Green and Smart Polymer Composites

Bridging Materials Science and Intelligent Technologies
1. Auflage 2026
ISBN: 978-1-77964-454-1
Verlag: Apple Academic Press Inc.

Buch, Englisch, 372 Seiten, Format (B × H): 152 mm x 229 mm

The field of polymer composite materials enables the development of lightweight, durable, and multifunctional materials for industries ranging from aerospace to consumer goods. With advances in computational intelligence (CI), the design, modeling, and analysis of these materials have reached new levels of precision and efficiency. This volume connects materials science with smart engineering, presenting current research on polymers and composites alongside CI techniques and practical applications.

The volume explores mechanical characteristics, fatigue and creep behavior, thermal behavior, vibrational analysis, testing, and modeling, with applications across the medical, aerospace, automotive, naval, energy, civil, manufacturing, and electronics sectors. Topics include collagen-based biomedical materials; waste plant fiber-reinforced composites; natural fibers and environmental sustainability; 3D scaffolds for tissue regeneration; surface treatments and property optimization; and natural fiber-reinforced PVC composites. The book also examines the growing role of artificial intelligence and machine learning in predicting material properties and modeling polymer solutions.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Dutta, Pijush

Das, Mahuya

Haldar, Barun

Cengiz, Korhan

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Technologie der Textilverarbeitung und Faserverarbeitung

Inhaltsverzeichnis

Foreword by Dipankar Chattopadhyay, PhD Preface PART I: FUNDAMENTALS OF POLYMER COMPOSITE MATERIALS 1. An Introduction to Polymer-Based Composites 2. Collagen-Based Materials: Applications to Biomedicine, Tissue Engineering, and Prosthetics PART II: MATERIAL MODELING AND ANALYSIS OF POLYMER COMPOSITE MATERIALS 3. Waste Plant Fiber-Reinforced Polymer Composites and Their Biodegradability 4. Natural Fibers for a Safer and Better Environment 5. Fundamentals of Advanced Nontraditional Hybrid Micromachining Processes for Nonconducting Composite Materials 6. Transforming Tissue Regeneration: Exploring 3D Scaffold Architectures 7. Surface Treatment of Natural Fiber-Reinforced Polymer Composites for Optimization of Properties 8. Natural Fiber-Reinforced PVC Composites for Property Modification and Optimization PART 3: COMPUTATIONAL INTELLIGENCE TECHNIQUES ON POLYMER COMPOSITE MATERIALS 9. Artificial Intelligence in Predicting Properties of Composite Materials: Recent Trends, Challenges, and Future Perspectives 10. AI-Based Prediction Model for Viscosity of Polymer Solutions with the Effects of Shear Rate, Concentration, and Temperature Using a Machine Learning Approach 11.Natural Fiber-Reinforced Polymer Composites and Their Applications in Computational Intelligence12. Stacked Artificial Neural Networks for Advanced Material Prediction: A Data-Driven Approach to Modeling PART 4: APPLICATIONS AND CASE STUDIES ON POLYMER COMPOSITE MATERIALS 13. Advancements in Polymeric Composite Design for Enhanced Bone Tissue Engineering 14. An Investigation of the Mechanical Properties and Morphological Analysis of Carbon Fibre Powder Reinforced Hybrid Polymer Composite Index

Über Autor(innen)

Pijush Dutta, PhD, is Assistant Professor and Head of Electronics & Communication Engineering at Greater Kolkata College of Engineering and Management, India. His research spans intelligent systems, IoT, machine learning, deep learning, optimization, and control systems. He has published more than 100 research articles and 12 books and holds 14 patents.

Mahuya Das, PhD, is Professor of Chemistry at Bankura Zilla Saradamani Mahila Mahavidyapith, India, and is associated with the University of Calcutta as guest faculty and PhD supervisor. Her research focuses on polymer composites, nanomaterials, advanced materials, and packaging. She has published more than 90 scientific papers and holds six patents.

Barun Haldar, PhD, is a university Professor in Saudi Arabia, appointed to the Industrial Engineering Department at Imam Mohammad Ibn Saud Islamic University. His research interests include mechanical and industrial engineering and sustainable manufacturing. He has published more than 90 scientific papers and holds one US and two Indian patents.

Korhan Cengiz, PhD, is Associate Professor of Electrical-Electronics Engineering at Biruni University, Türkiye. His research encompasses wireless sensor networks, communications, IoT, signal processing, positioning systems, and 5G. He has published more than 40 SCI/SCI-E articles, holds five international patents, and is a senior member of IEEE.