An Innovative 3D-CFD-Approach towards Virtual Development of Internal Combustion Engines

An Innovative 3D-CFD-Approach towards Virtual Development of Internal Combustion Engines
Author: Marco Chiodi
Publisher: Springer Science & Business Media
Total Pages: 275
Release: 2011-03-07
Genre: Technology & Engineering
ISBN: 3834881317

In the engine development process, simulation and predictive programs have continuously gained in reliance. Due to the complexity of future internal combustion engines the application of simulation programs towards a reliable “virtual engine development” is a need that represents one of the greatest challenges. Marco Chiodi presents an innovative 3D-CFD-tool, exclusively dedicated and optimized for the simulation of internal combustion engines. Thanks to improved or newly developed 3D-CFD-models for the description of engine processes, this tool ensures an efficient and reliable calculation also by using coarse 3D-CFD-meshes. Based on this approach the CPU-time can be reduced up to a factor 100 in comparison to traditional 3D-CFD-simulations. In addition an integrated and automatic “evaluation tool” establishes a comprehensive analysis of the relevant engine parameters. Due to the capability of a reliable “virtual development” of full-engines, this fast response 3D-CFD-tool makes a major contribution to the engine development process. Südwestmetall-Förderpreis 2010

A Phenomenological Knock Model for the Development of Future Engine Concepts

A Phenomenological Knock Model for the Development of Future Engine Concepts
Author: Alexander Fandakov
Publisher: Springer
Total Pages: 233
Release: 2018-12-28
Genre: Technology & Engineering
ISBN: 3658248750

The majority of 0D/1D knock models available today are known for their poor accuracy and the great effort needed for their calibration. Alexander Fandakov presents a novel, extensively validated phenomenological knock model for the development of future engine concepts within a 0D/1D simulation environment that has one engine-specific calibration parameter. Benchmarks against the models commonly used in the automotive industry reveal the huge gain in knock boundary prediction accuracy achieved with the approach proposed in this work. Thus, the new knock model contributes substantially to the efficient design of spark ignition engines employing technologies such as full-load exhaust gas recirculation, water injection, variable compression ratio or lean combustion. About the Author Alexander Fandakov holds a PhD in automotive powertrain engineering from the Institute of Internal Combustion Engines and Automotive Engineering (IVK) at the University of Stuttgart, Germany. Currently, he is working as an advanced powertrain development engineer in the automotive industry.

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
Author: Marlene Wentsch
Publisher: Springer
Total Pages: 181
Release: 2018-05-16
Genre: Technology & Engineering
ISBN: 3658221674

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.

Dynamic Modeling and Predictive Control of a Multi-Mode Combustion Engine

Dynamic Modeling and Predictive Control of a Multi-Mode Combustion Engine
Author:
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN:

Abstract : Low temperature combustion (LTC) offers high thermal efficiency and low engine-out nitrogen oxides (NOx) and particulate matter (PM) emissions. Homogeneous charge compression ignition (HCCI), partially premixed charge compression ignition (PPCI) and reactivity-controlled compression ignition (RCCI) are the common LTC modes studied in this research. The primary barrier to implementing the LTC modes in on-road vehicles is their limited operating range due to high cyclic variability and excessive pressure rise rates. The feasible operating range of the LTC modes is only a subset of the speed-load range of the conventional spark ignition (SI) engine. Therefore, a multi-mode engine concept operating in one or more LTC modes and SI mode is a viable option to improve engine performance in terms of efficiency and emissions. The goal of this dissertation is to develop model-based closed loop control of an SI-RCCI-SI multi-mode engine. Control-oriented models and predictive controllers for HCCI, PPCI and RCCI modes are developed to simultaneously control combustion phasing and engine load for an optimal operation of a multi-mode engine. Cyclic variability in HCCI and RCCI modes are modeled using machine learning classification algorithms. Nonlinear model predictive controllers are developed for HCCI and RCCI modes to control combustion phasing and engine load while constraining cyclic variability below 3%. Furthermore, LTC engine operation faces challenges of excessive pressure rise rates that can damage the hardware. To this end, supervised machine learning classification algorithms are developed to model the heat release type which is used as a scheduling variable to develop data-driven model for an LTC engine. Model predictive controller is then developed to control combustion phasing and engine load while constraining maximum pressure rise rate below 8 bar/CAD. RCCI mode offers good control over the combustion event by modulating the start of injection timing of high reactivity fuel and adjusting the premixed ratio of the dual fuels. Therefore, this research focuses on SI-RCCI-SI multi-mode engine concept. The aim of this research is to achieve smooth SI-RCCI-SI mode switching operation at different engine loads and speed. A dynamic model for SI-RCCI-SI multi-mode engine is developed and validated for different transient conditions. The model includes the mode switching dynamics as well as actuator dynamics. A model-based predictive controller framework is developed for SI-RCCI-SI mode switching. The mode switching controller showed good performance during mode transitions and steady state engine operation. The controller is capable of tracking the desired combustion phasing and engine load during mode switching while maintaining $\lambda$ near stoichiometry in SI mode and constraining maximum pressure rise rate below 8 bar/CAD in RCCI mode.

Introduction to Modeling and Control of Internal Combustion Engine Systems

Introduction to Modeling and Control of Internal Combustion Engine Systems
Author: Lino Guzzella
Publisher: Springer Science & Business Media
Total Pages: 303
Release: 2013-03-14
Genre: Technology & Engineering
ISBN: 3662080036

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.

Modeling of Real Fuels and Knock Occurrence for an Effective 3D-CFD Virtual Engine Development

Modeling of Real Fuels and Knock Occurrence for an Effective 3D-CFD Virtual Engine Development
Author: Francesco Cupo
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN: 9783658316297

To drastically reduce the emission of greenhouse gases, the development of future internal combustion engines will be strictly linked to the development of CO2 neutral fuels (e.g. biofuels and e-fuels). This evolution implies an increase in development complexity, which needs the support of engine 3D-CFD simulations. Francesco Cupo presents approaches to accurately describe fuel characteristics and knock occurrence in SI engines, thus improving the current simulation capability in investigating alternative fuels and innovative combustion processes. The developed models are successfully used to investigate the influence of ethanol-based fuels and water injection strategies on knock occurrence and to conduct a virtual fuel design for and engine operating with the innovative SACI combustion strategy. Contents Detailed description of real fuels Locally-distributed auto-ignition model and knock detection Influence of ethanol-based fuels and water injection on combustion and knock Virtual fuel design for SACI combustion strategy Target Groups Researchers and students in the field of automotive engineering Automotive engineers The Author Francesco Cupo obtained a PhD at the research Institute of Automotive Engineering (IFS) in Stuttgart, Germany. His activity is currently focusing on the design of advanced internal combustion engines and alternative fuels.

Development of a Phase Stability-based Fuel Condensation Model for Advanced Low Temperature Combustion Engines

Development of a Phase Stability-based Fuel Condensation Model for Advanced Low Temperature Combustion Engines
Author:
Publisher:
Total Pages: 182
Release: 2014
Genre:
ISBN:

Ever-more stringent legislative regulations on harmful emissions and fuel efficiency have driven researchers to develop cleaner and more efficient internal combustion engines. Research studies have shown that low temperature combustion can produce very low NOx and soot emissions while obtaining diesel-like high thermal efficiency. One strategy is reactivity controlled compression ignition (RCCI) combustion, which has been shown to be more practical and applicable than homogeneous charge compression ignition (HCCI) by providing extra controllability on the combustion processes, including for the combustion phasing and duration. However, recent experimental work has shown that more than 95% of the particulate matter from RCCI combustion consists of organic species, which is drastically different from conventional diesel combustion (CDC), which mainly produces carbonaceous soot. This distinctive character is believed to be related to condensation processes of large hydrocarbon species that cannot stably exist in the gas phase. Rather, under certain conditions the heavy gaseous species can condense and they become responsible for the organic fraction of the particulate matter. To investigate this physical phenomenon, a thermodynamically consistent, robust and efficient phase equilibrium solver, which performs rigorous phase stability tests and phase splitting calculations with advanced numerical algorithms, was developed. This is a first step forward modeling condensation processes in engines. Potential phase separation and combination are considered using Gibbs free energy minimization and entropy maximization. The numerical solver was well validated on a number of mixtures in two- and three-phase equilibria with available data. It was also applied to study the complex phase behavior of mixtures, including multiphase dynamic flash calculations, supercritical fluid behavior, condensation and evaporation, PVT analysis and critical point behavior. In addition, the developed model was coupled with an open-source CFD code, KIVA, widely used for multi-dimensional engine spray and combustion simulations, thus enabling a consistent treatment of both the fluid dynamics and thermodynamics. The model was used to investigate a number of two-phase flow problems, including regular condensation in a nozzle, retrograde condensation in a shock tube, condensation processes during supercritical fuel injection, and condensation in an engine combustion chamber. The simulations were validated using available experiments for both pure species and mixtures, ranging from subcritical to supercritical flows. The thermodynamic equilibrium analysis was also applied to study engine fuel condensation processes under non-reacting conditions. First, simulations were performed for Sandia optical combustion vessels and engines with direct injection of a diesel jet into a pure nitrogen environment. Consistent with experiments, the simulations show that condensation of previously evaporated fuel takes place during the expansion stroke. For high-pressure fuel injection of an n-alkane fuel, there are local sub-critical conditions under which phase separation can take place. This is because of the significant reduction of the mixture temperature caused by vaporization and cooling of the cold liquid fuel. Therefore, even though the ambient conditions during injection are supercritical relative to the fuel, the actual mixture temperature can be much lower so that the mixture enters into the two-phase region. The phase equilibrium model was finally applied to study fuel condensation processes in a RCCI combustion engine. Condensation was predicted during the late stages of the expansion stroke, when the continuous expansion sends the local fluid into the two-phase region again. The condensed fuel is shown to affect emission predictions, including engine-out particulate matter and unburned hydrocarbons. Consistent with experiments, the organic fraction mass from the condensed fuel is predicted to be the majority (more than 99%) of the total particulate matter. Also, as the engine operation changes from low to high load, fuel condensation is significantly reduced due to the higher temperatures and pressures, and the engine-out PM is predicted to be mainly composed of solid carbonaceous soot particles.