What Every Engineer Should Know About Developing Plastics Products

Covers both established methods of manipulating plastics, and innovations newly or not yet in use, explaining such aspects as the physical properties of many new polymers, methods of purchasing tooling, secondary techniques, and suggestions on how to work with design engineers to produce plastic pro

You can find them in your wristwatch or MP3 player; they perform specific functions in washing machines, traffic lights, and even pacemakers. Embedded systems are pervasive, ubiquitous, and widespread throughout our daily lives. Developing these real-time embedded products requires an understanding of the interactions between different disciplines, such as circuit design, power, cooling, packaging, software, and human interface. This volume provides the knowledge and insight engineers need to make critical design decisions and offers a clear guide for preparing and developing projects in different markets. The book begins by laying the basic groundwork for effective processes, covering smaller, self-contained devices and subsystems, ranging from handheld devices to appliances. Highly detailed case studies, which include designing instruments for space flight, implanted medical devices, and military support equipment, illustrate industry best practices and managerial issues. Each case study is detailed in terms of concept, market, standards, integration, manufacturing, and phases. With schedule and estimation templates, this highly functional text presents numerous examples of design tradeoffs critical to successful project development. Offering even coverage and clarification of the entire development process, What Every Engineer Should Know about Developing Real-Time Embedded Products provides engineers and industrial designers with practical tools to make important decisions, from deciding whether to buy or build subsystems to determining the appropriate kinds of field testing.

This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.

Thanks to their education, experience, and general philosophical orientation, many engineers fail to notice critical issues in the workplace that can directly impact their career advancement and day-to-day job satisfaction. This text focuses on career management, and the accompanying importance of human and social interactions in the office. Although framed in the engineering environment, it provides observations on people skills relevant to all occupations. Using an informal, yet professional style, the author takes a mentorship approach by offering suggestions and anecdotes devoid of lecturing. Broken Into Two Distinct Parts Part I specifically addresses the life and career advancement of the engineer, beginning with school student and advancing to the seasoned professional. Along the way, it explores various stops, diversions, and alternatives, including a view of the corporation as a living organism with its own unique personality that responds to stimuli of the world. Part II discusses engineering projects, product development, schedules, budgets, and related topics. This portion of the book is not about project management, but rather the interaction of engineers and managers working on projects in a corporate environment.

Engineers must possess a range of business communication skills that enable them to effectively communicate the purpose and relevance of their idea, process, or technical design. This unique business communication text is packed with practical advice that will improve your ability to— Market ideas Write proposals Generate enthusiasm for research Deliver presentations Explain a design Organize a project team Coordinate meetings Create technical reports and specifications Focusing on the three critical communication needs of engineering professionals—speaking, writing, and listening—the book delineates critical communication strategies required in many group settings and work situations. It demonstrates how to integrate a marketing strategy into every facet of engineering communication, from presentations, visual aids, proposals, and technical reports to e-mail and phone calls. Using situational examples, the book also illustrates how to use computers, graphics, and other engineering tools to effectively communicate with other engineers and managers.

Finite element analysis (FEA) has become the dominant tool of analysis in many industrial fields of engineering, particularly in mechanical and aerospace engineering. This process requires significant computational work divided into several distinct phases. What Every Engineer Should Know About Computational Techniques of Finite Element Analysis offers a concise, self-contained treatment of FEA and all of the tools needed for efficient use and practical implementation. This book provides you with a walk-through of the process from the physical model to the computed solution. Based on the author's thirty years of practical experience in finite element analysis in the shipbuilding, aerospace, and automobile industries, it describes the transformation of the physical problem into a mathematical model, reduction of the model to a more efficient, numerically solvable form, and the solution of the problem using specific computational techniques. The author discusses time and frequency domain solutions as used in practice, as well as the representation of the computed results. What Every Engineer Should Know About Computational Techniques of Finite Element Analysis serves as a to-the-point guide to using or implementing FEA for both beginners and everyday users who must apply the finite element method to your daily work. The techniques can be easily executed in most available FEA software packages.

With the many software packages available today, it's easy to overlook the computational and graphics capabilities offered by Microsoft® ExcelTM. The software is nearly ubiquitous and understanding its capabilities is an enormous benefit to engineers in almost any field and at all levels of experience. What Every Engineer Should Know About Excel offers in nine self-contained chapters a practical guide to the features and functions that can be used, for example, to solve equations and systems of equations, build charts and graphs, create line drawings, and perform optimizations. The author uses examples and screenshots to walk you through the steps and build a strong understanding of the material. With this book, you will learn how to... Set up the keyboard for direct entry of most math and Greek symbols Build a default scatter graph that is applicable to most simple presentations with little cosmetic modification Apply many types of formats to adjust the cosmetics of graphs Use 3D surface and area charts for data and functional representations, with associated cosmetic adjustments Correlate data with various types of functional relations Use line drawing tools to construct simple schematics or other diagrams Solve linear and nonlinear sets of equations using multiple methods Curve student grades using Excel probability functions Model device performance using different types of regression analysis involving multiple variables Manipulate Excel financial functions Calculate retirement accumulation with variable contribution rate and retirement payouts to match increases in inflation Apply Excel methods for optimization problems with both linear and nonlinear relations Use pivot tables to manipulate both experimental data and analytical relationships Calculate experimental uncertainties using Excel And much more!