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Kriyojenik İşlem Uygulanmış ve Uygulanmamış Kesici Takımlar Kullanılarak Tornalamada Kesme Kuvvetleri ve Yüzey Pürüzlülüğünün Gri İlişkiler Analizi

Yıl 2024, , 359 - 368, 29.11.2024
https://doi.org/10.35193/bseufbd.1380719

Öz

Gerçekleştirilen bu deneysel çalışmanın amacı, Taguchi Gri ilişkiler yöntemi kullanarak AISI 1050 çeliğinin tornalanmasında kesme kuvveti ve yüzey pürüzlülüğü değerlerini elde etmek için optimum ısıl işlem şartlarını ve işleme parametrelerini belirlemektir. Bu doğrultuda tornalama işlemleri, sabit kesme derinliğinde üç farklı kesme hızı ve üç farklı ilerleme değerlerinde gerçekleştirilmiştir. Tornalama deneyleri için Taguchi L18 (2^2 3^2) karma seviyeli tasarım dizilimi seçilmiştir. Yüzey pürüzlülüğü ve kesme kuvveti değerleri için en ideal ısıl işlem ve işleme parametreleri Taguchi Gri ilişkiler yöntemine göre sinyal/gürültü oranı en büyük en iyidir yaklaşımı ile tespit edilmiştir. Sonuçlar yüzey pürüzlülüğü ve kesme kuvvetleri için optimum parametrelerin kriyojenik ısıl işlem uygulanmış kesici takım ile, ilerleme değerinin 0,1 mm/dev ve kesme hızının 180 m/dak olduğu durumda elde edildiğini göstermiştir. ANOVA tablosu ve sinyal/gürültü oranlarına göre, kesme kuvvetleri ve yüzey pürüzlülüğü üzerinde en etkili parametreler sırasıyla ilerleme, kesme hızı ve ısıl işlem şartı olduğu tespit edilmiştir.

Proje Numarası

BTÜBAP-2019-YL-07

Kaynakça

  • Mia, M., Rifat, A., Tanvir, M. F., Gupta, M. K., Hossain, M. J., & Goswami, A. (2018). Multi-objective optimization of chip-tool interaction parameters using Grey-Taguchi method in MQL-assisted turning. Measurement, 129, 156-166.
  • Debnath, S., Reddy, M. M., & Yi, Q. S. (2016). Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method. Measurement, 78, 111-119.
  • Lin, C. L. (2004). Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Materials and manufacturing processes, 19(2), 209-220.
  • Rao, C. M., Venkatasubbaiah, K., Babu, S. P., & Srinivas, C. (2016). Optimization of surface roughness in CNC turning using Taguchi method and ANOVA. International Journal, 93, 1-14.
  • Cetin, M. H., Ozcelik, B., Kuram, E., & Demirbas, E. (2011). Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method. Journal of Cleaner Production, 19(17-18), 2049-2056.
  • Salvi, S. B., Deshmukh, R. R., & Deshmukh, S. D. (2013). Analysis of surface roughness in hard turning by using Taguchi method. International Journal of Engineering Science and Technology, 5(02), 365-370.
  • Zerti, O., Yallese, M., Zerti, A., Belhadi, S., & Girardin, F. (2018). Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/mixed ceramic tool (Al2O3+ TiC)). International Journal of Industrial Engineering Computations, 9(2), 173-194.
  • Uzun, G. (2019). Analysis of grey relational method of the effects on machinability performance on austempered vermicular graphite cast irons. Measurement, 142, 122-130.
  • Bhattacharya, A., Das, S., Majumder, P., Batish, A. (2009). Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA. Production Engineering, 3(1), 31-40.
  • Tzeng, C. J., Lin, Y. H., Yang, Y. K., & Jeng, M. C. (2009). Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis. Journal of materials processing technology, 209(6), 2753-2759.
  • Nalbant, M., Gökkaya, H., & Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials & design, 28(4), 1379-1385.
  • Günay, M., & Yücel, E. (2013). Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron. Measurement, 46(2), 913-919.
  • Sarıkaya, M., & Güllü, A. (2015). Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25. Journal of Cleaner Production, 91, 347-357.
  • Ramesh, K., Baranitharan, P., & Sakthivel, R. (2019). Investigation of the stability on boring tool attached with double impact dampers using Taguchi based Grey analysis and cutting tool temperature investigation through FLUKE-Thermal imager. Measurement, 131, 143-155.
  • Alaba, E.S., Kazeem, R.A., Adebayo, A.S., Petinrin, M.O., Ikumapayi, O.M., Jen, T.C., & Akinlabi, E.T. (2023). Evaluation of palm kernel oil as cutting lubricant in turning AISI 1039 steel using Taguchi-grey relational analysis optimization technique. Advances in Industrial and Manufacturing Engineering, 6, 100115.
  • A.D. Shirbhate, N.V. Deshpande, and Y.M. Puri, (2012). Effect of cryogenic treatment on cutting torque and surface finish in drilling operation with AISI M2 high speed steel. Int. J. Mech. Eng. Rob. Res, 1(2), 50-58.
  • N.A. Özbek, A. Çiçek, M. Gülesin, and O Özbek, (2014). Investigation of the effects of cryogenic treatment applied at different holding times to cemented carbide inserts on tool wear. International Journal of Machine Tools and Manufacture, 86, 34-43.
  • Acır, A., Canlı, M. E., Ata, İ., & Çakıroğlu, R. (2017). Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis. Applied Thermal Engineering, 122, 330-338.
  • Palanikumar, K. (2011). Experimental investigation and optimisation in drilling of GFRP composites. Measurement, 44(10), 2138-2148.
  • Bagaber, S. A.,Yusoff, A. R. (2017). Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316. Journal of cleaner production, 157, 30-46.
  • Gürbüz, H., Gönülaçar, Y. E., & Baday, Ş. (2020). Effect of MQL flow rate on machinability of AISI 4140 steel. Machining Science and Technology, 24(5), 663-687.
  • Kuntoğlu, M., Sağlam, H. (2019), “Investigation of progressive tool wear for determining of optimized machining parameters in turning,” Measurement, 140, pp 427–436.
  • Camposeco-Negrete, C. (2013), “Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA,” Journal of Cleaner Production, 53, 195–203.

Grey Relationship Analysis of Cutting Forces and Surface Roughness in Turning using Cryo-treated and Untreated Cutting Tools

Yıl 2024, , 359 - 368, 29.11.2024
https://doi.org/10.35193/bseufbd.1380719

Öz

The aim of this experimental study is to establish the optimum heat treatment procedure and machining parameters to obtain values of cutting force and surface roughness in machining AISI 1050 workpiece by utilizing grey relations analysis based on Taguchi method. In this regard, machining operations were carried out at three different cutting speeds and three different feed rates at a constant depth of cut. Taguchi mixed-level design L18 (2^2 3^2) was chosen for machining experiments. The optimum heat treatment and machining parameters for determination of cutting force and surface roughness values were identified according to the fact that higher the Signal/Noise ratio is better based on grey relations analysis of Taguchi method. The results showed that the optimum parameters for surface roughness and cutting forces were obtained as 0.1 mm/rev at feed rate and 180 m/min at cutting speed with cryo-treated cutting tool. According to ANOVA table and Signal/Noise ratios, it was specified that the most effective parameters on cutting forces and surface roughness were feed rate, cutting speed and heat treatment conditions, respectively.

Destekleyen Kurum

Batman University

Proje Numarası

BTÜBAP-2019-YL-07

Teşekkür

This paper was supported by Batman University Scientific Research Projects Coordination Unit (Project Number: BTÜBAP-2019-YL-07). Thanks to their supporting, the authors would like to thank Batman University.

Kaynakça

  • Mia, M., Rifat, A., Tanvir, M. F., Gupta, M. K., Hossain, M. J., & Goswami, A. (2018). Multi-objective optimization of chip-tool interaction parameters using Grey-Taguchi method in MQL-assisted turning. Measurement, 129, 156-166.
  • Debnath, S., Reddy, M. M., & Yi, Q. S. (2016). Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method. Measurement, 78, 111-119.
  • Lin, C. L. (2004). Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Materials and manufacturing processes, 19(2), 209-220.
  • Rao, C. M., Venkatasubbaiah, K., Babu, S. P., & Srinivas, C. (2016). Optimization of surface roughness in CNC turning using Taguchi method and ANOVA. International Journal, 93, 1-14.
  • Cetin, M. H., Ozcelik, B., Kuram, E., & Demirbas, E. (2011). Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method. Journal of Cleaner Production, 19(17-18), 2049-2056.
  • Salvi, S. B., Deshmukh, R. R., & Deshmukh, S. D. (2013). Analysis of surface roughness in hard turning by using Taguchi method. International Journal of Engineering Science and Technology, 5(02), 365-370.
  • Zerti, O., Yallese, M., Zerti, A., Belhadi, S., & Girardin, F. (2018). Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/mixed ceramic tool (Al2O3+ TiC)). International Journal of Industrial Engineering Computations, 9(2), 173-194.
  • Uzun, G. (2019). Analysis of grey relational method of the effects on machinability performance on austempered vermicular graphite cast irons. Measurement, 142, 122-130.
  • Bhattacharya, A., Das, S., Majumder, P., Batish, A. (2009). Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA. Production Engineering, 3(1), 31-40.
  • Tzeng, C. J., Lin, Y. H., Yang, Y. K., & Jeng, M. C. (2009). Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis. Journal of materials processing technology, 209(6), 2753-2759.
  • Nalbant, M., Gökkaya, H., & Sur, G. (2007). Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials & design, 28(4), 1379-1385.
  • Günay, M., & Yücel, E. (2013). Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron. Measurement, 46(2), 913-919.
  • Sarıkaya, M., & Güllü, A. (2015). Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25. Journal of Cleaner Production, 91, 347-357.
  • Ramesh, K., Baranitharan, P., & Sakthivel, R. (2019). Investigation of the stability on boring tool attached with double impact dampers using Taguchi based Grey analysis and cutting tool temperature investigation through FLUKE-Thermal imager. Measurement, 131, 143-155.
  • Alaba, E.S., Kazeem, R.A., Adebayo, A.S., Petinrin, M.O., Ikumapayi, O.M., Jen, T.C., & Akinlabi, E.T. (2023). Evaluation of palm kernel oil as cutting lubricant in turning AISI 1039 steel using Taguchi-grey relational analysis optimization technique. Advances in Industrial and Manufacturing Engineering, 6, 100115.
  • A.D. Shirbhate, N.V. Deshpande, and Y.M. Puri, (2012). Effect of cryogenic treatment on cutting torque and surface finish in drilling operation with AISI M2 high speed steel. Int. J. Mech. Eng. Rob. Res, 1(2), 50-58.
  • N.A. Özbek, A. Çiçek, M. Gülesin, and O Özbek, (2014). Investigation of the effects of cryogenic treatment applied at different holding times to cemented carbide inserts on tool wear. International Journal of Machine Tools and Manufacture, 86, 34-43.
  • Acır, A., Canlı, M. E., Ata, İ., & Çakıroğlu, R. (2017). Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis. Applied Thermal Engineering, 122, 330-338.
  • Palanikumar, K. (2011). Experimental investigation and optimisation in drilling of GFRP composites. Measurement, 44(10), 2138-2148.
  • Bagaber, S. A.,Yusoff, A. R. (2017). Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316. Journal of cleaner production, 157, 30-46.
  • Gürbüz, H., Gönülaçar, Y. E., & Baday, Ş. (2020). Effect of MQL flow rate on machinability of AISI 4140 steel. Machining Science and Technology, 24(5), 663-687.
  • Kuntoğlu, M., Sağlam, H. (2019), “Investigation of progressive tool wear for determining of optimized machining parameters in turning,” Measurement, 140, pp 427–436.
  • Camposeco-Negrete, C. (2013), “Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA,” Journal of Cleaner Production, 53, 195–203.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Makine Mühendisliğinde Optimizasyon Teknikleri
Bölüm Makaleler
Yazarlar

Şehmus Baday 0000-0003-4208-8779

Hüseyin Gürbüz 0000-0003-1391-172X

Onur Ersöz 0000-0002-9792-2268

Proje Numarası BTÜBAP-2019-YL-07
Yayımlanma Tarihi 29 Kasım 2024
Gönderilme Tarihi 24 Ekim 2023
Kabul Tarihi 26 Aralık 2023
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Baday, Ş., Gürbüz, H., & Ersöz, O. (2024). Grey Relationship Analysis of Cutting Forces and Surface Roughness in Turning using Cryo-treated and Untreated Cutting Tools. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 11(2), 359-368. https://doi.org/10.35193/bseufbd.1380719