Authors:
Foad Vashahi
1
;
Sothea Ra
1
;
Yong Choi
2
and
Jeekeun Lee
1
Affiliations:
1
Chonbuk National University, Korea, Republic of
;
2
Rural Development Administration and Farming Automation Division, Korea, Republic of
Keyword(s):
CFD, VOF Model, Two-Phase Flow, Air Induction Nozzle (AIN), Drift Reduction.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Case Studies
;
Complex Systems Modeling and Simulation
;
Computer Simulation Techniques
;
Fluid Dynamics
;
Formal Methods
;
Health Engineering and Technology Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Laboratory Simulation Software
;
Multiscale Simulation
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Performance Analysis
;
Planning and Scheduling
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Symbolic Systems
Abstract:
The two phase flow parametric study on the air induction nozzle is presented with water and air as working fluid where liquid was supplied at the pre-orifice with various inlet pressures ranged from 3 to 6 bar. The interaction between air and water at molecular level at the orifice exit leads to forming a strong shear layer intensified with increase in inlet pressure. Mean diameter and void fraction in each bubble and their individual shapes is adjusted prior to the desired criteria. Thus, it is vital to regulate the ratio of intake air to the supplied liquid so that the generated micro bubbles fit the design criteria. CFD analysis was accompanied via commercial software STAR CCM+ from cd-adapco and validated against experimental data to find the most appropriate turbulence model. Then, the chosen model is used to investigate design parameters and their effect on the desired parameters. A volume of fluid (VOF) method of RANS models used to undertake the air-water interaction. Results
of such comparison revealed minor priority of the Realizable k-ε to the k-ω model. In addition, the unsteady state solution presented remarkable predictions in compare to that of steady state solution in particular predicting air behaviour.
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