AI-driven techniques for controlling the metal melting production: a review, processes, enabling technologies, solutions, and research challenges. (1st July 2022)

• Record Type: Journal Article
• Authors: Chadha, Utkarsh; Selvaraj, Senthil Kumaran; Raj, Aditya; Mahanth, T; Praveen Vignesh, S T; Lakshmi, Pasham Janani; Samhitha, K; Reddy, Nagireddy Bharath; Adefris, Addisalem
• Is Part Of: Materials research express. Volume 9:Number 7(2022)
• Publication Date: 2022-07-01
• Subjects: metal melting -- casting technology -- artificial intelligence -- furnaces -- additive manufacturing; Materials science -- Research -- Periodicals; Materials science -- Periodicals; 620.11
• DOI: 10.1088/2053-1591/ac7b70
• Languages: English
• ISSNs: 2053-1591

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.