Optimisation and influence of cutting parameters on surface roughness during turning of astm b574 (hastelloy c-22) using a hybrid of Taguchi and rsm methods

Year 2018, , 761 - 771, 01.04.2018

Gültekin Basmacı , İsmail Kırbaş , Mustafa Ay , Musa Peker

https://doi.org/10.16984/saufenbilder.353379

Cited By: 4

Abstract

In this
study, the impact of cutting parameters (depth-of-cut, cutting speed, feed,
flow, rake angle, lead angle) on surface roughness in the turning process with
regard to ASTM B574 (Hastelloy C-22) material has been investigated. Variance
analysis (ANOVA) has been applied in order to determine the factors affecting
the surface roughness. The optimization of the parameters affecting the surface
roughness has been obtained using Response Surface Methodology (RSM) based on
the Taguchi orthogonal experimental design. The accuracy required for surface roughness
and temperature estimation of the developed models is quite successful. As a
criterion, when the value of R² is used, 93.85% accuracy value is
obtained for the average Ra surface roughness. As a result of ANOVA analysis,
the most effective parameters for Ra were determined as cutting speed, lead
angle, rake angle and flow rate, respectively, at 95% confidence interval and
optimal cut parameter values were determined for the lowest surface roughness
ratio.

Keywords

Response Surface Methodology, Taguchi Method, Variance Analysis (ANOVA), ASTM B574 (Hastelloy C-22), Cutting Parameters, Surface Roughness, Parameter Optimisation

Karma Taguchi ve yüzey yanıt yöntemi kullanılarak astm b574 (hastelloy c-22)'in tornalanması esnasındaki işleme parametrelerinin yüzey pürüzlülüğüne etkisinin incelenmesi ve kesme parametrelerinin optimizasyonu

Abstract

Bu çalışmada ASTM B574
(Hastelloy C-22) malzemesi üzerinde tornalama işlemi sonrasında kesme
parametrelerinin (kesme derinliği, kesme hızı, radius, ilerleme hızı, debi,
talaş açısı, yanaşma açısı) yüzey pürüzlüğü ve sıcaklık üzerindeki etkileri
incelenmiştir. Kesme parametrelerini etkileyen faktörleri belirlemek için varyans
analizi (ANOVA) uygulanırken, yüzey pürüzlülüğünü etkileyen parametrelerin
optimizasyonu Taguchi ortogonal deney tasarımına dayanan Tepki Yüzeyi
Metodolojisi (RSM) ile elde edilmiştir. Geliştirilen modellerin yüzey pürüzlülüğü
ve sıcaklık tahmini için gerekli olan doğruluğu oldukça başarılıdır. Ölçüt
olarak  değerinin kullanıldığı çalışmada ortalama Ra yüzey
pürüzlüğü için %93.85, doğruluk değeri elde edilmiştir. ANOVA analizleri
sonucunda %95 güven aralığında, Ra için en etkili parametreler sırasıyla kesme
hızı, yanaşma açısı, talaş açısı ve debi olarak tespit edilmiş ve en düşük
yüzey pürüzlüğü oranı için en uygun kesme parametre değerleri belirlenmiştir. 

Keywords

Tepki Yüzeyi Metodolojisi, Taguchi Metodu, Varyans Analizi (ANOVA), ASTM B574 (Hastelloy C-22), Kesme Parametreleri, Yüzey Pürüzlülüğü, Parametre Optimizasyonu

References

• Referans 1. Gok, A. A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA.Measurement, 70, 100-109, 2015.
• Referans 2. Abou-El-Hossein, K. A., Kadirgama, K., Hamdi, M., & Benyounis, K. Y. Prediction of cutting force in end-milling operation of modified AISI P20 tool steel. Journal of Materials Processing Technology, 182(1), 241-247, 2007.
• Referans 3. Zhao, H., Li, J.G., Yao, Y.X. ve Liu, C.Q. “Cutting Parameters Optimization for Constant Cutting Force in Milling, Applied Mechanics and Materials, Vol. 10(12), 483-487, 2008.
• Referans 4. Wang, Z.J., Sun, F.H. ve Zhao, G.W. Optimization of Cutting Force by Exponential Model in Milling Heat-Resistant Steel F91, Advanced Materials Research, 53-54, 397, 2008.
• Referans 5. Çalışkan, H., Kurbanoğlu, C., Panjan, P. ve Kramar, D. “Investigation of the performance of carbide cutting tools with hard coatings in hard milling based on the response surface methodology”, Int J Adv Manuf Technology, DOI 10.1007/s00170-012-4374-y. 2012.
• Referans 6. Aggarwal, A., Singh, H., Kumar, P. ve Singh. M. “Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique-A comparative analysis”, J. Mat. Processing Technology, Vol. 200, 373-384, 2008.
• Referans 7. Bouacha, K., Yallese, M. A., Mabrouki, T., & 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.
• Referans 8. A. Devillez, F. Schneider, S. Dominiak, D. Dudzinski, D. Larrouquere, Cutting forces and wear in dry machining of Inconel 718 with coated carbide tools, Wear, 262 pp. 931–942, 2007.
• Referans 9. Malagi R.R. and B.C. Rajesh,”Factors Influencing Cutting Forces in Turning and Development of Software to Estimate Cutting Forces in Turning”, International Journal of Engineering and Innovative Technology; Vol. 2; Issue 1; pp 37-43, 2012.
• Referans 10. Gök, A., A New Approach to Minimization of the Surface Roughness and Cutting Force via Fuzzy TOPSIS, Multi-Objective Grey Design and RSA, Measurement, 70, 100-109, DOI: 10.1016/j.measurement.2015.03.037, 2015.
• Referans 11. Betteridge, W., Heslop, J., The Nimonic Alloys, and Other Nickel-Base High Temprature Alloys, New York. 29, 1974.
• Referans 12. Asiltürk, İ., Neşeli, S., & İnce, 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.
• Referans 13. G. Taguchi, E. Elsayed, T. Hsiang, Quality Engineering in Production Systems, McGraw-Hill, New York, 1989.