Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2023, , 55 - 60, 22.06.2023
https://doi.org/10.46810/tdfd.1210013

Öz

Kaynakça

  • Kuntoğlu M, Acar O, Gupta MK, Sağlam H, Sarikaya M, Giasin K, et al. Parametric optimization for cutting forces and material removal rate in the turning of AISI 5140. Machines. 2021;9(5):90.
  • Usca ÜA, Uzun M, Kuntoğlu M, Sap E, Gupta MK. Investigations on tool wear, surface roughness, cutting temperature, and chip formation in machining of Cu-B-CrC composites. The International Journal of Advanced Manufacturing Technology. 2021;116(9):3011-25.
  • Salur E. Understandings the tribological mechanism of Inconel 718 alloy machined under different cooling/lubrication conditions. Tribology International. 2022:107677.
  • Binali R, Patange AD, Kuntoğlu M, Mikolajczyk T, Salur E. Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review. Energies. 2022;15(21):8313.
  • Barış Ö, Akgün M, Demir H. AA 6061 Alaşımının tornalanmasında kesme parametrelerinin yüzey pürüzlülüğü üzerine etkisinin analizi ve optimizasyonu. Gazi Mühendislik Bilimleri Dergisi. 2019;5(2):151-8.
  • Grzesik W. Advanced machining processes of metallic materials: theory, modelling and applications: Elsevier; 2008.
  • Binali R, Coşkun M, Neşeli S. An Investigation of Power Consumption in Milling AISI P20 Plastic Mold Steel By Finite Elements Method. Avrupa Bilim ve Teknoloji Dergisi. 2022(34):513-8.
  • Binali R, Yaldız S, Neşeli S. S960QL Yapı Çeliğinin İşlenebilirliğinin Sonlu Elemanlar Yöntemi ile İncelenmesi. Avrupa Bilim ve Teknoloji Dergisi. 2021(31):85-91.
  • Karaman S. Küresel grafitli dökme demirlerin (GGG40, GGG50, GGG60, GGG70) üretim sürecinin ve mekanik özelliklerinin incelenmesi: Trakya Üniversitesi Fen Bilimleri Enstitüsü; 2011.
  • Kaçal A, Gülesin M, Melek F. GGG 40 Küresel grafitli dökme demirlerin ince tornalama operasyonlarında kesme kuvvetlerinin ve yüzey pürüzlülüğünün değerlendirilmesi. Politeknik Dergisi. 2008;11(3):229-34.
  • Şahinoğlu A, Güllü A, Dönertaş MA. GGG50 malzemenin torna tezgâhında işlenmesinde kesme parametrelerinin titreşim, ses şiddeti ve yüzey pürüzlülüğü üzerinde etkisinin araştırılması. Sinop Üniversitesi Fen Bilimleri Dergisi. 2017;2(1):67-79.
  • Mavi A, Korkut I. The effects of austempering temperature and time on the machinability of vermicular graphite iron. Materials Testing. 2014;56(4):289-93.
  • Binali R. Optimization of Parameters Affecting Cutting Temperatures During Turning of GGG50 Cast Iron. 2nd International Conference on Engineering and Applied Natural Sciences2022. p. 652-6.
  • Karabulut Ş, Güllü A. Farklı yanaşma açıları ile vermiküler grafitli dökme demirin frezelenmesinde kesme kuvvetlerinin araştırılması ve analitik modellenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2013;28(1).
  • Düzce R, Samtaş G. GG25 Dökme Demirin Frezelenmesinde Kesme Parametrelerinin Kesme Sıcaklığı Üzerine Etkisi ve Optimizasyonu. İmalat Teknolojileri ve Uygulamaları.2(3):20-33.
  • Ucun İ, Aslantaş K, Taşgetiren S, Gök K. Östemperlenmiş küresel grafitli dökme demirin sinterlenmiş karbür kesici takım ile tornalama işleminde takım performansının incelenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2007;22(4):739-44.
  • matmatch.com. https://matmatch.com/materials/minfm32356-din-1693-1-grade-ggg-50-cast-condition; 2022 [Available from: https://matmatch.com/materials/minfm32356-din-1693-1-grade-ggg-50-cast-condition.
  • Binali R, Yaldız S, Neseli S. Parametric optimization for machinability parameters of S960QL structural steel during milling by finite elements. Selcuk University Journal of Engineering Sciences. 2022;21(1):26-31.
  • Binali R, Yaldız S, Neşeli S. Investigation of Power Consumption in the Machining of S960QL Steel by Finite Elements Method. European Journal of Technique (EJT). 2022;12(1):43-8.
  • Kıvak T. Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts. Measurement. 2014;50:19-28.
  • Kuntoğlu M. Prediction of progressive tool wear and cutting tool breakageusing acoustic emission and cutting force signals in turning. Msater’s Thesis, Institute of Science and Technology, Selcuk University, Konya, Turkey. 2016.
  • Kuntoğlu M, Sağlam H. On-line Tool Breakage Detection Using Acoustic Emission, Cutting Force and Temperature Signals in Turning.
  • Usca ÜA, Uzun M, Şap S, Kuntoğlu M, Giasin K, Pimenov DY, et al. Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based ceramic matrix composites. journal of materials research and technology. 2022;16:1243-59.
  • Habib N, Sharif A, Hussain A, Aamir M, Giasin K, Pimenov DY, et al. Analysis of hole quality and chips formation in the dry drilling process of Al7075-T6. Metals. 2021;11(6):891.
  • Binali R, Kuntoğlu M, Pimenov DY, Usca ÜA, Gupta MK, Korkmaz ME. Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends. Measurement. 2022:111757.
  • Gupta MK, Korkmaz ME, Sarıkaya M, Krolczyk GM, Günay M, Wojciechowski S. Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach. Measurement. 2022;188:110594.
  • Asiltürk I, Neşeli S. Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis. Measurement. 2012;45(4):785-94.
  • Neşeli S, Yaldız S, Türkeş E. Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement. 2011;44(3):580-7.
  • Salur E, Aslan A, Kuntoğlu M, Güneş A, Şahin Ö. Optimization of cutting forces during turning of composite materials. Acad Platf J Eng Sci. 2020;8:423-31.
  • Yurtkuran H, Korkmaz ME, Günay M. Modelling and optimization of the surface roughness in high speed hard turning with coated and uncoated CBN insert. Gazi University Journal of Science. 2016;29(4):987-95.
  • Aslan A. Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study. Measurement. 2020;163:107959.
  • Gunay M, Yasar N, Korkmaz ME, editors. Optimization of drilling parameters for thrust force in drilling of AA7075 Alloy. Proceedings of the International Conference on Engineering and Natural Sciences, Sarajevo, Bosnia and Herzegovina; 2016.
  • Asiltürk I, Neşeli S, Ince MA. Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods. Measurement. 2016;78:120-8.
  • Yaşar N, Günay M, Kılık E, Ünal H. Multiresponse optimization of drillability factors and mechanical properties of chitosan-reinforced polypropylene composite. Journal of Thermoplastic Composite Materials. 2022;35(10):1660-82.
  • Korkmaz ME, Günay M. Finite element modelling of cutting forces and power consumption in turning of AISI 420 martensitic stainless steel. Arabian Journal for Science and Engineering. 2018;43(9):4863-70.
  • Işık R, Özlü B, Demir H. St-37 Malzemesinin Lazer ile Kesme İşleminde Seçilen Parametrelerin Etkisinin Deneysel ve İstatiksel Olarak İncelenmesi. Firat University Journal of Engineering. 2021;33(1).

Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron

Yıl 2023, , 55 - 60, 22.06.2023
https://doi.org/10.46810/tdfd.1210013

Öz

Cutting forces in turning have dramatic impact on the cutting stability, tool wear index and surface quality. Machinability of cast iron is important as per this material is served as the main source in manufacturing specific parts of automotive industry. Also, this special material may require final operation to eliminate the manufacturing related defects and residuals. In this context, this study focuses on the optimization and analysis of cutting forces during dry turning of GGG50 material. Thus, Taguchi based experimental design was applied using three levels of cutting speed, feed rate and cutting depth and totally 9 experiments were performed. The discussions on the cutting forces were made based on statistical analysis, optimization approach and graphical presentations. Accordingly, feed rate is the most influentive parameter on cutting forces with the contribution rate about 71.2 %. Cutting speed and depth of cut follows it with the contributions of 21.7 % and 1.5 %. To achieve the minimized cutting forces the parameter group should be; 0.16 mm, 0.2 mm/rev, 80 m/min. This study is expected to be an auxiliary resource for designers and manufacturers in the field to improve the machinability aspects of casted materials.

Kaynakça

  • Kuntoğlu M, Acar O, Gupta MK, Sağlam H, Sarikaya M, Giasin K, et al. Parametric optimization for cutting forces and material removal rate in the turning of AISI 5140. Machines. 2021;9(5):90.
  • Usca ÜA, Uzun M, Kuntoğlu M, Sap E, Gupta MK. Investigations on tool wear, surface roughness, cutting temperature, and chip formation in machining of Cu-B-CrC composites. The International Journal of Advanced Manufacturing Technology. 2021;116(9):3011-25.
  • Salur E. Understandings the tribological mechanism of Inconel 718 alloy machined under different cooling/lubrication conditions. Tribology International. 2022:107677.
  • Binali R, Patange AD, Kuntoğlu M, Mikolajczyk T, Salur E. Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review. Energies. 2022;15(21):8313.
  • Barış Ö, Akgün M, Demir H. AA 6061 Alaşımının tornalanmasında kesme parametrelerinin yüzey pürüzlülüğü üzerine etkisinin analizi ve optimizasyonu. Gazi Mühendislik Bilimleri Dergisi. 2019;5(2):151-8.
  • Grzesik W. Advanced machining processes of metallic materials: theory, modelling and applications: Elsevier; 2008.
  • Binali R, Coşkun M, Neşeli S. An Investigation of Power Consumption in Milling AISI P20 Plastic Mold Steel By Finite Elements Method. Avrupa Bilim ve Teknoloji Dergisi. 2022(34):513-8.
  • Binali R, Yaldız S, Neşeli S. S960QL Yapı Çeliğinin İşlenebilirliğinin Sonlu Elemanlar Yöntemi ile İncelenmesi. Avrupa Bilim ve Teknoloji Dergisi. 2021(31):85-91.
  • Karaman S. Küresel grafitli dökme demirlerin (GGG40, GGG50, GGG60, GGG70) üretim sürecinin ve mekanik özelliklerinin incelenmesi: Trakya Üniversitesi Fen Bilimleri Enstitüsü; 2011.
  • Kaçal A, Gülesin M, Melek F. GGG 40 Küresel grafitli dökme demirlerin ince tornalama operasyonlarında kesme kuvvetlerinin ve yüzey pürüzlülüğünün değerlendirilmesi. Politeknik Dergisi. 2008;11(3):229-34.
  • Şahinoğlu A, Güllü A, Dönertaş MA. GGG50 malzemenin torna tezgâhında işlenmesinde kesme parametrelerinin titreşim, ses şiddeti ve yüzey pürüzlülüğü üzerinde etkisinin araştırılması. Sinop Üniversitesi Fen Bilimleri Dergisi. 2017;2(1):67-79.
  • Mavi A, Korkut I. The effects of austempering temperature and time on the machinability of vermicular graphite iron. Materials Testing. 2014;56(4):289-93.
  • Binali R. Optimization of Parameters Affecting Cutting Temperatures During Turning of GGG50 Cast Iron. 2nd International Conference on Engineering and Applied Natural Sciences2022. p. 652-6.
  • Karabulut Ş, Güllü A. Farklı yanaşma açıları ile vermiküler grafitli dökme demirin frezelenmesinde kesme kuvvetlerinin araştırılması ve analitik modellenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2013;28(1).
  • Düzce R, Samtaş G. GG25 Dökme Demirin Frezelenmesinde Kesme Parametrelerinin Kesme Sıcaklığı Üzerine Etkisi ve Optimizasyonu. İmalat Teknolojileri ve Uygulamaları.2(3):20-33.
  • Ucun İ, Aslantaş K, Taşgetiren S, Gök K. Östemperlenmiş küresel grafitli dökme demirin sinterlenmiş karbür kesici takım ile tornalama işleminde takım performansının incelenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 2007;22(4):739-44.
  • matmatch.com. https://matmatch.com/materials/minfm32356-din-1693-1-grade-ggg-50-cast-condition; 2022 [Available from: https://matmatch.com/materials/minfm32356-din-1693-1-grade-ggg-50-cast-condition.
  • Binali R, Yaldız S, Neseli S. Parametric optimization for machinability parameters of S960QL structural steel during milling by finite elements. Selcuk University Journal of Engineering Sciences. 2022;21(1):26-31.
  • Binali R, Yaldız S, Neşeli S. Investigation of Power Consumption in the Machining of S960QL Steel by Finite Elements Method. European Journal of Technique (EJT). 2022;12(1):43-8.
  • Kıvak T. Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts. Measurement. 2014;50:19-28.
  • Kuntoğlu M. Prediction of progressive tool wear and cutting tool breakageusing acoustic emission and cutting force signals in turning. Msater’s Thesis, Institute of Science and Technology, Selcuk University, Konya, Turkey. 2016.
  • Kuntoğlu M, Sağlam H. On-line Tool Breakage Detection Using Acoustic Emission, Cutting Force and Temperature Signals in Turning.
  • Usca ÜA, Uzun M, Şap S, Kuntoğlu M, Giasin K, Pimenov DY, et al. Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based ceramic matrix composites. journal of materials research and technology. 2022;16:1243-59.
  • Habib N, Sharif A, Hussain A, Aamir M, Giasin K, Pimenov DY, et al. Analysis of hole quality and chips formation in the dry drilling process of Al7075-T6. Metals. 2021;11(6):891.
  • Binali R, Kuntoğlu M, Pimenov DY, Usca ÜA, Gupta MK, Korkmaz ME. Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends. Measurement. 2022:111757.
  • Gupta MK, Korkmaz ME, Sarıkaya M, Krolczyk GM, Günay M, Wojciechowski S. Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach. Measurement. 2022;188:110594.
  • Asiltürk I, Neşeli S. Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis. Measurement. 2012;45(4):785-94.
  • Neşeli S, Yaldız S, Türkeş E. Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement. 2011;44(3):580-7.
  • Salur E, Aslan A, Kuntoğlu M, Güneş A, Şahin Ö. Optimization of cutting forces during turning of composite materials. Acad Platf J Eng Sci. 2020;8:423-31.
  • Yurtkuran H, Korkmaz ME, Günay M. Modelling and optimization of the surface roughness in high speed hard turning with coated and uncoated CBN insert. Gazi University Journal of Science. 2016;29(4):987-95.
  • Aslan A. Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study. Measurement. 2020;163:107959.
  • Gunay M, Yasar N, Korkmaz ME, editors. Optimization of drilling parameters for thrust force in drilling of AA7075 Alloy. Proceedings of the International Conference on Engineering and Natural Sciences, Sarajevo, Bosnia and Herzegovina; 2016.
  • Asiltürk I, Neşeli S, Ince MA. Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods. Measurement. 2016;78:120-8.
  • Yaşar N, Günay M, Kılık E, Ünal H. Multiresponse optimization of drillability factors and mechanical properties of chitosan-reinforced polypropylene composite. Journal of Thermoplastic Composite Materials. 2022;35(10):1660-82.
  • Korkmaz ME, Günay M. Finite element modelling of cutting forces and power consumption in turning of AISI 420 martensitic stainless steel. Arabian Journal for Science and Engineering. 2018;43(9):4863-70.
  • Işık R, Özlü B, Demir H. St-37 Malzemesinin Lazer ile Kesme İşleminde Seçilen Parametrelerin Etkisinin Deneysel ve İstatiksel Olarak İncelenmesi. Firat University Journal of Engineering. 2021;33(1).
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Rüstem Binali 0000-0003-0775-3817

Mustafa Kuntoğlu 0000-0002-7291-9468

Yayımlanma Tarihi 22 Haziran 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Binali, R., & Kuntoğlu, M. (2023). Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron. Türk Doğa Ve Fen Dergisi, 12(2), 55-60. https://doi.org/10.46810/tdfd.1210013
AMA Binali R, Kuntoğlu M. Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron. TDFD. Haziran 2023;12(2):55-60. doi:10.46810/tdfd.1210013
Chicago Binali, Rüstem, ve Mustafa Kuntoğlu. “Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron”. Türk Doğa Ve Fen Dergisi 12, sy. 2 (Haziran 2023): 55-60. https://doi.org/10.46810/tdfd.1210013.
EndNote Binali R, Kuntoğlu M (01 Haziran 2023) Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron. Türk Doğa ve Fen Dergisi 12 2 55–60.
IEEE R. Binali ve M. Kuntoğlu, “Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron”, TDFD, c. 12, sy. 2, ss. 55–60, 2023, doi: 10.46810/tdfd.1210013.
ISNAD Binali, Rüstem - Kuntoğlu, Mustafa. “Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron”. Türk Doğa ve Fen Dergisi 12/2 (Haziran 2023), 55-60. https://doi.org/10.46810/tdfd.1210013.
JAMA Binali R, Kuntoğlu M. Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron. TDFD. 2023;12:55–60.
MLA Binali, Rüstem ve Mustafa Kuntoğlu. “Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron”. Türk Doğa Ve Fen Dergisi, c. 12, sy. 2, 2023, ss. 55-60, doi:10.46810/tdfd.1210013.
Vancouver Binali R, Kuntoğlu M. Evaluation of Machining Parameters Affecting Cutting Forces in Dry Turning of GGG50 Ductile Cast Iron. TDFD. 2023;12(2):55-60.