Activated Carbon: Synthesis, Analysis, and Industrial Applications explores the fundamentals of activated carbon production and characterization, modification techniques and applications of machine learning in the field of activated carbon synthesis and applications. The book is divided into three parts to enable readers and researchers of all levels easy access to the information herein. Part 1 is on Synthesis methods and characterization techniques. The next six chapters on part 2 focus on diverse industrial applications of activated carbon. The last section is on machine learning applications as well as research progress in activated carbon synthesis, modification, and diverse applications.Written for researchers, graduate and undergraduate students, academics, and industry professionals in the fields of sustainable environmental science and chemical engineering, this book will be a welcomed reference for those who wish to better understand the role of activated carbon in solving sustainability challenges in the world related to energy shortage, greenhouse gas emissions, and environmental issues.
Handbook of Power Electronics in Smart Grids and Intelligent Energy is an expert guide to smart grids, intelligent energy, artificial intelligence and machine learning applications increasingly enabled by modern grid-aware power electronics converters. The work is designed to provide clear technical presentation with a focus on commercial viability, and it supports any or all aspects of a project requiring specialist design, analysis, installation, commissioning, and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and adhering to the business policies and product/program requirements. The handbook supports power electronics engineers and researchers interested in new approaches to advance smart grid security, resiliency, energy management, energy efficiency, diagnostics and control systems and power electronics interfaces.
Reliable and Resilient Logistic Systems signposts the risks associated with common logistics systems and provides cutting-edge preventive and rapid response strategies to counter them. Today’s dynamically changing market conditions create an unstable and unpredictable environment for enterprises to operate in, which is not catered to by traditional approaches to logistics planning and organization. In response, this ground-breaking book explains how to create resilient logistic networks that can adapt quickly to changes in operational conditions, thus leading to more reliable supply. Adopting a process orientation, the authors consider a range of issues related to continuous improvement and sidestep the organizational boundaries that can stand in the way of process optimization. Their interdisciplinary approach addresses both technical and management aspects of logistics system performance, thus reflecting the complexity of the challenges targeted.
The microsystems field has expanded to embrace a host of technologies, and microelectronics has now been joined by micro-mechanics, micro-fluidics and micro-optics to allow the fabrication of complex, multi- functional integrated microsystems. Comprehensive Microsystems, Second Edition, Three Volume Set, represents the authoritative primary reference source on microsystems and is now newly updated to reflect the latest advances in this exciting engineering field. This major reference work provides an exhaustive overview of the range of topics which comprise the microsystems field, including, design and materials, fabrication and packaging, optical systems, chemical and biological systems, physical sensors, actuation, electronics for MEMS and industrial applications. The new edition has been considerably revised and updated to include newer technologies such as ultrafast laser machining, 3D printing for biomedical applications, wearable sensors, microanalytical systems, and more. Each expertly written article provides a concise overview of a particular aspect of microsystems, and is accompanied by extensive references, guiding the user to the most relevant further reading within the ever-expanding available literature.
Metal Cutting: Theory, Selection and Design, Fifth Edition builds upon the more than forty- year history of this classic work which has been the go-to reference for individuals working in the area of metal cutting. This latest 5th edition covers the increased use of coated and ceramic cutting tool materials that have taken place since the 4th edition’s publication in 2000. The book includes a new extensive chapter on coated cutting tools and updated and expanded chapters on ceramic cutting tools and machinability. A discussion of wear mechanisms and their governing equations is included, as well as updates on tool micro-examination, use of the quick-stop method and tool temperature determination. Each chapter ends with a comprehensive bullet point summary. This book will be useful for those studying and teaching courses on metal cutting and machining processes at the advanced undergraduate and graduate level in universities, as well as professional materials scientists and mechanical engineers engaged in the industrial manufacturing sectors like those centred on automotive and aerospace component production.
Ludwig's Applied Process Design for Chemical and Petrochemical Plants is ever evolving starting with the first edition some 60 years ago. The volumes in this fifth edition provide improved techniques and fundamental designs methodologies to guide the practicing engineer in designing process equipment and applying chemical processes to the properly detailed hardware. Like its predecessor, this new edition continues to present updated information for achieving optimum operational and process conditions and to avoid problems caused by inadequate sizing and lack of internally detailed hardware. The volumes provide both fundamental theories where applicable and direct application of these theories to applied equations essential in the design effort. This approach in presenting design information is essential for troubleshooting process equipment and in executing system performance analysis. Volume 2 covers distillation, packed towers, petroleum fractionation, gas processing and dehydration, and liquid-liquid extraction. It focuses on distillation and packed towers and presents the methods and fundamentals of plant design along with supplemental mechanical and related data, nomographs, data charts and heuristics. The revision covers new content on divided wall column, and liquid-liquid extraction / design that ensure readers can analyze problems and find practical design methods and solutions to accomplish their process design objectives.
Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.
Bio-polymerized Sulfur for Sustainable Practice in Applied Sciences and Engineering examines new opportunities in Sustainable Chemistry by using renewable resources and sulfur as a building block for manufacturing sustainable functional materials that can be used in applied sciences and engineering practice. It also discusses bio-polymeric materials that are made from sulfur and renewable resources.Bio-polymerized Sulfur for Sustainable Practice in Applied Sciences and Engineering also outlines life cycle assessment studies, the sustainability of circular economy, sulfur, bio-polymeric materials, and bio-polymerized sulfur. Bio-polymerized Sulfur for Sustainable Practice in Applied Sciences and Engineering enables new options in using polymerized sulfur in the development of engineered products and to further sustainability.
Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples, implementation details, and practical exercises to reinforce the concepts outlined in the book. Sections start with a review of the history of probability theory and recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of probability axioms, conditional probability, and Bayes’ rule are discussed and examples of probability distributions in parametric data analysis, reliability, risk analysis, and materials informatics are included.Random processes, sampling methods, and surrogate modeling techniques including multivariate polynomial regression, Gaussian process regression, multi-fidelity surrogate, support-vector machine, and decision tress are also covered. Methods for model selection, calibration, and validation are introduced next, followed by chapters on sensitivity analysis, stochastic expansion methods, Markov models, and non-probabilistic methods. The book concludes with a chapter describing the methods that can be used to predict UQ in systems, such as Monte Carlo, stochastic expansion, upscaling, Langevin dynamics, and inverse problems, with example applications in multiscale modeling, simulations, and materials design.
Emerging Sensors for Environmental Monitoring presents a comprehensive overview of chemical sensors, ranging from the choice of material to sensor validation, modeling, simulation, and manufacturing. It discusses the process of data collection by intelligent techniques such as deep learning and multivariate analysis, incorporates different types of sensors, and discusses each under a common set of sub-sections so that readers can fully understand the advantages and disadvantages of the relevant transducers—depending on the design, transduction mode, and final applications.This book provides a practical reference for Scientists, Researchers, Students, and Practitioners to deepen their knowledge base on the management of emerging contaminants, degradation of air, soil and water quality and indicators of ecological degradation.