Machine Learning Frameworks for Additive Manufacturing – A Review

Authors

  • N.Anbuchezhian, M.Priyadharshini, Balaji Devarajan, A.K.Priya, L.Rajeshkumar

Abstract

The manufacturing is the one demands the world every second, even lesser than that time. Nowhere human can’t survey without products around them. Products made life easier, better, comfortable, sustainable as well as safer. So, this put humans in a place wherein they have to develop products at a faster phase with high quality. The researchers by holding this a breath came up additive manufacturing which could make the products faster, customizable with high quality. The emphasis in products always given to quality wherein it is nowadays driven by the latest techniques like Machine Learning (ML), deep learning and artificial intelligence. This paper focuses on the hybrid combination of how the ML is embedded with the Additive Manufacturing (AM). The short review depicts the role of ML in AM wherein the printing quality is enhanced one or another. In an overview, the framework plays a pivotal role to achieve or build the entire system, so that the latest frameworks are primarily consolidated in this article.

Keywords- Machine Learning; Additive Manufacturing; Machine Learning framework; Archietecture

Published

2020-12-07

Issue

Section

Articles