The book first looks to the past, covering the Apollo and Saturn legacies. In addition, former astronaut and U.S. Senator Harrison H. Schmitt discusses how to maintain deep space exploration and settlement. The book then discusses economic aspects, such as funding for lunar commerce, managing human resources, and commercial transportation logistics. After examining how cultural elements will fit into habitat design, the text explores the physiological, psychological, and ethical impact of living on a lunar settlement. It also describes the planning/technical requirements of lunar habitation, the design of both manned and modular lunar bases, and the protection of lunar habitats against meteoroids. Focusing on lunar soil mechanics, the book concludes with discussions on lunar concrete, terraforming, and using greenhouses for agricultural purposes.
Drawing from the lunar experiences of the six Apollo landing missions to the many American and Soviet robotic missions to current space activities and research, this volume summarizes the problems, prospects, and practicality of enduring lunar settlements. It reflects the key disciplines, including engineering, physics, architecture, psychology, biology, and anthropology, that will play significant roles in establishing these settlements.
Forgoing the extensive and in-depth analysis of randomness and control found in more specialized texts, this straightforward, easy-to-follow volume presents the format, content, and depth of description that the authors themselves would have found useful when they first learned the subject. The authors assume that the readers have a basic knowledge of dynamics, mechanics of materials, differential equations, and some knowledge of matrix algebra. Clarifying necessary mathematics, they present formulations and explanations to convey significant details.
The material is organized to afford great flexibility regarding course level, content, and usefulness in self-study for practicing engineers or as a text for graduate engineering students. This work includes example problems and explanatory figures, biographies of renowned contributors, and access to a website providing supplementary resources. These include an online MATLAB primer featuring original programs that can be used to solve complex problems and test solutions.
Space, whether we or our children live in it or on the Moon or Mars, will be important to all of us, not only to aerospace engineers and cosmologists, because of the new opportunities for freedom and limitless growth it offers. Our continued prosperity and survival as a species will in part depend upon space exploration and the resources it provides for our industrial societies and for the markets it will create. The expansion of Earth’s success in science and culture to the Moon, then Mars, and eventually the Solar System, can only strengthen mankind’s core positive achievements: democracy, individual rights and equal opportunities for all. The significant topic of returning to the Moon, this time to stay, is a central part of space exploration.
Concepts for lunar base structures have been proposed since long before the dawn of the space age. Suggestions made during the last 25 years are likely to form the pool from which eventual lunar base designs will evolve. Studies have intensified, both within NASA and outside national governments in industry and academe, since the days of the Apollo program, when it appeared likely that the Moon would become a second home to humans. Since then, science on the Moon, the economics of lunar development, and human physiology in space and on planetary bodies, as well as related policy issues have been studied as they are all needed to plant Man on the Moon in a sustainable and viable way.
Economics and politics will play a heavy if not deciding role in space and lunar settlement. The issues of pollution and related environmental matters, the question of ownership, and how these affect the investor communities, including governments, will be considered. Human exploration and colonization of the Moon and the planets appears far off but it is important to discuss the safeguarding of the integrity of these planetary bodies in advance of the economic development that will be explosive once it begins. For purposes of discussion, it will be assumed that by the year 2050 there will be a well-developed human colony of many hundreds of people on the Moon, created by several democratic Earth governments in partnership with numerous industrial concerns. Its purpose will be to learn survival on a non-terrestrial body naturally hostile to human life and to explore and use the resources of the Moon, leading eventually to self-sufficient large lunar cities that will survive economically by exporting lunar minerals and finished products to Earth, and by servicing transportation, both commercial and military, between Earth and emerging settlements on Mars, its moons, as well as early mining activity on the asteroids and the moons of the gas giants of the outer solar system.
Today manufacturers need kaizen’s continuous productivity improvement and waste reduction techniques more than ever. Kaizen and Kaizen Event Implementation provides specific, detailed solutions that have proven successful in real manufacturing environments.
Ortiz, author of the best-selling Lessons from a Lean Consultant, covers every element of a successful kaizen program and offers techniques for implementing several key kaizen events. Drawing on his unsurpassed, in-the-trenches experience, he shares powerful insights into changing cultures, gaining management buy-in, training, reporting, follow-up, and much more. Whether you’re a plant manager, director, engineer, or quality specialist, this book will help you make kaizen work.
Avoid common implementation mistakes Find the right champion and establish an effective steering committee Create timelines, select teams and leaders, and define objectives Use kaizen events to implement 5S, standard work, Kanban, and new line designs Includes a chapter-length case study from a real manufacturing firm
The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces.
The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
“This book should be an essential part of the personal library of every practicing statistician.”—Technometrics
Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation.
Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features:The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.
If you ever regretted not taking physics in college--or simply want to know how to think like a physicist--this is the book for you. In this bestselling introduction, physicist Leonard Susskind and hacker-scientist George Hrabovsky offer a first course in physics and associated math for the ardent amateur. Challenging, lucid, and concise, The Theoretical Minimum provides a tool kit for amateur scientists to learn physics at their own pace.
Design for Six Sigma (DFSS) offers engineers powerful opportunities to develop more successful systems, software, hardware, and processes. In Applying Design for Six Sigma to Software and Hardware Systems , two leading experts offer a realistic, step-by-step process for succeeding with DFSS. Their clear, start-to-finish roadmap is designed for successfully developing complex high-technology products and systems that require both software and hardware development.
Drawing on their unsurpassed experience leading Six Sigma at Motorola, the authors cover the entire project lifecycle, from business case through scheduling, customer-driven requirements gathering through execution. They provide real-world examples for applying their techniques to software alone, hardware alone, and systems composed of both. Product developers will find proven job aids and specific guidance about what teams and team members need to do at every stage.
Using this book’s integrated, systems approach, marketers, software professionals, and hardware developers can converge all their efforts on what really matters: addressing the customer’s true needs.
Learn how toEnsure that your entire team shares a solid understanding of customer needs Define measurable critical parameters that reflect customer requirements Thoroughly assess business case risk and opportunity in the context of product roadmaps and portfolios Prioritize development decisions and scheduling in the face of resource constraints Flow critical parameters down to quantifiable, verifiable requirements for every sub-process, subsystem, and component Use predictive engineering and advanced optimization to build products that robustly handle variations in manufacturing and usage Verify system capabilities and reliability based on pilots or early production samples Master new statistical techniques for ensuring that supply chains deliver on time, with minimal inventory Choose the right DFSS tools, using the authors’ step-by-step flowchart
If you’re an engineer involved in developing any new technology solution, this book will help you reflect the real Voice of the Customer, achieve better results faster, and eliminate fingerpointing.
About the Web Site The accompanying Web site, sigmaexperts.com/dfss, provides an interactive DFSS flowchart, templates, exercises, examples, and tools.
Now updated with 30% new material, Roark Formulas for Stress and Strain, Seventh Edition, is the ultimate resource for designers, engineers, and analysts who need to calculate loads and stress. This landmark reference from Warren Young and Richard Budynas provides you with equations and diagrams of structural properties in an easy-to-use, thumb-through format. Updated, with a user-friendly page layout, this new edition includes expanded coverage of joints, bearing and shear stress, experimental stress analysis, and stress concentrations, as well as material behavior coverage and stress and strain measurement. You’ll also find expanded tables and cases; improved notations and figures in the tables; consistent table and equation numbering; and verification of correction factors.
In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.
Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and Hadoop
Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
First published in 1971, Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This Fourth Edition features coverage of new developments in random data management and analysis procedures that are applicable to a broad range of applied fields, from the aerospace and automotive industries to oceanographic and biomedical research.
This new edition continues to maintain a balance of classic theory and novel techniques. The authors expand on the treatment of random data analysis theory, including derivations of key relationships in probability and random process theory. The book remains unique in its practical treatment of nonstationary data analysis and nonlinear system analysis, presenting the latest techniques on modern data acquisition, storage, conversion, and qualification of random data prior to its digital analysis. The Fourth Edition also includes:A new chapter on frequency domain techniques to model and identify nonlinear systems from measured input/output random data New material on the analysis of multiple-input/single-output linear models The latest recommended methods for data acquisition and processing of random data Important mathematical formulas to design experiments and evaluate results of random data analysis and measurement procedures Answers to the problem in each chapter
Comprehensive and self-contained, Random Data, Fourth Edition is an indispensible book for courses on random data analysis theory and applications at the upper-undergraduate and graduate level. It is also an insightful reference for engineers and scientists who use statistical methods to investigate and solve problems with dynamic data.
Since it was first published almost a decade ago, Seth Godin's visionary book has helped tens of thousands of leaders turn a scattering of followers into a loyal tribe. If you need to rally fellow employees, customers, investors, believers, hobbyists, or readers around an idea, this book will demystify the process.
It's human nature to seek out tribes, be they religious, ethnic, economic, political, or even musical (think of the Deadheads). Now the Internet has eliminated the barriers of geography, cost, and time. Social media gives anyone who wants to make a difference the tools to do so.
With his signature wit and storytelling flair, Godin presents the three steps to building a tribe: the desire to change things, the ability to connect a tribe, and the willingness to lead.
If you think leadership is for other people, think again—leaders come in surprising packages. Consider Joel Spolsky and his international tribe of scary-smart software engineers. Or Gary Vaynerhuck, a wine expert with a devoted following of enthusiasts. Chris Sharma led a tribe of rock climbers up impossible cliff faces, while Mich Mathews, a VP at Microsoft, ran her internal tribe of marketers from her cube in Seattle.
Tribes will make you think—really think—about the opportunities to mobilize an audience that are already at your fingertips. It's not easy, but it's easier than you think.
Reliability engineers need practical orientation around the complex procedures involved in failure analysis. This guide acts as a tool for all advanced techniques, their benefits and vital aspects of their use in a reliability programme. Using twelve complex case studies, the authors explain why failure analysis should be used with electronic components, when implementation is appropriate and methods for its successful use.
Inside you will find detailed coverage on:a synergistic approach to failure modes and mechanisms, along with reliability physics and the failure analysis of materials, emphasizing the vital importance of cooperation between a product development team involved the reasons why failure analysis is an important tool for improving yield and reliability by corrective actions the design stage, highlighting the ‘concurrent engineering' approach and DfR (Design for Reliability) failure analysis during fabrication, covering reliability monitoring, process monitors and package reliability reliability resting after fabrication, including reliability assessment at this stage and corrective actions a large variety of methods, such as electrical methods, thermal methods, optical methods, electron microscopy, mechanical methods, X-Ray methods, spectroscopic, acoustical, and laser methods new challenges in reliability testing, such as its use in microsystems and nanostructures
This practical yet comprehensive reference is useful for manufacturers and engineers involved in the design, fabrication and testing of electronic components, devices, ICs and electronic systems, as well as for users of components in complex systems wanting to discover the roots of the reliability flaws for their products.
The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues.
The result reaches beyond "nice" mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry.
When it comes to receiving documentation to confirm good science, U.S. and international regulators place high demands on the healthcare industry. As a result, companies developing and manufacturing therapeutic products must implement a strategy that allows them to properly manage their records and documents, since they must comply with rigorous standards and be available for regulatory review or inspection at a moment’s notice.
Written in a user-friendly Q&A style for quick reference, Managing the Documentation Maze provides answers to 750 questions the authors encounter frequently in their roles as consultants and trainers. In simple terms, this handy guide breaks down the key components that facilitate successful document management, and shows why it needs to be a core discipline in the industry with information on:Compliance with regulations in pharmaceutical, biological, and device record keeping Electronic systems, hybrid systems, and the entire scope of documentation that companies must manage How to write and edit documents that meet regulatory compliance Making the transition to an electronic system, including how to validate and document the process
Anyone responsible for managing documents in the health field will find this book to be a trusted partner in unraveling the bureaucratic web of confusion, while it initiates a plan on how to put an effective, lasting system in place—one that will stand up to any type of scrutiny.
The Mechanical Engineering Reference Manual is the most comprehensive textbook for the Mechanical PE exam. This book's time-tested organization and clear explanations start with the basics to help you quickly get up to speed on common mechanical engineering concepts. Together, the 76 chapters provide an in-depth review of NCEES Mechanical PE exam topics. The extensive index contains thousands of terms, most indexed in a variety of ways, in anticipation of how you'll search for them.
Features of the Mechanical Engineering Reference Manual: • over 120 appendices containing essential support material • over 375 clarifying example problems • thousands of equations, figures, and tables • industry-standard terminology and nomenclature • equal support of U.S. customary and SI units
After you pass your exam, the Mechanical Engineering Reference Manual will continue to serve as an invaluable reference throughout your mechanical engineering career.
Topics Covered: • Dynamics and Vibrations: Kinematics; Kinetics; Power Transmission Systems; Vibrating Systems • Materials: Engineering Materials Properties and Testing; Thermal Treatment of Metals • Fluids: Fluid Properties; Fluid Statics; Fluid Flow Parameters; Fluid Dynamics; Hydraulic Machines • Power Cycles: Vapor, Combustion, and Nuclear Power Cycles; Refrigeration and Gas Compression Cycles • HVAC: Psychrometrics; Fans, Ductwork, and Ventilation; Heating and Cooling Loads; Air Conditioning Systems • Heat Transfer: Natural Convection; Evaporation; Condensation; Forced Convection; Radiation • Machine Design: Basic and Advanced Machine Design; Pressure Vessels • Thermodynamics: Inorganic Chemistry; Fuels and Combustion; Properties of Substances • Control Systems: Modeling and Analysis of Engineering Systems • Plant Engineering: Manufacturing Processes; Instrumentation and Measurements; Materials Handling and Processing; Fire Protection Systems; Environmental Pollutants and Remediation; Hazardous Material Storage and Disposal • Fundamentals: Math Review; Probability; Statics; Engineering Economic Analysis • Law and Ethics: Engineering Law; Ethics
What's New in This Edition: • 36 chapters with new material, and 46 chapters with revisions to existing material • 300 new equations, and 128 updated equations • 27 new tables, and 31 updated tables • 7 new examples, and 34 updated examples • 10 new appendices, and 27 updated appendices • 35 new figures, and 28 updated figures • 1,094 new index entries, and 108 updated index entries
Dry gas seals are in used in compressor stations, processing plants, refineries, chemical plants, and more. This book is perfectly suited for:
The information found in Dry Gas Seals Handbook will help you make informed decisions regarding the application, operation, and maintenance of dry gas seals. This book presents a complete guide to the technology, from the principle of gas seal operation to "lessons learned" from actual field experience.
Key features & benefits:
• More than 50 figures to illustrate explanations
• Seven case studies break down common problems associated with dry gas seals, corrective actions, and lessons learned
• Appendices provide typical examples of dry gas seal test reports and dry gas seal and barrier seal selection guidelines
• Glossary of common terms related to dry gas seal technology
Illustrating turbomachinery, vibration severity levels, condition monitoring, and rotor vibration cause identification, Rotating Machinery Vibration
Provides a primer on vibration fundamentals
Highlights calculation of rotor unbalance response and rotor self-excited vibration
Demonstrates calculation of rotor balancing weights
Furnishes PC codes for lateral rotor vibration analyses
Treats bearing, seal, impeller, and blade effects on rotor vibration
Describes modes, excitation, and stability of computer models
Includes extensive PC data coefficient files on bearing dynamics
Providing comprehensive descriptions of vibration symptoms for rotor unbalance, dynamic instability, rotor-stator rubs, misalignment, loose parts, cracked shafts, and rub-induced thermal bows, Rotating Machinery Vibration is an essential reference for mechanical, chemical, design, manufacturing, materials, aerospace, and reliability engineers; and specialists in vibration, rotating machinery, and turbomachinery; and an ideal text for upper-level undergraduate and graduate students in these disciplines.
The prediction of failures involves uncertainty, and problems associated with failures are inherently probabilistic. Their solution requires optimal tools to analyze strength of evidence and understand failure events and processes to gauge confidence in a design’s reliability.
Reliability Engineering and Risk Analysis: A Practical Guide, Second Edition has already introduced a generation of engineers to the practical methods and techniques used in reliability and risk studies applicable to numerous disciplines. Written for both practicing professionals and engineering students, this comprehensive overview of reliability and risk analysis techniques has been fully updated, expanded, and revised to meet current needs. It concentrates on reliability analysis of complex systems and their components and also presents basic risk analysis techniques. Since reliability analysis is a multi-disciplinary subject, the scope of this book applies to most engineering disciplines, and its content is primarily based on the materials used in undergraduate and graduate-level courses at the University of Maryland. This book has greatly benefited from its authors' industrial experience. It balances a mixture of basic theory and applications and presents a large number of examples to illustrate various technical subjects. A proven educational tool, this bestselling classic will serve anyone working on real-life failure analysis and prediction problems.
Real Options in Engineering Design, Operations, and Management presents and synthesizes the body of knowledge in the area of real options for engineering systems. Providing case studies and step-by-step computations of real options valuation, it covers engineering applications across different disciplines such as industrial and civil engineering, and computer science. The authors review financial-option research results, consider how to quantify engineering activities, and analyze optimal business strategies based on a variety of real option models. They integrate academic work on real options in engineering, current practice, and discussion of future needs and opportunities.
Flexibility in decision making allows firms to compete more effectively in a world of substantial price and demand uncertainty, product variety, short product life cycles, and rapid product development. And with more frequent demands being placed on engineering systems to change, managers and manufacturing systems must react to events as they unfold. This book explores a real options modeling framework for engineering transitions that allows decision makers to capture and investigate several alternatives for improving an engineering system.
Basic Gambling Mathematics: The Numbers Behind the Neon explains the mathematics involved in analyzing games of chance, including casino games, horse racing, and lotteries. The book helps readers understand the mathematical reasons why some gambling games are better for the player than others. It is also suitable as a textbook for an introductory course on probability.
Along with discussing the mathematics of well-known casino games, the author examines game variations that have been proposed or used in actual casinos. Numerous examples illustrate the mathematical ideas in a range of casino games while end-of-chapter exercises go beyond routine calculations to give readers hands-on experience with casino-related computations.
The book begins with a brief historical introduction and mathematical preliminaries before developing the essential results and applications of elementary probability, including the important idea of mathematical expectation. The author then addresses probability questions arising from a variety of games, including roulette, craps, baccarat, blackjack, Caribbean stud poker, Royal Roulette, and sic bo. The final chapter explores the mathematics behind "get rich quick" schemes, such as the martingale and the Iron Cross, and shows how simple mathematics uncovers the flaws in these systems.
Drawing on physics and mechanical engineering, Steven Vogel looks at how animals swim and fly, modes of terrestrial locomotion, organism responses to winds and water currents, circulatory and suspension-feeding systems, and the relationship between size and mechanical design. He also investigates links between the properties of biological materials--such as spider silk, jellyfish jelly, and muscle--and their structural and functional roles. Early chapters and appendices introduce relevant physical variables for quantification, and problem sets are provided at the end of each chapter. Comparative Biomechanics is useful for physical scientists and engineers seeking a guide to state-of-the-art biomechanics. For a wider audience, the textbook establishes the basic biological context for applied areas--including ergonomics, orthopedics, mechanical prosthetics, kinesiology, sports medicine, and biomimetics--and provides materials for exhibit designers at science museums.Problem sets at the ends of chapters Appendices cover basic background information Updated and expanded documentation and materials Revised figures and text Increased coverage of friction, viscoelastic materials, surface tension, diverse modes of locomotion, and biomimetics
Quality Function Deployment (QFD) techniques have helped thousands of organizations deliver higher-quality, more user-focused product designs. Now, Lou Cohen’s classic guide to QFD has been thoroughly updated to fully align QFD with Design for Six Sigma (DFSS) and other state-of-the-art Six Sigma methodologies.
Revised by world-class Six Sigma expert Joe Ficalora and his team at Sigma Breakthrough Technologies, this new edition’s up-to-date perspective on QFD reflects dozens of successful Six Sigma and DFSS deployments. They offer a start-to-finish methodology for implementing QFD, and systematically illuminate powerful linkages between QFD and Six Sigma, DFSS, Marketing for Six Sigma (MFSS), and Technology for Six Sigma (TFSS). An expanded, start-to-finish case study demonstrates how QFD should function from all angles, from design and marketing to technology and service.
Learn how to
Identify the roles and advantages of QFD in today’s global business environment Understand every element of the House of Quality (HOQ) Use QFD to drive more competitive product and service development Move from the processes you have to the processes you want Anticipate QFD’s unique challenges, overcome its obstacles, and deploy it successfully Extend the HOQ concept all the way through project completion Deploy powerful Voice of the Customer (VOC) techniques throughout all phases of development, not just planning Adapt QFD for software development, service development, and organizational planning Whether you’re working in operations, engineering, marketing, technology, or service development, this book will help you drive maximum value from all your Six Sigma, QFD, VOC, and DFSS investments.
Combining leading research from both academia and industry onto a single platform, Energy Harvesting Technologies serves as an important reference for researchers and engineers involved with power sources, sensor networks and smart materials.
Reliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty. Probability theory, statistic methods, and reliability analysis methods including Monte Carlo Sampling, Latin hypercube sampling, first and second-Order reliability methods, stochastic finite element method, and stochastic optimization are discussed. In addition, the use of stochastic expansions, including polynomial chaos expansion and Karhunen-Loeve expansion, for the reliability analysis of practical engineering problems is also examined. Detailed examples of practical engineering applications including an uninhabited joined-wing aircraft and a supercavitating torpedo are presented to illustrate the effectiveness of these methods.
Reliability-based Structural Design will be a valuable reference for graduate and post graduate students studying structural reliability, probabilistic analysis and optimization under uncertainty; as well as engineers, researchers, and technical managers who are concerned with theoretical fundamentals, computational implementations and applications for probabilistic analysis and design.
Helps Students Better Understand Numerical Methods through Use of MATLAB®
The authors uniquely emphasize both theoretical numerical analysis and practical implementation of the algorithms in MATLAB, making the book useful for students in computational science and engineering. They provide students with simple, clear implementations instead of sophisticated usages of MATLAB functions.
All the Material Needed for a Numerical Analysis Course
Based on the authors’ own courses, the text only requires some knowledge of computer programming, advanced calculus, and difference equations. It includes practical examples, exercises, references, and problems, along with a solutions manual for qualifying instructors. Students can download MATLAB code from www.crcpress.com, enabling them to easily modify or improve the codes to solve their own problems.
Development of a new product requires the product development team to address many complex customer requirements during the commercialization process. Consider a situation in which a new product being developed must meet specified upper and lower specification limits based on Voice of the Customer interviews. The design team must model and understand the sources of potential variation in the new product that need to be monitored and controlled if the product is to meet the identified customer needs. The process of analyzing component variation and designing a final product that meets customer tolerance requirements is known as statistical tolerancing.
In this Short Cut, various Design for Six Sigma techniques for determining the impact of multiple sources of variation on a final product are examined in detail. A procedure is described for using representative models for individual product components to estimate the expected overall level of variation in the performance of a final product.
Three methods of tolerance analysis are presented and the merits of each are discussed: Worst Case Analysis, Root Sum of Squares Analysis, and Six Sigma Tolerance Analysis. A detailed case study example, involving multiple sources of variation, is employed to illustrate the application of these methods. Minitab® is used to identify the best-fitting distributions from data sets for individual components. Monte Carlo Simulation with Crystal Ball® is then employed to determine the most important individual sources of variation and the overall variation of the final product. Finally, Crystal Ball's OptQuest® optimization feature is utilized to determine the required design value for each key parameter to meet final customer requirements.
What This Short Cut Covers
Worst Case Analysis
Root Sum of Squares Analysis
Six Sigma Tolerance Analysis
What's in the Book Commercializing Great Products with Design for Six Sigma
About the Authors
The first chapter is an introduction which starts with explaining in general terms, what seabed seismic is and gives its advantages over conventional marine seismic methods. Specific experiences or implementation of seabed seismic methods in some oil fields are given. In chapter 2, some basic signal properties are given, the PS converted wave process explained and the common conversion point (CCP) approximation formula derived. Basic acquisition techniques of seabed seismic are treated, including topics like sensor orientation, CCP binning and shear wave splitting. P-wave to S-wave velocity ratio (Gamma) is explained. The fundamentals of QC and processing of seabed seismic data are treated in Chapter 3 where two model processing work-flows are showcased to explain the fundamental processing keys for a multicomponent seismic data. The improvement in seabed seismic technology has not been without hurdles. Some of the challenges facing this technology are treated in Chapter 4.
Helping you overcome these hurdles, Hydraulic Power System Analysis demonstrates modern computer-aided analytical techniques used to model nonlinear, dynamic fluid power systems. Following an overview of fluid power, the authors examine various relevant fluid properties, energy calculations, and steady state and dynamic analysis along with a review of automatic control theory. Turning to modeling, the next few chapters address valves and motors and then apply dynamic modeling to examples relating to pumps, hydrostatic transmissions, and valves. The book includes a unique chapter showing how to combine flow resistance equations with the differential equations governing dynamic system performance. The final chapter translates electrical circuit theory concepts to noise attenuation in fluid power systems.
Illustrated with many equations, practical computer modeling examples, and exercises, Hydraulic Power System Analysis provides a much-needed modernization of dynamic modeling for fluid power systems using powerful computational tools.
About the authors . . .
D. M. PIRRO is the Equipment Builder and OEM Manager, ExxonMobil Corporation, Fairfax, Virginia. The author or contributing editor of several scholarly articles on synthetic lubes, environmental awareness applications, grease technology, lubricant interchangeability, and oil analysis, Mr. Pirro is a Certified Lubrication Specialist and a member of the Society of Tribologists and Lubrication Engineers and the Association of Manufacturing Technology. He received the B.S. degree (1978) in mechanical engineering and the B.A. degree (1978) in business administration from Rutgers University, New Brunswick, New Jersey.
A. A. WESSOL is a part-time Lubrication Consultant for the ExxonMobil Corporation in Manassas, Virginia. Mr. Wessol retired from the Mobil Corporation after 24 years in various advanced technical positions. The author or coauthor of numerous professional papers on the environmental aspects of lubrication, plant engineering, hydraulics, and pneumatics, he received the B.S. degree (1972) in mathematics, physics, and chemistry from the University of Pittsburgh, Pennsylvania.
All mechanical equipment in motion generates a vibration profile, or signature, that reflects its operating condition. This is true regardless of speed or whether the mode of operation is rotation, reciprocation, or linear motion. There are several predictive maintenance techniques used to monitor and analyze critical machines, equipment, and systems in a typical plant. These include vibration analysis, ultrasonics, thermography, tribology, process monitoring, visual inspection, and other nondestructive analysis techniques. Of these techniques, vibration analysis is the dominant predictive maintenance technique used with maintenance management programs, and this book explains the basic theory, applications, and benefits in one easy-to-absorb volume that plant staff will find invaluable.
This is the second book in a new series published by Butterworth-Heinemann in association with PLANT ENGINEERING magazine. PLANT ENGINEERING fills a unique information need for the men and women who operate and maintain industrial plants. It bridges the information gap between engineering education and practical application. As technology advances at increasingly faster rates, this information service is becoming more and more important. Since its first issue in 1947, PLANT ENGINEERING has stood as the leading problem-solving information source for America's industrial plant engineers, and this book series will effectively contribute to that resource and reputation.Provides information essential to industrial troubleshooting investigationsDescribes root-cause failure analysisIncorporates detailed equipment-design guidelines
New York Times Bestseller
“Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be one of the more momentous books of the decade.”
—New York Times Book Review
"Nate Silver's The Signal and the Noise is The Soul of a New Machine for the 21st century."
—Rachel Maddow, author of Drift
"A serious treatise about the craft of prediction—without academic mathematics—cheerily aimed at lay readers. Silver's coverage is polymathic, ranging from poker and earthquakes to climate change and terrorism."
—New York Review of Books
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight.
Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.
In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science.
Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.
With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.
Finite Element Modeling and Simulation with ANSYS Workbench combines finite element theory with real-world practice. Providing an introduction to finite element modeling and analysis for those with no prior experience, and written by authors with a combined experience of 30 years teaching the subject, this text presents FEM formulations integrated with relevant hands-on applications using ANSYS Workbench for finite element analysis (FEA). Incorporating the basic theories of FEA and the use of ANSYS Workbench in the modeling and simulation of engineering problems, the book also establishes the FEM method as a powerful numerical tool in engineering design and analysis.
Include FEA in Your Design and Analysis of Structures Using ANSYS Workbench
The authors reveal the basic concepts in FEA using simple mechanics problems as examples, and provide a clear understanding of FEA principles, element behaviors, and solution procedures. They emphasize correct usage of FEA software, and techniques in FEA modeling and simulation. The material in the book discusses one-dimensional bar and beam elements, two-dimensional plane stress and plane strain elements, plate and shell elements, and three-dimensional solid elements in the analyses of structural stresses, vibrations and dynamics, thermal responses, fluid flows, optimizations, and failures. Contained in 12 chapters, the text introduces ANSYS Workbench through detailed examples and hands-on case studies, and includes homework problems and projects using ANSYS Workbench software that are provided at the end of each chapter.Covers solid mechanics and thermal/fluid FEA Contains ANSYS Workbench geometry input files for examples and case studies Includes two chapters devoted to modeling and solution techniques, design optimization, fatigue, and buckling failure analysis Provides modeling tips in case studies to provide readers an immediate opportunity to apply the skills they learn in a problem-solving context
Finite Element Modeling and Simulation with ANSYS Workbench benefits upper-level undergraduate students in all engineering disciplines, as well as researchers and practicing engineers who use the finite element method to analyze structures.
The coverage of the book includes 13 topics relevant to classical mechanics, such as integration of one-dimensional equations of motion; the Hamiltonian equations of motion; and adiabatic invariants.
The book will be of great use to physics students studying classical mechanics.
Solutions to most principal network reliability problems—including medium-sized computer networks—are presented in the form of efficient Monte Carlo algorithms and illustrated with numerical examples and tables. Written by reliability experts with significant teaching experience, this reader-friendly text is an excellent resource for software engineering, operations research, industrial engineering, and reliability engineering students, researchers, and engineers.
Stressing intuitive explanations and providing detailed proofs of difficult statements, this self-contained resource includes a wealth of end-of-chapter exercises, numerical examples, tables, and offers a solutions manual—making it ideal for self-study and practical use.
Taking the bang-whiz-thud approach, Denny first talks about internal ballistics—Bang!—from before gunpowder to the development of modern firearms. External ballistics—Whiz!—are next, with discussions about short- and long-range trajectories. Denny’s lesson ends with a Thud!—an explanation of terminal ballistics.
Throughout, Denny conveys applicable physics principles in a way that will appeal to technology buffs and ballistics enthusiasts alike. His fun and factual explanations are free of complicated equations; notes cover the key aspects of ballistics physics for the more technically inclined.
Denny has perfected this engaging balance of science and story. For study or hobby, Their Arrows Will Darken the Sun is an entertaining guide to the world of ballistics.
Dynamics of Mechanical Systems provides a vehicle for mastering all of this. Focusing on the fundamental procedures behind dynamic analyses, the authors take a vector-oriented approach and lead readers methodically from simple concepts and systems through the analysis of complex robotic and bio-systems. A careful presentation that balances theory, methods, and applications gives readers a working knowledge of configuration graphs, Euler parameters, partial velocities and partial angular velocities, generalized speeds and forces, lower body arrays, and Kane's equations.
Evolving from more than three decades of teaching upper-level engineering courses, Dynamics of Mechanical Systems enables readers to obtain and refine skills ranging from the ability to perform insightful hand analyses to developing algorithms for numerical/computer analyses. Ultimately, it prepares them to solve real-world problems and make future advances in mechanisms, manipulators, and robotics.
Chapter 1 of this book deals with the extraordinary physico-chemical properties of the water molecule while Chapter 2 provides insight on theories regarding the origin of water on Earth. In the third chapter, the author focuses on the chemical composition of the main water reservoirs of our planet. Chapters 4 and 5 discuss water’s relationship with plate tectonics and life, respectively. The sixth and final chapter uses stable isotope tracking to look into the water cycle and past climates.
1. Water: A Molecule Endowed with Extraordinary Physicochemical Properties.
2. Theories about the Origin of Water on Earth.
3. The Main Water Reservoirs on Earth and their Chemical Composition.
4. Water and Plate Tectonics.
5. Water and Life.
6. Stable Isotope Tracking: Water Cycles and Climates of the Past.
The presence of water on Earth is discussed on the basis of the various theories about its origin such as a massive degassing of the primitive parent bodies that built our planet as well as a late addition from comets that collided with its surface. The extraordinary physico-chemical properties of the water molecule combined with its abundance and distribution over the Earth’s surface have contributed to regulating the global climate and favoring the evolution of species for more than 4 billion years. The early emergence of life in the deep ocean and its further diversification were closely linked to the global water cycle whose dynamics result from the energy balance between solar radiation and the internal heat flux of the Earth.