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Research Article

AWJ Parameters Optimisation via BBD-ISOA approach while Machining NFRP Composite

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Pages 1130-1143 | Received 12 Oct 2022, Accepted 08 Nov 2022, Published online: 09 Jan 2023
 

ABSTRACT

In this work, an experimental attempt has been made to model theresponse variables, i.e kerf taper angle and MRR in AWJ process whilemachining of NFRP composite. The experimental plan is based on BBDdesign. The feed rate of sand, stand-off distance, traverse speed andwater jet pressure have been varied to investigate their effect onresponses. The ANOVA was used to determine the significance ofdeveloped models. The model is further coupled with the Improved SOAalgorithm to optimise AWJ machining parameters. The result provedthat the standard SOA optimisation algorithm is inferior to theimproved optimisation algorithm, which can achieve greater processingquality. Subsequently, the outcomes of the optimisation results werereviewed and experimentally confirmed. The error between experimentaland predicted values was proven to be less than 2% at the inputvariable combinations with the best performance, demonstrating theviability and efficacy of the chosen strategy.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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