Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines – Ebook PDF Instant Delivery – ISBN(s): 9780323884570,0323884571
Product details:
- ISBN-10 : 0323884571
- ISBN-13 : 978-0323884570
- Author: Jihad Badra , Pinaki Pal , Yuanjiang Pei , Sibendu Som
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 combu
Table of contents:
Chapter 1. Introduction
Chapter 2. Optimization of fuel formulation using adaptive learning and artificial intelligence
Chapter 3. Artificial intelligence–enabled fuel design
Chapter 4. Engine optimization using computational fluid dynamics and genetic algorithms
Chapter 5. Computational fluid dynamics–guided engine combustion system design optimization using design of experiments
Chapter 6. A machine learning-genetic algorithm approach for rapid optimization of internal combustion engines
Chapter 7. Machine learning–driven sequential optimization using dynamic exploration and exploitation
Chapter 8. Artificial-intelligence-based prediction and control of combustion instabilities in spark-ignition engines
Chapter 9. Using deep learning to diagnose preignition in turbocharged spark-ignited engines
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