Resources designed to support learners of the 2010 BTEC Level 2 First Engineering specification*. Covers all mandatory and 6 optional units providing the breadth of units needed to tailor this course to the needs and interests of specific groups of learners. Visually-appealing learner-friendly format. Assessment activities in each unit covering all assessment criteria give students the opportunity to practice for their assignments and deepen their knowledge and understanding. WorkSpace case studies take learners into the real world of work, showing them how they can apply their knowledge in a real-life context. Advice from former students: shows current learners how they can make their BTEC experience a stepping stone to success. * From 2012, Pearson's BTEC First qualifications have been under re-development, so schools and colleges could be teaching the existing 2010 specification or the new next generation 2012-2013 specification. There are different Student Books to support each specification. If learners are unsure, they should check with their teacher or tutor.

The contributions to this volume are based on selected lectures from the first international workshop on decoherence, information, complexity and entropy (DICE). The aim of this volume is to reflect the growing importance ot common concepts behind seemingly different fields such as quantum mechanics, general relativity and statistical physics in a form accessible to nonspecialist researchers. Many presentations include original results which published here for the first time.

This text provides an in-depth overview of sustainability in machining processes, challenges during machining of difficult-to-cut materials and different ways of green machining in achieving sustainability. It discusses important topics including green and sustainable machining, dry machining, textured cutting coated tools for machining, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data based machining, and hybrid intelligent machining. This book- Covers advances in sustainable machining such as gas-cooled machining, near dry machining, and minimum quantity lubrication. Explores use of big data, machine learning and artificial intelligence for machining processes. Provides case studies and experimental design as well as results with analysis focusing on achieving sustainability. Discusses artificial intelligence and machine learning based machining processes. Cover the latest applications of sustainable manufacturing for a better understanding of the concepts. The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of mechanical, manufacturing, industrial, production engineering and materials science.

This book gathers the proceedings of the EPPM 2019 conference, and highlights innovative work by researchers and practitioners active in various industries around the globe. Recent advances in science and technology have made it possible to seamlessly connect and integrate various elements of engineering systems, and opened the door for innovations that have transformed how we live and work. While these developments have yielded enhanced efficiency and numerous improvements in our current practices, the problems caused by the increased complexity of these integrated systems can be extremely difficult. Accordingly, solving these problems involves applying cross-disciplinary expertise to address the heterogeneity of the various elements inherent in the system. These proceedings address four main themes: (I) Smart and Sustainable Construction, (II) Advances in Project Management Practices, (III) Toward Safety and Productivity Improvement, and (IV) Smart Manufacturing, Design, and Logistics. As such, they will be of interest to and valuable to researchers and practitioners in a range of industries seeking an update on the translational fields of engineering, project, and production management.

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

This book is a state of the art treatise on what has been done so far on measuring sustainability for decision making. Contributions will appeal to engineers and scientists engaged in technology development, assessment, and verification. Researchers working on engineering sustainability are likely to get ideas for further research in quantifying sustainability for industrial systems. Concepts described can be applied across all scales, from process technology to global sustainability; and challenges and limitations are also addressed. Readers will discover important insights about simulation-based approaches to process design and quantitative measurement techniques of sustainability for business and technology systems. Most of the examples and case studies are from chemical enterprises but the methodologies presented could be applicable to any system for which quantitative data for indicators are available, and the choice of the set of indicators of sustainability are comprehensive.

Because of its versatility in analyzing a broad range of applications, multibody dynamics has grown in the past two decades to be an important tool for designing, prototyping, and simulating complex articulated mechanical systems. This textbooka "a result of the authora (TM)s many years of research and teachinga "brings together diverse concepts of dynamics, combining the efforts of many researchers in the field of mechanics. Bridging the gap between dynamics and engineering applications such as microrobotics, virtual reality simulation of interactive mechanical systems, nanomechanics, flexible biosystems, crash simulation, and biomechanics, the book puts into perspective the importance of modeling in the dynamic simulation and solution of problems in these fields.

To help engineering students and practicing engineers understand the rigid-body dynamics concepts needed for the book, the author presents a compiled overview of particle dynamics and Newtona (TM)s second law of motion in the first chapter. A particular strength of the work is its use of matrices to generate kinematic coefficients associated with the formulation of the governing equations of motion. Additional features of the book include:

* numerous worked examples at the end of each section

* introduction of boundary-element methods (BEM) in the description of flexible systems

* up-to-date solution techniques for rigid and flexible multibody dynamics using finite- element methods (FEM)

* inclusion of MATLAB-based simulations and graphical solutions

* in-depth presentation of constrained systems

* presentation of the general form of equations of motion ready for computerimplementation

* two unique chapters on stability and linearization of the equations of motion

Junior/senior undergraduates and first-year graduate engineering students taking a course in dynamics, physics, control, robotics, or biomechanics will find this a useful book with a strong computer orientation towards the subject. The work may also be used as a self-study resource or research reference for practitioners in the above-mentioned fields.

This collection of proceedings from the International Conference on Systems Engineering, Las Vegas, 2014 is orientated toward systems engineering, including topics like aero-space, power systems, industrial automation and robotics, systems theory, control theory, artificial intelligence, signal processing, decision support, pattern recognition and machine learning, information and communication technologies, image processing, and computer vision as well as its applications. The volume's main focus is on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern achievements in systems engineering.

The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It consists of three parts:- an introduction to the fundamental principles of neural networks;- several methods for nonlinear identification using neural networks;- various techniques for nonlinear control using neural networks.A number of simulated and industrial examples are used throughout the monograph to demonstrate the operation of nonlinear identification and control techniques using neural networks. It should be emphasised that the methods and systems of nonlinear control have not progressed as rapidly as those for linear control. Comparatively speaking, at the present time, they are still in the development stage. We believe that the fundamental theory, various design methods and techniques, and several applications of nonlinear identification and control using neural networks that are presented in this monograph will enable the reader to analyse and synthesise nonlinear control systems quantitatively.

The Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly "customer-centric", from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. Developing an information system (IS) that is the backbone of the digital transformation - called "exponential information system" to designate an open IS (in particular on its borders), capable of interfacing and combining with external services, positioned as a player in software ecosystems and built for processing scalable and dynamic data flows. The exponential information system is constantly changing and it continuously absorbs the best of information processing technology, such as Artificial Intelligence and Machine Learning. 3. Building software "micro-factories" that produce service platforms, which are called "Lean software factories." This "software factory" concept covers the integration of agile methods, tooling and continuous integration and deployment practices, a customer-oriented product approach, and a platform approach based on modularity, as well as API-based architecture and openness to external stakeholders. This software micro-factory is the foundation that continuously produces and provides constantly evolving services. These three capabilities are not unique or specific to this book, they are linked to other concepts such as agile methods, product development according to lean principles, software production approaches such as CICD (continuous integration and deployment) or DevOps. This book weaves a common frame of reference for all these approaches to derive more value from the digital transformation and to facilitate its implementation. The title of the book refers to the "lean approach to digital transformation" because the two underlying frameworks, Lean Startup and Lean Software Factory, are directly inspired by Lean, in the sense of the Toyota Way. The Lean approach is present from the beginning to the end of this book -- it provides the framework for customer orientation and the love of a job well done, which are the conditions for the success of a digital transformation.

Presents reasons for the supply chain disruption from various perspective and includes case studies along with an historical perspective for guidance Explores how the supply chain will take shape post COVID-19 Discusses likely future scenarios of new and emerging supply chains Describes various MCDM tools used to make complex decisions by companies to stay ahead Offers domain experts' opinions and views to help in formulating real-time strategies

From the prediction of complex weather patterns to the design of swimsuits, modeling has, over the years, quietly but steadily become an essential part of almost every field and industry and steelmaking is no exception. Factors such as visual opacity, high operating temperature, and the relatively large size of industrial reactors often preclude direct experimental observation in steel manufacturing. Therefore the industry is overwhelmingly dependent on modeling to quickly and cost-effectively provide insight into analysis, design, optimization, and control of processing. However, few, if any, books offer the adequate coverage of modeling.

Addresses Fundamental Principles of Physical and Mathematical Modeling in Steelmaking Processes

Modeling of Steelmaking Processes meets that ever-present demand and provides a solid knowledge base on which to build. With content designed to serve professionals and students, this book starts with an overview of steelmaking and develops into a focused description of underlying scientific fundamentals and applications.

This powerful learning tool:

• Presents an overview of steelmaking, the relevance of modeling and measurements, the evolution of steelmaking, and modern technology
• Discusses emerging issues, such as environmental emissions, recycling, and product development and quality
• Reviews computational fluid dynamics (CFD) software
• Analyzes mechanistic, AI-based, and macroscopic models, to provide a holistic view of steelmaking process modeling
• Provides useful questions and problems, as well as a practice session on modeling, to reinforce understanding

Developed as a self-tutorial, this text explores thermodynamic principles, analysis of metallurgical kinetics and transport phenomena, and key numerical methods, helping readers easily navigate a generally complex subject.

* Takes the reader through the entire development process from land acquisition to completion and refinancing or sale * Aimed out aspiring professionals looking to move into development from other areas * Includes a glossary of terms

This book is a novel contribution to a field dominated by conventional approaches to project management, it is about narratives in megaprojects. Some of the questions examined in this original new book include: * What are narratives? * Why are they important in megaprojects? * How are they formed and used in megaprojects? * How do promotors of and protestors against megaprojects craft narratives to their advantage? * What strategies can project managers employ to effectively use narratives in megaprojects? Built from longitudinal research studies in combination with internationally recognised teaching materials, this book will provide readers with a theoretical understanding of narratives and projects, as well as practical international case studies, including HS2, the Eden Project, the Sochi Olympics, Hyderabad and Chennai Metros, Westconnex and Tideway, to support their understanding. The authors explain the different types of narrative, how and why they are important in general and in relation to a megaproject and its life-cycle, but also how to craft narratives in different situations, and how they are changed and maintained over a project life-cycle. Narratives in Megaprojects doubles as a text supporting more advanced courses on project management or aspects thereof, and as a reflection of the state of the art in this particular perspective on megaprojects. It is essential reading for all students and professionals in Project Management, Construction, Infrastructure and Executive Leaders involved in megaprojects and infrastructure delivery.

Beginning with realistic mathematical or verbal models of physical or biological phenomena, the author derives tractable mathematical models that are amenable to further mathematical analysis or to elucidating computer simulations. For the most part, derivations are based on perturbation methods. Because of this, the majority of the text is devoted to careful derivations of implicit function theorems, the method of averaging, and quasi-static state approximation methods. The duality between stability and perturbation is developed and used, relying heavily on the concept of stability under persistent disturbances. This explains why stability results developed for quite simple problems are often useful for more complicated, even chaotic, ones. Relevant topics about linear systems, nonlinear oscillations, and stability methods for difference, differential-delay, integro- differential and ordinary and partial differential equations are developed throughout the book. For the second edition, the author has restructured the chapters, placing special emphasis on introductory materials in Chapters 1 and 2 as distinct from presentation materials in Chapters 3 through 8. In addition, more material on bifurcations from the point of view of canonical models, sections on randomly perturbed systems, and several new computer simulations have been added.

This book gathers the proceedings of the I-ESA'20 Conference, which was organised by the National Engineering School of Tarbes (ENIT), on behalf of the European Virtual Laboratory, for Enterprise Interoperability (INTEROP-VLab) and the Pole Grand Sud-Ouest (PGSO) and was held virtually in Tarbes, France, in November 2020. It presents contributions ranging from academic research and case studies to industrial and administrative experiences with interoperability. These contributions show how, in a globalised market scenario-where the ability to cooperate with other organisations efficiently is essential in order to remain economically, socially and environmentally cost-effective-the most innovative digitised and networked enterprises ensure that their systems and applications can interoperate across heterogeneous collaborative networks of independent organisations. The focus of this edition of the conference is on interoperability in the era of artificial intelligence and so particular attention is paid to Industry 4.0 and the Internet of Things. The content also addresses smart services and the business impact of enterprise interoperability on organisations. Many of the papers in this tenth volume of the I-ESA Conference proceedings include examples and illustrations to help deepen readers' understanding and generate new ideas. Offering a detailed guide to the state of the art in systems interoperability, the book will be of great value to all engineers and computer scientists working in manufacturing and other process industries, and to software engineers and electronic and manufacturing engineers working in academic settings.

Essential reading on the latest advances in virtual prototyping and rapid manufacturing. Includes 110 peer reviewed papers covering: 1. Biomanufacturing, 2. CAD and 3D data acquisition technologies, 3. Materials, 4. Rapid tooling and manufacturing, 5. Advanced rapid prototyping technologies and nanofabrication, 6. Virtual environments and simulation and 7. Novel Applications. For all thos working on V&RP, focused on inducing increased collaboration between industry and academia.

Presents a comprehensive review of classic hypersonic flow from the Newtonian theory to blast wave analogue. Introduces nonequilibrium chemical kinetics to gas dynamics for hypersonic flows in the high-enthalpy state. Integrates quantum mechanics to high-enthalpy hypersonic flows including dissociation and ionization. Covers the complete heat transfer process with radiative energy transfer for thermal protection of earth reentry vehicle. Develops and verifies the interdisciplinary governing equations for understanding and analyzing realistic hypersonic flows.

Explores the history and significance of interplanetary space missions. Features detailed explanations and mathematical methods for trajectory optimization. Includes detailed explanations and mathematical methods for mission analysis for interplanetary missions. Covers the introduction, mathematical methods, and applications of the N-body problem (N>2). Discusses navigation and targeting for interplanetary mission.

The Cloud Computing and Services Science book comprises a collection of the best papers presented at the International Conference on Cloud Computing and Services Science (CLOSER), which was held in The Netherlands in May 2011. In netting papers from the conference researchers and experts from all over the world explore a wide-ranging variety of the emerging Cloud Computing platforms, models, applications and enabling technologies. Further, in several papers the authors exemplify essential links to Services Science as service development abstraction, service innovation, and service engineering, acknowledging the service-orientation in most current IT-driven structures in the Cloud.

The Cloud Computing and Services Science book is organized around important dimensions of technology trends in the domain of cloud computing in relation to a broad scientific understanding of modern services emerging from services science. The papers of this book are inspired by scholarly and practical work on the latest advances related to cloud infrastructure, operations, security, services, and management through the global network. This book includes several features that will be helpful, interesting, and inspirational to students, researchers as well as practitioners. Professionals and decision makers working in this field will also benefit from this book

The aim of the book is to lay out the foundations and provide a detailed treatment of the subject. It will focus on two main elements in dual phase evolution: the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems. The book will provide a coherent picture of dual phase evolution that encompasses these two elements and frameworks, methods and techniques to use this concept for problem solving.

This book guides process-industry professionals from the implementation of the basic foundations of Continuous Improvement (CI) through to an organization where CI is a "way of life" and a defining feature of the culture of the organization. The readers of this book are seeking solutions to such pressing issues as: * Eliminating accidents and near misses. * Reducing customer complaints. * Improving customer delivery performance. * Elimination of accidents and near misses. * Reducing customer complaints. * Improving customer delivery performance. * Introducing new products. * Improving staff productivity. * Removing costs to meet the budget. * Dealing with absence and poor morale. * Improving staff retention. This book provides them with guidance on how to address issues in these areas in a way that enables improvements to be realized quickly but not at the expense of a long-term goal of a sustainable Continuous Improvement culture. In addition, this book presents the implementation of CI as a cyclical journey with no endpoint. The stages are ordered in a sequence that enables the reader to get started in their area of the company and build up the elements without the need for an overall organizational strategy at the beginning. Continuous Improvement is a vast subject with many takes on principles, approaches, and tools. This book is about how all the fundamentals of these areas fit together and, as such, covers only some of them. However, within the bibliography, I have signposted the books that have guided me during my career and which go into the principles, approaches, and tools further.

This book guides process-industry professionals from the implementation of the basic foundations of Continuous Improvement (CI) through to an organization where CI is a "way of life" and a defining feature of the culture of the organization. The readers of this book are seeking solutions to such pressing issues as: * Eliminating accidents and near misses. * Reducing customer complaints. * Improving customer delivery performance. * Elimination of accidents and near misses. * Reducing customer complaints. * Improving customer delivery performance. * Introducing new products. * Improving staff productivity. * Removing costs to meet the budget. * Dealing with absence and poor morale. * Improving staff retention. This book provides them with guidance on how to address issues in these areas in a way that enables improvements to be realized quickly but not at the expense of a long-term goal of a sustainable Continuous Improvement culture. In addition, this book presents the implementation of CI as a cyclical journey with no endpoint. The stages are ordered in a sequence that enables the reader to get started in their area of the company and build up the elements without the need for an overall organizational strategy at the beginning. Continuous Improvement is a vast subject with many takes on principles, approaches, and tools. This book is about how all the fundamentals of these areas fit together and, as such, covers only some of them. However, within the bibliography, I have signposted the books that have guided me during my career and which go into the principles, approaches, and tools further.