Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

Download or Read eBook Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines PDF written by Jihad Badra and published by Elsevier. This book was released on 2022-01-05 with total page 262 pages. Available in PDF, EPUB and Kindle.
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
Author :
Publisher : Elsevier
Total Pages : 262
Release :
ISBN-10 : 9780323884587
ISBN-13 : 032388458X
Rating : 4/5 (87 Downloads)

Book Synopsis Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines by : Jihad Badra

Book excerpt: 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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