Advances in Dielectric Elastomer Composites

A Nonlinear Elasticity Framework

Masoud Asgari (KN Toosi University of Technology, Iran), Marzie Majidi

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Hardback

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English

CRC Press
24 March 2025

Engineering: general; Mechanical engineering; Materials science; Electrical engineering; Electronics engineering

This is a comprehensive guide to dielectric elastomer composites (DECs), which play an integral role in new electromechanically active smart-material technologies.

Introducing the basic concepts behind DECs, the book is accessible to readers at all levels. It demonstrates how to implement practical problem-solving methods through nonlinear continuum mechanics and also discusses fiber-reinforced anisotropic DE composites and the electromechanically coupled behavior of anisotropic fiber-reinforced DEs. Using practical examples throughout, it proposes models which utilize the strain energy function, nonlinear electro-elasticity, and nonlinear continuum mechanics. It presents clear guidelines for creating practical nonlinear finite element code, and introduces the reader to hyperelasticity.

The book will be an accessible reference guide for students, researchers, and engineers in the field of mechanical engineering, bioengineering, materials science, aeronautics, and robotics.

By: Masoud Asgari (KN Toosi University of Technology Iran), Marzie Majidi
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 550g
ISBN: 9781032945644
ISBN 10: 1032945648
Pages: 190
Publication Date: 24 March 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Part I: Fundamentals 1. Fundamentals of Dielectric Elastomers 2. Anisotropic Dielectric Elastomer Composites Part II: Mathematical Modeling 3. Hyperelasticity Frame Work for Electromechanical Characteristics 4. Modeling of Visco-Hyperelasticity Effects 5. Transient and Dynamic Modeling 6. Computational Aspects Part III: Applications and Implementation 7. Practical Applications of Multi-Layers Fiber-Reinforced Dielectric Elastomer Composites 8. Numerical Implementation of Practical Case Studies

Masoud Asgari is an Associate Professor of Mechanical Engineering at K. N. Toosi University of Technology in Tehran, Iran. He has made significant contributions to both academia and industry. Dr. Asgari earned his PhD from Amirkabir University of Technology (Tehran Polytechnic) with distinction, following his excellent undergraduate and master's studies at Sharif University of Technology. Both his dissertation and thesis received the highest honors, reflecting his dedication and academic excellence. His research focuses on Lightweight Construction, Additive Manufacturing, and the development of Functional Materials. Dr. Asgari's contributions have gained international recognition, with research stays at prestigious institutions such as the University of Modena and Reggio Emilia (Italy) and Bern University of Applied Sciences (Switzerland). In recognition of his impactful work, he has been named in the Stanford-Elsevier Ranking of the Top 2% Highly Cited Scientists in 2022 and 2023. In 2024, he was awarded a prestigious Alexander von Humboldt Research Fellowship for experienced researchers. Dr. Asgari also serves as a reviewer for leading journals indexed in the Web of Science, contributing to the advancement of knowledge in Mechanical Engineering. Marzie Majidi received her Ph.D. degree in mechanical engineering K. N. Toosi University of Technology in Tehran, Iran, in 2023. Her research focused on modeling dielectric and magnetorheological elastomers, key materials for innovative actuators. Dr. Majidi is currently at Saipa Automative Industries Research Innovative Center (AIRIC), working on Noise, Vibration, and Harshness (NVH) analysis as a CAE expert. She received the M.Sc. and B.Sc. degrees in mechanical engineering from University of Tehran (UT), in 2017, and Buali Sina university, in 2014. Her research has been on modeling of dielectric and magnetorheological elastomers, Topological Interlocking Material (TIMs), finite element methods, and automative NVH analysis.