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Thermoforming Modeling and Simulation: A Multiphysics Approach concentrates on the modeling and optimization of thermoforming, as well as identifying the structural behavior of thermoplastics used for thermoforming. This book demonstrates the expertise gained through industrial and academic projects in technical transfer. It also illustrates the research and development skills in experimental and numerical modeling of thermoforming. The problem of identifying laws of behavior from experimental data (rheological or mechanical tests in large deformations), using algorithms such as neural networks, is also addressed. Through its Multiphysics content, this book is helpful for researchers, teachers and industrialists interested in new advances in thermoforming (characterization of materials, modeling and optimization). Introduces the use of artificial intelligence for viscoelastic and hyperelastic identification of thermoplastics in large deformationsPresents integrated thermoforming modeling (including fluid-structure coupling)Models the effects of mold temperature on cooling and i degrees of crystallinity induced in semi-crystalline polymers
