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.

With the advent of nanotechnology, the properties offered by nano-sized particles in various engineering applications have revolutionized the area of material science. Further, due to the use of nanomaterials in various engineering components particularly moving parts, it is imperative to understand the behavior of these nanomaterials under sliding conditions. Therefore, an augmented approach of nanotechnology and tribology has been addressed in the book. It presents recent advancements on the topics related to Mechanical and tribological behaviour of nanocomposites, Nanomaterials in lubricating oils, Synergetic effects of nanomaterials, Surface texturing at nano-scale, Nanocoatings for various applications, Biotribological applications of nanomaterials Nanomaterials for Sustainable Tribology cover major aspects of tribology of nanomaterials, its current status and future directions. This book will provide the readers an insight on several aspects of tribology of nanomaterials. The book will act as a strong stimulant for readers to appreciate and initiate further advancements in the field of tribology, particularly at nano-scale.

This book provides state-of-the-art descriptions of smart service innovations in the industry, supported by novel scientific approaches. It gathers findings and insights presented at the fourth Smart Services Summit, held in Zurich, Switzerland, in October 2021, which primarily focused on how smart services have enabled companies to adapt during and to the COVID-19 pandemic. The book includes examples of remote and collaborative working that actively involve customers in service processes, requiring a change in mindset for more traditional firms. Moreover, it explores how services can be delivered faster and more affordable with the aid of new technologies and in collaboration with the customers, leading to new value propositions and business models and thus an evolution of smart services. Given its scope, the book offers an essential guide for practitioners and advanced students alike.

This book presents peer-reviewed articles from the 1st International Conference on Dam Safety Management and Engineering (ICDSME 2019), organized by the Malaysian National Committee on Large Dams (MYCOLD), Tenaga Nasional Berhad (TNB), Department of Irrigation and Drainage (DID) and Universiti Tenaga Nasional (UNITEN). With the theme "resilient dams for resilient communities," the conference highlighted the latest developments in the area and provided a platform for researchers and professionals to exchange ideas and to address dam safety and engineering issues with the environment in mind. The topics covered included, but was not limited to, best practices in dam safety, reservoir management, dam health monitoring, risk assessment, emergency management and sustainable dams.

Product design is becoming increasingly challenging as product complexity increases dramatically with the advent of autonomous control and the need to achieve zero emissions. Companies continue to have poor product launches with significant numbers of recall campaigns and high after-sales warranties. It is important that potential product failures are identified and fixed during the design of a product. Failure modes found late after the design has matured are normally easy to find with some being identified by the customer but are often difficult and expensive to fix since modifying one part will often have a knock-on effect on other parts causing other problems. Discovering failure modes early in the design process is often difficult requiring rigorous and comprehensive analysis but once found such failure modes are usually easy and cheap to fix. This book presents an approach to product design based on Failure Mode Avoidance that utilizes a series of strongly interrelated engineering tools and interpersonal skills that can be used to discover failure modes early in the design process. The tools can be used across engineering disciplines. Despite engineering being largely a team activity, it is often the case that little attention is paid to the team process after the team membership has been identified, with membership normally being based on technical expertise. In addition to technical expertise, an effective engineering team requires individual engineers to work together efficiently. Good leadership is also required with the leader able to both manage change and encourage individual team members to work to the best of their ability. The book interweaves technical skills, team skills, and team leadership in a way that reflects their real-life interrelationship. The book tells the fictional story of a small engineering team and its leader as they implement the skills introduced in the book and follows their experiences reflecting individual difficulties, enthusiasm, humor, and skepticism in applying the methodologies and tools for the first time. In addition, the story tells of team members' interactions with their management and peers within a company that, having been very successful, finds itself in financial difficulties. It promotes constructivist learning through the reader empathizing with the characters in the book. These characters ask questions that are typical of those that learners will ask about the subject matter. Learning reinforcement is also integrated into the storyline as a natural and unobtrusive feature. The book is intended to be read like a novel from cover to cover with a storyline that motivates the reader to read on. While including in-depth technical examples the book is not intended as a seminal text on Failure Mode Avoidance or team skills but is intended to give the reader an understanding such that they are motivated to learn more. Having read the book, it can be treated more typically as a textbook by returning to some of the technical detail or looking to further reading such as that identified in the book.

Two typical hybrid laser surface modification processes, i.e. electro/magnetic field aided laser process and supersonic laser deposition technology, are introduced in the book, to solve the common problems in quality control and low efficiency of the laser-only surface modification technology, high contamination and high consumption of the traditional surface modification technology. This book focuses on the principle, characteristics, special equipment, process and industrial applications of the hybrid laser surface modification processes based on the recent research results of the author's group, and provides theoretical guidance and engineering reference for the researchers and engineers engaging in the field of surface engineering and manufacturing.

This book consists of select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019, and presents latest research on using the combined intelligence of people, processes, and machines to impact the overall economics of manufacturing. The book focuses on optimizing manufacturing resources, improving business value and safety, and reducing waste - both on the floor and in back-office operations. It highlights the applications of the latest manufacturing execution system (MES), intelligent devices, machine-to-machine communication, and data analysis for the production lines and facilities. This book will be useful to manufacturers of finished goods and of sub-assemblies in the automotive, agriculture, and construction equipment sector. It will also provide solutions to make production strategies exceptional and can be a useful reference for beginners, researchers, and professionals interested in intelligent manufacturing technologies.

Semisolid metallurgy (SSM) is now some 37-years-old in terms of time from its conception and ?rst reduction to practice in the laboratory. In the intervening years, there has been a steadily growing body of research on the subject and the beginning of signi?cant industrial applications. The overall ?eld of SSM comprises today a large number of speci?c process routes, almost all of which fall in the category of either "Rheocasting" or Thi- casting." The former begins with liquid metal and involves agitation during partial solidi?cation followed by forming. The latter begins with solid metal of suitable structure and involves heating to the desired fraction solid and forming. Research over the past 37 years, and particularly over the last decade, has provided a detailed picture of process fundamentals and led to a wide range of speci?c SSM processes and process innovations. Industrial studies and actual p- duction experience are providing a growing picture of the process advantages and limitations. At this time, the conditions for eventual wide adoption of SSM appear favorable, both for nonferrous and ferrous alloys. It must, however, be recognized that major innovations, such as SSM become adopted only slowly by industries where capital costsarehigh,pro?tmarginsaremodest,andfailuretomeetcustomercommitments carries a high penalty.

This book expands on the subject matter of 'Computational Electromagnetics and Model-Based Inversion: A Modern Paradigm for Eddy-Current Nondestructive Evaluation.' It includes (a) voxel-based inversion methods, which are generalizations of model-based algorithms; (b) a complete electromagnetic model of advanced composites (and other novel exotic materials), stressing the highly anisotropic nature of these materials, as well as giving a number of applications to nondestructive evaluation; and (c) an up-to-date discussion of stochastic integral equations and propagation-of-uncertainty models in nondestructive evaluation. As such, the book combines research started twenty-five years ago in advanced composites and voxel-based algorithms, but published in scattered journal articles, as well as recent research in stochastic integral equations. All of these areas are of considerable interest to the aerospace, nuclear power, civil infrastructure, materials characterization and biomedical industries. The book covers the topic of computational electromagnetics in eddy-current nondestructive evaluation (NDE) by emphasizing three distinct topics: (a) fundamental mathematical principles of volume-integral equations as a subset of computational electromagnetics, (b) mathematical algorithms applied to signal-processing and inverse scattering problems, and (c) applications of these two topics to problems in which real and model data are used. It is therefore more than an academic exercise and is valuable to users of eddy-current NDE technology in industries as varied as nuclear power, aerospace, materials characterization and biomedical imaging.

This book describes the operations and industrial processes related to the production of advanced materials including ingot and powder metallurgy processing routes.

It outlines the deformation processing mechanisms inducing failure at both ambient and high temperatures. Further, it embodies practical knowledge and engineering mechanisms of traditional and unorthodox material disposal approaches, concurrently with gear cutting/ manufacturing and computer numerically controlled machining. The surface fusion of metals in the production of coatings via the process of laser cladding is also covered.

Features:

• Covers novel and multi-variety techniques of materials processing and manufacturing.
• Reports on the significant variables of the processes and basic operations of advanced materials.
• Discusses fundamental and engineering machining analysis.
• Includes novel fabrication of TiAl alloys using both powder and ingot metallurgy routes.
• Enables critical thinking through technical problem solving of local service manufacturers.

This book is aimed at researchers and graduate students in materials and manufacturing engineering.

No pyrometallurgical smelter can operate without some form of tapping system. It is the one thing all smelters have in common. This collection discusses this meeting point of the science, technology, and skill involved in this process. The tap-hole design process includes a set of design criteria, which need to be revised as the results of laboratory, computational fluid dynamics (CFD), and time-and-motion studies become available. The tap-hole life cycle is considered in this volume, with authors addressing the requirements for installation and operability as well as for maintenance. Matters such as online monitoring of the tap-hole wear, handling of liquid products, and extraction of fumes are all discussed. Although much has been done to make the tapping process as automatic as possible, tapping of smelters cannot be done without labor. Tap floor operators work in harsh environments where safety is of utmost importance. Selection of suitable personnel and intensive training is required and is discussed in this collection.

Recently, many new technologies have been developed for engineers to reduce the time required to design and manufacture products in response to rapidly fluctuating market demands. This book addresses a variety of contemporary methodologies, technologies and tools for rapid response manufacturing. The contributions to this volume focus on two major RRM areas: desktop manufacturing and computer and information technologies. Rapid Response Manufacturing is an invaluable resource for research engineers, product design and manufacturing engineers, graduate engineering students, and all those concerned with concurrent engineering.

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems; finite automata; labelled Petri nets; and cellular automata. The book's perspective is primarily based on topological properties though it also employs semitensor-product and graph-theoretic methods where appropriate. It presents a series of fundamental results: invertibility, observability, detectability, reversiblity, etc., with applications to systems biology. Academic researchers with backgrounds in applied mathematics, engineering or computer science and practising engineers working with discrete-time and discrete-space systems will find this book a helpful source of new understanding for this increasingly important class of systems. The basic results to be found within are of fundamental importance for further study of related problems such as automated synthesis and safety control in cyber-physical systems using formal methods.

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.

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.

The text explores the development, use, and effect of additive manufacturing and digital manufacturing technologies for diverse applications. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, and materials science. This book: Discusses the application of 3D virtual models to lasers, electron beams, and computer-controlled additive manufacturing machines Covers applications of additive manufacturing in diverse areas including healthcare, electronics engineering, and production engineering Explains the use of additive manufacturing for biocomposites and functionally graded materials Highlights rapid manufacturing of metallic components using 3D printing Illustrates production and optimization of dental crowns using additive manufacturing This book covers recent developments in manufacturing technology, such as additive manufacturing, 3D printing, rapid prototyping, production process operations, and manufacturing sustainability. The text further emphasizes the use of additive manufacturing for biocomposites and functionally graded materials. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, automotive engineering, aerospace engineering, and materials science.

This book addresses the vital importance of reshoring US manufacturing capability to ensure economic and military security and then discusses the proven methods that the United States used to gain manufacturing supremacy in the first place. The vital takeaway is: If the job can be made sufficiently productive, the per-unit labor cost ceases to be relevant which means a business can pay high wages, realize high profits, and deliver low prices simultaneously. The contest is then not between high wages and cheap labor, but between efficiency and inefficiency and, when automation is involved, machine against machine. Readers will be able to put these principles to work very quickly to achieve tangible results. The relatively low Federal minimum wage has meanwhile become a major issue, but inflation skyrocketed in the second quarter of 2022 when higher wages, and higher demand for goods and services, were not matched with higher productivity. The book addresses the relationship between the money supply and the velocity of money to prices, wages, and productivity. A manufacturing resurgence in the United States will not only increase our standard of living enormously but generate taxable economic activity that will help pay down rather than increase the Federal debt. Higher productivity also delivers a greater supply of goods to accompany higher wages, and thus works against inflation. This can prevent looming recessions and disruptions.

This book comprises select proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. The book focuses on the latest developments in the domain of operations management and systems engineering, and presents analytical models, case studies, and simulation approaches relevant to a wide variety of systems engineering problems. Topics such as decision sciences, human factors and ergonomics, transport and supply chain management, manufacturing design, operations research, waste management, modeling and simulation, reliability and maintenance, and sustainability in operations and manufacturing are discussed in this book. The contents of this book will be useful to academics, researchers and practitioners working in the field of systems engineering and operations management.

This volume comprises select proceedings of the International Conference on Humanizing Work and Work Environment organized by the Indian Society of Ergonomics (HWWE2019). The book presents research findings on different areas of ergonomics for developing appropriate tools and work environment considering capabilities and limitations of working people for maximum effectiveness on their performance. This volume will be of interest to academics, professionals and practitioners in the field of ergonomics.

This book includes a selection of peer-reviewed papers presented at the 10th China Academic Conference on Printing and Packaging, which was held in Xi'an, China, on November 14-17, 2019. The conference was jointly organized by the China Academy of Printing Technology, Beijing Institute of Graphic Communication, and Shaanxi University of Science and Technology. With 9 keynote talks and 118 papers on graphic communication and packaging technologies, the conference attracted more than 300 scientists. The proceedings cover the latest findings in a broad range of areas, including color science and technology, image processing technology, digital media technology, mechanical and electronic engineering, Information Engineering and Artificial Intelligence Technology, materials and detection, digital process management technology in printing and packaging, and other technologies. As such, the book appeals to university researchers, R&D engineers and graduate students in the graphic arts, packaging, color science, image science, material science, computer science, digital media, and network technology.

These proceedings showcase the best papers selected from more than 500 submissions, and introduce readers to the hottest research topics and the latest developmental trends in the theory and application of MMESE. The integrated and advanced science research topic Man-Machine-Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Long from October 22nd, 1993, Qian wrote: "You have created a very important modern science and technology in China!" MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, "Man" refers to working people as the subject in the workplace (e.g. operators, decision-makers); "Machine" is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and "Environment" describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three main goals of optimizing man-machine-environment systems are to ensure safety, efficiency and economy. These proceedings present interdisciplinary studies on essential concepts and methods from physiology, psychology, system engineering, computer science, environmental science, management, education, and other related disciplines. As such, they offer a valuable resource for all researchers and professionals whose work involves interdisciplinary areas touching on MMESE subjects.

This book highlights the models developed to create a sustainable framework suitable for luxury in the textile sector and the innovative attempts in the luxury fashion and fabrics industry. The three chapters in this book discuss these issues by means of case studies and the future of such models.

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.

This book reviews the active faults around nuclear power plants in Japan and recommends an optimal method of nuclear power regulation controlled by the Nuclear Regulation Authority of Japan. The active faults around nuclear power plants have been underestimated in Japan since the latter half of the 20th century. However, based on the lessons learned from the Fukushima nuclear power plant accident, the book sheds light on why the risks of active faults were underestimated, and discusses the optimal scientific method of assessing those risks. Further, the author shares his experiences in the new standard for nuclear regulation creation team and in the active fault survey at the Nuclear Regulation Authority of Japan. This book is a valuable resource for students, researchers, academic and policy-makers, as well as non-experts interested in nuclear safety.

This book gathers papers presented at the 11th international scientific conference "Transbaltica: Transportation Science and Technology", held on May 2-3, 2019 at Vilnius Gediminas Technical University, Lithuania. It covers cutting-edge issues concerning research and development of modern transport systems. The chapters, written by an international group of experts, discuss novel and smart solutions in the area of vehicle engineering, including environmentally friendly technologies, topics relating to traffic safety, modeling and control, and solutions and challenges in modern logistics. Further topics include multimodal transport and vehicle automation. Providing comprehensive information and ideas concerning innovative transportation technologies and challenges, this book offers a valuable resource for transportation researchers and practitioners, including engineers, managers and decision-makers in the field.