Experimental investigation and optimization of abrasive water jet machining parameter on multi-walled carbon nanotube doped epoxy/carbon laminate. (November 2020)

• Record Type: Journal Article
• Authors: Thakur, R.K.; Singh, K.K.
• Is Part Of: Measurement. Volume 164(2020)
• Publication Date: 2020-11
• Subjects: AWJ machining -- MWCNT -- Taguchi design -- Optimization -- Grey relational analysis; CFRP Carbon fiber reinforced polymer -- GFRP Glass fiber reinforced polymer -- MWCNT Multi-walled carbon nanotube -- AWJ Abrasive water jet -- SOD Standoff distance -- AMFR Abrasive mass flow rate -- TKW Top kerf width -- SR Surface roughness -- MRR Material removal rate -- DF Delamination factor -- ILSS Interlaminar shear strength -- S/N Signal to noise -- ANOVA Analysis of variance -- GRA Grey relational analysis -- GRC Grey relational coefficient -- GRG Grey relational grade -- FESEM Field emission scanning electron microscope -- AFM Atomic force microscopy; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2020.108093
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Abrasive water jet is performed on multi-walled carbon nanotube doped composite. Effect of multi-walled carbon nanotubes is investigated as process parameter. Surface roughness, kerf taper, material removal and delamination factor are studied. Taguchi based grey relational analysis is used to analyze and optimize the responses. Abstract: Carbon fiber reinforced polymer nanocomposite performs an essential role in the manufacturing sectors due to unique engineering properties. This study presents a systematic analysis and optimization of machining responses during abrasive water jet machining of carbon fiber reinforced polymer nanocomposite. In this Taguchi design-based analysis, the influence of parameters like multi-walled carbon nanotube weight percentage, jet pressure, traverse rate, and standoff distance on surface roughness, kerf taper, material removal rate, delamination factor at jet entry and exit has been investigated. Analysis of variance is utilized to find significant factors. Grey relational analysis establishes that multi-walled carbon nanotube and jet pressure are found to affect the overall responses significantly. Optimization of parameters with contradictory conditions has been executed that resulted in reduced surface roughness of 25.31%, kerf taper of 23.94%, entry delamination factor of 26.08%, exit delamination of 26.16% and improved material removal rate of 4.25% compared to initial parameters setting.