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HADDELEME İŞLEMİNİN YÜZEY YANIT YÖNTEMİ İLE ANALİZİ

Year 2016, Volume: 4 Issue: 4, 275 - 283, 21.12.2016

Fikret Sönmez , Hüdayim Başak , Şehmus Baday

Abstract

Çeşitli imalat işlemleri uygulanan makine parçaları kullanılmadan önce sonlandırma operasyonlarına tabii tutulurlar. Talaş kaldırmaksızın yapılan ve bir sonlandırma operasyonu olarak öne çıkan haddeleme işlemi parçaların yüzey pürüzlülüğünü azaltmak için kullanılan bir sonlandırma operasyonudur. Bu çalışmada Al-6061 dönel parçaların haddelenmesi sonucunda ortaya çıkan yüzey pürüzlülüğü değerleri incelenmiştir. Alüminyum malzemeler haddeleme kuvveti, ilerleme hızı ve paso sayısı parametrelerine bağlı olarak haddelenmiş ve elde edilen sonuçlar yüzey yanıt yöntemi (YYY) ile değerlendirilmiştir.  YYY ile haddeleme parametrelerinin etkinlikleri araştırılmış ve lineer ve ikinci dereceden matematiksel modeller ile sonuçlar ortaya konmuştur. Oluşturulan model ile yapılan tahminlerin deney sonuçları ile tutarlılığı ve optimum deney parametreleri incelenmiştir. Deney sonuçları kullanılarak oluşturulan ikinci derecedeki modelin tahmin ettiği değerler incelenmiştir. Oluşturulan modelin tahmin ettiği değerler ile gerçek deney değerleri karşılaştırıldığında R2 değeri 0,891 olarak hesaplanmıştır. Sonuç olarak YYY ile oluşturulan model ile gerçek değerlere yakın tahminler elde edilebilmektedir.

Keywords

Yüzey Yanıt Yöntemi Haddeleme Yüzey Pürüzlülüğü

References

  • El-Axir M.H., “An Investigation Into Burnishing Process”, International Journal of Machine Tools & Manufacture, 40 (11), 1603–1617, 2000.
  • Khabeery M.M. and El-Axir M.H., “Experimental Techniques for Studying The Effects of Milling Roller-Burnishing Parameters on Surface Integrity”, International Journal of Machine Tools & Manufacture, 41(12), 1705–1719, 2001.
  • Hassan A.M. and Al-Dhifi S.Z.S., “Improvement in the Wear Resistance of Brass Components By The Ball Burnishing Process”, Journal of Materials Processing Technology, 96(1-3), 73-80, 1999.
  • Hassan A.D. and Maqableh A.M., “The Effects of Initial Burnishing Parameters on Non-Ferrous Components”, Journal of Materials Processing Technology, 102(1-3), 115-121, 2000.
  • Korzynski M., “A Model of Smoothing Slide Ball-Burnishing and an Analysis of the Parameter Interaction”, Journal of Materials Processing Technology, 209, 625–633, 2009.
  • El-Axir M.H., Othman O.M. and Abodiena A.M., ”Improvements in Out-Of-Roundness and Microhardness of Inner Surfaces by Internal Ball Burnishing Process”, Journal of Materials Processing Technology, 196, 120–128, 2008.
  • Basak H. ve Sonmez F., “Haddeleme İşleminde Haddeleme Aparat Tipinin (Bilyeli, Makaralı, Çift Makaralı) Yüzey Pürüzlülüğü ve Yüzey Sertliğine Etkilerinin İncelenmesi”, Journal of Polytechnic, 18 (3), 25-132, 2015.
  • Filho S.L.M.R., Lauro C.H., Bueno A.H.S. and Brandao L.C., “Influence Cutting Parameters on The Surface Quality and Corrosion Behavior of Ti-6al-4v Alloy in Synthetic Body Environment (SBF) Using Response Surface Method”, Measurement, 88, 223–237, 2016.
  • Kumar R. and Chauhan S., “Study on Surface Roughness Measurement for Turning ff Al 7075/10/ Sicp and Al 7075 Hybrid Composites by Using Response Surface Methodology ( RSM ) and Artificial Neural Networking”, Measurement, 65, 166–180, 2015.
  • Asiltürk I., Neşeli S. and Ince M.A., “Optimisation of Parameters Affecting Surface Roughness of Co28cr6mo Medical Material During CNC Lathe Machining By Using the Taguchi and RSM Methods”, Measurement, 78, 120–128, 2016.
  • Masmiati N., Sarhan A.A.D., Hassan M.A.N. and Hamdi M., “Optimization of Cutting Conditions for Minimum Residual Stress, Cutting Force and Surface Roughness in End Milling of S50c Medium Carbon Steel”, Measurement, 86, 253–265, 2016.
  • Karkalos N.E., Galanis N.I. and Markopoulos A.P., “Surface Roughness Prediction for The Milling of Ti–6Al–4V ELI Alloy with the Use of Statistical and Soft Computing Techniques”, Measurement, 90, 25–35, 2016.
  • Bouacha K., Yallese M.A., Mabrouki T. and Rigal J.F., “Statistical Analysis of Surface Roughness and Cutting Forces Using Response Surface Methodology in Hard Turning of AISI 52100 Bearing Steel with CBN Tool”, International Journal of Refractory Metals and Hard Materials, 28 (3), 349–361, 2010.
  • Suresh R., Basavarajappa S., Gaitonde V.N. and Samuel G.L., “Machinability Investigations on Hardened AISI 4340 Steel Using Coated Carbide Insert”, International Journal of Refractory Metals and Hard Materials, 33, 75–86, 2012.
  • Sagbas A., “Analysis and Optimization of Surface Roughness in the Ball Burnishing Process Using Response Surface Methodology and Desirabilty Function”, Advances in Engineering Software, 42 (11), 992–998, 2011.
  • Venkatesan K., Ramanujam R., Joel J., Jeyapandiarajan P., Vignesh M., Tolia D.J. and Krishna R.V., “Study of Cutting Force and Surface Roughness in Machining of AL Alloy Hybrid Composite and Optimized Using Response Surface Methodology”, Procedia Engineering, 97, 677–686, 2014.
  • Patel K.A. and Brahmbhatt P.K., “A Comparative Study of the RSM and ANN Models for Predicting Surface Roughness in Roller Burnishing”, Procedia Technology, 23, 391–397, 2016.
  • Ekı̇cı̇ E., Uzun G. and Kıvak T., “Evaluation of the Effects of Cutting Parameters on the Surface Roughness During the Turning of Hadfield Steel with Response Surface Methodology”, Uludağ University Journal of The Faculty of Engineering , 19 (2), 19–28, 2014.
  • Aouici H., Yallese M.A., Fnides B., Chaoui K. and Mabrouki T., “Modeling and Optimization of Hard Turning of X38CrMoV5-1 Steel with CBN Tool: Machining Parameters Effects on Flank Wear and Surface Roughness”, Journal of Mechanical Science and Technology, 25 (11), 2843–2851, 2011.
  • Gupta A.K., “Predictive Modelling of Turning Operations Using Response Surface Methodology, Artificial Neural Networks and Support Vector Regression”, International Journal of Production Research, 48 (3), 763–778, 2010.
  • Özçakar N. and Kasapoğlu Ö.A., “Modelling of Surface Roughness in Machining”, Yönetim, 64, 27–40, 2009.
  • Sönmez F., Haddeleme İşleminin Yüzey Pürüzlülüğü ve Yüzey Sertliğine Etkilerinin İncelenmesi, Yüksek Lisans Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, 2009.
  • Montgomery D.C., Design and Analysis of Experiments, Wiley, New York, 2004.
  • Rao R.V., Advanced Modeling and Optimization of Manufacturing Processes, Springer, London, 2011
  • Myres R.H., Montgomery D.C. and Anderson-Cook C.M., Response Surface Methodology, Wiley, New York, 2009.

Year 2016, Volume: 4 Issue: 4, 275 - 283, 21.12.2016

Fikret Sönmez , Hüdayim Başak , Şehmus Baday

Abstract

References

  • El-Axir M.H., “An Investigation Into Burnishing Process”, International Journal of Machine Tools & Manufacture, 40 (11), 1603–1617, 2000.
  • Khabeery M.M. and El-Axir M.H., “Experimental Techniques for Studying The Effects of Milling Roller-Burnishing Parameters on Surface Integrity”, International Journal of Machine Tools & Manufacture, 41(12), 1705–1719, 2001.
  • Hassan A.M. and Al-Dhifi S.Z.S., “Improvement in the Wear Resistance of Brass Components By The Ball Burnishing Process”, Journal of Materials Processing Technology, 96(1-3), 73-80, 1999.
  • Hassan A.D. and Maqableh A.M., “The Effects of Initial Burnishing Parameters on Non-Ferrous Components”, Journal of Materials Processing Technology, 102(1-3), 115-121, 2000.
  • Korzynski M., “A Model of Smoothing Slide Ball-Burnishing and an Analysis of the Parameter Interaction”, Journal of Materials Processing Technology, 209, 625–633, 2009.
  • El-Axir M.H., Othman O.M. and Abodiena A.M., ”Improvements in Out-Of-Roundness and Microhardness of Inner Surfaces by Internal Ball Burnishing Process”, Journal of Materials Processing Technology, 196, 120–128, 2008.
  • Basak H. ve Sonmez F., “Haddeleme İşleminde Haddeleme Aparat Tipinin (Bilyeli, Makaralı, Çift Makaralı) Yüzey Pürüzlülüğü ve Yüzey Sertliğine Etkilerinin İncelenmesi”, Journal of Polytechnic, 18 (3), 25-132, 2015.
  • Filho S.L.M.R., Lauro C.H., Bueno A.H.S. and Brandao L.C., “Influence Cutting Parameters on The Surface Quality and Corrosion Behavior of Ti-6al-4v Alloy in Synthetic Body Environment (SBF) Using Response Surface Method”, Measurement, 88, 223–237, 2016.
  • Kumar R. and Chauhan S., “Study on Surface Roughness Measurement for Turning ff Al 7075/10/ Sicp and Al 7075 Hybrid Composites by Using Response Surface Methodology ( RSM ) and Artificial Neural Networking”, Measurement, 65, 166–180, 2015.
  • Asiltürk I., Neşeli S. and Ince M.A., “Optimisation of Parameters Affecting Surface Roughness of Co28cr6mo Medical Material During CNC Lathe Machining By Using the Taguchi and RSM Methods”, Measurement, 78, 120–128, 2016.
  • Masmiati N., Sarhan A.A.D., Hassan M.A.N. and Hamdi M., “Optimization of Cutting Conditions for Minimum Residual Stress, Cutting Force and Surface Roughness in End Milling of S50c Medium Carbon Steel”, Measurement, 86, 253–265, 2016.
  • Karkalos N.E., Galanis N.I. and Markopoulos A.P., “Surface Roughness Prediction for The Milling of Ti–6Al–4V ELI Alloy with the Use of Statistical and Soft Computing Techniques”, Measurement, 90, 25–35, 2016.
  • Bouacha K., Yallese M.A., Mabrouki T. and Rigal J.F., “Statistical Analysis of Surface Roughness and Cutting Forces Using Response Surface Methodology in Hard Turning of AISI 52100 Bearing Steel with CBN Tool”, International Journal of Refractory Metals and Hard Materials, 28 (3), 349–361, 2010.
  • Suresh R., Basavarajappa S., Gaitonde V.N. and Samuel G.L., “Machinability Investigations on Hardened AISI 4340 Steel Using Coated Carbide Insert”, International Journal of Refractory Metals and Hard Materials, 33, 75–86, 2012.
  • Sagbas A., “Analysis and Optimization of Surface Roughness in the Ball Burnishing Process Using Response Surface Methodology and Desirabilty Function”, Advances in Engineering Software, 42 (11), 992–998, 2011.
  • Venkatesan K., Ramanujam R., Joel J., Jeyapandiarajan P., Vignesh M., Tolia D.J. and Krishna R.V., “Study of Cutting Force and Surface Roughness in Machining of AL Alloy Hybrid Composite and Optimized Using Response Surface Methodology”, Procedia Engineering, 97, 677–686, 2014.
  • Patel K.A. and Brahmbhatt P.K., “A Comparative Study of the RSM and ANN Models for Predicting Surface Roughness in Roller Burnishing”, Procedia Technology, 23, 391–397, 2016.
  • Ekı̇cı̇ E., Uzun G. and Kıvak T., “Evaluation of the Effects of Cutting Parameters on the Surface Roughness During the Turning of Hadfield Steel with Response Surface Methodology”, Uludağ University Journal of The Faculty of Engineering , 19 (2), 19–28, 2014.
  • Aouici H., Yallese M.A., Fnides B., Chaoui K. and Mabrouki T., “Modeling and Optimization of Hard Turning of X38CrMoV5-1 Steel with CBN Tool: Machining Parameters Effects on Flank Wear and Surface Roughness”, Journal of Mechanical Science and Technology, 25 (11), 2843–2851, 2011.
  • Gupta A.K., “Predictive Modelling of Turning Operations Using Response Surface Methodology, Artificial Neural Networks and Support Vector Regression”, International Journal of Production Research, 48 (3), 763–778, 2010.
  • Özçakar N. and Kasapoğlu Ö.A., “Modelling of Surface Roughness in Machining”, Yönetim, 64, 27–40, 2009.
  • Sönmez F., Haddeleme İşleminin Yüzey Pürüzlülüğü ve Yüzey Sertliğine Etkilerinin İncelenmesi, Yüksek Lisans Tezi, Gazi Üniversitesi Fen Bilimleri Enstitüsü, 2009.
  • Montgomery D.C., Design and Analysis of Experiments, Wiley, New York, 2004.
  • Rao R.V., Advanced Modeling and Optimization of Manufacturing Processes, Springer, London, 2011
  • Myres R.H., Montgomery D.C. and Anderson-Cook C.M., Response Surface Methodology, Wiley, New York, 2009.
There are 25 citations in total.

Details

Journal Section Original Articles
Authors

Fikret Sönmez

Hüdayim Başak

Şehmus Baday

Publication Date December 21, 2016
Submission Date July 28, 2016
Published in Issue Year 2016 Volume: 4 Issue: 4

Cite

APA Sönmez, F., Başak, H., & Baday, Ş. (2016). HADDELEME İŞLEMİNİN YÜZEY YANIT YÖNTEMİ İLE ANALİZİ. Gazi University Journal of Science Part C: Design and Technology, 4(4), 275-283.

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