Computational Optimization of Internal Combustion Engines - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Optimization of Internal Combustion Engines write by Yu Shi. This book was released on 2011-06-22. Computational Optimization of Internal Combustion Engines available in PDF, EPUB and Kindle. Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of: spark-ignition engines, dual-fuel engines, heavy duty and light duty diesel engines. Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape. Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry.
Computational Optimization of Internal Combustion Engines
Computational Optimization of Internal Combustion Engines - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Optimization of Internal Combustion Engines write by Bobby Watson. This book was released on 2018-02-21. Computational Optimization of Internal Combustion Engines available in PDF, EPUB and Kindle. Computational Optimization of Internal Combustion Engines demonstrates that the current multi-dimensional CFD tools are mature enough for practical development of internal combustion engines. It is written for researchers and designers in mechanical engineering and the automotive industry.Through regression analysis, optimization results are used to explain complex interactions between engine design parameters, such as nozzle design, injection timing, swirl, exhaust gas recirculation, bore size, and piston bowl shape.
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines write by Jihad Badra. This book was released on 2022-01-28. Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines available in PDF, EPUB and Kindle. 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
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines write by Jihad Badra. This book was released on 2022-01-05. Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines available in PDF, EPUB and Kindle. 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
Introduction to Modeling and Control of Internal Combustion Engine Systems
Introduction to Modeling and Control of Internal Combustion Engine Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Modeling and Control of Internal Combustion Engine Systems write by Lino Guzzella. This book was released on 2013-03-14. Introduction to Modeling and Control of Internal Combustion Engine Systems available in PDF, EPUB and Kindle. Internal combustion engines still have a potential for substantial improvements, particularly with regard to fuel efficiency and environmental compatibility. These goals can be achieved with help of control systems. Modeling and Control of Internal Combustion Engines (ICE) addresses these issues by offering an introduction to cost-effective model-based control system design for ICE. The primary emphasis is put on the ICE and its auxiliary devices. Mathematical models for these processes are developed in the text and selected feedforward and feedback control problems are discussed. The appendix contains a summary of the most important controller analysis and design methods, and a case study that analyzes a simplified idle-speed control problem. The book is written for students interested in the design of classical and novel ICE control systems.
