Simulation of Internal Combustion Engines with High-Performance Computing Tools

Simulation of Internal Combustion Engines with High-Performance Computing Tools PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 8

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Book Description
Traditional Lagrangian spray modeling approaches for internal combustion engines are highly griddependent due to insufficient resolution in the near nozzle region. This is primarily because of inherent restrictions of volume fraction with the Lagrangian assumption together with high computational costs associated with small grid sizes. A state-of-the-art grid-convergent spray modeling approach was developed and implemented by Senecal et al. (ASME-ICEF2012-92043) in the CONVERGE software. The key features of the methodology include Adaptive Mesh Refinement (AMR), advanced liquid-gas momentum coupling, and improved distribution of the liquid phase, which enables use of cell sizes smaller than the nozzle diameter. This modeling approach was rigorously validated against nonevaporating, evaporating, and reacting data from the literature. The current numerical study focusses on further demonstration of the grid-convergent modeling approach for simulating a single-cylinder Cat® compression ignition engine. The simulated injector is characterized with a nominal nozzle exit diameter of 259 [mu]m. Simulations using various minimum grid sizes (ranging from 125 [mu]m to 1000 [mu]m) are compared for engine performance and emissions parameters of interest such as pressure, heat release rate, ignition delay, NOx, HC, and soot emissions. The peak cell-count for the highest resolution simulation was on the order of 34 million. These computationally expensive simulations were facilitated at a high-performance computing facility at Argonne National Laboratory. METIS load-balancing algorithm was developed and implemented in Converge code for the simulations. Scaling studies were also performed. The validity of previously recommended grid settings (ASME-ICEF2012-92043) for accuracy/runtime trade-off is further assessed. Efficacy of a simplified combustion model is also compared against a detailed chemical kinetics based combustion model.

Simulation of Internal Combustion Engines with High-Performance Computing Tools

Simulation of Internal Combustion Engines with High-Performance Computing Tools PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 8

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Book Description
Traditional Lagrangian spray modeling approaches for internal combustion engines are highly griddependent due to insufficient resolution in the near nozzle region. This is primarily because of inherent restrictions of volume fraction with the Lagrangian assumption together with high computational costs associated with small grid sizes. A state-of-the-art grid-convergent spray modeling approach was developed and implemented by Senecal et al. (ASME-ICEF2012-92043) in the CONVERGE software. The key features of the methodology include Adaptive Mesh Refinement (AMR), advanced liquid-gas momentum coupling, and improved distribution of the liquid phase, which enables use of cell sizes smaller than the nozzle diameter. This modeling approach was rigorously validated against nonevaporating, evaporating, and reacting data from the literature. The current numerical study focusses on further demonstration of the grid-convergent modeling approach for simulating a single-cylinder Cat® compression ignition engine. The simulated injector is characterized with a nominal nozzle exit diameter of 259 [mu]m. Simulations using various minimum grid sizes (ranging from 125 [mu]m to 1000 [mu]m) are compared for engine performance and emissions parameters of interest such as pressure, heat release rate, ignition delay, NOx, HC, and soot emissions. The peak cell-count for the highest resolution simulation was on the order of 34 million. These computationally expensive simulations were facilitated at a high-performance computing facility at Argonne National Laboratory. METIS load-balancing algorithm was developed and implemented in Converge code for the simulations. Scaling studies were also performed. The validity of previously recommended grid settings (ASME-ICEF2012-92043) for accuracy/runtime trade-off is further assessed. Efficacy of a simplified combustion model is also compared against a detailed chemical kinetics based combustion model.

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines PDF Author: Jihad Badra
Publisher: Elsevier
ISBN: 032388458X
Category : Technology & Engineering
Languages : en
Pages : 262

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Book Description
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

Application of High Performance Computing for Automotive Design and Manufacturing

Application of High Performance Computing for Automotive Design and Manufacturing PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 6

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Book Description
This project developed new computer simulation tools which can be used in DOE internal combustion engine and weapons simulation programs currently being developed. Entirely new massively parallel computer modeling codes for chemically reactive and incompressible fluid mechanics with interactive physics sub-models were developed. Chemically reactive and aerodynamic flows are central parts in many DOE systems. Advanced computer modeling codes with new chemistry and physics capabilities can be used on massively parallel computers to handle more complex problems associated with chemically reactive propulsion systems, energy efficiency, enhanced performance and durability, multi-fuel capability and reduced pollutant emissions. The work for this project is also relevant to the design, development and application of advanced user-friendly computer codes for new high-performance computing platforms for manufacturing and which will also impact and interact with the U.S.'s advanced communications program. Finite element method (FEM) formulations were developed that are directly usable in simulating rapid deformation resulting from collision, impact, projectiles, etc. This simulation capability is applicable to both DOE (e.g., surety and penetration) and DoD (e.g., armor) applications. The models of plate and shell composite structures were developed for simulation of glass continuous strand mat and braided composite in thermoset polymer matrix. The developed numerical tools based upon the fundamental mechanisms responsible for damage evolution in continuous-fiber organic-matrix composites. This class of materials is especially relevant because of their high strength to mass ratio, anisotropic behavior, and general application in most transportation and weapon delivery systems. The high-performance computational tools developed are generally applicable to a broad spectrum of materials with similar fiber structures.

Understanding and Applying Software Tools to Simulate the Performance of Internal Combustion Engines in Order to Improve Their Overall Efficiency

Understanding and Applying Software Tools to Simulate the Performance of Internal Combustion Engines in Order to Improve Their Overall Efficiency PDF Author: Veerle De Ridder
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Engine Modeling and Simulation

Engine Modeling and Simulation PDF Author: Avinash Kumar Agarwal
Publisher: Springer Nature
ISBN: 9811686181
Category : Technology & Engineering
Languages : en
Pages : 368

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Book Description
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.

Analysis of Injection Processes in an Innovative 3D-CFD Tool for the Simulation of Internal Combustion Engines

Analysis of Injection Processes in an Innovative 3D-CFD Tool for the Simulation of Internal Combustion Engines PDF Author: Marlene Wentsch
Publisher: Springer
ISBN: 3658221674
Category : Technology & Engineering
Languages : en
Pages : 181

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Book Description
Due to the large number of influencing parameters and interactions, the fuel injection and therewith fuel propagation and distribution are among the most complex processes in an internal combustion engine. For this reason, injection is usually the subject to highly detailed numerical modeling, which leads to unacceptably high computing times in the 3D-CFD simulation of a full engine domain. Marlene Wentsch presents a critical analysis, optimization and extension of injection modeling in an innovative, fast response 3D-CFD tool that is exclusively dedicated to the virtual development of internal combustion engines. About the Author Marlene Wentsch works as research associate in the field of 3D-CFD simulations of injection processes at the Institute of Internal Combustion Engines and Automotive Engineering (IVK), University of Stuttgart, Germany.

Modeling Engine Spray and Combustion Processes

Modeling Engine Spray and Combustion Processes PDF Author: Gunnar Stiesch
Publisher: Springer Science & Business Media
ISBN: 3662087901
Category : Computers
Languages : en
Pages : 293

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Book Description
The utilization of mathematical models to numerically describe the performance of internal combustion engines is of great significance in the development of new and improved engines. Today, such simulation models can already be viewed as standard tools, and their importance is likely to increase further as available com puter power is expected to increase and the predictive quality of the models is constantly enhanced. This book describes and discusses the most widely used mathematical models for in-cylinder spray and combustion processes, which are the most important subprocesses affecting engine fuel consumption and pollutant emissions. The relevant thermodynamic, fluid dynamic and chemical principles are summarized, and then the application of these principles to the in-cylinder processes is ex plained. Different modeling approaches for the each subprocesses are compared and discussed with respect to the governing model assumptions and simplifica tions. Conclusions are drawn as to which model approach is appropriate for a specific type of problem in the development process of an engine. Hence, this book may serve both as a graduate level textbook for combustion engineering stu dents and as a reference for professionals employed in the field of combustion en gine modeling. The research necessary for this book was carried out during my employment as a postdoctoral scientist at the Institute of Technical Combustion (ITV) at the Uni versity of Hannover, Germany and at the Engine Research Center (ERC) at the University of Wisconsin-Madison, USA.

Simulating Combustion

Simulating Combustion PDF Author: Günter P. Merker
Publisher: Springer Science & Business Media
ISBN: 3540306269
Category : Technology & Engineering
Languages : en
Pages : 424

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Book Description
The numerical simulation of combustion processes in internal combustion engines, including also the formation of pollutants, has become increasingly important in the recent years, and today the simulation of those processes has already become an indispensable tool when - veloping new combustion concepts. While pure thermodynamic models are well-established tools that are in use for the simulation of the transient behavior of complex systems for a long time, the phenomenological models have become more important in the recent years and have also been implemented in these simulation programs. In contrast to this, the thr- dimensional simulation of in-cylinder combustion, i. e. the detailed, integrated and continuous simulation of the process chain injection, mixture formation, ignition, heat release due to combustion and formation of pollutants, has been significantly improved, but there is still a number of challenging problems to solve, regarding for example the exact description of s- processes like the structure of turbulence during combustion as well as the appropriate choice of the numerical grid. While chapter 2 includes a short introduction of functionality and operating modes of internal combustion engines, the basics of kinetic reactions are presented in chapter 3. In chapter 4 the physical and chemical processes taking place in the combustion chamber are described. Ch- ter 5 is about phenomenological multi-zone models, and in chapter 6 the formation of poll- ants is described.

Quasi-Dimensional Simulation of Spark Ignition Engines

Quasi-Dimensional Simulation of Spark Ignition Engines PDF Author: Alejandro Medina
Publisher: Springer Science & Business Media
ISBN: 1447152891
Category : Technology & Engineering
Languages : en
Pages : 201

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Book Description
Based on the simulations developed in research groups over the past years, Introduction to Quasi-dimensional Simulation of Spark Ignition Engines provides a compilation of the main ingredients necessary to build up a quasi-dimensional computer simulation scheme. Quasi-dimensional computer simulation of spark ignition engines is a powerful but affordable tool which obtains realistic estimations of a wide variety of variables for a simulated engine keeping insight the basic physical and chemical processes involved in the real evolution of an automotive engine. With low computational costs, it can optimize the design and operation of spark ignition engines as well as it allows to analyze cycle-to-cycle fluctuations. Including details about the structure of a complete simulation scheme, information about what kind of information can be obtained, and comparisons of the simulation results with experiments, Introduction to Quasi-dimensional Simulation of Spark Ignition Engines offers a thorough guide of this technique. Advanced undergraduates and postgraduates as well as researchers in government and industry in all areas related to applied physics and mechanical and automotive engineering can apply these tools to simulate cyclic variability, potentially leading to new design and control alternatives for lowering emissions and expanding the actual operation limits of spark ignition engines

Computational Optimization of Internal Combustion Engines

Computational Optimization of Internal Combustion Engines PDF 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.