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Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets

Year 2023, , 347 - 355, 15.10.2023
https://doi.org/10.34248/bsengineering.1273509

Abstract

This study focused on the optimization using taguchi method to ınvestigate the effects of process parameters on the hardness of developed aluminium roofing sheets. Maximizing process variables like manufacturing temperature, manufacturing pressure, cooling time, and percentage of magnesium in aluminium, the Taguchi Method, a statistical method, was used to enhance the manufacturing quality of aluminium roofing sheets. Using an orthogonal array, a signal-to-noise ratio, and an analysis of variance, the effects of process variables on the hardness of the produced aluminium roofing sheets were examined. In this analysis, four factors; manufacturing temperature, manufacturing pressure, cooling time, and the precentage of magnesium in the aluminium roofing sheet were investigated. Thus, a suitable orthogonal array was selected, and experiments were conducted. Following the trial, the process parameters were evaluated, and the signal-to-noise ratio was calculated. The best parameter values were determined with the use of graphs, and confirmation trials were performed. The results showed that an aluminium roofing sheet's maximum hardness of 65.0kgf was obtained at a manufacturing temperature of 1250 °C, a manufacturing pressure of 65 GPa, a cooling period of 95 seconds, and a magnesium content of 0.5%. The most important influences on the hardness of aluminium roofing sheets was found to be the precentage of magnesium in aluminium roofing sheets followed by manufacturing pressure and manufacturing temperature. The cooling time was found to be the least efficient one. The obtained results in this study were used to improve the material property (hardness) of aluminum roofing sheet and investigate the effects of production factors in aluminum production industries.

References

  • Altan M. 2010. Reducing shrinkage in ınjection moldings through the taguchi, ANOVA and neural network methods. J Mat Design, 31: 599-604.
  • Foster WT. 2000. Basic Taguchi design of experiments. National Association of Industrial Technology Conference, May 9-11, 20000, Pittsburgh, US, pp: 1-50.
  • Fratilia D, Caizar C. 2011. Application of taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg3. J Clean Prod, 19: 640-645.
  • Friend CM. 1987. The effect of matrix properties on reinforcement is short Al2O3 fiber-Al MMCs. J Mater Sci, 22(8): 3005-3010.
  • Joardar H, Sutradhar G, Das NS. 2012. FEM simulation and experimental validation of cold forging behavior of LM6 base metal matrix composites. JMMCE, 11(10): 989-994.
  • Kok M. 2004. Production and mechanical properties of Al2O3 particle-reinforced 2024 aluminium alloy composites. J Mater Proces Technol, 161: 381-387.
  • Manigandan K, Srivatsan TS, Quick T. 2011.Influence of silicon carbide particulate on tensile fracture behavior of an aluminium alloy. Mater Sci Eng, 534: 711-715.
  • Meena KL, Manna SS. 2013. Banwait, Jaswanthi, an analysis of mechanical properties of the developed Al/SiC-MCC’s. American J Mech Eng, 1(1): 14-19.
  • Olodu DD. 2018. Optimization and analysis of cutting tool geometrical parameters using taguchi method. J Appl Sci Environ Manag, 22(3): 346–349. DOI: 10.4314/jasem.v22i3.9.
  • Olodu DD. 2021. Modelling and validation of the production parameters of unalloyed aluminium sheets. Gazi Univ J Sci Part A: Eng Innov, 8(1): 94-108.
  • Osarenmwinda JO, Olodu DD. 2018. Optimization of ınjection moulding process parameters in the moulding of high density polyethylene (HDPE). J Appl Sci Environ Manag, 22(2): 203-206. DOI: 10.4314/jasem.v22i2.8.
  • Rao RS, Kumar G, Prakasham CS, Hobbs PJ. 2019. The taguchi methodology as a statistical tool for biotechnological applications: a critical appraisal, Biotechnol J, 3(4): 510-523.
  • Saravanan C, Subramanian K, Ananda Krishnan V, Sankara Narayanan R. 2015. Effect of particulate reinforced aluminium metal matrix composite. Mechanics Mechanical Eng, 19(1): 23-30.
  • Singla M, Deepak Dwivedi D, Singh L, Chawla V. 2009. Development of aluminium based silicon particulate metal matrix composite, J Miner Mater Charact Eng, 8(6): 455-567.
  • Sozhamannan GG, Balasivanandha Prabu S, Venkatagalapathy VSK. 2012. Effect of processing parameters on metal matrix composites: stir casting process, J Surface Eng Mater Adv Technol, 2: 11-15. DOI:10.4236/jsemat.2012.21002.
  • Srinivas A, Venkatesh YD. 2012. Application of taguchi method for optimization of process parameters in improving the surface roughness of lathe facing operation. Int Refer J Eng Sci, 1(3): 13-19
  • Taguchi G, Konishi S. 1987. Taguchi methods, orthogonal arrays and linear graphs, tools for quality american supplier institute. American Supplier Instit, 2: 8-35.
  • Vaatainen O, Pentti J. 2016. Effect of processing parameters on the quality of ınjection moulded parts by using the taguchi parameter design method. J Plastic Rubber Compos, 1: 21-27.
  • Zitoun E. 2019. Matrix Al-alloys for silicon carbide particle reinforced metal matrix composites. Chennakesava Reddy, 3(12): 1184-1187.

Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets

Year 2023, , 347 - 355, 15.10.2023
https://doi.org/10.34248/bsengineering.1273509

Abstract

This study focused on the optimization using taguchi method to ınvestigate the effects of process parameters on the hardness of developed aluminium roofing sheets. Maximizing process variables like manufacturing temperature, manufacturing pressure, cooling time, and percentage of magnesium in aluminium, the Taguchi Method, a statistical method, was used to enhance the manufacturing quality of aluminium roofing sheets. Using an orthogonal array, a signal-to-noise ratio, and an analysis of variance, the effects of process variables on the hardness of the produced aluminium roofing sheets were examined. In this analysis, four factors; manufacturing temperature, manufacturing pressure, cooling time, and the precentage of magnesium in the aluminium roofing sheet were investigated. Thus, a suitable orthogonal array was selected, and experiments were conducted. Following the trial, the process parameters were evaluated, and the signal-to-noise ratio was calculated. The best parameter values were determined with the use of graphs, and confirmation trials were performed. The results showed that an aluminium roofing sheet's maximum hardness of 65.0kgf was obtained at a manufacturing temperature of 1250 °C, a manufacturing pressure of 65 GPa, a cooling period of 95 seconds, and a magnesium content of 0.5%. The most important influences on the hardness of aluminium roofing sheets was found to be the precentage of magnesium in aluminium roofing sheets followed by manufacturing pressure and manufacturing temperature. The cooling time was found to be the least efficient one. The obtained results in this study were used to improve the material property (hardness) of aluminum roofing sheet and investigate the effects of production factors in aluminum production industries.

References

  • Altan M. 2010. Reducing shrinkage in ınjection moldings through the taguchi, ANOVA and neural network methods. J Mat Design, 31: 599-604.
  • Foster WT. 2000. Basic Taguchi design of experiments. National Association of Industrial Technology Conference, May 9-11, 20000, Pittsburgh, US, pp: 1-50.
  • Fratilia D, Caizar C. 2011. Application of taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg3. J Clean Prod, 19: 640-645.
  • Friend CM. 1987. The effect of matrix properties on reinforcement is short Al2O3 fiber-Al MMCs. J Mater Sci, 22(8): 3005-3010.
  • Joardar H, Sutradhar G, Das NS. 2012. FEM simulation and experimental validation of cold forging behavior of LM6 base metal matrix composites. JMMCE, 11(10): 989-994.
  • Kok M. 2004. Production and mechanical properties of Al2O3 particle-reinforced 2024 aluminium alloy composites. J Mater Proces Technol, 161: 381-387.
  • Manigandan K, Srivatsan TS, Quick T. 2011.Influence of silicon carbide particulate on tensile fracture behavior of an aluminium alloy. Mater Sci Eng, 534: 711-715.
  • Meena KL, Manna SS. 2013. Banwait, Jaswanthi, an analysis of mechanical properties of the developed Al/SiC-MCC’s. American J Mech Eng, 1(1): 14-19.
  • Olodu DD. 2018. Optimization and analysis of cutting tool geometrical parameters using taguchi method. J Appl Sci Environ Manag, 22(3): 346–349. DOI: 10.4314/jasem.v22i3.9.
  • Olodu DD. 2021. Modelling and validation of the production parameters of unalloyed aluminium sheets. Gazi Univ J Sci Part A: Eng Innov, 8(1): 94-108.
  • Osarenmwinda JO, Olodu DD. 2018. Optimization of ınjection moulding process parameters in the moulding of high density polyethylene (HDPE). J Appl Sci Environ Manag, 22(2): 203-206. DOI: 10.4314/jasem.v22i2.8.
  • Rao RS, Kumar G, Prakasham CS, Hobbs PJ. 2019. The taguchi methodology as a statistical tool for biotechnological applications: a critical appraisal, Biotechnol J, 3(4): 510-523.
  • Saravanan C, Subramanian K, Ananda Krishnan V, Sankara Narayanan R. 2015. Effect of particulate reinforced aluminium metal matrix composite. Mechanics Mechanical Eng, 19(1): 23-30.
  • Singla M, Deepak Dwivedi D, Singh L, Chawla V. 2009. Development of aluminium based silicon particulate metal matrix composite, J Miner Mater Charact Eng, 8(6): 455-567.
  • Sozhamannan GG, Balasivanandha Prabu S, Venkatagalapathy VSK. 2012. Effect of processing parameters on metal matrix composites: stir casting process, J Surface Eng Mater Adv Technol, 2: 11-15. DOI:10.4236/jsemat.2012.21002.
  • Srinivas A, Venkatesh YD. 2012. Application of taguchi method for optimization of process parameters in improving the surface roughness of lathe facing operation. Int Refer J Eng Sci, 1(3): 13-19
  • Taguchi G, Konishi S. 1987. Taguchi methods, orthogonal arrays and linear graphs, tools for quality american supplier institute. American Supplier Instit, 2: 8-35.
  • Vaatainen O, Pentti J. 2016. Effect of processing parameters on the quality of ınjection moulded parts by using the taguchi parameter design method. J Plastic Rubber Compos, 1: 21-27.
  • Zitoun E. 2019. Matrix Al-alloys for silicon carbide particle reinforced metal matrix composites. Chennakesava Reddy, 3(12): 1184-1187.
There are 19 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Dıckson Davıd Olodu 0000-0003-3383-2543

Andrew Erameh 0000-0002-6463-143X

Early Pub Date September 29, 2023
Publication Date October 15, 2023
Submission Date March 30, 2023
Acceptance Date June 23, 2023
Published in Issue Year 2023

Cite

APA Olodu, D. D., & Erameh, A. (2023). Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets. Black Sea Journal of Engineering and Science, 6(4), 347-355. https://doi.org/10.34248/bsengineering.1273509
AMA Olodu DD, Erameh A. Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets. BSJ Eng. Sci. October 2023;6(4):347-355. doi:10.34248/bsengineering.1273509
Chicago Olodu, Dıckson Davıd, and Andrew Erameh. “Optimization Using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets”. Black Sea Journal of Engineering and Science 6, no. 4 (October 2023): 347-55. https://doi.org/10.34248/bsengineering.1273509.
EndNote Olodu DD, Erameh A (October 1, 2023) Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets. Black Sea Journal of Engineering and Science 6 4 347–355.
IEEE D. D. Olodu and A. Erameh, “Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets”, BSJ Eng. Sci., vol. 6, no. 4, pp. 347–355, 2023, doi: 10.34248/bsengineering.1273509.
ISNAD Olodu, Dıckson Davıd - Erameh, Andrew. “Optimization Using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets”. Black Sea Journal of Engineering and Science 6/4 (October 2023), 347-355. https://doi.org/10.34248/bsengineering.1273509.
JAMA Olodu DD, Erameh A. Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets. BSJ Eng. Sci. 2023;6:347–355.
MLA Olodu, Dıckson Davıd and Andrew Erameh. “Optimization Using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets”. Black Sea Journal of Engineering and Science, vol. 6, no. 4, 2023, pp. 347-55, doi:10.34248/bsengineering.1273509.
Vancouver Olodu DD, Erameh A. Optimization using Taguchi Method to Investigate the Effects of Process Parameters on the Hardness of Developed Aluminium Roofing Sheets. BSJ Eng. Sci. 2023;6(4):347-55.

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