Research Article
BibTex RIS Cite

Al 5052 alaşımının Lazer Kesiminde Kerf Oluşumunu ve Yüzey Pürüzlülüğünü Etkileyen Kesme Parametrelerinin Çoklu Optimizasyonu

Year 2022, Volume: 9 Issue: 1, 220 - 231, 31.01.2022
https://doi.org/10.31202/ecjse.958728

Abstract

Lazer ile yapılan kesmelerde kesilen malzemeye göre uygun kesme parametreleri seçilmelidir. Yanlış seçilen parametreler, kesilen levhalarda ölçü tamlığını ve yüzey kalitesini olumsuz etkilemektedir. Bu çalışmada, 3 mm kalınlığındaki Al 5052 levha, lazer kesme operasyonu ile kesilmiştir. Kesilen levhalardaki kerf oluşumu ve yüzey pürüzlülüğü incelenmiştir. Daha az deney ile optimum sonuçları elde edebilmek için Taguchi metodu ile L18 (21x32) deney tasarımı yapılmıştır. Kesme esnasında azot gazı kullanılmıştır. Kesme parametreleri olarak 9 ve 12 bar gaz basıncı, 3000-4000-5000 mm/min kesme hızı ve 2500-3000-3500 W lazer gücü seçilmiştir. Deneyler sonunda üst kerf genişliği (KWT), alt kerf genişliği (KWB), kerf koniği (KT) ve yüzey pürüzlülüğü (Ra) ölçülmüştür. Minimum değerlerde optimum parametrelerin tespiti için Taguchi ve çoklu analiz yapılmıştır. KWB ve KT için en etkin parametre CS çıkmıştır. KWT ve Ra için ise en etkin parametre P olmuştur. Çoklu optimizasyon sonunda ideal kesme parametreleri GP 10,1029 bar, CS 5000 mm/min and P 2500 W olarak bulunmuştur.

References

  • Yilbas, B.S., Shaukat, M.M., Ashraf, F., Laser cutting of various materials: Kerf width size analysis and life cycle assessment of cutting process, Optics & Laser Technology, 2017, 93, 67-73.
  • Nagai, H., Hishii, M. A. S. A. O., Shibayama, K. O. U. Z. A. B. U. R. O., Nagai, A. K. I. O., Akiba, T. O. S. H. I. M. I. T. S. U., High-pressure sealed CW CO 2 laser with high efficiency, IEEE Journal of Quantum Electronics, 1982, 18(3), 416-422.
  • Steen, W.M., Laser material processing, Springer, (3rd end.), 1991, New York.
  • Sharma, V., Kumar, V., Multi-objective optimization of laser curve cutting of aluminium metal matrix composites using desirability function approach, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016, 38(4), 1221-1238.
  • Stournaras, A., Stavropoulos, P., Salonitis, K., Chryssolouris, G., An investigation of quality in CO2 laser cutting of aluminum, CIRP J Manuf Sci Technol, 2009, 2 (1), 61-69.
  • Yi, G., Sun, B., Poplawsky, J.D., Zhu, Y., Free, M.L., Investigation of pre-existing particles in Al 5083 alloys, J Alloys Compd, 2018, 740, 461-469.
  • Chen, Y., Ding, H., Li, J., Cai, Z., Zhao, J., Yang, W., Influence of multi-pass friction stir processing on the microstructure and mechanical properties of Al-5083 alloy, Mater Sci Eng A, 2016, 650, 281-289.
  • Yana, J., Hodge, A.M., Study of β precipitation and layer structure formation in Al 5083: The role of dispersoids and grain boundaries, J Alloys Compd, 2017, 703, 242-250.
  • Wang, J., An experimental analysis and optimisation of the CO2 laser cutting process for metallic coated sheet steels, The International Journal of Advanced Manufacturing Technology, 2000, 16(5), 334-340.
  • Chaki, S., Bathe, R. N., Ghosal, S., Padmanabham, G., Multi-objective optimisation of pulsed Nd: YAG laser cutting process using integrated ANN–NSGAII model, Journal of Intelligent Manufacturing, 2018, 29(1), 175-190.
  • Chakraborty, S., Bhattacharyya, B., Diyaley, S., Applications of optimization techniques for parametric analysis of non-traditional machining processes: a review, Management Science Letters, 2019, 9(3), 467-494.
  • Rao, R., Yadava, V., Multi-objective optimization of Nd: YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement, Optics & Laser Technology, 2009, 41(8), 922-930.
  • Akkuş, H., Experimental and Statistical Investigation of Surface Roughness in Turning of AISI 4140 Steel, Sakarya University Journal of Science, 2019, 23(5), 775-781.
  • Işık, R., Özlü, B., Demir, H., St-37 Malzemesinin Lazer ile Kesme İşleminde Seçilen Parametrelerin Etkisinin Deneysel ve İstatiksel Olarak İncelenmesi, Firat University Journal of Engineering, 2021, 33(1).
  • Joshi, P., Sharma, A., Simultaneous optimization of kerf taper and heat affected zone in Nd-YAG laser cutting of Al 6061-T6 sheet using hybrid approach of grey relational analysis and fuzzy logic, Int J Precis Eng, 2018, 54, 302-313.
  • Sharifi, M., Akbari, M., Experimental investigation of the effect of process parameters on cutting region temperature and cutting edge quality in laser cutting of AL6061T6 alloy, Optik 2019, 184, 457-463.
  • Özlü, B., Akgün, M., Demir, H., AA 6061 Alaşımının tornalanmasında kesme parametrelerinin yüzey pürüzlülüğü üzerine etkisinin analizi ve optimizasyonu, Gazi Mühendislik Bilimleri Dergisi (GMBD), 2019, 5(2), 151-158.
  • Asiltürk, I., Akkuş, H., Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method, Measurement, 2011, 44(9), 1697-1704.
  • Erkan, Ö., Sur, G., Nas, E., Investigation Of Surface Morphology Of Drilled Cfrp Plates And Optimization Of Cutting Parameters, Surface Review and Letters, 2020, 27(09), 1950209.
  • Rajaram, N., Ahmad, J.S., Cheraghi, SH., CO2 laser cut quality of 4130 steel, Int J Mach Tools Manuf., 2003, 43(4), 351-358.
  • Dubey, A.K., Yadava, V., Multi-objective optimisation of laser beam cutting process, Opt Laser Technol, 2008, 40(3), 562-570.
  • Akkuş, H., Yaka, H., Optimization of Turning Process By Using Taguchi Method, Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018, 22(5), 1444-1448.

Multiple Optimization of Cutting Parameters Affecting Kerf Formation and Surface Roughness in Laser Cutting of Al 5052 Alloy

Year 2022, Volume: 9 Issue: 1, 220 - 231, 31.01.2022
https://doi.org/10.31202/ecjse.958728

Abstract

In cutting with laser, appropriate cutting parameters should be selected according to the material being cut. Incorrectly selected parameters affect the dimensional accuracy and surface quality of the cut sheets. In this study, 3 mm thick Al 5052 sheet was cut with laser cutting operation. Kerf formation and surface roughness of the cut sheets were investigated. In order to obtain optimum results with fewer experiments, L18 (21x32) experimental design was made with the Taguchi method. Azote gas was used during cutting. 9 and 12 bar gas pressure, 3000-4000-5000 mm/min cutting speed and 2500-3000-3500 W laser power were selected as cutting parameters. At the end of the experiments, the upper kerf width (KWT), lower kerf width (KWB), kerf taper (KT) and avarage surface roughness (Ra) were measured. Taguchi and multiple analysis were performed to determine the optimum parameters at minimum values. CS was the most effective parameter for KWB and KT. For KWT and Ra, the most effective parameter was P. At the end of the multiple optimizations, the ideal cutting parameters were found as GP 10,1029 bar, CS 5000 mm/min and P 2500 W.

References

  • Yilbas, B.S., Shaukat, M.M., Ashraf, F., Laser cutting of various materials: Kerf width size analysis and life cycle assessment of cutting process, Optics & Laser Technology, 2017, 93, 67-73.
  • Nagai, H., Hishii, M. A. S. A. O., Shibayama, K. O. U. Z. A. B. U. R. O., Nagai, A. K. I. O., Akiba, T. O. S. H. I. M. I. T. S. U., High-pressure sealed CW CO 2 laser with high efficiency, IEEE Journal of Quantum Electronics, 1982, 18(3), 416-422.
  • Steen, W.M., Laser material processing, Springer, (3rd end.), 1991, New York.
  • Sharma, V., Kumar, V., Multi-objective optimization of laser curve cutting of aluminium metal matrix composites using desirability function approach, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016, 38(4), 1221-1238.
  • Stournaras, A., Stavropoulos, P., Salonitis, K., Chryssolouris, G., An investigation of quality in CO2 laser cutting of aluminum, CIRP J Manuf Sci Technol, 2009, 2 (1), 61-69.
  • Yi, G., Sun, B., Poplawsky, J.D., Zhu, Y., Free, M.L., Investigation of pre-existing particles in Al 5083 alloys, J Alloys Compd, 2018, 740, 461-469.
  • Chen, Y., Ding, H., Li, J., Cai, Z., Zhao, J., Yang, W., Influence of multi-pass friction stir processing on the microstructure and mechanical properties of Al-5083 alloy, Mater Sci Eng A, 2016, 650, 281-289.
  • Yana, J., Hodge, A.M., Study of β precipitation and layer structure formation in Al 5083: The role of dispersoids and grain boundaries, J Alloys Compd, 2017, 703, 242-250.
  • Wang, J., An experimental analysis and optimisation of the CO2 laser cutting process for metallic coated sheet steels, The International Journal of Advanced Manufacturing Technology, 2000, 16(5), 334-340.
  • Chaki, S., Bathe, R. N., Ghosal, S., Padmanabham, G., Multi-objective optimisation of pulsed Nd: YAG laser cutting process using integrated ANN–NSGAII model, Journal of Intelligent Manufacturing, 2018, 29(1), 175-190.
  • Chakraborty, S., Bhattacharyya, B., Diyaley, S., Applications of optimization techniques for parametric analysis of non-traditional machining processes: a review, Management Science Letters, 2019, 9(3), 467-494.
  • Rao, R., Yadava, V., Multi-objective optimization of Nd: YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement, Optics & Laser Technology, 2009, 41(8), 922-930.
  • Akkuş, H., Experimental and Statistical Investigation of Surface Roughness in Turning of AISI 4140 Steel, Sakarya University Journal of Science, 2019, 23(5), 775-781.
  • Işık, R., Özlü, B., Demir, H., St-37 Malzemesinin Lazer ile Kesme İşleminde Seçilen Parametrelerin Etkisinin Deneysel ve İstatiksel Olarak İncelenmesi, Firat University Journal of Engineering, 2021, 33(1).
  • Joshi, P., Sharma, A., Simultaneous optimization of kerf taper and heat affected zone in Nd-YAG laser cutting of Al 6061-T6 sheet using hybrid approach of grey relational analysis and fuzzy logic, Int J Precis Eng, 2018, 54, 302-313.
  • Sharifi, M., Akbari, M., Experimental investigation of the effect of process parameters on cutting region temperature and cutting edge quality in laser cutting of AL6061T6 alloy, Optik 2019, 184, 457-463.
  • Özlü, B., Akgün, M., Demir, H., AA 6061 Alaşımının tornalanmasında kesme parametrelerinin yüzey pürüzlülüğü üzerine etkisinin analizi ve optimizasyonu, Gazi Mühendislik Bilimleri Dergisi (GMBD), 2019, 5(2), 151-158.
  • Asiltürk, I., Akkuş, H., Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method, Measurement, 2011, 44(9), 1697-1704.
  • Erkan, Ö., Sur, G., Nas, E., Investigation Of Surface Morphology Of Drilled Cfrp Plates And Optimization Of Cutting Parameters, Surface Review and Letters, 2020, 27(09), 1950209.
  • Rajaram, N., Ahmad, J.S., Cheraghi, SH., CO2 laser cut quality of 4130 steel, Int J Mach Tools Manuf., 2003, 43(4), 351-358.
  • Dubey, A.K., Yadava, V., Multi-objective optimisation of laser beam cutting process, Opt Laser Technol, 2008, 40(3), 562-570.
  • Akkuş, H., Yaka, H., Optimization of Turning Process By Using Taguchi Method, Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018, 22(5), 1444-1448.
There are 22 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Harun Yaka 0000-0003-4859-9609

Publication Date January 31, 2022
Submission Date June 28, 2021
Acceptance Date October 18, 2021
Published in Issue Year 2022 Volume: 9 Issue: 1

Cite

IEEE H. Yaka, “Multiple Optimization of Cutting Parameters Affecting Kerf Formation and Surface Roughness in Laser Cutting of Al 5052 Alloy”, ECJSE, vol. 9, no. 1, pp. 220–231, 2022, doi: 10.31202/ecjse.958728.