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Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel
Öz
In the present study, drilling tests were carried out on Custom 450 stainless steel workpieces. The influences of control factors (cutting speed-Vc, feed rate-f and drill bit geometry-D) on the drilled holes’ surface roughness (Ra) and on the size of adhering workpiece (AW) to the drill bit was examined. The results obtained from tests designed based on the Taguchi’s L16 orthogonal array were analysed using ANOVA and grey relational analyses (GRA). Therefore, the control factors and their levels were optimised simultaneously for the quality characteristics (Ra and AW). In addition, mathematical models were also developed using Response Surface Methodology (RSM) in order to estimate the quality characteristics. The used drill bits were examined under digital and scanning electron microscopes and EDX analysis was also carried out on the drill bits. The experimental results showed that the Ra and AW increased with increasing the f. It was also seen that increasing the Vc resulted in decrease in the size of adhering layer and that the drill bit wear became clear at the highest Vc of 60 m/min. According to the ANOVA results, the most effective control factor on Ra was f with 93.11% and Vc with 58.14% on AW. GRA analysis revealed that the most influential control factor was the f and that the optimum levels were 60 m/min Vc, 0.005 m/min f and drill bit 4.
Anahtar Kelimeler
Destekleyen Kurum
Çankırı Karatekin University
Proje Numarası
MYO801202B33
Teşekkür
The authors would like to thank Çankırı Karatekin University for provision of funding with the Project MYO801202B33.
Kaynakça
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- 2. J.D. Darwin, D.M. Lal, G. Nagarajan, Optimization of cryogenic treatment to maximize the wear resistance of 18%Cr martensitic stainless steel, Journal of Materials Processing Technology, 195: 241-247, 2008.
- 3. J.C. Outeiro, D. Umbrello, R. M'Saoubi, Experimental and numerical modelling of the residual stresses induced in orthogonal cutting of AISI 316L steel, International Journal of Machine Tools and Manufacture, 46: 1786-1794, 2006.
- 4. Ö. Tekaslan, N. Gerger, U. Şeker, AISI 304 östenitik paslanmaz çeliklerde kesme parametrelerine bağlı olarak yüzey pürüzlülüklerinin araştırılması, Balıkesir Üniversitesi FBE Dergisi, 10(2): 3-12, 2008.
- 5. H. Gökçe, Optimization of cutting tool and cutting parameters in face milling of Custom 450 through the Taguchi method, Advances in Materials Science and Engineering, 1-11, 2019.
- 6. Internet:https://www.spacematdb.com/spacemat/manudatasheets/custom%20450.pdf
- 7. A. Uysal, Investigation of cutting temperature in minimum quantity lubrication milling of ferritic stainless steel by using multi wall carbon nanotube reinforced cutting fluid, Journal of the Faculty of Engineering and Architecture of Gazi University, 32(3): 645-650, 2017.
- 8. N.A. Özbek, A. Çiçek, M. Gülesin, O. Özbek, AISI 304 ve AISI 316 östenitik paslanmaz çeliklerin işlenebilirliğinin değerlendirilmesi, Journal of Polytechnic, 20(1): 43-49, 2017.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Üretim ve Endüstri Mühendisliği
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
30 Nisan 2023
Yayımlanma Tarihi
30 Nisan 2023
Gönderilme Tarihi
23 Ocak 2023
Kabul Tarihi
27 Mart 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 4 Sayı: 1
APA
Gökçe, H., & Çiftçi, İ. (2023). Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel. Manufacturing Technologies and Applications, 4(1), 11-24. https://doi.org/10.52795/mateca.1238328
AMA
1.Gökçe H, Çiftçi İ. Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel. MATECA. 2023;4(1):11-24. doi:10.52795/mateca.1238328
Chicago
Gökçe, Hüseyin, ve İbrahim Çiftçi. 2023. “Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel”. Manufacturing Technologies and Applications 4 (1): 11-24. https://doi.org/10.52795/mateca.1238328.
EndNote
Gökçe H, Çiftçi İ (01 Nisan 2023) Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel. Manufacturing Technologies and Applications 4 1 11–24.
IEEE
[1]H. Gökçe ve İ. Çiftçi, “Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel”, MATECA, c. 4, sy 1, ss. 11–24, Nis. 2023, doi: 10.52795/mateca.1238328.
ISNAD
Gökçe, Hüseyin - Çiftçi, İbrahim. “Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel”. Manufacturing Technologies and Applications 4/1 (01 Nisan 2023): 11-24. https://doi.org/10.52795/mateca.1238328.
JAMA
1.Gökçe H, Çiftçi İ. Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel. MATECA. 2023;4:11–24.
MLA
Gökçe, Hüseyin, ve İbrahim Çiftçi. “Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel”. Manufacturing Technologies and Applications, c. 4, sy 1, Nisan 2023, ss. 11-24, doi:10.52795/mateca.1238328.
Vancouver
1.Hüseyin Gökçe, İbrahim Çiftçi. Mathematical Modelling and Multiresponse Optimization to Minimize Surface Roughness in Drilling Custom 450 Stainless Steel. MATECA. 01 Nisan 2023;4(1):11-24. doi:10.52795/mateca.1238328
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Application of a hybrid two-stage optimization framework for sustainable machining: a case study
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https://doi.org/10.1007/s00170-024-14871-3