AISI P20 Kalıp Çeliğinin İşlenmesinde Kesme kuvveti ve Yüzey Pürüzlülüğünü Etkileyen Kesme Parametrelerinin Optimizasyonu
Öz
Bu çalışma, AISI P20 çeliğinin işlenmesinde kesme kuvveti (Fc) ve yüzey pürüzlülüğü (Ra) üzerinde etkili olan kesme parametrelerinin optimize edilmesine odaklanmaktadır. Tornalama deneyleri Taguchi L9 ortogonal dizisine göre üç farklı kesme hızında (Vc) (120, 180 ve 240 m/dak), üç farklı ilerleme hızında (f) (0.12 0.21 ve 0.3 mm/dev) ve üç farklı talaş derinliğinde a) (0,4, 0,8 ve 1,2 mm) CNC torna tezgahında gerçekleştirilmiştir. Kesme parametrelerinin Fc ve Ra üzerindeki etki düzeyleri varyans analizi (Anova) ile belirlenmiştir. Analiz sonuçları, talaş derinliğinin kesme kuvvetini etkileyen en önemli parametre olduğunu, ilerleme hızının ise yüzey pürüzlülüğünü etkileyen en önemli parametre olduğunu göstermektedir. Dahası, analiz sonuçlar, 240 m/dk kesme hızı, 0.12 mm/dev ilerleme hızı ve 0.4 mm talaş derinliği çıktı parametreleri (Fc ve Ra) için optimum kesme parametreleri olduğunu göstermektedir. Optimum kesme parametrelerinde yapılan tornalama deneylerinde en düşük Fc ve Ra değerleri sırasıyla 178N ve 0.412 µm olarak ölçülmüştür.
Anahtar Kelimeler
Kaynakça
- Altan, T., Lilly, B. & Yen, Y. C. Manufacturing of Dies and Molds. CIRP Ann. 50, 404–422 (2001).
- Senevirathne, S. W. M. A. I. & Punchihewa, H. K. G. Reducing surface roughness by varying aerosol temperature with minimum quantity lubrication in machining AISI P20 and D2 steels. Int. J. Adv. Manuf. Technol. 94, 1009–1019 (2018).
- Ravi, S. & Gurusamy, P. Cryogenic machining of AISI p20 steel under liquid nitrogen cooling. Mater. Today Proc. 37, 806–809 (2021).
- Demir, H., Gündüz, S. & Erden, M. A. Influence of the heat treatment on the microstructure and machinability of AISI H13 hot work tool steel. Int. J. Adv. Manuf. Technol. 95, 2951–2958 (2018).
- Aslan, D. & Budak, E. Semi-analytical Force Model for Grinding Operations. Procedia CIRP 14, 7–12 (2014).
- Zeilmann, R. P., Nicola, G. L., Vacaro, T., Teixeira, C. R. & Heiler, R. Implications of the reduction of cutting fluid in drilling AISI P20 steel with carbide tools. Int. J. Adv. Manuf. Technol. 58, 431–441 (2012).
- Outeiro, J. C. Optimization of Machining Parameters for Improved Surface Integrity of AISI H13 Tool Steel. in Machines et Usinage a Grande Vitesse (MUGV) (2012).
- 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 50, 19–28 (2014).
- Kara, F. & Öztürk, B. Comparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steel. Sens. Rev. 39, 24–33 (2019).
- Nas, E. & Özbek, N. A. Optimization of the Machining Parameters in Turning of Hardened Hot Work Tool Steel Using Cryogenically Treated Tools. Surf. Rev. Lett. 1950177, (2019).
- Palanikumar, K. Experimental investigation and optimisation in drilling of GFRP composites. Measurement 44, 2138–2148 (2011).
- Asiltürk, İ. & Akkuş, H. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement (2011) doi: 10.1016/j.measurement.2011.07.003.
- Özlü, B., Demir, H. & Türkmen, M. The effect of mechanical properties and the cutting parameters on machinability of AISI 5140 steel cooled at high cooling rates after hot forging. Politek. Derg. 22, 879–887 (2019).
- Akgün, M., & Kara, F. Analysis and Optimization of Cutting Tool Coating Effects on Surface Roughness and Cutting Forces on Turning of AA 6061 Alloy. Advances in Materials Science and Engineering, 2021, 6498261 (2021).
- Akgün, M., & Demir, H. Optimization of Cutting Parameters Affecting Surface Roughness in Turning of Inconel 625 Superalloy by Cryogenically Treated Tungsten Carbide Inserts. SN Applied Sciences, 3(2), 1-12 (2021).
- Gupta, A., Singh, H. & Aggarwal, A. Taguchi-fuzzy multi output optimization (MOO) in high-speed CNC turning of AISI P-20 tool steel. Expert Syst. Appl. 38, 6822–6828 (2011).
Optimization of Cutting Parameters Affecting Cutting Force and Surface Roughness in Machining of AISI P20 Die Steel
Öz
This study focuses on optimizing cutting parameters effective on cutting force (Fc) and surface roughness (Ra) in the machining of AISI P20 steel. The turning experiments have been performed in CNC lathe at three different cutting speeds (Vc) (120, 180, and 240 m/min), three different feed rates (f) (0.12 0.21 and 0.3 mm/rev), and three different depths of cut (a) (0.4, 0.8, and 1.2 mm) according to Taguchi L9 orthogonal array. The effect levels of the cutting parameters on Fc and Ra have been determined with analysis of variance (Anova). The analysis results indicate that the depth of cut is the most significant parameter affecting Fc while the feed rate is the most significant parameter affecting Ra. Moreover, the result analysis shows that cutting speed of 240 m/min, feed rate of 0.12 mm/rev, and depth of cut of 0.4 mm) factor levels were the optimum cutting parameters for the output parameters (Fc and Ra). In turning experiments performed at optimum cutting parameters, the lowest Fc and Ra values were measured as 178N and 0.412 µm, respectively.
Anahtar Kelimeler
Kaynakça
- Altan, T., Lilly, B. & Yen, Y. C. Manufacturing of Dies and Molds. CIRP Ann. 50, 404–422 (2001).
- Senevirathne, S. W. M. A. I. & Punchihewa, H. K. G. Reducing surface roughness by varying aerosol temperature with minimum quantity lubrication in machining AISI P20 and D2 steels. Int. J. Adv. Manuf. Technol. 94, 1009–1019 (2018).
- Ravi, S. & Gurusamy, P. Cryogenic machining of AISI p20 steel under liquid nitrogen cooling. Mater. Today Proc. 37, 806–809 (2021).
- Demir, H., Gündüz, S. & Erden, M. A. Influence of the heat treatment on the microstructure and machinability of AISI H13 hot work tool steel. Int. J. Adv. Manuf. Technol. 95, 2951–2958 (2018).
- Aslan, D. & Budak, E. Semi-analytical Force Model for Grinding Operations. Procedia CIRP 14, 7–12 (2014).
- Zeilmann, R. P., Nicola, G. L., Vacaro, T., Teixeira, C. R. & Heiler, R. Implications of the reduction of cutting fluid in drilling AISI P20 steel with carbide tools. Int. J. Adv. Manuf. Technol. 58, 431–441 (2012).
- Outeiro, J. C. Optimization of Machining Parameters for Improved Surface Integrity of AISI H13 Tool Steel. in Machines et Usinage a Grande Vitesse (MUGV) (2012).
- 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 50, 19–28 (2014).
- Kara, F. & Öztürk, B. Comparison and optimization of PVD and CVD method on surface roughness and flank wear in hard-machining of DIN 1.2738 mold steel. Sens. Rev. 39, 24–33 (2019).
- Nas, E. & Özbek, N. A. Optimization of the Machining Parameters in Turning of Hardened Hot Work Tool Steel Using Cryogenically Treated Tools. Surf. Rev. Lett. 1950177, (2019).
- Palanikumar, K. Experimental investigation and optimisation in drilling of GFRP composites. Measurement 44, 2138–2148 (2011).
- Asiltürk, İ. & Akkuş, H. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement (2011) doi: 10.1016/j.measurement.2011.07.003.
- Özlü, B., Demir, H. & Türkmen, M. The effect of mechanical properties and the cutting parameters on machinability of AISI 5140 steel cooled at high cooling rates after hot forging. Politek. Derg. 22, 879–887 (2019).
- Akgün, M., & Kara, F. Analysis and Optimization of Cutting Tool Coating Effects on Surface Roughness and Cutting Forces on Turning of AA 6061 Alloy. Advances in Materials Science and Engineering, 2021, 6498261 (2021).
- Akgün, M., & Demir, H. Optimization of Cutting Parameters Affecting Surface Roughness in Turning of Inconel 625 Superalloy by Cryogenically Treated Tungsten Carbide Inserts. SN Applied Sciences, 3(2), 1-12 (2021).
- Gupta, A., Singh, H. & Aggarwal, A. Taguchi-fuzzy multi output optimization (MOO) in high-speed CNC turning of AISI P-20 tool steel. Expert Syst. Appl. 38, 6822–6828 (2011).
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Mühendislik, Malzeme Karekterizasyonu, Malzeme Mühendisliği (Diğer) |
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Erken Görünüm Tarihi | 3 Mart 2022 |
| Yayımlanma Tarihi | 17 Haziran 2022 |
| Gönderilme Tarihi | 21 Aralık 2021 |
| Yayımlandığı Sayı | Yıl 2022 Cilt: 7 Sayı: 1 |
Kaynak Göster
Cited By
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