Artificial Intelligence And Data Driven Optimization Of Internal Combustion Engines PDF
It is an amazing Technology & Engineering book written by Jihad Badra and published by Elsevier. This book was released on 21 January 2022 with total pages 260. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines book now. This site is like a library, Use search box to get ebook that you want.
- Author : Jihad Badra
- Release Date : 21 January 2022
- Publisher : Elsevier
- Genre : Technology & Engineering
- Pages : 260
- ISBN 13 : 9780323884587
- Total Download : 102
- File Size : 42,6 Mb
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines PDF Summary
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
