This is the first of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization.Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book explains the mathematical structure of digital twins, their development and the model's respective parts, as well as concepts for the knowledge-driven generation and structural variability of digital twins. Covering fundamentals as well as applications, the two volumes offer the ideal introduction to the topic for researchers in academy and industry alike.

This book discusses various challenges and solutions in the fields of operation, control, design, monitoring and protection of microgrids, and facilitates the integration of renewable energy and distribution systems through localization of generation, storage and consumption. It covers five major topics relating to microgrid i.e., operation, control, design, monitoring and protection. The book is primarily intended for electric power and control engineering researchers who are seeking factual information, but also appeals to professionals from other engineering disciplines wanting an overview of the entire field or specific information on one aspect of it. Featuring practical case studies and demonstrating different root causes of large power failures, it helps readers develop new concepts for mitigating blackout issues. This book is a comprehensive reference resource for graduate and postgraduate students, academic researchers, and practicing engineers working in the fields of power system and microgrid.

The book is basically written with a view to project Computer Numerical Control Programming (CNC) Programming for machines. This book shows how to write, read and understand such programs for modernizating manufacturing machines. It includes topics such as different programming codes as well as different CNC machines such as drilling and milling.

This book covers the recent developments in the production of micro and nano size products, which cater to the needs of the industry. The processes to produce the miniature sized products with unique characteristics are addressed. Moreover, their application in areas such as micro-engines, micro-heat exchangers, micro-pumps, micro-channels, printing heads and medical implants are also highlighted. The book presents such microsystem-based products as important contributors to a sustainable economy. The recent research in this book focuses on the development of new micro and nano manufacturing platforms while integrating the different technologies to manufacture the micro and nano components in a high throughput and cost effective manner. The chapters contain original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers.

The Pigments from Microalgae Handbook presents the current state of knowledge on pigment production using microalgae-based processes, and covers both the scientific fundamentals of this technology and its practical applications. It addresses biology, chemistry, biochemistry, analysis and engineering aspects, as well as applications of natural pigments in photosynthetic organisms. The book also describes the analytical procedures associated with the characterization of pigments and the engineering aspects of microalgal pigment production. It considers the three major classes of pigments(chlorophylls, carotenoids and phycobiliproteins) produced and surveys the main commercial applications of these chemicals. The book offers a valuable source of information for industrial researchers and practitioners in industrial biotechnology, as it covers various engineering aspects of microalgal pigment production, such as bioreactors and bioprocesses, industrial extraction processes, and the bioeconomy of production including life-cycle assessment. The book will also be of interest to undergraduate and graduate students of biochemistry, food chemistry, and industrial microbiology.

This peer-reviewed book explores the technologies driving broadband internet connectivity in the fourth industrial revolution (Industry 4.0). It particularly focuses on potential solutions to introduce these technologies in emerging markets and rural areas, regions that typically form part of the digital divide and often have under-developed telecommunications infrastructures, a lack of skilled workers, and geographical restrictions that limit broadband connectivity. Research shows that ubiquitous internet access boosts socio-economic growth through innovations in science and technology, with the common goal of bringing positive change to the lives of individuals. Fifth-generation (5G) networks based on millimeter-wave (mm-wave) frequency information transfer have the potential to provide future-proof, affordable and sustainable broadband connectivity in areas where previous-generation mobile networks were unable to do so. This book discusses the principles of various technologies that enable electronic circuits to operate at mm-wave frequencies. It examines the importance of identifying, describing, and analyzing technology from a purely technological standpoint, but also acknowledges and investigates the challenges and limitations of introducing such technologies in emerging markets. Presenting recent research, the book spearheads participation in Industry 4.0 in these areas.

This book provides methods and concepts which enable engineers to design mass and cost efficient products. Therefore, the book introduces background and motivation related to sustainability and lightweight design by looking into those aspects from a durability and quality point of view. Hence this book gives a "top-down" approach: What does an engineer has to do for providing a mass and cost efficient solution? A central part of that approach is the "stress-strength interference model" and how to deal with "stresses" (caused by operational loads) as well as with the "strength" of components (provided by material, design and manufacturing process). The basic concepts of material fatigue are introduced, but the focus of the volume is to develop an understanding of the content and sequence of engineering tasks to be performed which help to build reliable products. This book is therefore aimed specifically at students of mechanical engineering and mechatronics and at engineers in professional practice.

This book develops innovative techniques from operational research and management science for the design and implementation of a reconfigurable manufacturing system (RMS), and subsequently analyzes and assesses their performance. A reconfigurable manufacturing system (RMS) is a paradigm that can address many of the challenges posed by the modern market. Accordingly, substantial research is now being conducted on RMS, focusing on various levels of decision-making (strategic, tactical and operational). However, as a relatively new research area, there are still only very few books and articles available on reconfigurable manufacturing system design and management. In addition to filling that gap, this book provides a forum for investigating, exchanging ideas on, and disseminating the latest advances in the broad area of RMS applications in today's industry. Gathering contributions by experts from academia, industry and policy-making, it represents an essential contribution to the existing literature on manufacturing and logistics in general and industry 4.0 in particular.

This book addresses the experimental calibration of best-estimate numerical simulation models. The results of measurements and computations are never exact. Therefore, knowing only the nominal values of experimentally measured or computed quantities is insufficient for applications, particularly since the respective experimental and computed nominal values seldom coincide. In the author's view, the objective of predictive modeling is to extract "best estimate" values for model parameters and predicted results, together with "best estimate" uncertainties for these parameters and results. To achieve this goal, predictive modeling combines imprecisely known experimental and computational data, which calls for reasoning on the basis of incomplete, error-rich, and occasionally discrepant information. The customary methods used for data assimilation combine experimental and computational information by minimizing an a priori, user-chosen, "cost functional" (usually a quadratic functional that represents the weighted errors between measured and computed responses). In contrast to these user-influenced methods, the BERRU (Best Estimate Results with Reduced Uncertainties) Predictive Modeling methodology developed by the author relies on the thermodynamics-based maximum entropy principle to eliminate the need for relying on minimizing user-chosen functionals, thus generalizing the "data adjustment" and/or the "4D-VAR" data assimilation procedures used in the geophysical sciences. The BERRU predictive modeling methodology also provides a "model validation metric" which quantifies the consistency (agreement/disagreement) between measurements and computations. This "model validation metric" (or "consistency indicator") is constructed from parameter covariance matrices, response covariance matrices (measured and computed), and response sensitivities to model parameters. Traditional methods for computing response sensitivities are hampered by the "curse of dimensionality," which makes them impractical for applications to large-scale systems that involve many imprecisely known parameters. Reducing the computational effort required for precisely calculating the response sensitivities is paramount, and the comprehensive adjoint sensitivity analysis methodology developed by the author shows great promise in this regard, as shown in this book. After discarding inconsistent data (if any) using the consistency indicator, the BERRU predictive modeling methodology provides best-estimate values for predicted parameters and responses along with best-estimate reduced uncertainties (i.e., smaller predicted standard deviations) for the predicted quantities. Applying the BERRU methodology yields optimal, experimentally validated, "best estimate" predictive modeling tools for designing new technologies and facilities, while also improving on existing ones.

This book provides a detailed explanation of the cold spray process from a practical standpoint. Drawing on the authors' 36 years of research and development experience, it is firmly rooted in theory but also substantiated by empirical data and practical knowledge, offering potential users the information they need to recognize the advantages, as well as the limitations, of cold spray. This sets it apart from previous works on the subject, which have been purely academic. Cold spray technology has made great dramatic strides over the last 10 years and is now being used extensively in the aerospace, electronics, automotive, medical, and even the petrochemical industries. Most recently, cold spray of near-net shaped parts was accomplished - something previously assumed to be impossible because of the limitations of commercially available cold spray systems and a lack of fundamental understanding regarding the process. The cost of cold spray has also declined, making it appealing to industry through the introduction of new powders, surface preparation techniques, and recovery systems tailored to the cold spray process. Though primarily intended for users of the technology, this handbook is also a valuable resource for researchers interested in advances in cold spray materials, improved feedstock powders, advanced hardware and software development, surface preparation techniques, and the numerous applications developed to date. For example, cold spray aluminum alloys have been developed that offer the strength and ductility of wrought material in the as-sprayed condition. This has yet to be achieved by conventional powder consolidation methods including laser sintering, electron beam, and ultrasonic techniques. Other topics covered include additive manufacturing, structural repair, nondestructive evaluation, advanced cold spray materials, qualification requirements, cold spray systems comparison, and, finally, helium recovery. Thanks to its practical focus, the book provides readers with everything they need to understand, evaluate, and implement cold spray technology.

This book contains a collection of 13 carefully selected papers contributed by researches in technical and partial medical diagnostics as well as fault-tolerant control and constitutes a comprehensive study of the field. Nowadays technical diagnostics and fault-tolerant control are a field of intensive scientific research that covers well-established topics along with emerging developments in control engineering, artificial intelligence, applied mathematics and statistics. At the same time, a growing number of applications of different fault diagnosis methods, especially in the electrical, mechanical, chemical and medical areas, are being observed. The aim of the book is to show the bridge between technical and medical diagnosis based on analytical and artificial intelligence methods and techniques. The book is divided into three parts: I. Fault-Tolerant Control and Reconfiguration, II. Fault Diagnosis of Processes and Systems, III. Medical Applications. The book is of interest to scientists, engineers and academics dealing with the problems of designing technical diagnosis and fault-tolerant control systems. Its target readers are also junior researchers and students of control, artificial intelligence and computer engineering.

This book highlights operation principles for Air Traffic Control Automated Systems (ATCAS), new scientific directions in design and application of dispatching training simulators and parameters of ATCAS radio equipment items for aircraft positioning. This book is designed for specialists in air traffic control and navigation at a professional and scientific level. The following topics are also included in this book: personnel actions in emergency, including such unforeseen circumstances as communication failure, airplane wandering off course, unrecognized aircraft appearance in the air traffic service zone, aerial target interception, fuel draining, airborne collision avoidance system (ACAS) alarm, emergency stacking and volcanic ash cloud straight ahead.

This book presents selected papers from the 3rd Global Summit of Research Institutes for Disaster Risk Reduction - Expanding the Platform for Bridging Science and Policy Making, which was held at the Disaster Prevention Research Institute (DPRI), Kyoto University, Uji Campus from 19 to 21 March 2017. It was organised by the Global Alliance of Disaster Research Institutes (GADRI), which was established soon after the second Global Summit and the UN World Conference on Disaster Risk Reduction in March 2015, and is intended to support the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030. The conference not only provided a platform for discussion and exchange of information on key current and future research projects on disaster risk reduction and management, but also promoted active dialogues through group discussion sessions that addressed various disaster research disciplines. In this book, authors from various disciplines working at governmental and international organisations provide guidance to the science and technical community, discuss the current challenges, and evaluate the research needs and gaps in the context of climate change, sustainable development goals and other interlinked global disaster situations. Expert opinions from practitioners and researchers provide valuable insights into how to connect and engage in collaborative research with the international science and technical communities and other stakeholders to achieve the goals set out in the agenda of the Sendai Framework for Disaster Risk Reduction 2015-2030. In addition, case studies and other evidence-based research papers highlight ongoing research projects and reflect the challenges encountered in information sharing by various stakeholders in the context of disaster risk reduction and management. Chapter "Science and technology commitment to the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book comprises selected papers from the Fourth International Conference on Materials and Manufacturing Engineering (ICMME 2019). The contents focus on the latest developments in the synthesis and characterization of new materials, and highlights the challenges involved in the manufacturing and machinability of different materials. Advanced and cost-effective manufacturing processes and their applications are also discussed in the book. In addition, it covers topics like robotics, fluid dynamics, design and development, and different optimization techniques. The contents of this book will be beneficial to students, researchers, and industry professionals.

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

This new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It introduces students to the concept of the maximum principle in continuous (as well as discrete) time by combining dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations encountered in business and economics. It applies optimal control theory to the functional areas of management including finance, production and marketing, as well as the economics of growth and of natural resources. In addition, it features material on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. Exercises are included in each chapter, while the answers to selected exercises help deepen readers' understanding of the material covered. Also included are appendices of supplementary material on the solution of differential equations, the calculus of variations and its ties to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as the foundation for the book, in which the author applies it to business management problems developed from his own research and classroom instruction. The new edition has been refined and updated, making it a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers interested in applying dynamic optimization in their fields.

This is the second of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book focuses on the application of digital twins in various contexts, e.g. computer-aided experimental design, seed train prediction, and lifeline analysis. Covering fundamentals as well as applications, the two volumes offers the ideal introduction to the topic for researchers in academy and industry alike.

This book presents a compilation of selected papers from the Fourth International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, held in August 2019 in Guiyang, China. The purpose of the symposium was to discuss inspection, testing, certification and research concerning the software and hardware of instrument and control (I&C) systems used at nuclear power plants (NPP), such as sensors, actuators and control systems. The event provides a venue for exchange among experts, scholars and nuclear power practitioners, as well as a platform for the combination of teaching and research at universities and enterprises to promote the safe development of nuclear power plants. Readers will find a wealth of valuable insights into achieving safer and more efficient instrumentation and control systems.

This book talks about the dynamics of the surface water-groundwater contaminant interactions under different environmental conditions across the world. The contents of the book highlight trends of monitoring, prediction, awareness, learning, policy, and mitigation success. The book provides a description of the background processes and factors controlling resilience, risk, and response of water systems, contributing to the development of more efficient, sustainable technologies and management options. It integrates methodologies and techniques such as data science and engineering, remote sensing, modelling, analytics, synthesis and indices, disruptive innovations and their utilization in water management, policy making, and mitigation strategies. The book is intended to be a comprehensive reference for students, professionals, and researchers working on various aspects of science and technology development. It will also prove a useful resource for policy makers and implementation specialists.

T Level Engineering is written to cover the core elements of the new T Level Engineering qualifications. It provides essential information for T Level Engineering students and teachers, and will be useful as the student moves into higher education or an apprenticeship. The new T Level qualifications offer a realistic option to A Level and other vocational options. After completing a T Level in Engineering the student has a number of options including university courses and higher level apprenticeships. This book is written in an accessible fashion, no previous knowledge of engineering or technology is required, as all the technical terms are readily explained and a detailed glossary and list of abbreviations are included. Whether you are a student, tutor, or work placement manager you will surely find this book an enjoyable read and a handy reference book on your shelf. Andrew Livesey, MA, CEng is an experienced lecturer in engineering at Ashford College, Kent. He was a member of the DfE committee responsible for developing the T Levels and is a T Level Ambassador. His Routledge publications include: Basic Motorsport Engineering (2011), Advanced Motorsport Engineering (2012), The Repair of Vehicle Bodies (2018), Practical Motorsport Engineering (2018), Bicycle Engineering and Technology (2021) and Motorcycle Engineering (2021).

This book gathers selected papers presented at the 1st International Conference on Industrial Applications of Adhesives 2020 (IAA 2020). It covers a wide range of topics, including adhesive curing for electronic and automotive industries; adhesive testing with a torsion machine for rigorous mechanical properties determination; joint design using innovative techniques such as the meshless method; design methodologies in the automotive industry for joints under impact; temperature effects in joints typically found in civil engineering; and advanced nondestructive techniques such as terahertz spectroscopy to assess the durability of adhesive joints. Providing a review of the state-of the art in industrial applications of adhesives, the book serves as a valuable reference resource for researchers and graduate students interested in adhesive bonding.