Computational Modeling of Intelligent Soft Matter

Shape Memory Polymers and Hydrogels
Erscheinungsjahr 2023
ISBN: 978-0-443-19420-7
Verlag: Elsevier Science & Technology

Buch, Englisch, 300 Seiten, Gewicht: 610 g

Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multiphysics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/ chemosensitive hydrogels. Several thermo-chemo-mechanical constitutive models for these smart polymers are outlined, and their real-world applications are highlighted. The numerical counterpart of each introduced constitutive model is also presented, empowering readers to solve practical problems requiring thermomechanical responses of these materials as well as design and analyze real-world structures made of them.

Zielgruppe

<p>Materials science and mechanical engineering researchers and graduate students in the field of soft materials modeling, or constitutive modeling of soft smart materials</p> <p>Professional materials scientists and engineers</p>

Autoren/Hrsg.

Baghani, Mostafa

Baniassadi, Majid

Rémond, Yves

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Technologie der Kunststoffe und Polymere
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Werkstoffkunde, Materialwissenschaft: Forschungsmethoden
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Polymerwerkstoffe
• Naturwissenschaften Physik Thermodynamik Physik der weichen Materie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Technische Thermodynamik

Inhaltsverzeichnis

1. Intelligent Soft Matters: Need for Numerical Modeling in Design and Analysis 2. A Detailed Review on Constitutive Models for Thermo-Responsive Shape Memory Polymers (SMPs) 3. A Review on Constitutive Modeling of pH-Sensitive Hydrogels 4. Experiments on Shape Memory Polymers: Methods of Production, Shape Memory Effect Parameters, and Application 5. Shape Memory Polymers: Constitutive Modeling, Calibration, and Simulation 6. Shape Memory Polymer Composites: Nano-Composites and Corrugated Structures 7. Equiilibrium and Transient Swelling of Soft and Tough pH-Sensitive Hydrogels: Constitutive Modeling and FEM Implementation 8. Structural Analysis of Smart Hydrogels: Analytical Solutions and Finite Element Modeling 9. Structural Analysis of Different Smart Hydrogel Microvalves: The Effect of Fluid-Structure Interaction Modeling

Über Autor(innen)

Baniassadi, Majid
Dr. Majid Baniassadi is an Associate Professor at the University of Tehran's School of Mechanical Engineering. In 2011, he received his PhD in Materials Mechanics from the University of Strasbourg in France. Multiscale analysis and micromechanics of heterogeneous materials, numerical methods in engineering, and electron microscopy image processing for microstructure identification are among his research interests. Dr. Baniassadi also works with the ICube laboratory in Strasbourg on Engineering Science, Computer Science, and Imaging projects. He has served as an acting editor for the Journal of Energy Equipment and Systems since 2012. He has published over 120 scientific journal publications to date, and he is frequently called for peer evaluating submitted manuscripts as a reviewer for 6 international scientific journals. Since 2008, he has also been a member of the Iranian National Elites Foundation.

Baghani, Mostafa
Dr. Mostafa Baghani has been an Associate Professor at the University of Tehran's School of Mechanical Engineering, College of Engineering since 2012. In 2016, he became the director of the University of Tehran's Smart Materials and Structures Lab. In 2018, he was named the top young researcher at the University of Tehran, out of almost 300 professors under the age of 40. In the framework of continuum mechanics, his research focuses on smart material production, design, and constitutive modeling. He has also focused on computer modeling of proposed constitutive models, which are frequently developed using the nonlinear finite element method. He has over 170 journal papers to his credit and has served as a reviewer for over 30 international journals.

Rémond, Yves
Prof. Yves Rémond is a Distinguished Professor (Exceptional Class) at Strasbourg University in France. He is working at Icube (Engineering Science, Computer Science, and Imaging Laboratory), which is affiliated with both the University of Strasbourg and the CNRS. He teaches in the fields of continuum mechanics, polymer mechanics, composite materials, and mechano-biology at the European Engineering School of Chemistry, Polymers, and Materials Science (ECPM). He graduated from the Ecole Normale Supérieure de Cachan (now Paris-Saclay) with a degree in mechanics and obtained his PhD from the University Paris VI in 1984. (Pierre et Marie Curie). He has been the Scientific Deputy Director of INSIS, the Institute for Engineering and Systems Sciences, at the CNRS headquarters in Paris since 2012. He was also a member of the Academic Palms Order as an officer. In the fields of composite materials, polymers, and bioengineering, he advised over 30 PhD and Habilitation students and wrote about 150 scholarly papers.