Smart Integration of AI in Additive Manufacturing

Dr. M. Adam Khan is working as a Professor and Head – Department of Mechanical Engineering, and heading the Centre for Surface Engineering at Kalasalingam Academy of Research and Education, Virudhunagar, India. He completed his Post Doctoral Research from the University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa. He received his Doctoral Degree from the National Institute of Technology, Tiruchirappalli, India, and his Undergraduate and Postgraduate Degrees from Anna University, Chennai, India. His research focus is on material development for different engineering applications. He has developed nickel-based superalloys through a direct laser sintering process for high temperatures. Current his research interest has focused on metal for bio medical engineering and surface sciences. He is working in the invitro analysis on 3D printed and commercial titanium implants; before and after material processing. The research has been placed in track to report the surface quality and cell viability. In addition, the biocompatibility of the same processed materials is studied using simulated body fluids. Recently the research has been more focused to develop the titanium implant material through direct laser sintering process (DMLS) additive-built material and its post processing. Further, the material has been investigated for different property studies, including mechanical strength, surface qualities, corrosion, and oxidation behavior. Beyond his research, he is serving as a reviewer for more than 30 journals. He also had a chance to serve as Guest Lead Editor for the Journals and Books hosted by SpringerNature, Elsevier, Hindawi and Taylor & Francis publishers. He has published more than one hundred and thirty research articles in the journal of international repute. He has good knowledge of teaching-learning process (outcome-based education) evaluation. Under his supervision, two research scholars have been awarded doctoral degree.

• Introduction to Artificial Intelligence in Industry 4.0.- Role of Artificial Intelligence in Industry 4.0 Manufacturing Systems and Sustainability Applications.- Industry 5.0 in Additive Manufacturing.- Intelligent Additive Manufacturing: AI-Based Prediction and Adaptive Correction of Warping Defects in Fused Deposition Modeling.- Artificial Intelligence in Additive Manufacturing: Applications, Process Optimization and Future Directions.- Challenges and Future Perspectives for AI Applications in Additive Manufacturing.- From Vision to Reality: Virtual Reality in Additive Manufacturing.- Predictive Maintenance in Additive Manufacturing Using Artificial Intelligence: Concepts, Challenges, and Future Directions.- AI for Predictive Maintenance in Additive Manufacturing.- AI-Driven Predictive Maintenance for Sustainable Additive Manufacturing: Enhancing Reliability, Process Efficiency, and System Lifecycle Performance.- Intelligent Customization Techniques in Industrial Applications of Industry 4.0 in the Context of Additive Manufacturing.