Chohan, Jasgurpreet Singh, Mittal, Nitin, Kumar, Raman, Singh, Sandeep, Sharma, Shubham, Dwivedi, Shashi Prakash, Saxena, Ambuj, Chattopadhyaya, Somnath, Ilyas, Rushdan A., Le, Chi Hieu ORCID: 0000-0002-5168-2297 and Wojciechowski, Szymon (2021) Optimization of FFF process parameters by naked mole-rat algorithms with enhanced exploration and exploitation capabilities. Polymers, 13 (11):1702. ISSN 2073-4360 (Online) (doi:https://doi.org/10.3390/polym13111702)

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Abstract

Fused filament fabrication (FFF) has numerous process parameters that influence the mechanical strength of parts. Hence, many optimization studies are performed using conventional tools and algorithms. Although studies have also been performed using advanced algorithms, limited research has been reported in which variants of the naked mole-rat algorithm (NMRA) are implemented for solving the optimization issues of manufacturing processes. This study was performed to scrutinize optimum parameters and their levels to attain maximum impact strength, flexural strength and tensile strength based on five different FFF process parameters. The algorithm yielded better results than other studies and successfully achieved a maximum response, which may be helpful to enhance the mechanical strength of FFF parts. The study opens a plethora of research prospects for implementing NMRA in manufacturing. Moreover, the findings may help identify critical parametric levels for the fabrication of customized products at the commercial level and help to attain the objectives of Industry 4.0.

Item Type:	Article
Additional Information:	© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords:	fused-filament fabrication; mechanical strength; naked mole-rat algorithm; optimization; process parameters
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	27 May 2021 23:23
URI:	http://gala.gre.ac.uk/id/eprint/32863

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