AI-driven techniques for controlling the metal melting production: A review, processes, enabling technologies, solutions, and research challenges

15Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Chadha, U., Selvaraj, S. K., Raj, A., Mahanth, T., Praveen Vignesh, S. T., Lakshmi, P. J., … Adefris, A. (2022, July 1). AI-driven techniques for controlling the metal melting production: A review, processes, enabling technologies, solutions, and research challenges. Materials Research Express. Institute of Physics. https://doi.org/10.1088/2053-1591/ac7b70

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free