1st Edition
Sustainable Materials The Role of Artificial Intelligence and Machine Learning
Preface
1. Artificial Intelligence in Material Science
Sarvat Zafar, and Nadim Rana
2. Data Driven Artificial Intelligence Based Approach for the Determination of Structural Stress Distribution in ASTM D3039 Tensile Specimens of Carbon-Epoxy and Kevlar-Epoxy Based Composite Materials
Akshansh Mishra, Vijaykumar S. Jatti, and Ashwini Vijaykumar Jatti
3. Image Segmentation for Evaluating the Microstructure Features obtained from Magnesium Composites Processed through Squeeze Casting
Anish Dasgupta, and Dhruba jyoti Sadhukhan
4. Experimental Investigation of Bagasse Ash in Concrete Material
Pratibha S. Agrawal, Pramod N. Belkhode, and Sarika Modak
5. Computational Material Science for Cheminformatics Feature Descriptive Language (CFDL) with Categorical Data
Chandrasekaran S., Lakshmi D., Priya M., and Neelu Nagpal
6. Explicit Dynamic Crash Analysis of a Car using a Metal, Composite Material and an Alloy
Pawandeep Dhall, Vijaykumar S. Jatti, and Nitin Solke
7. Optimizing Friction Stir Spot Welded ABS Weld Strength using JAYA and Cohort Intelligence Algorithm
Rithvik Nair, Shreya Joshi, Kaustubh Dwivedi, Mandar S. Sapre, and Ashwini V. Jatti
8. Supervised Machine Learning Based Classification of Dimensional Deviation of FDM 3D Printed Samples
Shreya Joshi, Rithvik Nair, Kaustubh Dwivedi, Bhargav Gadhiya, Mandar S. Sapre, Ashwini V. Jatti
9. Polymer Composite Flexural Strength Estimation using K-Nearest Neighbouring Classification Algorithm
Dhruv A. Sawant, and Ashwini V. Jatti
10. Supervised Machine Learning Based Classification of Surface Roughness of Fused Deposition Modeling3D Printed Samples
Rithvik Nair, Shreya Joshi, Kaustubh Dwivedi, Bhargav Gadhiya, Mandar S. Sapre, and Ashwini V. Jatti
11. Polymer Composite Impact Strength Estimation using K-Nearest Neighbouring Classification Algorithm
Dhruv A. Sawant, and Ashwini V. Jatti
Index
Biography
Akshansh Mishra is pursuing a Master's in Materials Engineering and Nanotechnology at Politecnico Di Milano, Milan, Italy. He works on the application of Artificial Intelligence-based algorithms in the Manufacturing and Materials sectors. His main research interests are Cognitive Computing, Advanced Manufacturing, Explainable Artificial Intelligence (XAI), Machine Learning, Natural Language Processing, Nature-based optimization algorithms, and Composite Materials.
Vijaykumar S Jatti is an Associate Professor at Symbiosis Institute of Technology, Pune, India. His main research interests are Machine Learning, Mechanical Design, Material Science, Conventional & Non-Conventional Machining Processes, Additive Manufacturing, and Bio-Materials (Metals, Ceramics and Polymers). He has several publications in WoS and Scopus indexed journals. He has received 18 awards in academics & research works.
Shivangi Paliwal is pursuing a Ph.D. in Mechanical Engineering, at the University of Kentucky, USA. Before joining the University of Kentucky, she worked as a Junior Research Fellow at the Indian Institute of Technology, Mumbai, India. Her research work integrates experimental and numerical simulation techniques to leverage the potential of additive manufacturing. Her research work reviews sustainability through the use of non-traditional machining and surface engineering.
