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Machine Learning For Metallic Corrosion Modeling
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Book Synopsis Machine Learning for Metallic Corrosion Modeling by : Kiran
Download or read book Machine Learning for Metallic Corrosion Modeling written by Kiran and published by Tredition Gmbh. This book was released on 2024-07-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metal corrosion, from rusty cars to crumbling bridges, costs billions. Enter machine learning! This powerful tool analyzes vast amounts of data to predict and prevent corrosion. By simulating how metals interact with their environment, scientists can design better materials and protective coatings. It's a computational exploration to outsmart rust and save our infrastructure!
Book Synopsis Machine Learning for Civil and Environmental Engineers by : M. Z. Naser
Download or read book Machine Learning for Civil and Environmental Engineers written by M. Z. Naser and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality, and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspective Supervised vs. unsupervised learning for regression, classification, and clustering problems Details explainable and causal methods for practical engineering problems Database development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysis A framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.
Book Synopsis Computational Modelling and Simulations for Designing of Corrosion Inhibitors by : Dakeshwar Kumar Verma
Download or read book Computational Modelling and Simulations for Designing of Corrosion Inhibitors written by Dakeshwar Kumar Verma and published by Elsevier. This book was released on 2023-04-19 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modeling and Simulations for Designing of Corrosion Inhibitors: Fundamentals and Realistic Applications offers a collection of major advancements in the field of computational modeling for the design and testing of corrosion inhibition effectiveness of organic corrosion inhibitors. This guide presents the latest developments in molecular modeling of organic compounds using computational software, which has emerged as a powerful approach for theoretical determination of corrosion inhibition potentials of organic compounds. The book covers common techniques involved in theoretical studies of corrosion inhibition potentials, and mechanisms such as density functional theory, molecular dynamics, Monte Carlo simulations, artificial neural networks, and quantitative structure-activity relationship. - Covers basic, fundamental principles, advantages, parameters, and applications of computational and molecular modeling for designing potential corrosion inhibitors for metals and alloys - Describes advancements of computational modeling for the design of organic corrosion inhibitors and applications in electrochemical engineering and materials science - Focuses on the most advanced applications in industry-oriented fields, including current challenges - Includes websites of interest and information about the latest research
Book Synopsis Machine Learning and IoT by : Shampa Sen
Download or read book Machine Learning and IoT written by Shampa Sen and published by CRC Press. This book was released on 2018-07-04 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.
Book Synopsis Machine Learning-Based Modelling in Atomic Layer Deposition Processes by : Oluwatobi Adeleke
Download or read book Machine Learning-Based Modelling in Atomic Layer Deposition Processes written by Oluwatobi Adeleke and published by CRC Press. This book was released on 2023-12-15 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology. Offers an in-depth overview of the fundamentals of thin film technology, state-of-the-art computational simulation approaches in ALD, ML techniques, algorithms, applications, and challenges. Establishes the need for and significance of ML applications in ALD while introducing integration approaches for ML techniques with computation simulation approaches. Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of deep learning algorithms and generative model benefits in ALD. Helps readers gain a holistic understanding of the exciting applications of ML-based solutions to ALD problems and apply them to real-world issues. Aimed at materials scientists and engineers, this book fills significant knowledge gaps in existing resources as it provides extensive information on ML and its applications in film thin technology. It also opens space for future intensive research and intriguing opportunities for ML-enhanced ALD processes, which scale from academic to industrial applications.
Download or read book Localized Corrosion written by Fumio Hine and published by . This book was released on 1988 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Research on Corrosion Sciences and Engineering by : El Kacimi, Younes
Download or read book Handbook of Research on Corrosion Sciences and Engineering written by El Kacimi, Younes and published by IGI Global. This book was released on 2023-05-09 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: The climate change crisis presents a multi-dimensional challenge to the development of the built environment. With finite global resources and increasingly unpredictable climate patterns, the need to improve our understanding of sustainable practices and materials for construction has never been more pressing. The Handbook of Research on Corrosion Sciences and Engineering aims to shed light on the recent developments in the usage of sustainable materials to protect metallic materials against corrosion and provides emerging research exploring the theoretical and practical aspects of corrosion engineering science and technology. Covering key topics such as machine learning, smart coating, sustainability, and artificial intelligence, this major reference work is ideal for construction workers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Book Synopsis Machine Learning and Flow Assurance in Oil and Gas Production by : Bhajan Lal
Download or read book Machine Learning and Flow Assurance in Oil and Gas Production written by Bhajan Lal and published by Springer Nature. This book was released on 2023-03-11 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is useful to flow assurance engineers, students, and industries who wish to be flow assurance authorities in the twenty-first-century oil and gas industry. The use of digital or artificial intelligence methods in flow assurance has increased recently to achieve fast results without any thorough training effectively. Generally, flow assurance covers all risks associated with maintaining the flow of oil and gas during any stage in the petroleum industry. Flow assurance in the oil and gas industry covers the anticipation, limitation, and/or prevention of hydrates, wax, asphaltenes, scale, and corrosion during operation. Flow assurance challenges mostly lead to stoppage of production or plugs, damage to pipelines or production facilities, economic losses, and in severe cases blowouts and loss of human lives. A combination of several chemical and non-chemical techniques is mostly used to prevent flow assurance issues in the industry. However, the use of models to anticipate, limit, and/or prevent flow assurance problems is recommended as the best and most suitable practice. The existing proposed flow assurance models on hydrates, wax, asphaltenes, scale, and corrosion management are challenged with accuracy and precision. They are not also limited by several parametric assumptions. Recently, machine learning methods have gained much attention as best practices for predicting flow assurance issues. Examples of these machine learning models include conventional approaches such as artificial neural network, support vector machine (SVM), least square support vector machine (LSSVM), random forest (RF), and hybrid models. The use of machine learning in flow assurance is growing, and thus, relevant knowledge and guidelines on their application methods and effectiveness are needed for academic, industrial, and research purposes. In this book, the authors focus on the use and abilities of various machine learning methods in flow assurance. Initially, basic definitions and use of machine learning in flow assurance are discussed in a broader scope within the oil and gas industry. The rest of the chapters discuss the use of machine learning in various flow assurance areas such as hydrates, wax, asphaltenes, scale, and corrosion. Also, the use of machine learning in practical field applications is discussed to understand the practical use of machine learning in flow assurance.
Book Synopsis Bayesian Network Modeling of Corrosion by : Narasi Sridhar
Download or read book Bayesian Network Modeling of Corrosion written by Narasi Sridhar and published by Springer Nature. This book was released on with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Atmospheric Corrosion by : Christofer Leygraf
Download or read book Atmospheric Corrosion written by Christofer Leygraf and published by John Wiley & Sons. This book was released on 2016-06-07 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: ATMOSPHERIC CORROSION Presents a comprehensive look at atmospheric corrosion, combining expertise in corrosion science and atmospheric chemistry Atmospheric corrosion has been a subject of engineering study, largely empirical, for nearly a century. Scientists came to the field rather later on and had considerable difficulty bringing their arsenal of tools to bear on the problem. Atmospheric corrosion was traditionally studied by specialists in corrosion having little knowledge of atmospheric chemistry, history, or prospects. Atmospheric Corrosion provides a combined approach bringing together experimental corrosion and atmospheric chemistry. The second edition expands on this approach by including environmental aspects of corrosion, atmospheric corrosion modeling, and international corrosion exposure programs. The combination of specialties provides a more comprehensive coverage of the topic. These scientific insights into the corrosion process and its amelioration are the focus of this book. Key topics include the following: Basic principles of atmospheric corrosion chemistry Corrosion mechanisms in controlled and uncontrolled environments Degradation of materials in architectural, transport, and structural applications; electronic devices; and cultural artifacts Protection of existing materials and choosing new ones that resist corrosion Prediction of how and where atmospheric corrosion may evolve in the future Complete with appendices discussing experimental techniques, computer models, and the degradation of specific metals, Atmospheric Corrosion, Second Edition continues to be an invaluable resource for corrosion scientists, corrosion engineers, conservators, environmental scientists, and anyone interested in the theory and application of this evolving field. The book concerns primarily the atmospheric corrosion of metals and is written at a level suitable for advanced undergraduates or beginning graduate students in any of the physical or engineering sciences.
Book Synopsis Bulk Metallic Glasses by : C. Suryanarayana
Download or read book Bulk Metallic Glasses written by C. Suryanarayana and published by CRC Press. This book was released on 2017-11-22 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflecting the fast pace of research in the field, the Second Edition of Bulk Metallic Glasses has been thoroughly updated and remains essential reading on the subject. It incorporates major advances in glass forming ability, corrosion behavior, and mechanical properties. Several of the newly proposed criteria to predict the glass-forming ability of alloys have been discussed. All other areas covered in this book have been updated, with special emphasis on topics where significant advances have occurred. These include processing of hierarchical surface structures and synthesis of nanophase composites using the chemical behavior of bulk metallic glasses and the development of novel bulk metallic glasses with high-strength and high-ductility and superelastic behavior. New topics such as high-entropy bulk metallic glasses, nanoporous alloys, novel nanocrystalline alloys, and soft magnetic glassy alloys with high saturation magnetization have also been discussed. Novel applications, such as metallic glassy screw bolts, surface coatings, hyperthermia glasses, ultra-thin mirrors and pressure sensors, mobile phone casing, and degradable biomedical materials, are described. Authored by the world’s foremost experts on bulk metallic glasses, this new edition endures as an indispensable reference and continues to be a one-stop resource on all aspects of bulk metallic glasses.
Book Synopsis Anti-Corrosive Nanomaterials by : Renhui Zhang
Download or read book Anti-Corrosive Nanomaterials written by Renhui Zhang and published by CRC Press. This book was released on 2023-08-15 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corrosion is a great challenge in many industries, especially in the automotive, aerospace, and oil and gas industries, with conservative estimations accounting for losses of around 2.2 trillion US dollars per year in the United States alone. Providing a comprehensive overview of the history and development of nanomaterials, this book discusses various practices for protection against corrosion. Key Features: Provides a comprehensive and updated review of major innovations in the field of nanomaterials in industrial, corrosion, and environmental science and engineering Encompasses design, characterization, mechanism, and application of nanomaterials from different strategies on the efficacy and major challenges associated with successful scaleup designing Essential reference for present and future research in nanomaterials Includes relevant aspects of organic and inorganic nanomaterials, hybrid nanomaterials, and nanocoatings in anticorrosion applications Coalescing a wide range of research on nanomaterials and anticorrosion practices, this book is of particular appeal to students, industry professionals, and academics.
Book Synopsis Machine Learning for Powder-Based Metal Additive Manufacturing by : Gurminder Singh
Download or read book Machine Learning for Powder-Based Metal Additive Manufacturing written by Gurminder Singh and published by Elsevier. This book was released on 2024-09-04 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML. In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study. - Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs - Combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications - Discusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM
Book Synopsis Technologies for Sustainable Buildings and Infrastructure by : B. R. Jayalekshmi
Download or read book Technologies for Sustainable Buildings and Infrastructure written by B. R. Jayalekshmi and published by Springer Nature. This book was released on with total page 945 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning for Advanced Functional Materials by : Nirav Joshi
Download or read book Machine Learning for Advanced Functional Materials written by Nirav Joshi and published by Springer Nature. This book was released on 2023-05-22 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.
Book Synopsis Proceedings of the 2nd International Conference on Advanced Surface Enhancement (INCASE 2021) by : Yuefan Wei
Download or read book Proceedings of the 2nd International Conference on Advanced Surface Enhancement (INCASE 2021) written by Yuefan Wei and published by Springer Nature. This book was released on 2021-08-21 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the ‘2nd International Conference on Advanced Surface Enhancement’, INCASE 2021. It comprehensively reviews the state-of-the-arts in surface engineering related techniques and strategies, towards industrialization. The topics include ‘Advances in Surface Engineering’, ‘Surface and sub-surface Characterisation’, ‘Surface Coatings’ and ‘Modeling and Simulation’. With the opportunities and challenges discussed, this book identifies the gaps between research and manufacturing. The innovative ideas presented promote technology adoption in industry, for the future of manufacturing.
Book Synopsis Machine Learning in 2D Materials Science by : Parvathi Chundi
Download or read book Machine Learning in 2D Materials Science written by Parvathi Chundi and published by CRC Press. This book was released on 2023-11-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniques are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically. KEY FEATURES • Provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects. • Offers introductory material in topics such as ML, data integration, and 2D materials. • Provides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materials. • Discusses customized ML methods for 2D materials data and applications and high-throughput data acquisition. • Describes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial products. • Gives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasets. Aimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research.
