1st Edition
Sustainable Utilization of Industrial Wastes as Reinforcement in Composite Materials
1. Recent Opportunities, Challenges, Characterization, and Applications of Industrial Wastes 2. Advancements in Composite Materials: Harnessing Industrial Wastes through Artificial Intelligence, Computational Intelligence, and Machine Learning 3. Mechanical and Tribological Characteristics of Industrial Waste-Filled Polymer Composites 4. A Scientometric and Comprehensive Review of Utilization of Industrial Waste Materials in Composites for Wind Turbine Blade Applications 5. Composite Materials: Pioneering Sustainable Development through Energy Efficiency and Emission Reduction 6. Current Insights into the Mechanical and Thermal Characteristics of Silk Fibre-Based Polymer Composites 7. Effect of Marble Dust-Reinforced Polymer Matrix Composite for Household Applications: A Review 8. Mechanical and Tribological Characteristics of Industrial Waste-Reinforced Composites: A Comparative Study 9. Utilization of Industrial Waste in Aluminum Matrix Composites: Advancing Sustainable Growth 10. Wear Analysis of Industrial Waste-Reinforced Surface Composite (AA5083/SiC) Fabricated through Friction Stir Process 11. Mechanical and Microstructural Characterisation for GMAW Welded Joints of AA7475 T7351 Alloy 12. Applications of Industrial Waste-Based Composites for Anti-Corrosion/Anti-Wear Coatings and for Civil Engineering Infrastructures 13. Mechanical and Tribological Characteristics of Industrial Waste-Reinforced Ceramic Composites 14. Industrial Waste Usage, along with Ceramic Matrix Composites and Bio-Based Composites 15. Utilization of Industrial Wastes to Strengthen Bio-Based Composites/Biocomposites 16. Production of Bioactive Composite Materials from Agro-Food Industrial Waste as a Contribution to the Circular Economy 17. Unlocking Industrial Waste: Opportunities, Challenges, and Future Prospects 18. Utilization of Waste Marble Dust in Kevlar Composites: A Sustainable Approach to Military and Protective Applications
Biography
Mukesh Kumar is an associate professor in the Department of Mechanical Engineering at Malaviya National Institute of Technology, Jaipur, Rajasthan, India. He earned his Ph.D. in multi‑ingredient friction composites. It deepens his expertise in R&D work related to composites, specifically polymer and metals/alloy matrix‑based composites. He has proven his domain‑specific dedication through 14 UG projects, 16 PG projects, and 4 Ph.D. projects. About 1 UG batch of 4 students, 1 PG student, and 2 Ph.D. projects are under his current supervision. He published over 55 research articles in prestigious SCI/Scopus journals published by reputable publishing houses like Taylor & Francis. In addition, he authored seven book chapters and seven reference books.
Dr. Ashiwani Kumar is an assistant professor in the Department of Mechanical Engineering at Feroze Gandhi Institute of Engineering and Technology, Raebareli, UP, India. He has shown excellent research expertise in the broad domain areas of tribology, nanomaterials, composite materials, and biomaterials. He had completed several projects funded by various agencies. He published over 50 papers in refereed SCI/Scopus journals published by reputable publishing houses like Taylor & Francis. Additionally, he authored about ten reference books and ten book chapters with renowned publishers. He has been awarded three patents.
Mr. Shivam Mishra is a research scholar in the Department of Mechanical Engineering at Malaviya National Institute of Technology (MNIT), Jaipur, Rajasthan, India. He is a young, dynamic researcher specializing in composite materials and tribological analysis. He has authored more than ten research papers published in reputed SCI/Scopus‑indexed journals and international conferences, published by reputable publishing houses like Taylor & Francis. His innovative work on integrating machine learning techniques for developing predictive models related to wear behavior and composite performance has received recognition and appreciation from leading research groups in the field.






