SpringerBriefs in Applied Sciences and Technology: Theory and Applications

Lubguban, Arnold A.; Alguno, Arnold C.; Malaluan, Roberto M.; Dumancas, Gerard G.

This book presents a detailed exploration of advanced computational modeling techniques in the design, testing, and applications of rigid polyurethane foams (RPUFs). By leveraging modern approaches such as database-driven predictions, iterative simulations, and emerging innovations in computational material engineering, it offers a more accurate and efficient way to model the thermo-kinetic behavior of RPUFs. The necessity for computational tools in materials science is intertwined with the growth of the polyurethane market, with many academic and industrial researchers seeking to adopt these methods. The book comprehensively discusses the advancement in bridging the gap between traditional empirical methods and cutting-edge computational techniques specifically applied to RPUFs. Furthermore, it is a comprehensive guide to the computational modeling of the thermo-kinetics of RPUFs, making it an essential resource for researchers, engineers, and academicians seeking to innovate in material science and engineering. This book addresses a niche yet critical area within this broader scope.

Details

Published by: Springer

Publication Date: 2025-02-26

Format: Paperback

ISBN-13: 9789819620760

DOI: 10.1007/978-981-96-2077-7

Dimensions: 235cm x155cm

Pages: 114