Machine Learning Applied To Composite Materials
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Machine Learning Applied to Composite Materials
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.
Hybrid Composite Materials
The aim of this book is to provide readers with a better understanding of the experimental methods and computational modeling techniques employed in the characterizations of diverse hybrid composite materials. It covers the mechanisms, important aspects, characteristics, formulations, significant elements, and case studies of the hybrid composite materials used in a wide range of applications. To inspire researchers, the most recent studies in the field as well as potential directions for more study are also emphasized.
Coating Materials
This book comprehensively reviews assorted types of coatings, their applications, and various strategies employed by several scientists and researchers to fabricate them. Exclusively, the recent progress in computational strategies that are helpful to optimize the best suitable coating formulation before one goes for the real-time fabrication has been discussed in detail. And this book is also intended to shed light on the computational modeling techniques that are used in the characterization of various coating materials. It covers mechanisms, salient features, formulations, important aspects, and case studies of coatings utilized for various applications. The latest research in this area as well as possible avenues of future research is also highlighted to encourage the researchers.