Addressing the challenges in remanufacturing by laser-based material deposition techniques

Increased focus on reduction of impact on the environment has put the aspect of remanufacturing in the spotlight, and remanufacturing of high-value engineering components is gradually becoming a mainstream practice. Out of different alternatives, laser-based deposition has been the central choice for remanufacturing, thanks to its accuracy, and precision. However, considering the complex process physics involved in laser-based remanufacturing processes, it is essential to establish the reliability of the process so that certifiable remanufactured parts can be produced. This work provides a comprehensive analysis of the issues encountered during laser-based remanufacturing, and the different approaches to address them. Apart from covering the state-of-the-art of remanufacturing by laser-based deposition, this article also discusses tools like deep learning, and digital twin which are still in their early phases in terms of applications in the remanufacturing domain.