Model and simulate chemical reactions that create plastics and polymers
Understanding Modeling and Simulation of Polymerization Reactions fills a critical gap in existing literature by teaching the science behind polymer design using advanced mathematical and computational methods and providing tools to predict and control how polymers are formed. The book covers both traditional and cutting-edge polymerization methods and uses four powerful modeling techniques: z-transform, method of moments, Markov chains, and Monte Carlo simulations.
The book emphasizes hands-on, equation-driven approaches that help readers understand the underlying chemistry and physics and relate reaction conditions to specific polymer properties. Real-world examples and practice problems are included to reinforce learning, with an online solutions manual available for adopting professors.
Written by an experienced teaching professor, Understanding Modeling and Simulation of Polymerization Reactions discusses:
Understanding Modeling and Simulation of Polymerization Reactions is an ideal high-level academic textbook for advanced undergraduate and graduate courses on polymer engineering, polymer science, and polymer materials. With its broad scope, the book is also valuable for practicing professionals in the polymer and materials industries.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Esmaiel Jabbari, PhD is Professor of Chemical and Biomedical Engineering at the University of South Carolina. His research focuses on the application of resorbable polymeric biomaterials in medicine for drug delivery and regenerative medicine. He was elected a Fellow of the American Institute of Medical and Biological Engineering in 2013.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Model and simulate chemical reactions that create plastics and polymers Understanding Modeling and Simulation of Polymerization Reactions fills a critical gap in existing literature by teaching the science behind polymer design using advanced mathematical and computational methods and providing tools to predict and control how polymers are formed. The book covers both traditional and cutting-edge polymerization methods and uses four powerful modeling techniques: z-transform, method of moments, Markov chains, and Monte Carlo simulations. The book emphasizes hands-on, equation-driven approaches that help readers understand the underlying chemistry and physics and relate reaction conditions to specific polymer properties. Real-world examples and practice problems are included to reinforce learning, with an online solutions manual available for adopting professors. Written by an experienced teaching professor, Understanding Modeling and Simulation of Polymerization Reactions discusses: Mechanisms of chain formation from monomers including addition, step-growth, and their combinationsTheoretical models for predicting composition of propagating species for several types of polymerization reactions including conventional radical, reversible deactivation radical, anionic, and cationic polymerizationStochastic models of chain distribution, based on the Markovian process, for addition and step-growth polymerizationTheoretical models to relate viscosity of the reaction medium to monomer conversion, chain diffusivity, and polymer molecular weightCopolymer sequences, monomer sequence distributions, and copolymer randomness Understanding Modeling and Simulation of Polymerization Reactions is an ideal high-level academic textbook for advanced undergraduate and graduate courses on polymer engineering, polymer science, and polymer materials. With its broad scope, the book is also valuable for practicing professionals in the polymer and materials industries. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394400799
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