Numerical Study on Prediction of Icing Phenomena in Fresh Air and Blow-by Gas Mixing Region of Diesel Engine under High Velocity of Intake Air Condition

Wonjun Yoon, Jeong-Won Lee and Jungsoo Park ()
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Wonjun Yoon: Graduate School, Department of Mechanical Engineering, Chosun University, Gwangju 61452, Republic of Korea
Jeong-Won Lee: Department of Mechanical Engineering, Chosun University, Gwangju 61452, Republic of Korea
Jungsoo Park: Department of Mechanical Engineering, Chosun University, Gwangju 61452, Republic of Korea

Energies, 2024, vol. 17, issue 7, 1-15

Abstract: The icing of an intake pipe that might happen in an actual vehicle was numerically predicted in this study. For various operating conditions, the amount of icing was estimated, and the variables influencing the amount of icing were identified. We compared the factors that affected icing: relative humidity, air temperature, and inlet velocity. Seven RPM and load conditions, an intake temperature range of 253–268 K, and a relative humidity range of 65–85% were used for the case studies. To verify the model accuracy, wind tunnel test results from chassis dynometer tests were compared to the data from simulations. The flow analysis was performed using the numerical analytical tool ANSYS Fluent (2019 R1), while the amount of condensed water and icing was predicted using FENSAP-ICE, a program that analyzes and predicts icing phenomena under mechanical systems. The ambient temperature, relative humidity, and inlet air velocity had the biggest effects on the icing rate. The total amount of icing increased for similar BB and input air velocities. When the input air and BB velocities are the same, the variables influencing icing are the ambient temperature and relative humidity. The amount of ice was less affected by outside temperature and relative humidity when the rpm was high, and the inlet air velocity also had an impact.

Keywords: blow-by gas; low-pressure exhaust gas recirculation; condensation; icing; PTC heater (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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