摘要
Metallic adding manufacturing, otherwise referred to as metal 3d printing, has become an operating paradigm in Manufacturing, which will revolutionize the creation of intricate, advanced parts in hundreds of sectors. It is a research paper that is a descriptive and comprehensive synoptic survey of the modern eternity in metal AM. The paper has begun with historical account of how metal AM has developed throughout the rapid prototyping into a successful technology in manufacturing the final parts of its product. The key AM technologies have been elaborated and these are Powder Bed Fusion (PBF), Directed Energy Deposition (DED), and Binder Jetting (BJ). The fundamentals, advantages as well as the limitations of both processes are highly criticized. Next pay attention to the editorial section of this review, which is devoted to the materials science of printable metal alloys and addresses a fairly wide range of materials of titanium alloys, nickel diesel alloys, stainless steel alloys, aluminum alloys, and cobalt-chrome alloys. The Microstructures and mechanical properties resulting as such due to the layer-wise manufacturing strategy are examined, together with the pivotal contribution of postprocessing methods to attain the desired material properties. Its paper is detailed and Thomus outlines the numerous effective and beneficial uses of metal AM across several industrial areas such as aerospace, medical and automobile. Sure and definite advantages of metal AM, including weight loss, part consolidations and the production of personalized medical implants are illustrated using case studies and examples. More so, the paper discusses the which have prevailed, related to the inability to err, limitations and difficulties of metal AM, such as cost constraints, scalability, quality assurance and in standardization. Lastly, at the end of the paper, a perspective to the future regarding the trend and direction of research in the field of metal AM is noted indicating that it is possible to obtain new materials, develop exercise monitoring and control, and introduce the use of artificial intelligence and machine learning to expand the advances of this groundbreaking technology