| Title | Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential |
|---|---|
| ID_Doc | 19437 |
| Authors | Yusoh, SSM; Abd Wahab, D; Habeeb, HA; Azman, AH |
| Title | Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential |
| Year | 2021 |
| Published | |
| 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. |
| https://doi.org/10.7717/peerj-cs.808 |
Similar Articles
| ID | Score | Article |
|---|---|---|
21018
|
Kanishka, K; Acherjee, B A systematic review of additive manufacturing-based remanufacturing techniques for component repair and restoration br(2023) | |
| 16655
|
Rahito; Wahab, DA; Azman, AH Additive Manufacturing for Repair and Restoration in Remanufacturing: An Overview from Object Design and Systems Perspectives(2019)Processes, 7, 11 | |
| 23076
|
De Simone, V; Luisi, G; Macchiaroli, R; Fruggiero, F; Miranda, S Artificial Intelligence in Remanufacturing Contexts: Current Status and Future Opportunities(2024) | |
| 16735
|
Ganter, NV; Ehlers, T; Oel, M; Behrens, BA; Müller, P; Hübner, S; Althaus, P; Bode, B; Lachmayer, R Do Additive Manufacturing Processes Enable More Sustainable Products? Circulation of Metallic Components Through Repair and Refurbishment by the Example of a Deep-Drawing Tool(2023) |