Malucelli giulio (18 resultados)

Hardback. Condición: New.

Condición: New.

Hardback. Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. Includes the background, fundamental, and modern features of techniques of characterization of fire and flame behavior Provides an overview of the major techniques used in fire analysis of flame-retardant polymers Characterizes di.

Taschenbuch. Condición: Neu. Neuware - Analysis of Flame Retardancy in Polymer Science is a scientific/practical book that is conceptualized, designed, and written for students, early-career researchers, and junior engineers to explain the basic principles of fire analysis/characterization methods/methodologies, from flammability, ignition, and fire spread to forced convection and related analyses and to elucidate the mechanisms underlying flame retardancy in both gas and condensed phases followed by correlation between laboratory- and real-scale fire analyses as well as fire analysis from an industrial standpoint. This book is also an indispensable resource for identifying and mounting the latest achievements in fire analysis/characterization methods to frame the effects of fire evaluation strategies to be utilized for research and development. The book also gives a broad description of fire analysis related to different standards and regulations for different applications in different geographic zones.…

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Hardcover. Condición: new. Hardcover. The demand for high-performance polymer-based systems continues to drive both academia and industry toward the design of innovative and sustainable materials for applications in sectors like electrical engineering, electronics, advanced packaging, and flame retardancy. This Reprint brings together key contributions from experts in polymer research, focusing on hybrid O/I sol-gel-derived nanocomposites for advanced technologies. It highlights recent advancements in the preparation, characterization, and processability of hybrid O/I systems, with a focus on sustainability. The volume explores interactions between polymer matrices and functional components, examines alternative fillers with environmental and economic benefits, and emphasizes the increasing role of machine learning in sol-gel science. These data-driven approaches are enhancing material property prediction, formulation optimization, and the design of new composites. Each chapter provides a solid theoretical foundation, experimental results, and key conclusions, offering readers a deeper understanding of cutting-edge developments and the impact of artificial intelligence in materials science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The demand for high-performance polymer-based systems continues to drive both academia and industry toward the design of innovative and sustainable materials for applications in sectors like electrical engineering, electronics, advanced packaging, and flame retardancy. This Reprint brings together key contributions from experts in polymer research, focusing on hybrid O/I sol-gel-derived nanocomposites for advanced technologies. It highlights recent advancements in the preparation, characterization, and processability of hybrid O/I systems, with a focus on sustainability. The volume explores interactions between polymer matrices and functional components, examines alternative fillers with environmental and economic benefits, and emphasizes the increasing role of machine learning in sol-gel science. These data-driven approaches are enhancing material property prediction, formulation optimization, and the design of new composites. Each chapter provides a solid theoretical foundation, experimental results, and key conclusions, offering readers a deeper understanding of cutting-edge developments and the impact of artificial intelligence in materials science. …

Buch. Condición: Neu. Hybrid O/I Sol-Gel-Derived Nanocomposites Systems for Advanced Functional Applications | Buch | Englisch | 2025 | MDPI AG | EAN 9783725856633 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…