A Computational Study of the Impact of Mixing on Homogeneous Charge Compression Ignition PDF Download
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Author: Rahul Jhavar
Publisher:
ISBN:
Category :
Languages : en
Pages : 292
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Book Description
Author: Rahul Jhavar
Publisher:
ISBN:
Category :
Languages : en
Pages : 292
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Book Description
Author: Ramanan Sankaran
Publisher:
ISBN:
Category :
Languages : en
Pages : 314
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Book Description
Author: Laura M. Ricart
Publisher:
ISBN:
Category :
Languages : en
Pages : 396
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Book Description
Author: Society of Automotive Engineers
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 154
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Book Description
Author: Rahul Jhavar
Publisher:
ISBN:
Category :
Languages : en
Pages : 154
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Book Description
Author: Hua Zhao
Publisher: CRC Press
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 562
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Book Description
Homogeneous charge compression ignition (HCCI)/controlled auto-ignition (CAI) has emerged as one of the most promising engine technologies with the potential to combine fuel efficiency and improved emissions performance, offering reduced nitrous oxides and particulate matter alongside efficiency comparable with modern diesel engines. Despite the considerable advantages, its operational range is rather limited and controlling the combustion (timing of ignition and rate of energy release) is still an area of on-going research. Commercial applications are, however, close to reality. HCCI a.
Author:
Publisher:
ISBN: 9780768015577
Category : Automobiles
Languages : en
Pages : 962
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Book Description
Author:
Publisher:
ISBN:
Category : Internal combustion engines
Languages : en
Pages : 332
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Book Description
Author: Derek Dunn-Rankin
Publisher: Academic Press
ISBN: 0128005777
Category : Science
Languages : en
Pages : 282
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Book Description
Lean Combustion: Technology and Control, Second Edition outlines and explains the latest advances in lean combustion technology and systems. Combustion under sufficiently fuel-lean conditions can have the desirable attributes of high efficiency and low emissions. The book offers readers both the fundamentals and latest developments in how lean burn (broadly defined) can increase fuel economy and decrease emissions, while still achieving desired power output and performance. This volume brings together research and design of lean combustion systems across the technology spectrum in order to explore the state-of-the-art in lean combustion. Readers will learn about advances in the understanding of ultra-lean fuel mixtures and how new types of burners and approaches to managing heat flow can reduce problems often found with lean combustion (such as slow, difficult ignition and frequent flame extinction). This book offers abundant references and examples of real-world applications. New to this edition are significantly revised chapters on IC engines and stability/oscillations, and new case studies and examples. Written by a team of experts, this contributed reference book aims to teach its reader to maximize efficiency and minimize both economic and environmental costs. - Presents a comprehensive collection of lean burn technology across potential applications, allowing readers to compare and contrast similarities and differences - Provides an extensive update on IC engines including compression ignition (diesel), spark ignition, and homogeneous charge compression ignition (HCCI) - Includes an extensive revision to the Stability/Oscillations chapter - Includes use of alternative fuels such as biogas and hydrogen for relevant technologies - Covers new developments in lean combustion using high levels of pre-heat and heat recirculating burners, as well as the active control of lean combustion instabilities
Author: Yu Shi
Publisher: Springer Science & Business Media
ISBN: 0857296191
Category : Technology & Engineering
Languages : en
Pages : 323
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Book Description
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.
