- 148 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Modeling, in the past 60 years, has been constantly evolving and has revolutionized the industrial sector. Its continuous development will still have profound impact in the upcoming future. For big or small companies, modeling is a tool which brings technical improvement and profitability.
What is modeling? What are the benefits and limits? What are the best practices, technical and non-technical, to apply?
The objective of this book is to bring answers to these questions in a synthetic and transversal manner, so that engineers, managers and directors can see future challenges not as a threat, but as an opportunity.
Features:
-
- Transversal and synthetic view on modeling, written in a clear and pragmatic way
- Technical best practices to build/ develop a model
- Non-technical best practices to efficiently deploy modeling in companies
- All best practices discussed in the book have been truly already implemented in past situations
- Theory is illustrated in a case study from the beginning to the end of the book
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Modeling and Simulation by Guillaume Dubois in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.
Information
1
What Is Numerical Simulation?
A model is a testable representation of a system. Numerical simulation consists of translating a mathematical model into numerical language in order to perform complex calculations more easily.
Discerning readers may skip to the next chapter.
1.1 What Is a Model?
A model of a system is an experienceable representation.
Let’s begin with defining what a system is. It is an object (real or abstract) or a set of objects that we are willing to study. It is a very broad concept: for instance, a system may be a plane, an engine, or even a screw. Note that it may contain subsystems that are systems as well. So, in industry, teams work on systems on a daily basis (these systems will be products or parts of products marketed by the company), either to conceive, develop, or produce them.
There are many possible representations of a single system. In this work, we will deal with a mathematical representation; that is to say, the representation aims at describing its behavior through equations. Those equations often come from known laws of physics (such as the forces of gravity or the fundamental principles of dynamics). The representation of a system may be understood as a rationalization of reality or a vision of a system through one angle.
In industry, a wide range of systems are constantly tested through live experiments. For example, we are able to test an aircraft engine to assess the temperatures its compartments can reach or to test a screw to determine what mechanical stresses it can resist. Also, a system representation can be tested. This experiment will consequently be virtual.
Let’s illustrate this concept with an example, represented by the figure below, assuming that our goal is to assess the duration of an ice cube melting in a glass of water (Figure 1.1).
FIGURE 1.1
The system studied: an ice cube floating in a glass of water.
The system studied here is an ice cube—that is to say, the volume of water initially contained in it. The rest of the water filling the glass will be the environment of the system. We will build a representation of the ice cube, making it simpler.
We consider that the ice cube exchanges, by convection, with the rest of the water contained in the glass. Using thermodynamics, we can assume that the exchanged heating power will be
Table of contents
- Cover
- Half-Title
- Title
- Copyright
- Dedication
- Foreword
- Special Thanks
- Contents
- About the Author
- Introduction
- 1 What Is Numerical Simulation?
- 2 A Bit of History
- 3 Numerical Simulation in Industry: Why?
- 4 Efficient Use of Numerical Simulation: Technical Aspects
- 5 Efficient Use of Numerical Simulation: Organizational Aspects
- 6 The Future of Numerical Simulation in Industry: The Early Twenty-First Century
- Conclusion
- Bibliography
- Index