Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
eBook - ePub

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

  1. 260 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

Book details
Table of contents
Citations

About This Book

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design.

  • Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems
  • Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments
  • Discusses data driven optimization techniques for fuel formulations and vehicle control calibration

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Yes, you can access Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by Jihad Badra,Pinaki Pal,Yuanjiang Pei,Sibendu Som in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automotive Transportation & Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Elsevier
Year
2022
ISBN
9780323884587
Topic
Technology & Engineering
Subtopic
Automotive Transportation & Engineering
Index
Technology & Engineering

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Foreword
  7. Preface
  8. Chapter 1. Introduction
  9. Section 1. Artificial Intelligence to optimize fuel formulation
  10. Section 2. Artificial Intelligence and computational fluid dynamics to optimize internal combustion engines
  11. Section 3. Artificial Intelligence to predict abnormal engine phenomena
  12. Index