Machine Learning Applied to Composite Materials is popular PDF and ePub book, written by Vinod Kushvaha in 2022-11-29, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning Applied to Composite Materials can be Read Online from any device for your convenience.
Machine Learning Applied to Composite Materials Book PDF Summary
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.
Detail Book of Machine Learning Applied to Composite Materials PDF
- Author : Vinod Kushvaha
- Release : 29 November 2022
- Publisher : Springer Nature
- ISBN : 9789811962783
- Genre : Technology & Engineering
- Total Page : 202 pages
- Language : English
- PDF File Size : 19,9 Mb
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