1st Edition
Artificial Intelligence and Machine Learning Pioneering the Next Generation of Mechanical Engineering
Preface
Editors
Contributors
Chapter 1 AI and ML Innovations for Sustainable Mechanical Engineering
S. M. Darshan, Pradyumna K. R, Banala Anjani Ramani, Darshan S Gowda, Pal Pandian P, Rekha.V, Rishi J P, Apoorva S
Chapter 2 Phony news detection using machine learning algorithm instant detection application.
S Rathnamala, T.Deepan, S.Mugeena
Chapter 3 Optimisation of a Convolutional Neural Network: A case study on thermophysical property prediction of nanofluids
Viswanath K. Kaimal, Nevin Nelson, Anjan R Nair
Chapter 4 AI-Driven Process Control in Hybrid Additive-Subtractive Manufacturing: Real-Time Monitoring and Optimization
Mohanraj K S, Ramanan S V, Srinivasan Palanivel, P.Rajeswari, r. M. Ramesh
Chapter 5 Multi-objective optimization using ML for tribological properties of specimen fabricated by Additive Manufacturing
Trivedi Achyut, Apurva Indrodia, Jaimin Prajapati, Aditi Prakash
Chapter 6 Development of a Hybrid ANN-GA Model for Optimizing MRR & SR in EDM
Rajesh. R, Anand. M, T.Grace Berin
Chapter 7 Multi-Objective Optimization of EDM Process Parameters Using RSM Integrated with GRA and ANN
R. Rajesh, M. Dev Anand, K.S.Jai Aultrin, T.Grace Beri
Chapter 8 AI-ML driven Predictive Modelling approach for Abrasive Flow Finishing Processes
Kadapa Vijaya Bhaskar Reddy, Bhukya Shobhan, Venkatesh Gudipadu
Chapter 9 Investigation and Multi objective Optimization of Abrasive water jet machining of hybrid aluminium composites using Machine Learning Algorithm
Jafrey Daniel James D, Muthu Chozha Rajan B, Rajeshwari R M, Thanga Aruna M, Praburam G, KarthikPandiyan G
Chapter 10 Swarm Intelligence in Friction Stir Welding: A Novel Green Manufacturing Technique
Meghnath Sen, Asit Baran Puri
Chapter 11 AI-Driven Predictive Maintenance in Manufacturing: Theoretical Foundations and Practical Applications
K. Sravanthi, T. Senthil Vadivel, Sunesh Narayanaperumal
Chapter 12 A Method for Improving the Route Framework and Autonomous Navigation for an Independent Portable Robot Using SLAM G-Mapping Applications
J. Barsana banu, J. Jeyashanthi, T. Deepika vinothini
Chapter 13 Artificial Intelligence and Machine Learning Techniques for Autonomous Unmanned Aerial Vehicles
Veeresha R K, Shilpa Karegoudra, Manisha G P
Chapter 14 AL and ML -Powered Battery Management System for Electric Vehicles
T. Rajpradeesh, P. Karthik, AM. Shanawaz, Lavish Kumar Singh, K.Arunprasath
Chapter 15 A Hybrid Deep Learning Framework for Real Time Multi-Temperature Battery State Estimation in Electric Vehicles
Abhilash K S, Shijin Kumar P S, Divya Rajan
Chapter 16 A Temporal Fusion Transformer Based Deep Learning Model for Demand Aware Lean Supply Chain Optimization
Shijin Kumar P S, Abhilash K S, Divya Rajan
Chapter 17 Towards Smarter Gait Diagnosis: Ai-Based Analysis Via Energy-Constrained Smart Footwear
R.M.Rajeshwari, M.Kaliappan
Index
Biography
S. P. Jani, PhD, is an Associate Professor in the Department of Mechanical Engineering at Marri Laxman Reddy Institute of Technology and Management, Hyderabad, India, where he has served as an educator and researcher since 2012. He completed his doctorate on the machinability of hybrid fiber/epoxy composites using abrasive water jet machining at Anna University, Chennai, Tamil Nadu, India, where he also earned his undergraduate and postgraduate degrees. His research interests encompass additive manufacturing, advanced manufacturing, machinability studies, and machining of natural fiber composites. Dr. Jani served as Editor of Materials Science and Engineering for the International Conference on Challenges in Mechanical Engineering (2021), has authored more than 50 papers in reputed international journals, and serves as a reviewer for more than 20 international journals.
B. Muthu Chozha Rajan, PhD, is a Professor in the Department of Mechanical Engineering and Sethu Research and Innovation Centre at Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India, where he has served as an educator and researcher since 2008. He completed his doctorate on carbon fiber reinforced aluminum laminates, and his research interests include additive manufacturing, natural fiber composites, and AI/ML applications in composite materials. With over 16 years of teaching experience, Dr. Rajan has significantly advanced research and education in mechanical engineering, earning recognition through prestigious awards including the Young Scientist Award. He has authored more than 20 papers in reputed international journals and serves as a reviewer for more than 10 international journals.
P. S. Shijin Kumar, PhD, is an Associate Professor in the Department of Electronics and Communication Engineering at A.R.J College of Engineering and Technology, Mannargudi, India, bringing more than 15 years of teaching experience and 1 year of industrial experience to his role as educator and researcher. He completed his doctorate in Electronics and Communication Engineering from Noorul Islam University in 2018, earned his M.E. in Communication Systems from Anna University in 2009, and obtained his B.Tech degree in Electronics and Communication Engineering from the University of Kerala, India in 2006. His research interests include image processing, embedded systems, data science, and deep learning. Dr. Kumar has authored more than 15 papers in reputed international journals and conference proceedings and is a life member of ISTE.
