PREDICTIONS OF THE SPRAY CHARACTERISTICS OF MODEL GASOLINE, ETHANOL AND ETHANOL-IN GASOLINE FUEL BLENDS
Journal Title: Engineering and Technology Journal - Year 2022, Vol 7, Issue 2
Abstract
This paper presents predictions of spray characteristics of model gasoline, ethanol gasoline-ethanol fuel blends. Fuel breakup models and correlations between flow patterns and droplet characteristics were adopted and implemented in OpenFOAM Computational Fluid Dynamics (CFD) modeling suite l for direct gasoline injector using a simple cylindrical mesh structure at constant volume. The Rosin Rammler distribution model was used to generate the number of spray particles injected into the cylinder. The spray modeling and atomization employed the use of blob sheet model and KH-RT model while the numerical technique for simulating atomization process by CFD included the use of governing equations such as Eulerian for gas phase, Lagrangian for disperse phase and turbulence modeling. Spray evolution at various energizing times particle density and The Sauter Mean Diameter (SMD) relationships and particle size distribution were studied in simulation mode. The results showed that with longer injection time frame and wider injection angle, the penetration width was wider and the penetration length deeper (longer) resulting in better atomization. Concerning particle density and its distribution, as number of particle increased, the density of clusters became smaller.
Authors and Affiliations
P . N. Josiah, I. Altraide , J. G. Akpa, O. M. O. Etebu,
Efficient Use of Water under Irrigation Management Practices for Surface Irrigated Rice
With the continuous climate change we are experiencing; extreme heat, drought, and declining water supplies that affect our rain fed and irrigation systems resulting to a higher demand for water for evaporation and evapo...
The role of administrative process engineering in improving project management stages: A survey of the opinions of a sample of employees in the Ibn Majid General company
This study is concerned with the role played by administrative process engineering and its most significant dimensions—technology, strategy, and employees—in enhancing project management. This study aims at ascertaining...
A Comparative Analysis of LSTM, ARIMA, XGBoost Algorithms in Predicting Stock Price Direction
This research report presents a comprehensive investigation into the prediction of Google's stock prices using advanced machine-learning techniques. The study focuses on assessing the predictive capabilities of three dis...
COMPOSITIONAL AND STRUCTURAL ANALYSIS OF SELECTED CROP RESIDUES AND POTENTIAL APPLICATIONS
Population growth, increased food production and consumption, and industrialization have increased the number of crop residues generated in contemporary times. Inappropriate disposal of crop residues pollutes the atmosph...
Analyzing Road Images for Pothole Detection through Machine Learning Algorithms: A Comprehensive Review
The road accident prediction system leverages deep learning techniques, specifically YOLO (You Only Look Once), for the detection of potholes in road footage. By employing YOLO, the system can efficiently identify and lo...