Abstract
Abstract
Artificial Intelligence has left no stone unturned, and mechanical engineering is one of its biggest consumers. Such technological advancements in metal melting can help in process simplification, hazard reduction, human involvement reduction & lesser process time. Implementing the AI models in the melting technology will ultimately help various industries, i.e., Foundry, Architecture, Jewelry Industry, etc. This review extensively sheds light on Artificial Intelligence models implemented in metal melting processes or the metal melting aspect, alongside explaining additive manufacturing as a competitor to the current melting processes and its advances in metal melting and AI implementations.
Subject
Metals and Alloys,Polymers and Plastics,Surfaces, Coatings and Films,Biomaterials,Electronic, Optical and Magnetic Materials
Reference107 articles.
1. Effect of solid subcooling on natural convection melting of a pure metal;Beckermann;J. Heat Transfer.,1989
2. Enthalpy-porosity technique for modeling convection–diffusion phase change: application to the melting of a pure metal;Brent;Numerical Heat Transfer, Part A Applications,1988
3. Melting and solidification of a pure metal on a vertical wall;Gau;J. Heat Transfer.,1986
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献