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Introduction to Polymer Chemistry (Fourth Edition)
by Charles E. Carraher Jr.Introduction to Polymer Chemistry provides undergraduate students with a much-needed, well-rounded presentation of the principles and applications of natural, synthetic, inorganic, and organic polymers. With an emphasis on the environment and green chemistry and materials, this fourth edition continues to provide detailed coverage of natural and synthetic giant molecules, inorganic and organic polymers, elastomers, adhesives, coatings, fibers, plastics, blends, caulks, composites, and ceramics. Building on undergraduate work in foundational courses, the text fulfills the American Chemical Society Committee on Professional Training (ACS CPT) in-depth course requirement
Introduction to Polymer Rheology
by Montgomery T. ShawAn introduction to the rheology of polymers, with simple math Designed for practicing scientists and engineers interested in polymer rheology science, education, consulting, or research and development, Introduction to Polymer Rheology is a comprehensive yet accessible guide to the study of the deformation and flow of matter under applied stress. Often considered a complicated topic for beginners, the book makes grasping the fundamentals of polymer rheology easy by presenting information in an approachable way and limiting the use of complex mathematics. By doing so, this introductory overview provides readers with easy access to the key concepts underlying the flow behavior of polymer melts, solutions, and suspensions. Incorporating sample problems that are worked through and explained on the page, as well as numerous practice problems to gauge learning comprehension, the book prepares new students and practitioners for moving on to more advanced concepts. Comprising twelve chapters, the book covers stress, velocity and rate of deformation, the relationship between stress and rate of deformation (Newtonian fluid), generalized Newtonian fluids, normal stresses and elastic behavior, experimental methods, small and large strain, the molecular origins of rheological behavior, elementary polymer processing concepts, quality control in rheology, and the flow of modified polymers and those with supermolecular structure. The essential reference for accurately interpreting polymer rheology data, Introduction to Polymer Rheology provides readers with an elementary understanding of the key issues and modern approaches to resolving problems in the field. An Instructor's Guide with answers to select problems in the text, 60 new problems with full solutions, hints for effective presentation of the material in the text, and an errata listing is available for professors using the book as a course textbook.
Introduction to Polymer Rheology and Processing
by Nicholas P. CheremisinoffAn Introduction to Polymer Rheology and Processing is a practical desk reference providing an overview of operating principles, data interpretation, and qualitative explanation of the importance and relationship of rheology to polymer processing operations. It covers full-scale processing operations, relating industrial processing operations and design methodology to laboratory-scale testing. Hundreds of design formulas applicable to scaling up the processing behavior of polymeric melts are presented. The book also provides a "working knowledge" description of major rheological test methods useful in product development and includes a useful glossary of polymer and test method/instrumentation definitions. Lavishly illustrated and featuring numerous sample calculations and modeling approaches, An Introduction to Polymer Rheology and Processing is a "must have" book for polymer engineers and rheologists.
Introduction to Polymer Science and Chemistry: A Problem-Solving Approach, Second Edition
by Manas ChandaIndustry and academia remain fascinated with the diverse properties and applications of polymers. However, most introductory books on this enormous and important field do not stress practical problem solving or include recent advances, which are critical for the modern polymer scientist-to-be. Updating the popular first edition of "the polymer book for the new millennium," this volume seamlessly integrates exploration of the fundamentals of polymer science and polymer chemistry. It is peppered with helpful questions and answers throughout to enhance understanding of presented theories and concepts.
Introduction to Polymer Viscoelasticity
by Montgomery T. Shaw William J. MacKnightCompletely revised and updated, the fourth edition of this classic text continues to offer the reader a thorough understanding of viscoelastic behavior, essential for the proper utilization of polymers. Explains principles, corresponding equations, and experimental methods with supporting real-life applications Adds coverage of measurement techniques (nano-indentation, atomic force microscopy (AFM), and diffusing wave spectroscopy (DWS)), biopolymer viscoelasticity, and the relationship between mechanical polymer properties and viscoelastic functions Has two new ections to address modern areas of viscoelastic measurement: large amplitude oscillatory shear (LAOS) and microrheology Includes problems in the text and an Instructor’s Manual (including solutions) available for adopting professors Prior edition reviews: "The book is clear written and…[is] appropriate for students in introductory undergraduate courses and for others wanting introduction to the fundamentals of the subject." (CHOICE, December 2005); "This book is invariably well written, logically organized and easy to follow...I highly recommend this book to anyone studying polymer viscoelasticity." (Polymer News, December 2005)
Introduction to Polyphasic Dispersed Systems Theory
by Jacques ThierieThis book introduces a new paradigm in system description and modelling. The author shows the theoretical and practical successes of his approach, which involves replacing a traditional uniform description with a polyphasic description. This change of perspective reveals new fluxes that are cryptic in the classical description. Several case studies are given in this book, which is of interest of those working with biotechnology and green chemistry.
An Introduction to Polysaccharide Biotechnology
by Stephen E. Harding Michael P. Tombs Gary G. Adams Berit Smestad Paulsen Kari Tvete Inngjerdingen Hilde BarsettPolysaccharides and related high molecular weight glycans are hugely diverse with wide application in Biotechnology and great opportunities for further exploitation. An Introduction to Polysaccharide Biotechnology – a second edition of the popular original text by Tombs and Harding – introduces students, researchers, clinicians and industrialists to the properties of some of the key materials involved, how these are applied, some of the economic factors concerning their production and how they are characterized for regulatory purposes.
An Introduction to Practical Formal Methods Using Temporal Logic
by Michael FisherThe name "temporal logic" may sound complex and daunting; but while they describe potentially complex scenarios, temporal logics are often based on a few simple, and fundamental, concepts - highlighted in this book. An Introduction to Practical Formal Methods Using Temporal Logic provides an introduction to formal methods based on temporal logic, for developing and testing complex computational systems. These methods are supported by many well-developed tools, techniques and results that can be applied to a wide range of systems.Fisher begins with a full introduction to the subject, covering the basics of temporal logic and using a variety of examples, exercises and pointers to more advanced work to help clarify and illustrate the topics discussed. He goes on to describe how this logic can be used to specify a variety of computational systems, looking at issues of linking specifications, concurrency, communication and composition ability. He then analyses temporal specification techniques such as deductive verification, algorithmic verification, and direct execution to develop and verify computational systems. The final chapter on case studies analyses the potential problems that can occur in a range of engineering applications in the areas of robotics, railway signalling, hardware design, ubiquitous computing, intelligent agents, and information security, and explains how temporal logic can improve their accuracy and reliability.Models temporal notions and uses them to analyze computational systemsProvides a broad approach to temporal logic across many formal methods - including specification, verification and implementationIntroduces and explains freely available tools based on temporal logics and shows how these can be appliedPresents exercises and pointers to further study in each chapter, as well as an accompanying website providing links to additional systems based upon temporal logic as well as additional material related to the book.
Introduction to Precision Machine Design and Error Assessment
by Samir MekidWhile ultra-precision machines are now achieving sub-nanometer accuracy, unique challenges continue to arise due to their tight specifications. Written to meet the growing needs of mechanical engineers and other professionals to understand these specialized design process issues, Introduction to Precision Machine Design and Error Assessment places
Introduction to Printed Electronics
by Katsuaki SuganumaThis book describes in detail modern technologies for printed electronics, explaining how nanotechnology and modern printing technology are merging to revolutionize electronics fabrication of thin, lightweight, large and inexpensive products. Readers will benefit from the explanations of materials, devices and circuits used to design and implement the latest applications of printed electronics, such as thin flexible OLED displays, organic solar cells, OLED lighting, smart wallpaper, sensors, logic, memory and more.
Introduction to Probabilistic and Statistical Methods with Examples in R (Intelligent Systems Reference Library #176)
by Katarzyna StaporThis book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.
An Introduction to Probability and Statistics
by Vijay K. Rohatgi A.K. Md. SalehA well-balanced introduction to probability theory and mathematical statistics Featuring a comprehensive update, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided into three parts, the Third Edition begins by presenting the fundamentals and foundations of probability. The second part addresses statistical inference, and the remaining chapters focus on special topics. Featuring a substantial revision to include recent developments, An Introduction to Probability and Statistics, Third Edition also includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked-out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate- level students majoring in probability and statistics.
Introduction to Probability and Statistics for Engineers
by Milan HolickýThe theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.
Introduction to Process Control
by Victor A. SkorminThis textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.
Introduction to Process Control, Third Edition (Chemical Industries)
by Jose A. Romagnoli Ahmet PalazogluIntroduction to Process Control, Third Edition continues to provide a bridge between traditional and modern views of process control by blending conventional topics with a broader perspective of integrated process operation, control, and information systems. Updated and expanded throughout, this third edition addresses issues highly relevant to today’s teaching of process control: Discusses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts that are part of current smart manufacturing decisions Includes extensive references to guide the reader to the resources needed to solve modeling, classification, and monitoring problems Introduces the link between process optimization and process control (optimizing control), including the effect of disturbances on the optimal plant operation, the concepts of steady-state and dynamic back-off as ways to quantify the economic benefits of control, and how to determine an optimal transition policy during a planned production change Incorporates an introduction to the modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations Analyzes the expanded role of process control in modern manufacturing, including model-centric technologies and integrated control systems Integrates data processing/reconciliation and intelligent monitoring in the overall control system architecture Drawing on the authors’ combined 60 years of teaching experiences, this classroom-tested text is designed for chemical engineering students but is also suitable for industrial practitioners who need to understand key concepts of process control and how to implement them. The text offers a comprehensive pedagogical approach to reinforce learning and presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner and uses the same problem in each chapter, culminating in a complete control design strategy. A vast number of exercises throughout ensure readers are supported in their learning and comprehension. Downloadable MATLAB® toolboxes for process control education as well as the main simulation examples from the book offer a user-friendly software environment for interactively studying the examples in the text. These can be downloaded from the publisher’s website. Solutions manual is available for qualifying professors from the publisher.
Introduction to Process Plant Projects
by H. Selcuk Agca Giancarlo CotoneThe book covers all stages of process plant projects from initiation to completion and handover by describing the roles and actions of all functions involved. It discusses engineering, procurement, construction, project management, contract administration, project control and HSE, with reference to international contracting and business practices.
Introduction to Product Design and Development for Engineers
by Dr. Ali JamniaIntroduction to Product Design and Development for Engineers provides guidelines and best practices for the design, development, and evaluation of engineered products. Created to serve fourth year undergraduate students in Engineering Design modules with a required project, the text covers the entire product design process and product life-cycle, from the initial concept to the design and development stages, and through to product testing, design documentation, manufacturability, marketing, and sustainability. Reflecting the author's long career as a design engineer, this text will also serve as a practical guide for students working on their capstone design projects.
Introduction To Programmable Logic Controllers
by Glenn A. Mazur William J. WeindorfProgrammable logic controllers (PLCs) are increasing in use, and technicians in all fields must be familiar with the fundamentals of installing, programming, and troubleshooting digital and analog PLCs. Introduction to Programmable Logic Controllers is a text/workbook that provides a solid foundation in PLC theory, installation, programming, operation, and troubleshooting. Many large, detailed drawings of commercial and industrial PLC systems are used to support the information in the textbook. Although hands-on training on industrial equipment is the best training method, teaching the use of digital and analog PLCs is often a challenge because of the high costs of equipment. This training package provides several alternatives to these costs. A CD-ROM is included with Introduction to Programmable Logic Controllers and contains information to supplement the textbook.
Introduction to Project Finance in Renewable Energy Infrastructure: Including Public-Private Investments and Non-Mature Markets
by Farid MohamadiWhat is project finance? What makes project or structured finance so relevant for large renewable energy infrastructure? Which vocabulary do I need to know in order to speak the same language during meetings with lawyers, investors, bankers and engineers? These questions and many more are answered throughout this book, offering real world examples to bridge the gap between theory and practice. The book details the role of each stakeholder in the development of renewable energy projects, the interconnection between all the agreements, the financial process from fundraising to financial close, the processes of due diligence, risk analysis, project investment valuation and much more. It also provides with an introduction to Portfolio Management using renewable energy assets and an explanation of the role of Climate Finance in green energy investments. The commented glossary enables readers to unpick the jargon used in project finance for renewable energy, and the numerous creative figures and comprehensive tables aid with understanding. Offering a complete picture of the discipline, Introduction to Project Finance in Renewable Energy Infrastructure will be of value to professionals, engineers and academics alike interested in understanding the process and components of project finance in renewable energy infrastructures, in both private and public-private contexts.
Introduction to Project Management: A Source Book for Traditional PM Basics
by Davies A. IgberaeseThis book presents the fundamentals of project management in simple language and an easy-to-understand format. It is targeted principally at those who are learning or desiring to learn project management as well as those who are already taking project management as a course of study or as a profession. It covers all the basic aspects of project management including the core areas prescribed by the Project Management Institute (PMI) in the Project Management Body of Knowledge (PMBOK) sixth edition. Although the PMBOK Guide seventh edition has significantly shifted focus from a process based standard to a principle based standard, it does not invalidate nor replace the detailed knowledge base contained in the sixth edition, which substantially emphasizes project management processes and knowledge areas. This is particularly apt for the traditional approach to project delivery, which is predictive in nature and has the bulk of the planning done upfront. The sections of the book are arranged in order of Project Management Processes as they fall within the respective Project Management Knowledge Areas. Experienced project manager, Davies Igberaese, presents all the basic content of traditional project management in a straightforward practical sequence as a typical project manager would go about the processes of initiating, planning, executing, monitoring, and closing a project without losing sight of the iterative nature of project management. The inclusion of Project Management Templates gives students and other users of the book the confidence required to effectively understand the basics of managing a wide variety of projects across disciplines including construction, building, industrial engineering, petroleum engineering, software engineering, information technology, business administration, and event management. Introduction to Project Management: A Source Book for Traditional PM Basics can serve as a core textbook for academic courses in project management, for preparing for PMP and CAPM Certification exams, as an excellent resource for new project managers, as well as a handy reference book for project sponsors.
An Introduction to Project Modeling and Planning (Springer Texts in Business and Economics)
by Gündüz Ulusoy Öncü HazırThis textbook teaches the basic concepts and methods of project management, but also explains how to convert it to useful results in practice. Project management offers a promising working area for theoretical and practical applications, and developing software and decision support systems (DSS). This book specifically focuses on project planning and control, with an emphasis on mathematical modeling. Models and algorithms establish a good starting point for students to study the relevant literature and support pursuing academic work in related fields. The book provides an introduction to theoretical concepts, and it also provides detailed explanations, application examples and case studies that deal with real life problems. The chapter topics include questions that underlie critical thinking, interpretation, analytics, and making comparisons. Learning outcomes are defined and the content of the book is structured in accordance with these goals. Chapter 1 begins by introducing the basic concepts, methods and processes of project management. Chapter 2 explores the fundamentals of organizing and managing projects from an organization’s perspective. Issues related to project team formation, role of project managers, and matrix organization are discussed. Chapter 3 is devoted to project modeling and planning. It explains how to collect proper data in order to perform an analysis and develop mathematical models. Chapter 4 introduces deterministic scheduling models, which can be used in constructing the time schedules. Models employing time-based and finance-based objectives are introduced. Chapter 5 focuses on the time/cost trade-off problem, explaining how to reduce the duration of some of the activities and therefore accelerate the project duration at the expense of additional costs. Chapter 6 introduces different resource management policies including resource portfolio management. Chapter 7 discusses models and methods of scheduling in case of uncertainty models and methods of scheduling in case of uncertainty. Chapter 8 highlights contract types and payment schedules. It explores identification and allocation of risk in contracts, project control issues, disputes and resolution management. Different models and decision support systems are presented in Chapter 9 in order to investigate client-contractor negotiations and the bidding process from different aspects. Chapter 10 covers monitoring and control, mainly the processes and methods behind them. Chapter 11 brings together qualitative and quantitative techniques with simulation and software applications. The design of a risk management process is introduced in detail and at the hand of a case study. Chapter 12 examines several models and approaches of uncertainty in project scheduling, dealing with various aspects of stochastic nature of the decision environment and robustness. Chapter 13 explains the mathematical formulation and solution procedures for resource constrained project scheduling. The project selection problem is inherently a multi-objective problem and is treated as such in Chapter 14. Several models and solution techniques including robust selection methods are introduced. Finally Chapter 15 evaluates recent approaches and promising research areas in project management including strategic project management, agile approaches, and data management in project modeling in the big data era.
An Introduction to Property Valuation
by Alan MillingtonIt is now 25 years since the first edition of this book was written, and the objectives of the fifth edition remain the same as those of the first edition, that is to provide "an introduction to and general background reading for the subject of property valuation". It is directed not just at would be surveyors and valuers, but at all those who may be interested in getting an understanding of property valuation.
Introduction to Python Network Automation Volume II: Stepping up: Beyond the Essentials for Success
by Brendan ChoiContinue your Python network automation journey and delve deeper into advanced techniques and methodologies. Volume 2 of this comprehensive guide takes you beyond the essentials, equipping you with advanced skills and strategies crucial for success in network automation. Building upon the knowledge gained in Volume 1, you’ll set the stage for mastery in this dynamic field. You’ll start by establishing a robust lab environment for advanced automation projects tailored to your needs and use practical exercises to gain valuable insights into essential networking protocols. Then automate repetitive tasks with precision and efficiency by leveraging powerful Python libraries and tools. You’ll also see how to streamline IP address management and data center infrastructure management tasks with Python. Discover advanced techniques for network management and monitoring to optimize network performance and security. Explore the development of custom tools and applications for Cisco IOS upgrade tasks in complex network environments and put your skills to the test with real-world scenarios. All this is designed to solidify your expertise and confidence in network automation practices. Your network management capabilities will be enhanced with advanced tools, such as NetBox. Introduction to Python Network Automation Volume 2 - Stepping up provides a comprehensive roadmap to elevate your skills and excel in the dynamic field of network automation. Whether you're a seasoned professional or a newcomer to the field, this guide equips you with the tools and knowledge needed to thrive in today's network automation landscape. What You Will Learn Apply Python fundamentals and network automation strategies effectively. Utilize Python for streamlined network administration, boosting productivity. Consolidate Linux fundamentals and IP network services for enhanced network management. Practice implementing regular expressions in Python for network application development. Develop working Cisco IOS upgrading Python application in PoC environment. Explore Python's extensive applications in enterprise network automation for versatile solutions. Who This Book Is For IT engineers and developers, network managers and students, who would like to learn network automation using Python.
Introduction to Quality and Reliability Engineering
by Renyan JiangThis book presents the state-of-the-art in quality and reliability engineering from a product life-cycle standpoint. Topics in reliability include reliability models, life data analysis and modeling, design for reliability as well as accelerated life testing and reliability growth analysis, while topics in quality include design for quality, acceptance sampling and supplier selection, statistical process control, production tests such as environmental stress screening and burn-in, warranty and maintenance. The book provides comprehensive insights into two closely related subjects, and includes a wealth of examples and problems to enhance readers' comprehension and link theory and practice. All numerical examples can be easily solved using Microsoft Excel. The book is intended for senior undergraduate and postgraduate students in related engineering and management programs such as mechanical engineering, manufacturing engineering, industrial engineering and engineering management programs, as well as for researchers and engineers in the quality and reliability fields. Dr. Renyan Jiang is a professor at the Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China.
Introduction to Quantum Computing (The Materials Research Society Series)
by Ray LaPierreThis book provides a self-contained undergraduate course on quantum computing based on classroom-tested lecture notes. It reviews the fundamentals of quantum mechanics from the double-slit experiment to entanglement, before progressing to the basics of qubits, quantum gates, quantum circuits, quantum key distribution, and some of the famous quantum algorithms. As well as covering quantum gates in depth, it also describes promising platforms for their physical implementation, along with error correction, and topological quantum computing. With quantum computing expanding rapidly in the private sector, understanding quantum computing has never been so important for graduates entering the workplace or PhD programs. Assuming minimal background knowledge, this book is highly accessible, with rigorous step-by-step explanations of the principles behind quantum computation, further reading, and end-of-chapter exercises, ensuring that undergraduate students in physics and engineering emerge well prepared for the future.