Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multi-physics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/light/chemo-sensitive hydrogels. Several thermo-chemo-mechanical constitutive models for these smart polymers are outlined, with their real-world applications highlighted. The numerical counterpart of each introduced constitutive model is also presented, thus empowering readers to solve practical problems requiring thermomechanical responses of these materials as well as design and analyze real-world structures made from them.
1. Computational Modeling of Intelligent Soft Matter - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Dedication - p. Page v 7. Contents - p. Page viii 8. About the authors - p. Page viii 9. Preface - p. Page x 10. Acknowledgments - p. Page xi 11. List of Illustrations - p. Page xiv 12. List of Tables - p. Page xv 13. 1 : Intelligent soft matters: need for numerical modeling in design and analysis - p. Page xv 14. 2 : A detailed review on constitutive models for thermoresponsive shape memory polymers - p. Page 12 15. 3 : Experiments on shape memory polymers: methods of production, shape memory effect parameters, and application - p. Page 61 16. 4 : Shape memory polymers: constitutive modeling, calibration, and simulation - p. Page 124 17. 5 : Shape memory polymer composites: nanocomposites and corrugated structures - p. Page 156 18. 6 : Shape memory polymer metamaterials based on triply periodic minimal surfaces and auxetic structures - p. Page 205 19. 7 : A review on constitutive modeling of pH-sensitive hydrogels - p. Page 240 20. 8 : Equilibrium and transient swelling of soft and tough pH-sensitive hydrogels: constitutive modeling and FEM implementation - p. Page 263 21. 9 : Structural analysis of different smart hydrogel microvalves: the effect of fluid–structure interaction modeling - p. Page 309 22. Index - p. Page 346
Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multi-physics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/light/chemo-sensitive hydrogels. Several thermo-chemo-mechanical constitutive models for these smart polymers are outlined, with their real-world applications highlighted. The numerical counterpart of each introduced constitutive model is also presented, thus empowering readers to solve practical problems requiring thermomechanical responses of these materials as well as design and analyze real-world structures made from them.
1. Computational Modeling of Intelligent Soft Matter - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Dedication - p. Page v 7. Contents - p. Page viii 8. About the authors - p. Page viii 9. Preface - p. Page x 10. Acknowledgments - p. Page xi 11. List of Illustrations - p. Page xiv 12. List of Tables - p. Page xv 13. 1 : Intelligent soft matters: need for numerical modeling in design and analysis - p. Page xv 14. 2 : A detailed review on constitutive models for thermoresponsive shape memory polymers - p. Page 12 15. 3 : Experiments on shape memory polymers: methods of production, shape memory effect parameters, and application - p. Page 61 16. 4 : Shape memory polymers: constitutive modeling, calibration, and simulation - p. Page 124 17. 5 : Shape memory polymer composites: nanocomposites and corrugated structures - p. Page 156 18. 6 : Shape memory polymer metamaterials based on triply periodic minimal surfaces and auxetic structures - p. Page 205 19. 7 : A review on constitutive modeling of pH-sensitive hydrogels - p. Page 240 20. 8 : Equilibrium and transient swelling of soft and tough pH-sensitive hydrogels: constitutive modeling and FEM implementation - p. Page 263 21. 9 : Structural analysis of different smart hydrogel microvalves: the effect of fluid–structure interaction modeling - p. Page 309 22. Index - p. Page 346
