciência e Técnica Vitivinícola 32:127-154.
  • Demir H, Özlü B, 2009. Sertleştirilmiş 30MnVS6 mikroalaşımlı çeliğin kesme kuvvetleri ve yüzey pürüzlülüğü açısından işlenebilirliğinin araştırılması. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25:262-271.
  • Gür AK, Taşkaya S, Özay Ç, 2019. Ramor 500 Çeliğinde Isıl İşlemin Mikroyapı, Mikrosertlik ve Abrasiv Aşınma Direncine Etkisinin Taguchi Metoduyla Değerlendirilmesi, BEÜ Fen Bilimleri Dergisi 8:1045-1056.
  • Günay M, 2013. AISI 316L çeliğinin işlenmesinde takım radyüsü ve kesme parametrelerinin Taguchi yöntemiyle optimizasyonu. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 28:437-444.
  • Hessainia Z, Belbah A, Yallese MA, Mabrouki T, Rigal JF, 2013. On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations, Measurement 46:1671-1681.
  • Koçak H, 2011. GGG 90 Küresel Grafitli Dökme Demirin İşlenebilirliğinin Kesme Kuvvetleri Yüzey Pürüzlülüğü ve Takım Aşınması Açısından Değerlendirilmesi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, M. Sc. Thesis, Ankara.
  • Motorcu AR, Işık Y, Kuş A, Çakır MC, 2016. Analysis of The Cutting Temperature and Surface Roughness During The Orthogonal Machining of AISI 4140 Alloy Steel Via The Taguchi Method, Materials and technology 50:343-351.
  • Nalbant M, Gökkaya H, Sur G, 2007. Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Materials and Design 28:1379-1385.
  • Öktem H, Erzurumlu T, Kurtaran H, 2005. Application of response surface methodology in the optimization of cutting conditions for surface roughness. Journal of Materials Processing Technology 170:11-16.
  • Özdemir M, 2019. Optimization with Taguchi Method of Influences on Surface Roughness of Cutting Parameters in CNC Turning Processing, Mechanika 25:397-405.
  • Özel T, Karpat Y, 2005. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks, International Journal of Machine Tools & Manufacture 45:467-479.
  • Özerkan H, 2018. Tornada Oluşan Yüzey Pürüzlülüğünün Yorulma Ömrüne Etkisinin Teorik Değerlendirilmesi. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 33:189-198.
  • Reis BCM, Santos JDS, Santos NFPD, Camara MA, Faria PE, Abrao AM, 2019. Cutting performance and wear behavior of coated cermet and coated carbide tools when turning AISI 4340 steel, The International Journal of Advanced Manufacturing Technology 105:1655-1663.
  • Ross PJ, 1988. Taguchi Techniques for Quality Engineering, Mc-Graw-Hill, New York
  • Savas V, Ozay C, Ballikaya H, 2016. Experimental investigation of cutting parameters in machining of 100Cr6 with tangential turn-milling method. Adv. Manuf. 4:97-104.
  • Shaw MC, 1984. Metal Cutting Principles, Oxford University Press Oxford.
  • Suresh R, Basavarajappa S, Gaitonde VN, Samuel GL, 2012. Machinability investigations on hardened AISI 4340 steel using coated carbide insert, Int. J. Refract. Metals Hard Mater. 33:75–86.
  • Şahinoğlu A, Rafighi M, 2020. Investigation of Vibration, Sound Intensity, Machine Current and Surface Roughness Values of AISI 4140 During Machining on the Lathe, Arabian Journal for Science and Engineering 45:765-778.
  • Tekaslan Ö, Gergen N, Şeker U, 2008. CNC torna tezgahında AISI 304 çeliklerin işlenemesinde optimum yüzey pürüzlülüğünü sağlayacak kesme parametrelerinin tespiti. Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi 16:97-104.
  • Turgut Y, Çakmak I, 2019. Investigation of the Effect of Chip Breaker Form on Surface Roughness and Cutting Forces in AISI 1040 Steel Milling. GU J Sci, Part C 7:482-494.
  • Yadav UK, Narang D, Attri PS, 2012. Experimental Investigation and Optimization of Machining Parameters for Surface Roughness In CNC Turning By Taguchi Method. International Journal of Engineering Research and Applications 2:2060-2065.
  • Wang X, Feng CX, 2002. Development of empirical models for surface roughness prediction in finish turning. The International Journal of Advanced Manufacturing Technology 20:348-356.
There are 28 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Makina Mühendisliği / Mechanical Engineering
Authors

Oğur İynen 0000-0003-1096-1836

Abidin Şahinoğlu This is me 0000-0003-0040-442X

Mustafa Özdemir 0000-0002-7340-0940

Volkan Yılmaz 0000-0002-8937-6527

Publication Date December 15, 2020
Submission Date May 13, 2020
Acceptance Date June 18, 2020
Published in Issue Year 2020 Volume: 10 Issue: 4

Cite

APA İynen, O., Şahinoğlu, A., Özdemir, M., Yılmaz, V. (2020). Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method. Journal of the Institute of Science and Technology, 10(4), 2840-2849. https://doi.org/10.21597/jist.736802
AMA İynen O, Şahinoğlu A, Özdemir M, Yılmaz V. Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method. J. Inst. Sci. and Tech. December 2020;10(4):2840-2849. doi:10.21597/jist.736802
Chicago İynen, Oğur, Abidin Şahinoğlu, Mustafa Özdemir, and Volkan Yılmaz. “Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel With Taquchi Method”. Journal of the Institute of Science and Technology 10, no. 4 (December 2020): 2840-49. https://doi.org/10.21597/jist.736802.
EndNote İynen O, Şahinoğlu A, Özdemir M, Yılmaz V (December 1, 2020) Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method. Journal of the Institute of Science and Technology 10 4 2840–2849.
IEEE O. İynen, A. Şahinoğlu, M. Özdemir, and V. Yılmaz, “Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method”, J. Inst. Sci. and Tech., vol. 10, no. 4, pp. 2840–2849, 2020, doi: 10.21597/jist.736802.
ISNAD İynen, Oğur et al. “Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel With Taquchi Method”. Journal of the Institute of Science and Technology 10/4 (December 2020), 2840-2849. https://doi.org/10.21597/jist.736802.
JAMA İynen O, Şahinoğlu A, Özdemir M, Yılmaz V. Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method. J. Inst. Sci. and Tech. 2020;10:2840–2849.
MLA İynen, Oğur et al. “Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel With Taquchi Method”. Journal of the Institute of Science and Technology, vol. 10, no. 4, 2020, pp. 2840-9, doi:10.21597/jist.736802.
Vancouver İynen O, Şahinoğlu A, Özdemir M, Yılmaz V. Investigation of the Effect of Cutting Parameters on the Surface Roughness Value in the Machining of AISI 4140 Steel with Taquchi Method. J. Inst. Sci. and Tech. 2020;10(4):2840-9.

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