Mohammad Hossein Keshavarz

Broschiertes Buch

Predictive Modeling in Polymer Science

Properties and Performance

Beschreibung

Predictive Modeling in Polymer Science: Properties and Performance introduces the latest methods for predicting polymer properties and addressing cost-effectiveness and desirable properties for product design and production. The book discusses a range of prediction methods and models, providing a comprehensive overview of polymer behaviors and properties essential for material performance, such as flammability properties, solubility, intrinsic viscosity, glass transition temperatures, and refractive index. Readers will gain a deep understanding of predictive modeling techniques that enable the design of polymers with desired properties, saving time and resources. This book provides a comprehensive guide for scientists, engineers, and industry professionals interested on predicting and optimizing polymer properties for material design.

Autor

Dr. Mohammad Hossein Keshavarz has been a lecturer and researcher at the Malek Ashtar University of Technology, Iran, since 1997. Between 1997 and 2008, he served as an Assistant Professor, Associate Professor, and Professor of Physical Chemistry at the university's Shahin Shahr campus. His main research interests involve the assessment of properties, performance, and toxicity of materials, with a particular focus on energetic materials-explosives, propellants, and pyrotechnics. He has substantial expertise in the prediction and experimental evaluation of the sensitivity of energetic materials to external stimuli, such as electric spark, shock, impact, and friction, as well as the development of empirical and computational models for material behavior. Dr. Keshavarz is also actively involved in safety analysis and the development of innovative handling and testing protocols for hazardous substances.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 310
• Erscheinungstermin: 5. Januar 2026
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443404535
• ISBN-10: 0443404534
• Artikelnr.: 74950405