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Modeling and Problem Solving Techniques for Engineers

Modeling and Problem Solving Techniques for Engineers PDF Author: Laszlo Horvath
Publisher: Elsevier
ISBN: 0080511910
Category : Mathematics
Languages : en
Pages : 352

Book Description
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

Modeling and Problem Solving Techniques for Engineers

Modeling and Problem Solving Techniques for Engineers PDF Author: Laszlo Horvath
Publisher: Elsevier
ISBN: 0080511910
Category : Mathematics
Languages : en
Pages : 352

Book Description
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

Introduction to Engineering

Introduction to Engineering PDF Author: Jay Brockman
Publisher: John Wiley & Sons
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 628

Book Description
"Written through the eyes of an engineer, this book offers readers an introduction to the field that looks at how engineers apply science and technology to solve problems facing society. It first focuses on how engineers represent and solve engineering problems and then describes some of the different kinds of mathematical models that are used. Readers will also find a whole section dedicated to MATLAB, an integrated environment for technical computing."--Publisher's website.

Modeling and Problem Solving Techniques for Engineers

Modeling and Problem Solving Techniques for Engineers PDF Author: Laszlo Horvath
Publisher: Elsevier
ISBN: 012602250X
Category : Mathematics
Languages : en
Pages : 350

Book Description
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.

Thinking

Thinking PDF Author: Howard Eisner
Publisher: CRC Press
ISBN: 0429655584
Category : Technology & Engineering
Languages : en
Pages : 156

Book Description
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

Problem Solving for Engineers

Problem Solving for Engineers PDF Author: David G. Carmichael
Publisher: CRC Press
ISBN: 146657061X
Category : Business & Economics
Languages : en
Pages : 443

Book Description
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.

Introduction to Engineering

Introduction to Engineering PDF Author: Jay B. Brockman
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 350

Book Description


Mathematical Modelling

Mathematical Modelling PDF Author: D. N. P. Murthy
Publisher: Pergamon
ISBN:
Category : Mathematics
Languages : en
Pages : 364

Book Description
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.

Foundations of Mathematical Modelling for Engineering Problem Solving

Foundations of Mathematical Modelling for Engineering Problem Solving PDF Author: Parikshit Narendra Mahalle
Publisher: Springer Nature
ISBN: 9811988285
Category : Technology & Engineering
Languages : en
Pages : 177

Book Description
This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.

Engineering Problem-Solving 101: Time-Tested and Timeless Techniques

Engineering Problem-Solving 101: Time-Tested and Timeless Techniques PDF Author: Robert Messler
Publisher: McGraw Hill Professional
ISBN: 0071799974
Category : Technology & Engineering
Languages : en
Pages : 288

Book Description
MASTER UNIVERSAL ENGINEERING PROBLEM-SOLVING TECHNIQUES Advance your engineering skills and become a capable, confident problem solver by learning the wide array of tools, processes, and tactics employed in the field. Going far beyond "plug-and-chug" solutions, this multidisciplinary guide explains the underlying scientific principles, provides detailed engineering analysis, and lays out versatile problem-solving methodologies. Written by an "engineer who teaches," with more than 20 years of experience as a practicing engineer and numerous awards for teaching engineering, this straightforward, one-of-a-kind resource fills a long-vacant niche by identifying and teaching the procedures necessary to address and resolve any problem, regardless of its complexity. Engineering Problem-Solving 101: Time-Tested and Timeless Techniques contains more than 50 systematic approaches spanning all disciplines, logically organized into mathematical, physical/mechanical, visual, and conceptual categories. Strategies are reinforced with practical reference tables, technical illustrations, interesting photographs, and real-world examples. Inside, you'll find: 50+ proven problem-solving methods Illustrative examples from all engineering disciplines Photos, illustrations, and figures that complement the material covered Detailed tables that summarize concepts and provide useful data in a convenient format

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Soft Computing Approach for Mathematical Modeling of Engineering Problems PDF Author: Ali Ahmadian
Publisher: CRC Press
ISBN: 1000432467
Category : Computers
Languages : en
Pages : 160

Book Description
This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.