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A comparative analysis on optimization of end milling processes using multi-criteria decision making methods
https://orcid.org/http://orcid.org/0000-0002-9624-5656
End milling is an essential material removal process in almost all the metal-working industries to generate holes, cavities, slots, pockets and complex shape profiles in any type of material. In this paper, the performance of two end milling processes is optimized using four newly developed MCDM tools, i.e. multi-attributive ideal-real comparative analysis (MAIRCA), multi-attributive border approximation area comparison (MABAC), measurement alternatives and ranking according to compromise solution (MARCOS) and compromise ranking of alternatives from distance to ideal solution (CRADIS) methods. For both the illustrative examples, all the adopted MCDM techniques identify the same combinations of the end milling parameters. But, better response values are predicted at the optimal parametric intermixes derived based on level-averaging method using the calculated MCDM scores. For the first example, a combination of end milling parameters as cutting speed = 204 m/min, feed = 0.2 mm/tooth, depth of cut = 0.2 mm and width of cut = 0.2 mm would provide the most desired response values. On the other hand, for the second example, fluting rake angle = 6°, gash angle = 35°, helix angle = 45°, gash rake angle = 2° and pitch angle difference = 5° appear as the optimal combination of different end milling cutter geometric parameters. Based on the Spearman’s rank correlation coefficients, it is noticed that there is perfect congruence between the ranking performance of MAIRCA and MABAC, and MARCOS and CRADIS methods.
A comparative analysis on optimization of end milling processes using multi-criteria decision making methods
https://orcid.org/http://orcid.org/0000-0002-9624-5656
End milling is an essential material removal process in almost all the metal-working industries to generate holes, cavities, slots, pockets and complex shape profiles in any type of material. In this paper, the performance of two end milling processes is optimized using four newly developed MCDM tools, i.e. multi-attributive ideal-real comparative analysis (MAIRCA), multi-attributive border approximation area comparison (MABAC), measurement alternatives and ranking according to compromise solution (MARCOS) and compromise ranking of alternatives from distance to ideal solution (CRADIS) methods. For both the illustrative examples, all the adopted MCDM techniques identify the same combinations of the end milling parameters. But, better response values are predicted at the optimal parametric intermixes derived based on level-averaging method using the calculated MCDM scores. For the first example, a combination of end milling parameters as cutting speed = 204 m/min, feed = 0.2 mm/tooth, depth of cut = 0.2 mm and width of cut = 0.2 mm would provide the most desired response values. On the other hand, for the second example, fluting rake angle = 6°, gash angle = 35°, helix angle = 45°, gash rake angle = 2° and pitch angle difference = 5° appear as the optimal combination of different end milling cutter geometric parameters. Based on the Spearman’s rank correlation coefficients, it is noticed that there is perfect congruence between the ranking performance of MAIRCA and MABAC, and MARCOS and CRADIS methods.
A comparative analysis on optimization of end milling processes using multi-criteria decision making methods
https://orcid.org/http://orcid.org/0000-0002-9624-5656
End milling is an essential material removal process in almost all the metal-working industries to generate holes, cavities, slots, pockets and complex shape profiles in any type of material. In this paper, the performance of two end milling processes is optimized using four newly developed MCDM tools, i.e. multi-attributive ideal-real comparative analysis (MAIRCA), multi-attributive border approximation area comparison (MABAC), measurement alternatives and ranking according to compromise solution (MARCOS) and compromise ranking of alternatives from distance to ideal solution (CRADIS) methods. For both the illustrative examples, all the adopted MCDM techniques identify the same combinations of the end milling parameters. But, better response values are predicted at the optimal parametric intermixes derived based on level-averaging method using the calculated MCDM scores. For the first example, a combination of end milling parameters as cutting speed = 204 m/min, feed = 0.2 mm/tooth, depth of cut = 0.2 mm and width of cut = 0.2 mm would provide the most desired response values. On the other hand, for the second example, fluting rake angle = 6°, gash angle = 35°, helix angle = 45°, gash rake angle = 2° and pitch angle difference = 5° appear as the optimal combination of different end milling cutter geometric parameters. Based on the Spearman’s rank correlation coefficients, it is noticed that there is perfect congruence between the ranking performance of MAIRCA and MABAC, and MARCOS and CRADIS methods.
A comparative analysis on optimization of end milling processes using multi-criteria decision making methods
Int J Interact Des Manuf
Das, Partha Protim (author) / Chakraborty, Shankar (author)
2023-08-01
22 pages
Article (Journal)
Electronic Resource
English
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