Machine Learning Applied To Composite Materials
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Machine Learning Applied To Composite Materials
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Author : Vinod Kushvaha
language : en
Publisher: Springer Nature
Release Date : 2022-11-29
Machine Learning Applied To Composite Materials written by Vinod Kushvaha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Technology & Engineering categories.
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.
Composite Materials Technology
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Author : S.M. Sapuan
language : en
Publisher: CRC Press
Release Date : 2009-12-23
Composite Materials Technology written by S.M. Sapuan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-23 with Technology & Engineering categories.
Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount of published literature on the subject. Compiling information from diverse sources, Composite Materials Technology: Neural Network Applications fills the void in knowledge of these important networks, covering composite mechanics, materials characterization, product design, and other important aspects of polymer matrix composites. Light weight, corrosion resistance, good stiffness and strength properties, and part consolidation are just some of the reasons that composites are useful in areas including civil engineering and structure, chemical processing, management, agriculture, space study, and manufacturing. ANN has already been used to carry out design prediction, mechanical property prediction, and selection processes in the evolution of composites, but although it has already been used with great success in various branches of scientific and technological research, it is still in the nascent stage of its development. Featuring contributions from leading researchers throughout the world, this book is divided into four parts, starting with an introduction to neural networks and a review of existing literature on the subject. The text then covers structural health monitoring and damage detection in composites, addresses mechanical properties, and discusses design, analysis, and materials selection. Training, testing, and validation of experimental data were carried out to optimize the results presented in the book. This book will be an important aid to researchers as they work on the future implementation of ANN in industries such as aerospace, automotive, marine, sporting goods, furniture, and electronics and communication.
Hybrid Composite Materials
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Author : Akarsh Verma
language : en
Publisher: Springer Nature
Release Date : 2024-05-18
Hybrid Composite Materials written by Akarsh Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-18 with Technology & Engineering categories.
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.
Machine Learning And Data Mining
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Author : Igor Kononenko
language : en
Publisher: Elsevier
Release Date : 2007-04-30
Machine Learning And Data Mining written by Igor Kononenko and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-30 with Computers categories.
Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining.Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. - Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining - A valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions
Coating Materials
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Author : Akarsh Verma
language : en
Publisher: Springer Nature
Release Date : 2023-07-12
Coating Materials written by Akarsh Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-12 with Technology & Engineering categories.
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.
Unraveling New Frontiers And Advances In Bioinformatics
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Author : Amit Chaudhary
language : en
Publisher: Springer Nature
Release Date : 2024-09-21
Unraveling New Frontiers And Advances In Bioinformatics written by Amit Chaudhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.
This book describes the bioinformatics research field, from its historical roots to the cutting-edge technologies. Many readers can discover the power of next-generation sequencing and genomic data analysis, uncover the secrets of single-cell genomics and transcriptomics, explore the metagenomics and microbiome analysis, and predict the protein structures using structural bioinformatics. Several case studies witnessing the fusion of bioinformatics and artificial intelligence, driving insights from vast biological datasets have also been explored. Other important aspects listed in the book are integrating the omics data for a holistic view of biological systems; experiencing the future of medicine with precision healthcare and personalized treatments; accelerating drug discovery and repurposing through computational approaches; agricultural genomics; and exploring the role of immunoinformatics in designing effective vaccines against infectious diseases.
Sustainable Materials
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Author : Akshansh Mishra
language : en
Publisher: CRC Press
Release Date : 2024-10-25
Sustainable Materials written by Akshansh Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.
The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.
Recent Advances In Material Manufacturing And Machine Learning
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Author : Bjorn Schuller
language : en
Publisher: CRC Press
Release Date : 2024-06-17
Recent Advances In Material Manufacturing And Machine Learning written by Bjorn Schuller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Computers categories.
The main aim of the 2nd international conference on recent advances in materials manufacturing and machine learning processes-2023 (RAMMML-23) is to bring together all interested academic researchers, scientists, engineers, and technocrats and provide a platform for continuous improvement of manufactur□ing, machine learning, design and materials engineering research. RAMMML 2023 received an overwhelm□ing response with more than 530 full paper submissions. After due and careful scrutiny, about 120 of them have been selected for presentation. The papers submitted have been reviewed by experts from renowned institutions, and subsequently, the authors have revised the papers, duly incorporating the suggestions of the reviewers. This has led to significant improvement in the quality of the contributions, Taylor & Francis publications, CRC Press have agreed to publish the selected proceedings of the conference in their book series of Advances in Mechanical Engineering and Interdisciplinary Sciences. This enables fast dissemina□tion of the papers worldwide and increases the scope of visibility for the research contributions of the authors.
Dynamic Mechanical And Creep Recovery Behavior Of Polymer Based Composites
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Author : Akarsh Verma
language : en
Publisher: Elsevier
Release Date : 2024-01-11
Dynamic Mechanical And Creep Recovery Behavior Of Polymer Based Composites written by Akarsh Verma and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Technology & Engineering categories.
Dynamic Mechanical and Creep-Recovery Behaviour of Polymer-Based Composites: Mechanical and Mathematical Modeling covers mathematical modelling, dynamic mechanical analysis, and the ways in which various factors impact the creep-recovery behaviour of polymer composites. The effects of polymer molecular weight, plasticizers, cross-linking agents, and chemical treatment of filler material are addressed and information on thermoplastic and thermosetting polymer-based composites is also covered, including their various applications and the advantages and disadvantages of their use in different settings. The final 2 chapters of the book cover mathematical modeling of creep-recovery behavior for polymer composites and software-based simulation of creep-recovery in polymer composites, respectively. Dynamic Mechanical and Creep-Recovery Behaviour of Polymer-Based Composites: Mechanical and Mathematical Modeling covers mathematical modelling, dynamic mechanical analysis, and the ways in which various factors impact the creep-recovery behaviour of polymer composites. The effects of polymer molecular weight, plasticizers, cross-linking agents, and chemical treatment of filler material are addressed and information on thermoplastic and thermosetting polymer-based composites is also covered, including their various applications and the advantages and disadvantages of their use in different settings. The final 2 chapters of the book cover mathematical modeling of creep-recovery behavior for polymer composites and software-based simulation of creep-recovery in polymer composites, respectively. - Analyzes the dynamic mechanical and creep-recovery behaviors of thermoplastic and thermosetting polymer composites in a variety of applications - Features diverse mechanical/mathematical models utilized to fit data collected from creep-recovery studies - Covers various factors that influence dynamic mechanical properties - Discusses the advantages and disadvantages of using these materials in different settings
Recent Advances In Material Manufacturing And Machine Learning
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Author : Rajiv Gupta
language : en
Publisher: CRC Press
Release Date : 2023-05-26
Recent Advances In Material Manufacturing And Machine Learning written by Rajiv Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Computers categories.
The role of manufacturing in a country’s economy and societal development has long been established through their wealth generating capabilities. To enhance and widen our knowledge of materials and to increase innovation and responsiveness to ever-increasing international needs, more in-depth studies of functionally graded materials/tailor-made materials, recent advancements in manufacturing processes and new design philosophies are needed at present. The objective of this volume is to bring together experts from academic institutions, industries and research organizations and professional engineers for sharing of knowledge, expertise and experience in the emerging trends related to design, advanced materials processing and characterization, and advanced manufacturing processes.