TY - GEN
T1 - Numerical Optimization of a Trapezoidal Labyrinth Seal for Pulsed Compression Reactor (PCR)
AU - Alcázar, Hermann E.
AU - Velasquez, Briam R.
AU - Castillo, César P.
AU - Alcázar, Leopoldo O.
N1 - Publisher Copyright:
© 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2021
Y1 - 2021
N2 - A sealing system using labyrinth seal is proposed to minimize gas leaks in a Pulsed Compression Reactor, for which the geometric parameters of trapezoidal shape are evaluated. The set of parameters was optimized by minimizing gas leaks, using the Multiobjective Genetic Algorithm with the Genetic Aggregation method, which performs a regression model with the data generated by the correlation of parameters. The CFD simulation evaluates gas leakage for the given geometry and constant boundary conditions, inlet pressure 10 MPa, piston velocity 25 m/s, 35° cavity angle and 150 mm piston length. The values in the input set have been reduced to manufacturable quantities. The analysis of the velocity behavior shows a sudden increase in velocity in the final part of the cavity, and consequently, the turbulence kinetic energy presents peaks in that area. The most sensitive parameters are the gap between the piston and cylinder, and the width of the cavity. The minimum flow leakage is 0.001024 kg/s with a gap of 30 µm. When comparing between the smooth and grooved piston, there are regions where having a smooth surface is better than grooving it. In general, over a threshold gap-value of 150 µm is better to use a piston with labyrinth seals. For a gap of 250 µm the leakage flow was 0.301391 kg/s this represents a decrease of 34% compared to a smooth piston.
AB - A sealing system using labyrinth seal is proposed to minimize gas leaks in a Pulsed Compression Reactor, for which the geometric parameters of trapezoidal shape are evaluated. The set of parameters was optimized by minimizing gas leaks, using the Multiobjective Genetic Algorithm with the Genetic Aggregation method, which performs a regression model with the data generated by the correlation of parameters. The CFD simulation evaluates gas leakage for the given geometry and constant boundary conditions, inlet pressure 10 MPa, piston velocity 25 m/s, 35° cavity angle and 150 mm piston length. The values in the input set have been reduced to manufacturable quantities. The analysis of the velocity behavior shows a sudden increase in velocity in the final part of the cavity, and consequently, the turbulence kinetic energy presents peaks in that area. The most sensitive parameters are the gap between the piston and cylinder, and the width of the cavity. The minimum flow leakage is 0.001024 kg/s with a gap of 30 µm. When comparing between the smooth and grooved piston, there are regions where having a smooth surface is better than grooving it. In general, over a threshold gap-value of 150 µm is better to use a piston with labyrinth seals. For a gap of 250 µm the leakage flow was 0.301391 kg/s this represents a decrease of 34% compared to a smooth piston.
KW - Ansys fluent
KW - CFD simulation
KW - Pulsed compression reactor
KW - Trapezoidal labyrinth seals
UR - http://www.scopus.com/inward/record.url?scp=85122026840&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2021.1.1.347
DO - 10.18687/LACCEI2021.1.1.347
M3 - Conference contribution
AN - SCOPUS:85122026840
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Zapata Rivera, Luis Felipe
A2 - Aranzazu-Suescun, Catalina
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021
Y2 - 19 July 2021 through 23 July 2021
ER -