Machine Learning and Artificial Intelligence for Advanced Materials Processing: A review on opportunities and challenges

¹ Department of Mechanical Engineering, GLA University, Mathura, UP, India
² Department of Aeronautical Engineering, Institute of Aeronautical Engineering, Hyderabad, Telangana
³ Lovely Professional University, Phagwara, India
⁴ National University of Science and Technology, Dhi Qar, Iraq
⁵ Department of Applied Sciences, New Horizon College of Engineering, Bangalore, India
⁶ Lloyd Institute of Engineering & Technology, Greater Noida, Uttar Pradesh 201306

^* Corresponding author: srishashank@gmail.com

Abstract

This research paper explores the opportunities and challenges associated with the use of machine learning and artificial intelligence in advanced materials processing. With the exponential growth of data, advanced analytical techniques and powerful computational tools, machine learning and artificial intelligence can be leveraged to develop novel materials with tailored properties, enhance process optimization, and improve manufacturing efficiencies. However, the integration of these technologies into materials processing systems is not without challenges, including data acquisition and pre-processing, algorithm selection and optimization, and the interpretation of results. This paper provides an overview of the state-of-the-art in machine learning and artificial intelligence for advanced materials processing, highlighting case studies and examples of successful applications, and identifying potential future research directions. The goal of this research is to provide insights and recommendations to accelerate the adoption of these technologies and their impact on the development of advanced materials.