Characterization of Nanocomposites: Technology and Industrial Applications

Frank Abdi, Mohit Garg

April 3, 2017 by Pan Stanford
Reference - 486 Pages - 25 Color & 274 B/W Illustrations
ISBN 9789814669023 - CAT# N11396

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Features

  • Combines various well-established theories to solve difficult problems associated with the prediction of advanced hybrid multi-scale composites with less dependency on expensive material testing
  • Discusses a unique approach where physical, mechanical, electrical, and thermal properties can be obtained using relatively less expensive macro-level coupon test data and predictions can be made considering the statistical nature of the distribution, orientation, adhesion, and several types of coatings on macro-level properties
  • Contains chapters contributed by several well-known and renowned authors from the United States, European, and Asian countries
  • Features content that is well-balanced between theory, real-life engineering problems, and validations

Summary

These days, advanced multiscale hybrid materials are being produced in the industry, studied by universities, and used in several applications. Unlike for macromaterials, it is difficult to obtain the physical, mechanical, electrical, and thermal properties of nanomaterials because of the scale. Designers, however, must have knowledge of these properties to perform any finite element analysis or durability and damage tolerance analysis. This is the book that brings this knowledge within easy reach.

What makes the book unique is the fact that its approach that combines multiscale multiphysics and statistical analysis with multiscale progressive failure analysis. The combination gives a very powerful tool for minimizing tests, improving accuracy, and understanding the effect of the statistical nature of materials, in addition to the mechanics of advanced multiscale materials, all the way to failure. The book focuses on obtaining valid mechanical properties of nanocomposite materials by accurate prediction and observed physical tests, as well as by evaluation of test anomalies of advanced multiscale nanocomposites containing nanoparticles of different shapes, such as chopped fiber, spherical, and platelet, in polymeric, ceramic, and metallic materials. The prediction capability covers delamination, fracture toughness, impact resistance, conductivity, and fire resistance of nanocomposites. The methodology employs a high-fidelity procedure backed with comparison of predictions with test data for various types of static, fatigue, dynamic, and crack growth problems. Using the proposed approach, a good correlation between the simulation and experimental data is established.