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HANSER FACHBUCHVERLAG Fundamentals of Fiber Orientation: Description, Measurement and Prediction

Name: Fundamentals of Fiber Orientation: Description, Measurement and Prediction
Brand: HANSER FACHBUCHVERLAG

Polymers & Plastics

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Polymers reinforced with discontinuous fibers have a wide range of important applications such as in automotive parts and business machines. The fl ow that occurs during processing of these materials creates a complex but repeatable pattern of fi ber orientation, which plays a key role in achieving the desirable mechanical properties these materials can offer. The primary focus of this unique book is fiber orientation: how to describe it mathematically, how to measure it experimentally, and how to predict it using models available in commercial software. The book also covers the description, measurement, and modeling of fiber length, another important variable that can be predicted by commercial software. The connection between fiber orientation and mechanical properties is explained, as is the relationship between fiber orientation and rheological properties in the fl uid state. "Fundamentals of Fiber Orientation" focuses on the models used in current engineering practice, but also discusses topics from current research that could transition to engineering practice soon. For practicing engineers, this book teaches the fundamentals needed to understand data, set up meaningful simulations, and interpret results. The book provides a thorough, organized overview of the field, and will also be a valuable resource to those undertaking research in this area. Free MATLAB software implementing the models discussed in the book is provided online.

Product Specifications

Brand: HANSER FACHBUCHVERLAG
Format: Hardcover
ASIN: 1569908753
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Chemical > Polymers & Plastics
Domain: Amazon UK
Release Date: 31 March 2022
Listed Since: 08 December 2021

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HANSER FACHBUCHVERLAG Fundamentals of Fiber Orientation: Description, Measurement and Prediction

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