Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method
This paper focuses on the optimization of drilling parameters by utilizing “Taguchi method” to obtain the minimum surface roughness. Nine drilling experiments were performed on Al 5050 alloy using high speed steel twist drills. Three drilling parameters (feed rates, cutting speeds, and cutting tool...
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Al-Khwarizmi College of Engineering – University of Baghdad
2019
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oai:doaj.org-article:d0a2ad75cf884966b15ad7abe69c44742021-12-02T04:33:55ZOptimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method10.22153/kej.2018.12.0011818-11712312-0789https://doaj.org/article/d0a2ad75cf884966b15ad7abe69c44742019-03-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/379https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 This paper focuses on the optimization of drilling parameters by utilizing “Taguchi method” to obtain the minimum surface roughness. Nine drilling experiments were performed on Al 5050 alloy using high speed steel twist drills. Three drilling parameters (feed rates, cutting speeds, and cutting tools) were used as control factors, and L9 (33) “orthogonal array” was specified for the experimental trials. Signal to Noise (S/N) Ratio and “Analysis of Variance” (ANOVA) were utilized to set the optimum control factors which minimized the surface roughness. The results were tested with the aid of statistical software package MINITAB-17. After the experimental trails, the tool diameter was found as the most important factor that has effect on the surface roughness. The optimal drilling factors that minimized the surface roughness are (20mm/min cutting speed, 0.2 mm/rev feed rate, and 10mm tool diameter). Aseel Jameel HaleelAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 14, Iss 2 (2019) |
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Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 |
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Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Aseel Jameel Haleel Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method |
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This paper focuses on the optimization of drilling parameters by utilizing “Taguchi method” to obtain the minimum surface roughness. Nine drilling experiments were performed on Al 5050 alloy using high speed steel twist drills. Three drilling parameters (feed rates, cutting speeds, and cutting tools) were used as control factors, and L9 (33) “orthogonal array” was specified for the experimental trials. Signal to Noise (S/N) Ratio and “Analysis of Variance” (ANOVA) were utilized to set the optimum control factors which minimized the surface roughness. The results were tested with the aid of statistical software package MINITAB-17. After the experimental trails, the tool diameter was found as the most important factor that has effect on the surface roughness. The optimal drilling factors that minimized the surface roughness are (20mm/min cutting speed, 0.2 mm/rev feed rate, and 10mm tool diameter).
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format |
article |
author |
Aseel Jameel Haleel |
author_facet |
Aseel Jameel Haleel |
author_sort |
Aseel Jameel Haleel |
title |
Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method |
title_short |
Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method |
title_full |
Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method |
title_fullStr |
Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method |
title_full_unstemmed |
Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method |
title_sort |
optimization drilling parameters of aluminum alloy based on taguchi method |
publisher |
Al-Khwarizmi College of Engineering – University of Baghdad |
publishDate |
2019 |
url |
https://doaj.org/article/d0a2ad75cf884966b15ad7abe69c4474 |
work_keys_str_mv |
AT aseeljameelhaleel optimizationdrillingparametersofaluminumalloybasedontaguchimethod |
_version_ |
1718401152471531520 |