Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Dec 10:7:e808.
doi: 10.7717/peerj-cs.808. eCollection 2021.

Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential

Siti Syahara Mad Yusoh  1 , Dzuraidah Abd Wahab  1   2 , Hiyam Adil Habeeb  1   3 , Abdul Hadi Azman  1   2
Affiliations

Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential

Siti Syahara Mad Yusoh et al. PeerJ Comput Sci. .

Abstract

The conventional component repair in remanufacturing involves human decision making that is influenced by several factors such as conditions of incoming cores, modes of failure, severity of damage, features and geometric complexities of cores and types of reparation required. Repair can be enhanced through automation using additive manufacturing (AM) technology. Advancements in AM have led to the development of directed energy deposition and laser cladding technology for repair of damaged parts and components. The objective of this systematic literature review is to ascertain how intelligent systems can be integrated into AM-based repair, through artificial intelligence (AI) approaches capable of supporting the nature and process of decision making during repair. The integration of intelligent systems in AM repair is expected to enhance resource utilization and repair efficiency during remanufacturing. Based on a systematic literature review of articles published during 2005-2021, the study analyses the activities of conventional repair in remanufacturing, trends in the applications of AM for repair using the current state-of-the-art technology and how AI has been deployed to facilitate repair. The study concludes with suggestions on research areas and opportunities that will further enhance the automation of component repair during remanufacturing using intelligent AM systems.

Keywords: Additive manufacturing; Artificial intelligence; Conventional methods; Intelligent systems; Repair and restoration.

PubMed Disclaimer

Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. Remanufacturing process (Jiang, 2016).
The general processes involved in remanufacturing.
Figure 2
Figure 2. Process flow for a systematic review of related articles.
Illustration of the process flow for the systematic review of related articles.
Figure 3
Figure 3. Schematic diagram of (A) PBF and (B) powder-based directed deposition (Saboori et al., 2017).
Schematic diagram of PBF and DED.
Figure 4
Figure 4. Repair of a gas turbine burner tip.
Example of a component that can be repaired using PBF is the burner tip of a gas turbine using SLM technology.
Figure 5
Figure 5. Application of cold spray technology (A) Before repair (B) After repair.
The cold spray technology that has been used for repairing damaged and corroded materials.
Figure 6
Figure 6. Bearing housing repair using LENS technology.
Examples of damaged components that have been repaired using LENS.
Figure 7
Figure 7. Compressor seal repair using LENS technology.
Examples of damaged components that have been repaired using LENS.
See this image and copyright information in PMC

References

    1. Afrinaldi F, Liu Z, Taufik, Zhang HC, Hasan A. The advantages of remanufacturing from the perspective of eco-efficiency analysis: a case study. Procedia CIRP. 2017;61:223–228. doi: 10.1016/j.procir.2016.11.161. - DOI
    1. Akinode JL, Oloruntoba SA. Artificial intelligence in the transition to circular economy. American Journal of Engineering Research (AJER) 2020;9:185–190.
    1. Al Handawi K, Andersson P, Panarotto M, Isaksson O, Kokkolaras M. Scalable set-based design optimization and remanufacturing for meeting changing requirements. Journal of Mechanical Design. 2020;143:021702. doi: 10.1115/1.4047908. - DOI
    1. Amelia L, Wahab DA, Che Haron CH, Muhamad N, Azhari CH. Initiating automotive component reuse in Malaysia. Journal of Cleaner Production. 2009;17(17):1572–1579. doi: 10.1016/j.jclepro.2009.06.011. - DOI
    1. Andrew-Munot M, Ibrahim RN. Remanufacturing process and its challenges. Journal of Mechanical Engineering and Sciences. 2014;4:488–495.

LinkOut - more resources