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Machine Learning Applied to Composite Materials

Language EnglishEnglish
Book Hardback
Book Machine Learning Applied to Composite Materials Vinod Kushvaha
Libristo code: 39512708
Publishers Springer, Berlin, November 2021
This book introduces the approach of Machine Learning (ML) based predictive models in the design of... Full description
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This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of material composite modelling and design.

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About the book

Full name Machine Learning Applied to Composite Materials
Language English
Binding Book - Hardback
Date of issue 2022
Number of pages 204
EAN 9789811962776
Libristo code 39512708
Publishers Springer, Berlin
Weight 467
Dimensions 155 x 235 x 17
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