Review of Machine Learning Methods in Subtractive Machining

Abstract

The manufacturing industry has experienced significant transformations with the introduction of machine learning and artificial intelligence techniques. This review paper aims to provide a comprehensive understanding of the applications of machine learning in the machining industry. The paper discusses several research papers that have been published in recent years, highlighting the methodologies used and the findings obtained. The focus of this review paper is on the use of machine learning techniques for tool breakage detection, anomaly detection, and predictive maintenance in the machining industry. The paper also discusses the use of machine learning techniques for monitoring precision grinding and controlling surface roughness. Finally, the paper concludes with future research directions for machine learning in the machining industry.