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Hybrid Modeling and Optimization of Manufacturing

Combining Artificial Intelligence and Finite Element Method

  • Book
  • © 2012

Overview

Authors:
  1. Ramón Quiza

    1. , Department of Mechanical Engineering, University of Matanzas, Matanzas, Cuba

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  2. Omar López-Armas

    1. , Department of Mechanical Engineering, University of Matanzas, Matanzas, Cuba

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    You can also search for this author in PubMed   Google Scholar

  3. J. Paulo Davim

    1. , Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

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  • Explains possible combinations of AI and FEM to be used in modeling and optimization of manufacturing processes
  • Describes comprehensively the used techniques, allowing their use by researchers and engineers
  • Deals with the problem of modeling and optimizing manufacturing processes not only from a research point of view, but also with a technical approach
  • Includes a full developed case of study, illustrating the application of the used techniques
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Mechanics (BRIEFSCOMPUTAT)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Ramón Quiza, Omar López-Armas, J. Paulo Davim
    Pages 1-11

  3. Finite Element in Manufacturing Processes

    • Ramón Quiza, Omar López-Armas, J. Paulo Davim
    Pages 13-37

  4. Artificial Intelligence Tools

    • Ramón Quiza, Omar López-Armas, J. Paulo Davim
    Pages 39-77

  5. Case of Study

    • Ramón Quiza, Omar López-Armas, J. Paulo Davim
    Pages 79-91

  6. Back Matter

    Pages 93-95
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Keywords

About this book

Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

Authors and Affiliations

  • , Department of Mechanical Engineering, University of Matanzas, Matanzas, Cuba

    Ramón Quiza, Omar López-Armas

  • , Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

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