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Books > Professional & Technical > Mechanical engineering & materials > Production engineering
This book provides the key fundamental principles, classifications, recent developments, as well as different applications of additive manufacturing technologies. A comprehensive overview of the different classes is given, covering polymer-based, metal-based and ceramic-based systems. Special topics such as bioprinting and 4D printing are also introduced. The authors discuss the technological aspects of additive manufacturing in a very clear and understandable way, delivered with the help of self-illustrating artworks. This book is particularly designed to suit the curriculum requirements of undergraduate and graduate students enrolled in Mechanical Engineering, Material Science, Product Design and Development, Biomedical Engineering, Automobile and Aerospace Engineering, and other closely related domains. Manufacturing professionals working in similar fields may also wish to read it as a refresher and to catch up on recent advances.
This book provides solution for challenges facing engineers in urban environments looking towards smart development and IoT. The authors address the challenges faced in developing smart applications along with the solutions. Topics addressed include reliability, security and financial issues in relation to all the smart and sustainable development solutions discussed. The solutions they provide are affordable, resistive to threats, and provide high reliability. The book pertains to researchers, academics, professionals, and students. Provides solutions to urban sustainable development problems facing engineers in developing and developed countries Discusses results with industrial problems and current issues in smart city development Includes solutions that are reliable, secure and financially sound
This book covers 3D printing activities by fused deposition modeling process. The two introductory chapters discuss the principle, types of machines and raw materials, process parameters, defects, design variations and simulation methods. Six chapters are devoted to experimental work related to process improvement, mechanical testing and characterization of the process, followed by three chapters on post-processing of 3D printed components and two chapters addressing sustainability concerns. Seven chapters discuss various applications including composites, external medical devices, drug delivery system, orthotic inserts, watertight components and 4D printing using FDM process. Finally, six chapters are dedicated to the study on modeling and optimization of FDM process using computational models, evolutionary algorithms, machine learning, metaheuristic approaches and optimization of layout and tool path.
This volume contains the proceedings of the 13th International Conference on Damage Assessment of Structures DAMAS 2019, 9-10 July 2019, Porto, Portugal. It presents the expertise of scientists and engineers in academia and industry in the field of damage assessment, structural health monitoring and non-destructive evaluation. The proceedings covers all research topics relevant to damage assessment of engineering structures and systems including numerical simulations, signal processing of sensor measurements and theoretical techniques as well as experimental case studies.
"Dr. Jayshree Pandya, " founder of Risk Group LLC (http: //www.riskgroupllc.com), is ahead of the curve in addressing the changing global fundamentals of the emerging Global Age. Global Age, and its changing global fundamentals has brought complex, chaotic, and turbulent times for every nation-where failures at all levels have come to become self-evident, repetitive, destructive, and potentially hopeless in nature and uncertainty. Nations are caught off guard. From what is visible across nations today, the promise of progress and prosperity for all nations does not seem to have materialized in a Global Age. Instead of progress and prosperity, what is visible today is crisis and catastrophe that is overpowering and overwhelming the capability of most nations to meet their promise of progress and prosperity. Nations are in crisis. This introductory book Global Age: NGIOA @ Risk addresses the global shifts and the changing global fundamentals of Global Age, to lay out much needed foundation of an integrated NGIOA risk governance framework for the coming tomorrow. This book will make a convincing case for the far-reaching need and understanding of global risk concepts, global risk fundamentals, and risk centric integrated NGIOA governance. The integrated NGIOA risk governance approach proposed and discussed in this initiative is rational, practical, and feasible. It will help create a dynamic, vibrant, and sustainable NGIOA economy of a Global Age. This initiative is a first step towards that. "
This book is the fourth volume in the series devoted to gear engineering and computer-aided design, production, testing and education. It comprises fundamental and applied research contributions by scientists and gear experts from all the world and covers recent developments and historical achievements in various spheres of mechanical engineering related to different kinds of gears, transmissions, and drive systems. It gathers contributions describing the advanced approaches to research, design, testing and production of practically all common and new kinds of gears for a vast number of advanced applications. Special attention is paid to issues of higher education in the field of gears. The book is intended as a tribute to professor Veniamin Goldfarb (1941-2019), one of the world-known leaders in the field of gear research, education and production, who contributed much to the active international cooperation of gear experts and to promotion of MMS science. The introductory chapter of this book relates his research to major developments in the field of mechanisms and machine science and outlines important contributions that he made within the period of 1964-2019.
This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them. An assembly line system is a manufacturing process in which parts are added in sequence from workstation to workstation until the final assembly is produced. In an assembly line balancing problem, tasks belonging to different product models are allocated to workstations according to their processing times and precedence relationships among tasks. It incorporates two features, uncertain task times, and demand volatility, separately and simultaneously, into the conventional assembly line balancing model. A real-life case study related to the mask production during the COVID-19 pandemic is presented to illustrate the application of the proposed framework and methodology. The book is intended for graduate students who are interested in combinatorial optimizations in manufacturing with uncertain input.
Non-Traditional and Advanced Machining Technologies covers the technologies, machine tools, and operations of non-traditional machining processes and assisted machining technologies. Two separate chapters deal with the machining techniques of difficult-to-cut materials, such as stainless, super alloys, ceramics, and composites. Design for machining, accuracy and surface integrity of machined parts, environment-friendly machine tools and operations, and hexapods are also presented. The topics covered throughout reflect the rapid and significant advances that have occurred in various areas in machining technologies and are organized and described in such a manner to draw the interest of the reader. The treatments are aimed at motiving and challenging the reader to explore viable solutions to a variety of questions regarding product design and optimum selection of machining operations for a given task. The book will be useful to professionals, students, and companies in the areas of industrial, manufacturing, mechanical, materials, and production engineering fields.
Proven statistical reliability analysis methods—available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Written by three leading innovators in the field, Statistical Reliability Engineering:
A solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.
The latest edition of this best-selling title is updated and
expanded for easier use by engineers. New to this edition is a
section on the fundamentals of surface production operations taking
up topics from the oilfield as originally planned by the authors in
the first edition. This information is necessary and endemic to
production and process engineers. Now, the book offers a truly
complete picture of surface production operations, from the
production stage to the process stage with applications to process
and production engineers.
Rules of Thumb for Maintenance and Reliability Engineers will give
the engineer the "have to have" information. It will help instill
knowledge on a daily basis, to do his or her job and to maintain
and assure reliable equipment to help reduce costs. This book will
be an easy reference for engineers and managers needing immediate
solutions to everyday problems. Most civil, mechanical, and
electrical engineers will face issues relating to maintenance and
reliability, at some point in their jobs. This will become their
"go to" book.
This book is an introduction to automotive engineering, to give freshmen ideas about this technology. The text is subdivided in parts that cover all facets of the automobile, including legal and economic aspects related to industry and products, product configuration and fabrication processes, historic evolution and future developments. The first part describes how motor vehicles were invented and evolved into the present product in more than 100 years of development. The purpose is not only to supply an historical perspective, but also to introduce and discuss the many solutions that were applied (and could be applied again) to solve the same basic problems of vehicle engineering. This part also briefly describes the evolution of automotive technologies and market, including production and development processes. The second part deals with the description and function analysis of all car subsystems, such as: . vehicle body, . chassis, including wheels, suspensions, brakes and steering mechanisms, . diesel and gasoline engines, . electric motors, batteries, fuel cells, hybrid propulsion systems, . driveline, including manual and automatic gearboxes. This part addresses also many non-technical issues that influence vehicle design and production, such as social and economic impact of vehicles, market, regulations, particularly on pollution and safety. In spite of the difficulty in forecasting the paths that will be taken by automotive technology, the third part tries to open a window on the future. It is not meant to make predictions that are likely to be wrong, but to discuss the trends of automotive research and innovation and to see the possible paths that may be taken to solve the many problems that are at present open or we can expect for the future. The book is completed by two appendices about the contribution of computers in designing cars, particularly the car body and outlining fundamentals of vehicle mechanics, including aerodynamics, longitudinal (acceleration and braking) and transversal (path control) motion.
Testing of materials and manufactured items is a key element in the process from standard specifications though control and verification during manufacture to trade in actual products. Cooperative agreements and networks are being set up covering reference materials and calibration. This process is becoming more urgent with the development in the European market and other international developments. This book presents international views on this fast changing field, with the main themes of: technical components of test quality; quality assurance in testing laboratories; laboratory accreditation and transnational recognition of test results.
Fresh concrete must be produced with the properties required for its intended applications, for example, it must be workable enough to flow into formwork, and to be compacted. This book deals with the measurement of the flow properties of fresh concrete and the factors which affect its workability. Aspects of concrete mixes and control of manufacture to produce optimum properties which relate to workability are covered.
This book is about how to develop future automotive products by applying the latest methodologies based on a systems engineering approach and by taking into account many issues facing the auto industry such as meeting government safety, emissions and fuel economy regulations, incorporating advances in new technology applications in structural materials, power trains, vehicle lighting systems, displays and telematics, and satisfying the very demanding customer. It is financially disastrous for any automotive company to create a vehicle that very few people want. To design an automotive product that will be successful in the marketplace requires carefully orchestrated teamwork of experts from many disciplines, substantial amount of resources, and application of proven techniques at the right time during the product development process. Automotive Product Development: A Systems Engineering Implementation is intended for company management personnel and graduate students in engineering, business management and other disciplines associated with the development of automotive and other complex products.
This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of: * Concept of randomness and its relationship to chaos * Uses and limitations of the binomial and Poisson distributions * Relationship of the chi-square method and Poisson curves * Derivations and applications of the exponential, Weibull, and lognormal models * Examination of the human mortality bathtub curve as a template for components Section II introduces the case study modeling of failure data and is followed by analyses of: * 5 sets of ideal Weibull, lognormal, and normal failure data * 83 sets of actual (real) failure data The intent of the modeling was to find the best descriptions of the failures using statistical life models, principally the Weibull, lognormal, and normal models, for characterizing the failure probability distributions of the times-, cycles-, and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests. This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems.
Post Normal Accident revisits Perrow's classic Normal Accident published in 1984 and provides additional insights to our sociological view of safety-critical organisations. The operating landscape of high-risk systems has indeed profoundly changed in the past 20 to 30 years but the core sociological models of safety remain associated with classics of the 1980s and 1990s. This book examines the conceptual and empirical evolutions of the past two to three decades to explore their implications for safety management based on several strands of works in various research traditions in safety (e.g. cognitive engineering and system safety, high-reliability organisation, sociology of safety, regulatory studies) and other interdisciplinary fields (e.g. international business, globalisation studies, strategy management, ecology). It offers a new and insightful interpretation to the challenges of today. It investigates how globalisation has reconfigured the operating landscape of high-risk systems and emphasises the importance of thinking safety through a strategic angle. This book serves as an ideal resource for the safety professionals and safety researchers from any established disciplines such as sociology, engineering, psychology, political science or management. Features: Introduces an original analysis of popular safety writings, including Normal Accident, by Perrow Identifies the importance of thinking safety from a sociological angle with the help of key writers Stresses the need for greater sensitivity to strategy and "errors from the top" when it comes to the safety of high-risk systems Explains how globalisation has reconfigured the operating landscape of high-risk systems Renews our understanding of the current safety management challenges in an increasingly global risk picture
This book introduces the methods for predicting the future behavior of a system's health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:* Prognostics tutorials using least-squares* Bayesian inference and parameter estimation* Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter* Data-driven prognostics algorithms including Gaussian process regression and neural network* Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.
Defects generate a great economic problem for suppliers who are faced with increased duties. Customers expect increased efficiency and dependability of technical product of - also growing - complexity. The authors give an introduction to a theory of dependability for engineers. The book may serve as a reference book as well, enhancing the knowledge of the specialists and giving a lot of theoretical background and practical information, especially on the dependability analysis of whole systems. The theory, concepts and approaches are well explained by examples and solutions. The topics include: Mathematical basis, Life span distributions, System dependability theory, Failure mode and effects analysis (FMEA), Fault tree analysis, Dependability test planning, Test evaluation, Calculation of repairable systems, Dependability protection programs.
This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chain transformation into bread. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the result of management decisions made by the wheat growers in response to government policy and industry strategy. Lately, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to make the HACCPs (Hazard Analysis and Critical Control Points) in food safety systems more robust.
Economic and Financial Analysis for Engineering and Project Management is for engineers and others who must analyze the financial and economic ramifications of producing and sustaining capital projects. Unlike other books in the field, it offers straightforward and lucid explanations of all main formulas needed to carry out financial analyses. The math is kept simple and is fully explained, making the book accessible to non-technical personnel. Numerous sample problems are provided, and can be worked on standard spreadsheet programs, as well as using interest rate tables. The book shows how to link quantitative data to management decisions and to standard reporting forms and has been designed for practicing engineers and students alike. Economic and Financial Analysis for Engineering and Project Management is a "must have" for graduate students in engineering management departments; graduate and undergraduates taking courses in project management, engineering economics, and engineering finance. Practicing engineers will find this book THE handy reference for any project involving financial analyses.
This book offers a collection of cutting-edge research on the Theory of Inventive Problem Solving (TRIZ). Introduced by Genrich Altshuller in 1956, TRIZ has since been used by engineers, inventors and creators as an essential structured innovation method at businesses and organizations around the globe. The chapters of this book showcase work by selected authors from the 'TRIZ Future' conferences, which are organized by the European TRIZ Association (ETRIA). The chapters reflect an international mix of new ideas on TRIZ and knowledge-based innovation, highlight recent advances in the TRIZ community, and provide examples of successful collaboration between industry and academia. The book first introduces the reader to recent methodological innovations, then provides an overview of established and new TRIZ tools, followed by a collection of case studies and examples of TRIZ implementation in various scientific and social contexts.
This book gathers contributions presented at the 10th Workshop on Cyclostationary Systems and Their Applications, held in Grodek nad Dunajcem, Poland in February 2017. It includes twelve interesting papers covering current topics related to both cyclostationary and general non stationary processes. Moreover, this book, which covers both theoretical and practical issues, offers a practice-oriented guide to the analysis of data sets with non-stationary behavior and a bridge between basic and applied research on nonstationary processes. It provides students, researchers and professionals with a timely guide on cyclostationary systems, nonstationary processes and relevant engineering applications.
This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution. The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes. The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries. |
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