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The Effect of Feed and Depth of Cut Parameters on Surface Roughness and Chip Morphology in X2CrNiMoN2253 Duplex Stainless Steel Materials

Yıl 2024, Cilt: 14 Sayı: 1, 69 - 75, 30.06.2024
https://doi.org/10.36222/ejt.1456172

Öz

Machining is one of the primary methods used to produce precision machine parts.
Machining operations are influenced by many parameters. The most important of these parameters are feed and depth of cut. In addition, as a function of these parameters, many technical characteristics, particularly surface roughness, of the parts produced by machining change. For this reason, it is very important to monitor the machining parameters of the workpieces to be machined and to change them if necessary. Workpieces from many different groups of materials can be machined, but it is more important to monitor and control the machining parameters in stainless steels, which are classified as difficult-tomachine materials. In this study, the optimum machining conditions were investigated to obtain the lowest surface roughness values on stainless steel materials (X2CrNiMoN2253).
The experiments were started with two different depths of cut (0.8 mm -1 mm) and three different feeds (0.1 mm/rev - 0.15 mm/rev and 0.2 mm/rev). It is understood that the feed is highly foremost on the surface roughness and changes the experimental results up to three times, however, the effect of cutting depth was limited. In the experiments, the best experimental results were obtained under 0.1 mm/rev feed. For a detailed analysis of the effect of the depths of cut values on the surface roughness, three additional depths of cut values (1.25 mm-1.5 mm-1.75 mm) were used under 0.1 mm/rev feed. In these additional experiments, it was observed that the effect of cutting depth was still limited, and the surface quality deteriorated with increasing cutting depth.

Kaynakça

  • [1] Stephenson DA., Agapiou JS. Metal cutting theory and practice. 2nd ed. Florida, USA, CRC press, 2018.
  • [2] Tzotzis, A., García-Hernández, C., Huertas-Talón, J.L., Kyratsis, P., 3D FE Modelling of Machining Forces during AISI 4140 Hard Turning. Strojniški vestnik – Journal of Mechanical Engineering, 66 (7-8), pp. 467-478, (2020), doi: 10.5545/sv-jme.2020.6784.
  • [3] Valić GS, Kostadin T, Cukor G, Fabić M. Sustainable Machining: MQL Technique Combined with the Vortex Tube Cooling When Turning Martensitic Stainless Steel X20Cr13. Machines, 11 (3), pp 1-22, (2023), doi: 10.3390/machines11030336.
  • [4] Subbaiah, K.V., Raju, C., Suresh, C., Parametric analysis and optimization of hard turning at different levels of hardness using wiper ceramic insert. Measurement, 158, pp. 1-13 (2020), doi: 10.1016/j.measurement.2020.107712.
  • [5] Santhanakumar, M., Adalarasan, R., Siddharth, S., Velayudham, A., An investigation on surface finish and flank wear in hard machining of solution treated and aged 18 % Ni maraging steel. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39 (6), pp. 2071-2084, (2016), doi: 10.1007/s40430-016-0572-0.
  • [6] Rashid, W.B., Goel, S., Davim, J.P., Joshi, S.N., Parametric design optimization of hard turning of AISI 4340 steel (69 HRC). The International Journal of Advanced Manufacturing Technology, 82 (1-4), pp. 451-462, (2015), doi: 10.1007/s00170-015-7337-2.
  • [7] Pekşen, H., Kalyon, A., Optimization and measurement of flank wear and surface roughness via Taguchi based grey relational analysis. Materials and Manufacturing Processes, 36 (16), pp. 1865-1874, (2021), doi: 10.1080/10426914.2021.1926497.
  • [8] Ebrahimi, S.M., Hadad, M., Araee, A., Sustainable machining of hardened AISI630 stainless steel using thermally enhanced turning technique. Machining Science and Technology, 25 (4), pp. 608-636, (2021), doi: 10.1080/10910344.2021.1903922.
  • [9] Risco-Alfonso, R., Pérez-Rodríguez, R., Robledo, P.D.C., Santana, M.R., Quiza, R., Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear. Metals, 11 (11), pp. 1968, (2021), doi: 10.3390/met11111698.
  • [10] Chen, J., Wang, Y., Zhang, Y., Yang, S., Zhang, X., Investigation on Tool Wear Mechanism during dry cutting 304 Stainless Steel, Manufacturing Technology. 20 (1), pp. 36-44, (2020), doi: 10.21062/mft.2020.011.
  • [11] He, Q., DePaiva, J.M., Kohlscheen, J., Veldhuis, S.C., Analysis of the performance of PVD AlTiN coating with five different Al/Ti ratios during the high-speed turning of stainless steel 304 under dry and wet cooling conditions. Wear, 492-493, pp. 204-213, (2022), doi: 10.1016/j.wear.2021.204213.
  • [12] Derani, M.N., Ratnam, M.M., Nasir, R.M., Improved measure of workpiece surface deterioration during turning using non-contact vision method". Precision Engineering, 68, pp. 273-284, (2021), doi: 10.1016/j.precisioneng.2020.12.016.
  • [13] Szczotkarz, N., Mrugalski, R., Maruda, R.W., Królczyk, G.M., Legutko, S., Leksycki, K., Dębowski, D., Pruncu, C.I., Cutting tool wear in turning 316L stainless steel in the conditions of minimized lubrication. Tribology International, 156, pp. 1-11, (2021), doi: 10.1016/j.triboint.2020.106813.
  • [14] Asiltürk, İ., Kuntoğlu, M., Binali, R., Akkuş, H., & Salur, E., A comprehensive analysis of surface roughness, vibration, and acoustic emissions based on machine learning during hard turning of AISI 4140 steel. Metals 13.2 (2023): 437.
  • [15] Demirpolat, H., Binali, R., Patange, A. D., Pardeshi, S.S., & Gnanasekaran, S., Comparison of tool wear, surface roughness, cutting forces, tool tip temperature, and chip shape during sustainable turning of bearing steel. Materials 16.12 (2023): 4408.
  • [16] Başak, H., & Baday, Ş., Küreselleştirilmiş orta karbonlu bir çeliğin işlenmesinde, kesme parametrelerinin kesme kuvvetleri ve yüzey pürüzlülüğüne etkilerinin regresyon analizi ile modellenmesi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(4), (2016) pp.253-258.
  • [17] Korloy Cutting Tool Catalog, 2020-2021 ed., 2020, p. 53.
  • [18] ISO. Tool-life testing with single-point turning tools. 1993.
Yıl 2024, Cilt: 14 Sayı: 1, 69 - 75, 30.06.2024
https://doi.org/10.36222/ejt.1456172

Öz

Kaynakça

  • [1] Stephenson DA., Agapiou JS. Metal cutting theory and practice. 2nd ed. Florida, USA, CRC press, 2018.
  • [2] Tzotzis, A., García-Hernández, C., Huertas-Talón, J.L., Kyratsis, P., 3D FE Modelling of Machining Forces during AISI 4140 Hard Turning. Strojniški vestnik – Journal of Mechanical Engineering, 66 (7-8), pp. 467-478, (2020), doi: 10.5545/sv-jme.2020.6784.
  • [3] Valić GS, Kostadin T, Cukor G, Fabić M. Sustainable Machining: MQL Technique Combined with the Vortex Tube Cooling When Turning Martensitic Stainless Steel X20Cr13. Machines, 11 (3), pp 1-22, (2023), doi: 10.3390/machines11030336.
  • [4] Subbaiah, K.V., Raju, C., Suresh, C., Parametric analysis and optimization of hard turning at different levels of hardness using wiper ceramic insert. Measurement, 158, pp. 1-13 (2020), doi: 10.1016/j.measurement.2020.107712.
  • [5] Santhanakumar, M., Adalarasan, R., Siddharth, S., Velayudham, A., An investigation on surface finish and flank wear in hard machining of solution treated and aged 18 % Ni maraging steel. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39 (6), pp. 2071-2084, (2016), doi: 10.1007/s40430-016-0572-0.
  • [6] Rashid, W.B., Goel, S., Davim, J.P., Joshi, S.N., Parametric design optimization of hard turning of AISI 4340 steel (69 HRC). The International Journal of Advanced Manufacturing Technology, 82 (1-4), pp. 451-462, (2015), doi: 10.1007/s00170-015-7337-2.
  • [7] Pekşen, H., Kalyon, A., Optimization and measurement of flank wear and surface roughness via Taguchi based grey relational analysis. Materials and Manufacturing Processes, 36 (16), pp. 1865-1874, (2021), doi: 10.1080/10426914.2021.1926497.
  • [8] Ebrahimi, S.M., Hadad, M., Araee, A., Sustainable machining of hardened AISI630 stainless steel using thermally enhanced turning technique. Machining Science and Technology, 25 (4), pp. 608-636, (2021), doi: 10.1080/10910344.2021.1903922.
  • [9] Risco-Alfonso, R., Pérez-Rodríguez, R., Robledo, P.D.C., Santana, M.R., Quiza, R., Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear. Metals, 11 (11), pp. 1968, (2021), doi: 10.3390/met11111698.
  • [10] Chen, J., Wang, Y., Zhang, Y., Yang, S., Zhang, X., Investigation on Tool Wear Mechanism during dry cutting 304 Stainless Steel, Manufacturing Technology. 20 (1), pp. 36-44, (2020), doi: 10.21062/mft.2020.011.
  • [11] He, Q., DePaiva, J.M., Kohlscheen, J., Veldhuis, S.C., Analysis of the performance of PVD AlTiN coating with five different Al/Ti ratios during the high-speed turning of stainless steel 304 under dry and wet cooling conditions. Wear, 492-493, pp. 204-213, (2022), doi: 10.1016/j.wear.2021.204213.
  • [12] Derani, M.N., Ratnam, M.M., Nasir, R.M., Improved measure of workpiece surface deterioration during turning using non-contact vision method". Precision Engineering, 68, pp. 273-284, (2021), doi: 10.1016/j.precisioneng.2020.12.016.
  • [13] Szczotkarz, N., Mrugalski, R., Maruda, R.W., Królczyk, G.M., Legutko, S., Leksycki, K., Dębowski, D., Pruncu, C.I., Cutting tool wear in turning 316L stainless steel in the conditions of minimized lubrication. Tribology International, 156, pp. 1-11, (2021), doi: 10.1016/j.triboint.2020.106813.
  • [14] Asiltürk, İ., Kuntoğlu, M., Binali, R., Akkuş, H., & Salur, E., A comprehensive analysis of surface roughness, vibration, and acoustic emissions based on machine learning during hard turning of AISI 4140 steel. Metals 13.2 (2023): 437.
  • [15] Demirpolat, H., Binali, R., Patange, A. D., Pardeshi, S.S., & Gnanasekaran, S., Comparison of tool wear, surface roughness, cutting forces, tool tip temperature, and chip shape during sustainable turning of bearing steel. Materials 16.12 (2023): 4408.
  • [16] Başak, H., & Baday, Ş., Küreselleştirilmiş orta karbonlu bir çeliğin işlenmesinde, kesme parametrelerinin kesme kuvvetleri ve yüzey pürüzlülüğüne etkilerinin regresyon analizi ile modellenmesi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(4), (2016) pp.253-258.
  • [17] Korloy Cutting Tool Catalog, 2020-2021 ed., 2020, p. 53.
  • [18] ISO. Tool-life testing with single-point turning tools. 1993.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Makine Mühendisliği (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Fikret Sönmez 0000-0003-1718-892X

Erken Görünüm Tarihi 23 Ağustos 2024
Yayımlanma Tarihi 30 Haziran 2024
Gönderilme Tarihi 20 Mart 2024
Kabul Tarihi 21 Haziran 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 14 Sayı: 1

Kaynak Göster

APA Sönmez, F. (2024). The Effect of Feed and Depth of Cut Parameters on Surface Roughness and Chip Morphology in X2CrNiMoN2253 Duplex Stainless Steel Materials. European Journal of Technique (EJT), 14(1), 69-75. https://doi.org/10.36222/ejt.1456172

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