EN
TR
Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material
Öz
In this study, it is intended to determine the most suitable process parameters for surface roughness and cutting energy of the 7075 series aluminum material in dry environment conditions by using Taguchi method in CNC milling. The process parameters were determined as, cutting speed, feed rate and cutting depth and the effects of these parameters on surface roughness, current flow through the grid and the energy consumed were examined. As a result, optimum process parameters were determined and the results were analyzed by graphs. It was observed that the most effective parameter on the surface roughness was the feed rate, while the most effective parameter on the current drawn from the network was the cutting depth. As a result of the experiments, the best surface roughness value was found to be 0.39 µm and the lowest current value was 0.9 A. In addition, considering the determined current amount and processing time, the lowest energy amount consumed was calculated as 7089.28 J.
Anahtar Kelimeler
Kaynakça
- 1. Bhushan, R.K., 2013. Optimization of Cutting Parameters for Minimizing Power Consumption and Maximizing Tool Life During Machining of Al Alloy SiC Particle Composites, Journal of Cleaner Production 32, 242-254. doi.org/10.1016/j.jclepro.2012.08.008.
- 2. Zhang, J.Z., Chen, J.C., Kirby, E.D., 2007. Surface Roughness Optimization in an End- milling Operation Using the Taguchi Design Method, Journal of Materials Processing Technology 184, 233-239. doi.org/10.1016/j.jmatprotec.2006.11.029.
- 3. Tsai, Y.H., Chen, J.C., Lou, S.J., 1999. In Process Surface Recognition System Based on Neural Networks in End Milling Cutting Operations, International Journal of Machine Tools and Manufacture 39, 583-605. doi.org/10.1016/S0890-6955(98)00053-4.
- 4. Vardhan, M.V., Sankaraiah, G., Yohan, M., Rao, H.J., 2017. Optimization of Parameters in CNC Milling of P20 Steel Using Response Surface Methodology and Taguchi Method, Materials Today:Proceedings 4, 9163-9169. doi.org/10.1016/j.matpr.2017.07.273.
- 5. Nian, C.Y., Yang, W.H., Tarng, Y.S., 1999. Optimization of Turning Operations with Multiple Performance Characteristics, Journal of Material Processing Technology 95, 90-96. doi.org/10.1016/S0924-0136(99)00271-X.
- 6. Gajjal, S.Y., Unkule, A.J., Gajjal, P.S., 2018. Taguchi Technique for Dry Sliding Wear Behavior of Peek Composite Materials, Materials Today: Proceedings 5, 950-957. doi.org/10.1016/j.matpr.2017.11.170.
- 7. Ghani, J.A., Choudhury, I.A., Hassan, H.H., 2004. Application of Taguchi Method in the Optimization of End Milling Parameters, Journal of Materials Processing Technology 145, 84-92. doi.org/10.1016/S0924- 0136(03)00865-3.
- 8. Park, S.H., 1996. Robust Design and Analysis for Quality Engineering, Chapman&Hall, London, England.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Haziran 2020
Gönderilme Tarihi
17 Mart 2020
Kabul Tarihi
30 Temmuz 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 35 Sayı: 2
APA
Pınarbaşı, A., Külekçi, M. K., Boğa, C., & Eşme, U. (2020). Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 35(2), 345-356. https://doi.org/10.21605/cukurovaummfd.792420
AMA
1.Pınarbaşı A, Külekçi MK, Boğa C, Eşme U. Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material. cukurovaummfd. 2020;35(2):345-356. doi:10.21605/cukurovaummfd.792420
Chicago
Pınarbaşı, Ali, Mustafa Kemal Külekçi, Cem Boğa, ve Uğur Eşme. 2020. “Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material”. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 35 (2): 345-56. https://doi.org/10.21605/cukurovaummfd.792420.
EndNote
Pınarbaşı A, Külekçi MK, Boğa C, Eşme U (01 Haziran 2020) Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 35 2 345–356.
IEEE
[1]A. Pınarbaşı, M. K. Külekçi, C. Boğa, ve U. Eşme, “Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material”, cukurovaummfd, c. 35, sy 2, ss. 345–356, Haz. 2020, doi: 10.21605/cukurovaummfd.792420.
ISNAD
Pınarbaşı, Ali - Külekçi, Mustafa Kemal - Boğa, Cem - Eşme, Uğur. “Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material”. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 35/2 (01 Haziran 2020): 345-356. https://doi.org/10.21605/cukurovaummfd.792420.
JAMA
1.Pınarbaşı A, Külekçi MK, Boğa C, Eşme U. Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material. cukurovaummfd. 2020;35:345–356.
MLA
Pınarbaşı, Ali, vd. “Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material”. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, c. 35, sy 2, Haziran 2020, ss. 345-56, doi:10.21605/cukurovaummfd.792420.
Vancouver
1.Ali Pınarbaşı, Mustafa Kemal Külekçi, Cem Boğa, Uğur Eşme. Optimization of the Effect of Processing Parameters on Surface Roughness and Cutting Energy in CNC Milling of Al-7075 Material. cukurovaummfd. 01 Haziran 2020;35(2):345-56. doi:10.21605/cukurovaummfd.792420
Cited By
Structural design of the electric vehicle components using Runge-Kutta optimization algorithm
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi
https://doi.org/10.21605/cukurovaumfd.1770296Optimization of Vertical Machining Parameters of DIN 1.0038 Steels Using Hybrid Taguchi Based Grey-Fuzzy Algorithm in CNC Pocket Milling Process
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi
https://doi.org/10.21605/cukurovaumfd.1706626