- Advanced Combustion Engine Technologies
- Combustion and flame dynamics
- Vehicle emissions and performance
- Combustion and Detonation Processes
- Biodiesel Production and Applications
- Heat transfer and supercritical fluids
- Refrigeration and Air Conditioning Technologies
- Autonomous Vehicle Technology and Safety
- Industrial Technology and Control Systems
- Traffic control and management
- Catalytic Processes in Materials Science
- Engineering Applied Research
- Turbomachinery Performance and Optimization
Argonne National Laboratory
2019-2024
Illinois Institute of Technology
2018-2024
Abstract Growing environmental concerns and demand for a better fuel economy are driving forces that motivate the research more advanced engines. Multi-mode combustion strategies have gained attention their potential to provide high thermal efficiency low emissions light-duty applications. These target optimizing engine performance by correlating different modes load operating conditions. The extension from boosted spark ignition (SI) mode at loads compression (ACI) can be achieved...
<div class="section abstract"><div class="htmlview paragraph">The knock resistance of fuels has been historically measured using the ASTM RON and MON methods. However, significant discrepancies between fuel octane number knock-limited performance in modern spark-ignited (SI) engines have well-documented. Differences operating conditions Cooperative Fuels Research (CFR) engine during rating those attained SI highlighted literature. While ratings are performed for each on CFR at...
The need for precise control of complex air handling systems on modern engines has driven research into model-based methods. While can provide improved performance over prior map-based methods, they require the creation an accurate model. Physics-based models be precise, but also computationally expensive and extensive calibration. To address this limitation, work explores integration data-driven overall physics-based framework applies approach to gas exchange processes a diesel engine with...
Dual fuel engines can achieve high efficiencies and low emissions but also encounter cylinder-to-cylinder variations on multi-cylinder engines. In order to avoid these variations, they require a more complex method for combustion phasing control such as model-based control. Since the process in is complex, typical models of this system are well there need simpler, computationally efficient, control-oriented dual process. paper, mean-value model designed. Combustion predicted using knock...
Abstract The gas exchange processes of engines are becoming increasingly complex since modern leverage technologies including variable valve actuation, turbochargers, and exhaust recirculation. Control these many devices the underlying flows is essential for high efficiency engine concepts. If to be controlled estimated using model-based techniques, accurate models required. This work explores a model framework that leverages data-driven turbocharger along with submodels intercooler, intake...
Dual-fuel engines can achieve high efficiencies and low emissions but also encounter cylinder-to-cylinder variations on multicylinder engines. In order to avoid these variations, they require a more complex method for combustion phasing control such as model-based control. Since the process in is complex, typical models of system are well there need simpler, computationally efficient, control-oriented dual-fuel process. this paper, mean-value model designed calibrated, two strategies...
Up to date many proposals for the fuel rating in Spark Ignition (SI) engine have been suggested and there is still no consensus on this industry using RON MON tests rate fuels a need come up with new system.The knocking tendency of SI engines primarily governed by end-gas auto-ignition.Another combustion mode, Homogeneous Charge Compression (HCCI) also driven auto-ignition complete charge inside cylinder.Fundamentally, process both modes HCCI mode can be used understand behavior engines.The...
<div class="section abstract"><div class="htmlview paragraph">While experimental data measured directly on the engine are very valuable, there is a limitation of what measurements can be made without modifying or process that being investigated, such as cylinder temperature. In order to supplement results, Three Pressure Analysis (TPA) GT-Power model Cooperative Fuel Research (CFR) was previously developed and validated for estimating temperature residual fraction. However, this...
<div class="section abstract"><div class="htmlview paragraph">A fully instrumented Tesla Model 3 was used to collect thousands of hours real-world automated driving data, encompassing both Autopilot and Full Self-Driving modes. This comprehensive dataset included vehicle operational parameters from the data busses, capturing details such as powertrain performance, energy consumption, control advanced driver assistance systems (ADAS). Additionally, interactions with surrounding...
In internal combustion engine research, cylinder pressure measurements provide valuable information about the underlying thermodynamic and processes, are typically collected in ensembles of several 100 traces. Although some particular fields research all traces analyzed, most cases only one trace is studied because analyzing impractical due to large number samples. Instead, an ensemble-averaged commonly calculated used for analysis. However, this highly smoothed dynamic lost during averaging...
In the present work, computational fluid dynamics (CFD) simulations of a single-cylinder gasoline compression ignition (GCI) engine are performed to investigate impact gasoline-ethanol blending on autoignition, nitrogen oxide (NO x ), and soot emissions under low-load conditions. order represent test (RD5-87), four-component toluene primary reference fuel (TPRF)+ethanol (ETPRF) surrogate (with 10% ethanol by volume; E10) is employed. A three-dimensional (3D) CFD model employing finite-rate...
In the present work, computational fluid dynamics (CFD) simulations of a single-cylinder gasoline compression ignition (GCI) engine were performed to investigate impact blending two biofuels, ethanol and n-butanol, with on trade-off between combustion phasing soot emissions under low-load conditions. order represent market (RD5-87), four-component toluene primary reference fuel (TPRF)+ethanol (ETPRF) surrogate (with 20% by mole; E20) was formulated using neural network based octane predictor...
Abstract Growing environmental concerns and demand for better fuel economy are driving forces that motivate the research more advanced engines. Multi-mode combustion strategies have gained attention their potential to provide high thermal efficiency low emissions light-duty applications. These target optimizing engine performance by correlating different modes load operating conditions. The extension from boosted SI mode at loads compression ignition (ACI) can be achieved increasing ratio...
In the present work, computational fluid dynamics (CFD) simulations of a single-cylinder gasoline compression ignition (GCI) engine are performed to investigate impact gasoline-ethanol blending on autoignition, nitrogen oxide (NOx), and soot emissions under low-load conditions. order represent test (RD5-87), four-component toluene primary reference fuel (TPRF) + ethanol (ETPRF) surrogate (with 10% by volume; E10) is employed. A three-dimensional (3D) CFD model employing finite-rate chemistry...
<div class="section abstract"><div class="htmlview paragraph">The autoignition chemistry of fuels depends on the pressure, temperature, and time history that fuel-air mixture experiences during compression stroke. While piezoelectric pressure transducers offer excellent means measurement, temperature measurements are not commonly available must be estimated. Even if at intake exhaust ports measured, residual gas fraction (RGF) within combustion chamber requires estimation greatly...