This book offers a comprehensive survey of computer methods for engineers that know the importance of the future applications of these techniques but can not understand them. Typically, design and production engineers can find books for specialists but they need one that helps them to understand the mystic world of advanced computer aided engineering activitites. This book is intended to fill this gap. Mechanical engineers will find basic theory and the value of competitive computer-aided engineering methods in the proposed book. The book will be written in a style free of computer specialists' jargon. The topic of the book is computer methodology for engineers, including conceptual design, detailed design, styling, modeling, analysis, simulation, manufacturing planning, 3D graphic visualization. The aspect is of the engineer who is in dialog connection with computer procedures and is working in a human-computer system where a group of engineers collaborates using an advanced concurrent engineering environment.The book will include chapters on: computing for engineering; computer representation; computing methods: creating computer representations; application of computer representations; engineering activities in the global computer environment; and opinions of some potentials. The audience for this book consists of engineers, who must be familiar with computer methods and should be able to apply them in their work, as well as students who are not involved in computer-related courses but need an understanding of the world of computer-aided engineering to solve engineering tasks. Potential readers may be any individuals who need to understand computer-aided engineering methods, especially engineering modeling.*Written by engineering professors who are also IT professionals, this book marries two points-of-view to provide a unique perspective*Covers the full spectrum of computer-aided engineering, from mathematics to graphics*Written purposefully in languge that is IT jargon-free, so that engineers will not get lost in tangled acronyms

Summary: "Today, the majority of engineers in many varied fields must utilize CAD/CAM systems in their work, but due to the increasing number and sophistication of programs and methods available, no one engineer can possibly be an expert in all of them. This book will help, by offering a detailed and comprehensive survey of all the leading computer-aided engineering methods, effectively providing a map to this sometimes confusing world. It is especially written for design and production engineers practicing in the modern industrial environment, where design, analysis, manufacturing planning, production planning and computer controlled equipment programming are all governed by CAD/CAM systems. The authors, who are engineering professors as well as IT professionals, clearly explain concepts, approaches, principles, and practical methods in purposefully IT-jargon free language, so that engineers will not get lost in a tangle of acronyms. It profides basic theoretical background and examines the relative value of various competitive computer-aided engineering methods, so that engineers will feel confident in making design tool choices, without having to become specialists in the development issues surrounding each system"--Back cover.

Whatever their discipline, engineers are routinely called upon to develop solutions to all kinds of problems. To do so effectively, they need a systematic and disciplined approach that considers a range of alternatives, taking into account all relevant factors, before selecting the best solution. In Problem Solving for Engineers, David Carmichael demonstrates just such an approach involving problem definition, generation of alternative solutions, and, ultimately, the analysis and selection of a preferred solution. David Carmichael introduces the fundamental concepts needed to think systematically and undertake methodical problem solving. He argues that the most rational way to develop a framework for problem solving is by using a systems studies viewpoint. He then outlines systems methodology, modeling, and the various configurations for analysis, synthesis, and investigation. Building on this, the book details a systematic process for problem solving and demonstrates how problem solving and decision making lie within a systems synthesis configuration. Carefully designed as a self-learning resource, the book contains exercises throughout that reinforce the material and encourage readers to think and apply the concepts. It covers decision making in the presence of uncertainty and multiple criteria, including that involving sustainability with its blend of economic, social, and environmental considerations. It also characterizes and tackles the specific problem solving of management, planning, and design. The book provides, for the first time, a rational framework for problem solving with an engineering orientation.

Presented here are 130 refereed papers given at the 36th MATADOR Conference held at The University of Manchester in July 2010. The MATADOR series of conferences covers the topics of Manufacturing Automation and Systems Technology, Applications, Design, Organisation and Management, and Research. The proceedings of this Conference contain original papers contributed by researchers from many countries on different continents. The papers cover the principles, techniques and applications in aerospace, automotive, biomedical, energy, consumable goods and process industries. The papers in this volume reflect: • the importance of manufacturing to international wealth creation; • the emerging fields of micro- and nano-manufacture; • the increasing trend towards the fabrication of parts using lasers; • the growing demand for precision engineering and part inspection techniques; and • the changing trends in manufacturing within a global environment.

The critical step in the use of mathematics for solving real world problems is the building of a suitable mathematical model. This book advocates a novel approach to the teaching of the building process for mathematical models, with emphasis on the art as well as the science aspects. Using a case study approach, the book teaches the mathematical modelling process in a comprehensive framework, presenting an overview of the concepts and techniques needed for modelling. The book is structured in three parts; the first dealing with the science aspect; the second dealing with the art aspects; and the third combining self learning exercises for the student and supplementary resource material for the instructor.

Thinking: A Guide to Systems Engineering Problem-Solving focuses upon articulating ways of thinking in today’s world of systems and systems engineering. It also explores how the old masters made the advances they made, hundreds of years ago. Taken together, these considerations represent new ways of problem solving and new pathways to answers for modern times. Special areas of interest include types of intelligence, attributes of superior thinkers, systems architecting, corporate standouts, barriers to thinking, and innovative companies and universities. This book provides an overview of more than a dozen ways of thinking, to include: Inductive Thinking, Deductive Thinking, Reductionist Thinking, Out-of-the-Box Thinking, Systems Thinking, Design Thinking, Disruptive Thinking, Lateral Thinking, Critical Thinking, Fast and Slow Thinking, and Breakthrough Thinking. With these thinking skills, the reader is better able to tackle and solve new and varied types of problems. Features Proposes new approaches to problem solving for the systems engineer Compares as well as contrasts various types of Systems Thinking Articulates thinking attributes of the great masters as well as selected modern systems engineers Offers chapter by chapter thinking exercises for consideration and testing Suggests a "top dozen" for today’s systems engineers

This textbook introduces the concepts and tools that biomedical and chemical engineering students need to know in order to translate engineering problems into a numerical representation using scientific fundamentals. Modeling concepts focus on problems that are directly related to biomedical and chemical engineering. A variety of computational tools are presented, including MATLAB, Excel, Mathcad, and COMSOL, and a brief introduction to each tool is accompanied by multiple computer lab experiences. The numerical methods covered are basic linear algebra and basic statistics, and traditional methods like Newton's method, Euler Integration, and trapezoidal integration. The book presents the reader with numerous examples and worked problems, and practice problems are included at the end of each chapter. Focuses on problems and methods unique to biomedical and chemical engineering; Presents modeling concepts drawn from chemical, mechanical, and materials engineering; Ancillary materials include lecture notes and slides and online videos that enable a flipped classroom or individual study.