Pourya Rahnama

Pourya Rahnama
  • Master of Science
  • PhD Student at Eindhoven University of Technology

About

15
Publications
17,360
Reads
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873
Citations
Current institution
Eindhoven University of Technology
Current position
  • PhD Student

Publications

Publications (15)
Article
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...
Article
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
For computational fluid dynamic (CFD) modeling of advanced combustion engines, the cylinder is usually considered a closed system in which the initial conditions are estimated based on the experimental data. Most of these approximations hinder observing the effect of design parameters on engine performance and emissions accurately, and most studies...
Article
Full-text available
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...
Article
Full-text available
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...
Article
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...
Article
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...
Article
Full-text available
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...
Conference Paper
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,...
Article
Full-text available
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...

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