1st Edition

Sustainable Materials The Role of Artificial Intelligence and Machine Learning

    214 Pages 10 Color & 104 B/W Illustrations
    by CRC Press

    The superior multi-functional properties of polymer composites have made it suitable for biomedical, defense, automobile, agriculture, and domestic applications. The growing demand for these composites calls for an extensive investigation of their physical, chemical, and mechanical behaviour under different exposure conditions. Characterization techniques are vital, and considering the extensive investigations and given the number of parameters, also complex.

    The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.


    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



    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. Mail id: [email protected]

    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 23 publications in Web of Science and 61 publications in Scopus indexed journals. He has received 18 awards, appreciation and recognitions by different national & international organizations/institutions/agencies for contribution in Academics & Research work. Mail id: [email protected]

    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 past research work has had direct impacts on sustainability through the use of non-traditional machining and surface engineering.

    Affiliation: University of Kentucky; Mail id: [email protected]