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Featured researches published by Amer.


Journal of Energy Resources Technology-transactions of The Asme | 2016

Numerical Simulations of Hollow-Cone Injection and Gasoline Compression Ignition Combustion With Naphtha Fuels

Jihad Badra; Jaeheon Sim; A.E. Elwardany; Mohammed Jaasim; Yoann Viollet; Junseok Chang; Amer Amer; Hong G. Im

We acknowledge the help and support from Saurav Mitra and Sarangarajan Vijayraghavan from Convergent Science, Inc. (CSI). This work was sponsored by the Fuel Technology Division at Saudi Aramco R&DC. The work at King Abdullah University of Science and Technology (KAUST) was funded by KAUST and Saudi Aramco under the FUELCOM program.


SAE International Powertrains, Fuels and Lubricants Meeting | 2011

Multi-Objective Optimization of a Kinetics-Based HCCI Model Using Engine Data

Ali Aldawood; Sebastian Mosbach; Markus Kraft; Amer Amer

A multi-objective optimization scheme based on stochastic global search is developed and used to examine the performance of an HCCI model containing a reduced chemical kinetic mechanism, and to study interrelations among different model responses. A stochastic reactor model of an HCCI engine is used in this study, and dedicated HCCI engine experiments are performed to provide reference for the optimization. The results revealed conflicting trends among objectives normally used in mechanism optimization, such as ignition delay and engine cylinder pressure history, indicating that a single best combination of optimization variables for these objectives does not exist. This implies that optimizing chemical mechanisms to maintain universal predictivity across such conflicting responses will only yield a predictivity tradeoff. It also implies that careful selection of optimization objectives increases the likelihood of better predictivity for these objectives. This may have a particular importance in those practical applications where a high degree of predictivity for a limited number of responses is needed, but only a reasonable computational expense can be afforded. These insights are utilized here to develop a highly predictive HCCI model of engine cylinder pressure history, and to evaluate the model’s ability to predict exhaust emissions. The insight provided by multi-objective optimization on the interplay among different model responses could be of great help for guiding mechanism reduction process and for customizing models based on specific needs.


Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development | 2015

Numerical Simulations of Hollow Cone Injection and Gasoline Compression Ignition Combustion With Naphtha Fuels

Jihad Badra; Jaeheon Sim; A.E. Elwardany; Mohammed Jaasim; Yoann Viollet; Junseok Chang; Amer Amer; Hong G. Im

Gasoline compression ignition (GCI), also known as partially premixed compression ignition (PPCI) and gasoline direct injection compression ignition (GDICI), engines have been considered an attractive alternative to traditional spark ignition engines. Lean burn combustion with the direct injection of fuel eliminates throttle losses for higher thermodynamic efficiencies, and the precise control of the mixture compositions allows better emission performance such as NOx and particulate matter (PM). Recently, low octane gasoline fuel has been identified as a viable option for the GCI engine applications due to its longer ignition delay characteristics compared to diesel and lighter evaporation compared to gasoline fuel [1]. The feasibility of such a concept has been demonstrated by experimental investigations at Saudi Aramco [1, 2]. The present study aims to develop predictive capabilities for low octane gasoline fuel compression ignition engines with accurate characterization of the spray dynamics and combustion processes. Full three-dimensional simulations were conducted using CONVERGE as a basic modeling framework, using Reynolds-averaged Navier-Stokes (RANS) turbulent mixing models. An outwardly opening hollow-cone spray injector was characterized and validated against existing and new experimental data. An emphasis was made on the spray penetration characteristics. Various spray breakup and collision models have been tested and compared with the experimental data. An optimum combination has been identified and applied in the combusting GCI simulations. Linear instability sheet atomization (LISA) breakup model and modified Kelvin-Helmholtz and Rayleigh-Taylor (KH-RT) break models proved to work the best for the investigated injector. Comparisons between various existing spray models and a parametric study have been carried out to study the effects of various spray parameters. The fuel effects have been tested by using three different primary reference fuel (PRF) and toluene primary reference fuel (TPRF) surrogates. The effects of fuel temperature and chemical kinetic mechanisms have also been studied. The heating and evaporative characteristics of the low octane gasoline fuel and its PRF and TPRF surrogates were examined.Copyright


Combustion and Flame | 2012

A reaction mechanism for gasoline surrogate fuels for large polycyclic aromatic hydrocarbons

Abhijeet Raj; Iran D. Charry Prada; Amer Amer; Suk Ho Chung


SAE International journal of engines | 2013

Vehicle Demonstration of Naphtha Fuel Achieving Both High Efficiency and Drivability with EURO6 Engine-Out NOx Emission

Junseok Chang; Gautam Kalghatgi; Amer Amer; Philipp Adomeit; Hans Rohs; Benedikt Heuser


SAE International Journal of Fuels and Lubricants | 2012

Fuel Effects on Knock in a Highly Boosted Direct Injection Spark Ignition Engine

Amer Amer; Hassan Babiker; Junseok Chang; Gautam Kalghatgi; Philipp Adomeit; Adrien Brassat; Marco Günther


SAE/KSAE 2013 International Powertrains, Fuels & Lubricants Meeting | 2013

Fuel Economy Potential of Partially Premixed Compression Ignition (PPCI) Combustion with Naphtha Fuel

Junseok Chang; Yoann Viollet; Amer Amer; Gautam Kalghatgi


SAE International Journal of Fuels and Lubricants | 2011

Butanol Blending - A Promising Approach to Enhance the Thermodynamic Potential of Gasoline - Part 1

T. Niass; Amer Amer; W. Xu; S. R. Vogel; K. Krebber-Hortmann; P. Adomeit; Adrien Brassat


SAE International Journal of Fuels and Lubricants | 2014

An Alternative Method Based on Toluene/n-Heptane Surrogate Fuels for Rating the Anti-Knock Quality of Practical Gasolines

Gautam Kalghatgi; Robert Head; Junseok Chang; Yoann Viollet; Hassan Babiker; Amer Amer


Fuel | 2016

Revisiting diesel fuel formulation from Petroleum light and middle refinery streams based on optimized engine behavior

Arij Ben Amara; Roland Dauphin; Hassan Babiker; Yoann Viollet; Junseok Chang; Nicolas Jeuland; Amer Amer

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A.E. Elwardany

King Abdullah University of Science and Technology

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Hong G. Im

King Abdullah University of Science and Technology

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Jaeheon Sim

King Abdullah University of Science and Technology

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Mohammed Jaasim

King Abdullah University of Science and Technology

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