Experimental investigation and multi-response optimization of machinability of AA5005H34 using composite desirability coupled with PCA
Qazi, Mohsin Iqbal and Abas, Muhammad and Khan, Razaullah and Saleem, Waqas and Pruncu, Catalin Iulian and Omair, Muhammad (2021) Experimental investigation and multi-response optimization of machinability of AA5005H34 using composite desirability coupled with PCA. Metals, 11 (2). 235. ISSN 2075-4701 (https://doi.org/10.3390/met11020235)
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Abstract
Minimum quantity lubricant (MQL) is an advanced technique in machining to achieve sustainability, productivity, higher precision, economic benefits, and a reduction in carbon footprints. The present research work aims to investigate the effect of the cutting process parameters of the end milling of AA5005H34 material under dry and MQL cutting environments. The key performance indicators of machining include the surface roughness profile, the material removal rate, and tool wear. Surface roughness parameters are measured with the help of the Mitutoyo surface roughness tester, and the cutting tool wear is measured according to the ISO 8688-2:1989 standard using a scanning electron microscope (SEM). Sixteen experiments are designed based on the Taguchi orthogonal array mixture design. Single responses are optimized based on signal to noise ratios, while for multi-response optimization composite desirability function coupled with principal component analysis is applied. Analysis of variance (ANOVA) results revealed that the feed rate followed by spindle speed, axial depth of the cut, width of the cut, and cutting environment are the most significant factors contributing to the surface roughness profile, material removal rate, and tool wear. The optimized parameters are obtained as cutting speed of 3000 rev/min, feed rate of 350 mm/min, axial depth of cut of 2 mm, and width of cut of 6 mm under an MQL environment.
ORCID iDs
Qazi, Mohsin Iqbal, Abas, Muhammad, Khan, Razaullah, Saleem, Waqas, Pruncu, Catalin Iulian ORCID: https://orcid.org/0000-0002-4926-2189 and Omair, Muhammad;-
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Item type: Article ID code: 75243 Dates: DateEvent31 January 2021Published25 January 2021AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 02 Feb 2021 14:15 Last modified: 11 Nov 2024 12:58 URI: https://strathprints.strath.ac.uk/id/eprint/75243