Engine Modeling and Simulation (eBook, PDF)

Redaktion: Agarwal, Avinash Kumar; Sonawane, Utkarsha; Sharma, Nikhil; Kumar, Dhananjay

• Format: PDF

Produktbeschreibung

This book focuses on the simulation and modeling of internal combustion engines. The contents include various aspects of diesel and gasoline engine modeling and simulation such as spray, combustion, ignition, in-cylinder phenomena, emissions, exhaust heat recovery. It also explored engine models and analysis of cylinder bore piston stresses and temperature effects. This book includes recent literature and focuses on current modeling and simulation trends for internal combustion engines. Readers will gain knowledge about engine process simulation and modeling, helpful for the development of efficient and emission-free engines. A few chapters highlight the review of state-of-the-art models for spray, combustion, and emissions, focusing on the theory, models, and their applications from an engine point of view. This volume would be of interest to professionals, post-graduate students involved in alternative fuels, IC engines, engine modeling and simulation, and environmental research.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 364
• Erscheinungstermin: 16. Dezember 2021
• Englisch
• ISBN-13: 9789811686184
• Artikelnr.: 63225579

Autorenporträt

Avinash Kumar Agarwal: Prof. Avinash Kumar Agarwal joined IIT Kanpur in 2001. He worked at the Engine Research Center, UW@Madison, the USA as a Post-Doctoral Fellow (1999 - 2001). His interests are IC engines, combustion, alternate and conventional fuels, lubricating oil tribology, optical diagnostics, laser ignition, HCCI, emissions, and particulate control, 1D and 3D Simulations of engine processes, and large-bore engines. Prof. Agarwal has published 435+ peer-reviewed international journal and conference papers, 70 edited books, 92 books chapters, and 12200+ Scopus and 19000+ Google Scholar citations. He is the associate principal editor of FUEL. He has edited "Handbook of Combustion" (5 Volumes; 3168 pages), published by Wiley VCH, Germany. Prof. Agarwal is a Fellow of SAE (2012), Fellow of ASME (2013), Fellow of ISEES (2015), Fellow of INAE (2015), Fellow of NASI (2018), Fellow of Royal Society of Chemistry (2018), and a Fellow of American Association of Advancement in Science (2020). He is the recipient of several prestigious awards such as Clarivate Analytics India Citation Award-2017 in Engineering and Technology, NASI-Reliance Industries Platinum Jubilee Award-2012; INAE Silver Jubilee Young Engineer Award-2012; Dr. C. V. Raman Young Teachers Award: 2011; SAE Ralph R. Teetor Educational Award -2008; INSA Young Scientist Award-2007; UICT Young Scientist Award-2007; INAE Young Engineer Award-2005. Prof. Agarwal received Prestigious CSIR Shanti Swarup Bhatnagar Award-2016 in Engineering Sciences. Prof. Agarwal is conferred upon Sir J C Bose National Fellowship (2019) by SERB for his outstanding contributions. Prof. Agarwal was a highly cited researcher (2018) and was in the top ten HCR from India among 4000 HCR researchers globally in 22 fields of inquiry. Dhananjay Kumar is a research scholar at the Engine Research Laboratory, Indian Institute of Technology (IIT) Kanpur, India. He received his B.Tech. in Mechanical Engineering from National Institute of Technology (NIT) Mizoram, India in 2017. His research area includes laser ignition technology, alternative fuels, combustion simulations, particulate characterization, etc. He has published several international journal papers and authored book chapters in the area of laser ignition, combustion simulations and alternative fuel like methanol, H2, CNG, DME, etc.  Nikhil Sharma is an Assistant Professor at the Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, India. He completed his post-doctoral at the division of Combustion and Propulsion Systems, Chalmers University of Technology, Sweden. He also worked as a CSIR Pool Scientist at the Engine Research Laboratory, Indian Institute of Technology (IIT) Kanpur, India. He was involved in gasoline spray and particulate investigations from direct injection engines. His areas of research include spray characteristics, exhaust gas aftertreatment system, particulate filters, and renewable fuels. He has published more than 23 technical articles in international journals.   Utkarsha Sonawane is a research scholar at the Engine Research Laboratory, Indian Institute of Technology (IIT) Kanpur, India. She has received her M.Tech. in Automotive Technology from the College of Engineering Pune (COEP), India, in 2018. Her research areas include internal combustion engines, combustion, alternate and conventional fuels, spray and combustion characterization, computation fluid dynamics (CFD). She has published international journal papers and authored book chapters.

Inhaltsangabe

Introduction to Engine Modeling and Simulation.- Development of Engine Models and Analysis of Cylinder Bore Piston Stresses and Temperature Effects in IC Engine.- Mathematical Modeling of Injection and Spray Characteristics of a Diesel Engine: A Review.- Spray Breakup Modelling for Internal Combustion Engines.- Modeling and Simulation of Diesel Engines using CFD and its Applications in Optimizing Various In-Cylinder Techniques.- Physical and Data-Driven Models Hybridisation for Modelling the Dynamic State of a Four-Stroke Marine Diesel Engine.- Soot Particles and NOx Modelling for Diesel Engine.- NOx emission prediction model for DI diesel engine.- Fundamentals, Evolution, and Modeling of Ignition Systems for Spark Ignition Engines.- Methods in SI engine modelling: Auto calibration of combustion and heat transfer models, and exergy analysis.- Investigation on the effect of injection timings on combustion, performance and emissions of a pure methanol fuelled DISI engine through 1-D simulations.- Automotive exhaust thermoelectric generator unit integrated to exhaust noise muffler: Heat recovery and noise attenuation simulations.- Diesel engine waste heat recovery schemes for improved fuel economy and reduced emissions: Simulation result.