Computational Modeling of Intelligent Soft Matter: Shape Memory Polymers and HydrogelsКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Computational Modeling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels Автор: Mostafa Baghani, Majid Baniassadi, Yves Remond Издательство: Elsevier Год: 2023 Страниц: 383 Язык: английский Формат: pdf (true), epub Размер: 34.1 MB
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.
Smart materials are a type of materials that can respond to their environment and surroundings. In other words, smart materials can be defined as materials that can remember configurations by a proper stimulation. This property of smart materials has attracted a great deal of interest in various applications, such as automotive, aerospace, textile, robotics, and medical industries. Shape memory polymers (SMPs) are a division of smart materials capable of deforming to their permanent shape. When these materials are heated up to a temperature higher than the glass transition temperature (Tg), polymeric chains of the material weaken and can easily slide on each other. Therefore by applying a low force, material can be deformed into a desired shape. Then, by cooling to a temperature lower than Tg, the temporary shape is maintained and by increasing the temperature higher than Tg, the material automatically restores its initial shape. SMPs with different glass transition temperatures are introduced during last decades.
In almost all previous books on smart polymers, attention is mostly paid to microstructural phenomena responsible for the smartness of the material. There is no book available in the literature that is fully devoted to continuum-mechanics and numerical aspects of different types of smart polymeric materials. It is aimed in this book to introduce constitutive models for thermo-responsive shape memory polymers and smart hydrogels developed on the basis of continuum thermodynamics. Calibration methods for identifying material model parameters as well as finite element implementation of the presented models are discussed. With the aid of these tools, one is able to tackle practical problems, which require thermomechanical response of these soft materials, and design or analyze real-world structures made of these smart polymers, for example, in cardiovascular stents, smart micro-valves and actuators. It should be noted that the time-discrete counterpart of these constitutive models should be developed for example in nonlinear finite element framework. For each introduced constitutive model, its numerical implementation is also reported. Using these constitutive models some interesting applications are presented.
Introduces constitutive models based on continuum thermodynamics for intelligent soft materials Presents calibration methods for identifying material model parameters as well as finite element implementation of the featured models Allows readers to solve practical problems requiring thermomechanical responses from these materials as well as the design and analysis of real-world structures made from them
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Computational Modeling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels 
Название: Computational Modeling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels
