Advancements in Laser Wire-Feed Metal Additive Manufacturing: A Brief Review
Mohammad Abuabiah,
Natago Guilé Mbodj,
Bahaa Shaqour,
Luqman Herzallah,
Adel Juaidi,
Ramez Abdallah,
Peter Plapper
Affiliations
Mohammad Abuabiah
Mechanical and Mechatronics Engineering Department, Faculty of Engineering and Information Technology, An-Najah National University, Nablus P.O. Box 7, Palestine
Natago Guilé Mbodj
Department of Engineering, University of Luxembourg, 6, Rue-Kalergi, L-1359 Luxembourg, Luxembourg
Bahaa Shaqour
Mechanical and Mechatronics Engineering Department, Faculty of Engineering and Information Technology, An-Najah National University, Nablus P.O. Box 7, Palestine
Luqman Herzallah
Mechanical and Mechatronics Engineering Department, Faculty of Engineering and Information Technology, An-Najah National University, Nablus P.O. Box 7, Palestine
Adel Juaidi
Mechanical and Mechatronics Engineering Department, Faculty of Engineering and Information Technology, An-Najah National University, Nablus P.O. Box 7, Palestine
Ramez Abdallah
Mechanical and Mechatronics Engineering Department, Faculty of Engineering and Information Technology, An-Najah National University, Nablus P.O. Box 7, Palestine
Peter Plapper
Department of Engineering, University of Luxembourg, 6, Rue-Kalergi, L-1359 Luxembourg, Luxembourg
Laser Wire-Feed Metal Additive Manufacturing (LWAM) is a process that utilizes a laser to heat and melt a metallic alloy wire, which is then precisely positioned on a substrate, or previous layer, to build a three-dimensional metal part. LWAM technology offers several advantages, such as high speed, cost effectiveness, precision control, and the ability to create complex geometries with near-net shape features and improved metallurgical properties. However, the technology is still in its early stages of development, and its integration into the industry is ongoing. To provide a comprehensive understanding of the LWAM technology, this review article emphasizes the importance of key aspects of LWAM, including parametric modeling, monitoring systems, control algorithms, and path-planning approaches. The study aims to identify potential gaps in the existing literature and highlight future research opportunities in the field of LWAM, with the goal of advancing its industrial application.
