
Pourya RahnamaEindhoven University of Technology | TUE · Department of Mechanical Engineering
Pourya Rahnama
Master of Science
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14
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Introduction
Publications
Publications (14)
The purpose of this research was to analyze numerically the effect of adding nitrogen, hydrogen, reformer
gas and hydrogen and nitrogen mixtures on the combustion and exhaust emissions properties of a natural gas-diesel dual-fuel reactivity controlled compression ignition (RCCI) engine at different engine
loads. By using natural gas, emissions and...
In natural gas/diesel Reactivity Controlled Compression Ignition (RCCI) engines, the large reactivity gradient between the two fuels is beneficial in achieving lower pressure rise rate and peak pressure values at high loads. However, by using natural gas, combustion efficiency and engine performance suffer at low loads due to its lower reactivity a...
Nondominated sorting genetic algorithm II (NSGA-II) is well known for engine optimization problem. Artificial neural networks (ANNs) followed by multi-objective optimization including a NSGA-II and strength pareto evolutionary algorithm (SPEA2) were used to optimize the operating parameters of a compression ignition (CI) heavy-duty diesel engine. F...
Low-temperature combustion is an emerging engine technology that has the ability to yield low NOx and soot emissions while maintaining high fuel efficiency. Low-temperature combustion strategies include homogeneous charge compression ignition, premixed charge compression ignition, reactivity-controlled compression ignition and partially premixed co...
Flamelet Generated Manifold (FGM) is an example of a chemistry tabulation or a flamelet method that is under attention because of its accuracy and speed in predicting combustion characteristics. However, the main problem in applying the model is a large amount of memory required. One way to solve this problem is to apply machine learning (ML) to re...
In the Computational Fluid Dynamics (CFD) simulation of advanced combustion systems, the chemical kinetics must be examined in detail to predict the emissions and performance characteristics accurately. Nevertheless, the combustion simulation with detailed chemical kinetics is complicated because of the number of equations and a broad timescale spe...
Reactivity-controlled compression ignition (RCCI) is a promising energy conversion strategy to increase fuel efficiency and reduce nitrogen oxide (NOx) and soot emissions through improved in-cylinder combustion process. Considering the significant amount of conducted research and development on RCCI concept, the majority of the work has been perfor...
In the present study, steady double-diffusive natural convection of two-phase flow through a square enclosure filled with a fluid-saturated porous medium, in presence of the internal thermal and solutal source is investigated numerically. Darcy-Brinkman-Forchheimer model is used to describe the fluid flow in porous media. This research aims to obta...
In this paper, a numerical study is carried out to investigate the combustion and emission characteristics of reactivity controlled compression ignition (RCCI) combustion mode in a heavy-duty, single-cylinder diesel engine with gasoline and diesel fuels using KIVA-CHEMKIN code with a reduced primary reference fuel (PRF) mechanism. Firstly, a compar...
There is an environmental need both to lower emissions and to predict or model emissions more quickly and accurately. An artificial neural network was developed to predict the heavy duty diesel engine emissions and performance. The model was trained with data acquired via engine dynamometer testing. Once the artificial neural network was finalized,...
In this paper, a numerical study is performed to provide the combustion and emission characteristics resulting from fuel-reactivity controlled compression ignition (RCCI) combustion mode in a heavy-duty, single-cylinder diesel engine with gasoline and diesel fuels. In RCCI strategy in-cylinder fuel blending is used to develop fuel reactivity gradie...