Machine Learning Applied to Composite Materials (2022)Hardcover - 2022, 30 November 2022

Machine Learning Applied to Composite Materials (2022)
Qty
1
Turbo
Ships in 2 - 3 days
In Stock
Free Delivery
Cash on Delivery
15 Days
Free Returns
Secure Checkout
Buy More, Save More
Part of Series
Composites Science and Technology
Print Length
198 pages
Language
English
Publisher
Springer
Date Published
30 Nov 2022
ISBN-10
9811962774
ISBN-13
9789811962776

Description

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.

Product Details

Book Edition:
2022
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
30 November 2022
Dimensions:
23.39 x 15.6 x 1.27 cm
ISBN-10:
9811962774
ISBN-13:
9789811962776
Language:
English
Location:
Singapore
Pages:
198
Publisher:
Springer
Weight:
467.2 gm

Related Categories


Need Help?
+971 6 731 0280
support@gzb.ae

About UsContact UsPayment MethodsFAQsShipping PolicyRefund and ReturnTerms of UsePrivacy PolicyCookie Notice

VisaMastercardCash on Delivery

© 2024 White Lion General Trading LLC. All rights reserved.