Systematic literature review on the application of additive manufacturing in repair and restoration

Maidin, Shajahan and Rajendran, Thavinnesh Kumar and Ismail, Shafinaz and Mohd Ali, Latifah (2023) Systematic literature review on the application of additive manufacturing in repair and restoration. Jurnal Teknologi, 85 (6). pp. 85-94. ISSN 2180-3722

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Abstract

The process of repair and restoration is crucial to environmental sustainability as it allows parts or products to be reinstated like a new condition before moving on to the next stage of their life cycles. Presently, skilled workers manually do these tasks. With the introduction of additive manufacturing (AM), people are exploring its possibilities for automated repair and restoration, making it a more efficient technique for remanufacturing. This systematic review aims to identify the application of AM specifically in repair and restoration. The search was carried out using all accessible electronic databases. 75 articles were found that fulfilled the search criteria. The gap in each article was discovered, to provide comprehensive coverage of repairing techniques of parts made of the same or different materials. The findings show that AM technology heralds a new era of repairability. Using AM for repair and restoration shows promising results, motivating more research. In addition, AM shows transformational potential for creating, making, distributing, and repairing goods. Printing replacement components is an example of a step toward this transition. AM provides a rapid and effective repair solution when product malfunctions and specific replacement components are unavailable or limited

Item Type:	Article
Uncontrolled Keywords:	systematic literature review, additive manufacturing, repair, restoration, remanufacturing
Divisions:	Faculty of Manufacturing Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	19 Jun 2024 09:30
Last Modified:	19 Jun 2024 09:30
URI:	http://eprints.utem.edu.my/id/eprint/27090
Statistic Details:	View Download Statistic

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