Simulation Methods For Rubber Antivibration Systems

Rubber-to-metal bonded systems are complex and require comprehensive simulation methods. This book is intended for engineers and scientists working in industry on the simulation, design, and applications of rubber anti-vibration systems, with the Second Edition including predictions on idealized Mullins effect and creep/relaxation variations.

Format: Hardback
Length: 292 pages
Publication date: 18 January 2021
Publisher: World Scientific Publishing Co Pte Ltd

Rubber-to-metal bonded systems find extensive application in the industry, particularly in high-speed trains and marine ships, where they are subjected to long-term service. These intricate systems pose significant challenges in terms of modeling and predicting their behavior. Consequently, there is a pressing need for a comprehensive book that provides comprehensive coverage of simulation methods in this specialized field.

This book is specifically designed for engineers who engage in the simulation, design, and applications of rubber anti-vibration systems in the industrial setting. It can also serve as a valuable reference resource for scientists interested in this area.

The Second Edition of this book, entitled "Numerical Prediction & Case Validation for Rubber Anti-vibration System," represents an update and expansion of the original publication. The newly added content includes predictions on the idealized Mullins effect without the need for data fitting, as well as creep/relaxation variations resulting from temperature changes, loading, hardness, and different component interactions. Additionally, the book delves into dynamic interactions between solid rubber and fluid, providing valuable insights into the behavior of rubber-to-metal bonded systems under various conditions.

By offering a comprehensive and up-to-date treatment of simulation methods in the field of rubber anti-vibration systems, this book aims to serve as a valuable tool for engineers, researchers, and practitioners alike. It will help them better understand the complex dynamics of these systems, optimize their design, and ensure their reliable performance in a wide range of industrial applications.

Weight: 574g
Dimension: 236 x 159 x 22 (mm)
ISBN-13: 9789811221460