Computational Modeling to Study the Effect of Fuel Pre-treatment on IC Engine Combustion Control


Book Description

Conventional internal combustion (IC) engine combustion strategies such as homogeneous charge spark ignition (HCSI) and stratified charge compression ignition (SCCI) engines have nearly reached their maximum performance and emission reduction capabilities. New low-temperature combustion (LTC) strategies such as homogeneous charge compression ignition (HCCI) and derivitives have the potential to reduce engine-out emissions while maintaining high efficiency; however, combustion phasing challenges must be solved before their widespread use is adopted. The present work studies the potential of two strategies to control combustion phasing of LTC systems: (1) using intra-cycle re-circulated partial oxidation products (RePOx) and (2) internal fuel reformation by residuals during negative valve overlap (NVO). Both systems were studied using chemical kinetic modeling assuming n-heptane as the fuel. A detailed kinetic mechanism was constructed by combining existing n-heptane and nitrogen mechanisms and validated using HCCI experimental data available from the literature. The RePOx strategy was newly conceived as part of this work. The partial oxidation products are created by extracting a portion of the lean charge products during the expansion stroke and mixing these with the fuel in an auxiliary chamber (RePOx prechamber). The equivalence ratio of the recirculated reactants is controlled by varying the amount of mass extracted. The re-circulated partially-oxidized products are then reintroduced into the main chamber and mixed with compressed air to facilitate the main chamber reaction. This process is modeled using a complex reactor network in the CHEMKIN-PRO software package combined with an external program to balance mass and energy for the RePOx system. The study of this concept was performed in two phases. In the first phase, all the fuel was delivered through the RePOx prechamber, while in the second phase, part of the fuel was premixed in the main chamber prior to compression and the balance was delivered through the prechamber. In both phases, the effects of extraction mass, extraction timing, injection timing, pre-chamber volume, and overall equivalence ratio were examined. Varying pre-chamber volume did not show any effect on the performance or combustion phasing under the conditions and assumptions of this study. In the first phase, advancing injection timing by 5o and 10o crank angle (CA) has advanced the combustion phasing by 1.8o and 3.3o CA respectively. With the premixed charge, the combustion in the main engine chamber exhibited low temperature heat release (LTHR) after 30o crank angle (CA) before top dead center (BTDC) compression. This LTHR varied this trend. When the injection was before LTHR (before -30o CA) the trend is similar to first phase. When the injection is after LTHR (-20o CA), the rise in temperature during LTHR advanced the combustion by 7o CA when compared to -30o CA. In both phases when extraction mass is 5% or above, the combustion is advanced with increased extraction amount. When the extraction mass is below 3%, the incomplete alkane oxidation in pre-chamber caused LTHR in the main chamber after injection causing advanced combustion. Late extraction has delayed the combustion in both phases when there is no LTHR. When there is LTHR, the effect of temperature rise due to LTHR dominated the effect of late extraction and there is no variation in combustion phasing. Increasing overall equivalence ratio without premixing from 04 to 0.5 and 0.6 advanced the combustion phasing by 2o and 3o respectively. Under the conditions of the investigation, the RePOx system without premixing was able to operate at lower overall equivalence ratio than pure HCCI. The (NVO) strategy was incorporated into a 'conventional' HCCI engine and was also modeled and evaluated using a complex reactor network in CHEMKIN-PRO. In this case, however, actual experimental data was available from the literature to validate the system as modeled. The data showed that start of injection timing during NVO (NVO_SOI) effected the fuel reformation and varied the main combustion phasing. The main combustion phasing is delayed as the NVO_SOI is intitally retarded since the later injection caused less heat release during NVO, which reduced the temperatures after closing the intake valve (IVC). However, once a particular threshold was reached, additional delay in NVO_SOI resulted in advanced main combustion phasing. The model showed that this was because the reduced time for reformation during NVO caused more alkanes from the reformed fuel to be present during compression of the main combustion event. This triggered low temperature heat release (LTHR) during compression, from which the associated temperature rise caused advanced main combustion. While the model showed the same heat release timing trend as the experimental work, the point of reversing the trend due to LTHR occurred with NVO_SOI 10o crank angle earlier than as it occurred in the experimental results. When both RePOx and NVO systems are compared using the same engine displacement, the RePOx system has more than twice the power output than NVO because the full displacement can be used for fresh charge, whereas the volumetric efficiency is significantly impacted by the NVO valve timing. The RePOx system has more controlling parameters than the NVO system to control the combustion phasing and optimizing performance and emissions. The current research work demonstrates that presence of LTHR effectively minimizes the effect of othe parameters on combustion phasing in both RePOx and NVO systems. LTHR can be minimized by reforming the fuel and controlling the concentrations of species such as HO2, alkenes and alkanes. This work shows that both fuel reforming strategies investigated can be effectively used to control the combustion phasing in LTC systems.




Introduction to Modeling and Control of Internal Combustion Engine Systems


Book Description

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.




Computational Optimization of Internal Combustion Engines


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.







Modeling Engine Spray and Combustion Processes


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.




Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines


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




Computational Modeling by Case Study


Book Description

Mathematical models power the modern world; they allow us to design safe buildings, investigate changes to the climate, and study the transmission of diseases through a population. However, all models are uncertain: building contractors deviate from the planned design, humans impact the climate unpredictably, and diseases mutate and change. Modern advances in mathematics and statistics provide us with techniques to understand and quantify these sources of uncertainty, allowing us to predict and design with confidence. This book presents a comprehensive treatment of uncertainty: its conceptual nature, techniques to quantify uncertainty, and numerous examples to illustrate sound approaches. Several case studies are discussed in detail to demonstrate an end-to-end treatment of scientific modeling under uncertainty, including framing the problem, building and assessing a model, and answering meaningful questions. The book illustrates a computational approach with the Python package Grama, presenting fully reproducible examples that students and practitioners can quickly adapt to their own problems.




An Optical and Computational Investigation on the Effects of Transient Fuel Injections in Internal Combustion Engines


Book Description

The effects of transient rate-of-injection profiles on high-pressure fuel jets have been studied in an optically accessible internal combustion engine. High-speed optical imaging measurements were applied over a range of ambient conditions, fuel types, and injection parameters. The optical data demonstrate that during the early part of the injection, while the liquid core of the jet is disintegrating, penetration is functionally linked to the orifice exit velocity up until a downstream distance hypothesized to be the jet breakup length. The jets then transition to a mixing dominated penetration behavior further downstream. Therefore, for cases that exhibit transient rate-of-injection (ROI) profiles, quasi-steady correlations for penetration have poor agreement with the empirical data. The lack of agreement between models using quasi-steady approximations and the high-speed experimental data, and the experimental evidence of liquid core physics impacting the transient jet penetration, motivated the development of a new 1-D model that integrates liquid core penetration physics and eliminates quasi-steady approximations. The new 1-D modeling methodology couples the transport equations for the evolution of the liquid core of the jet and the surrounding sheath of droplets resulting from breakup. The results of the model are validated against the aforementioned optical transient jet measurements. Finally, experimental results for two jet fuels and a diesel fuel are studied with the aid of the model. Differences in fuel properties cause the diesel fuel jet to transition from an incomplete spray to a complete spray later than the jet fuels during the transient injection process. Increasing ambient density causes the transition to happen earlier during the injection transient for all three fuels. The ignition delay and liftoff length appeared to be relatively unaffected by the late transition from incomplete to complete spray at low ambient density and low injection pressure. The results of the current study emphasize the importance of liquid core breakup on early jet penetration, and emphasize the need to consider the transition from incomplete to complete spray at low injection pressures and/or low ambient density with long transient ROIs to accurately model spray behavior.




Internal Combustion Engine Fundamentals


Book Description

This text, by a leading authority in the field, presents a fundamental and factual development of the science and engineering underlying the design of combustion engines and turbines. An extensive illustration program supports the concepts and theories discussed.