Leakage and Rotordynamic Stability Optimization of Labyrinth Seals.
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| Title: | Leakage and Rotordynamic Stability Optimization of Labyrinth Seals. |
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| Authors: | Lee, Jeongin1 (AUTHOR), Kim, Hee-Seok2 (AUTHOR), Suh, Junho3 (AUTHOR) junhosuh@pnu.edu, Kim, Jong-Hyoung4 (AUTHOR) jongkim@kitech.re.kr |
| Source: | Tribology Transactions. Jan/Feb2026, Vol. 69 Issue 1, p1-13. 13p. |
| Subjects: | Rotor dynamics, Multi-objective optimization, Multidisciplinary design optimization, Gaskets, Fluid flow, Cost functions |
| Abstract: | This study aimed to design a labyrinth seal that optimizes both sealing performance and rotordynamic stability. The leakage flow rate and dynamic characteristics of the labyrinth seal were evaluated using a bulk flow model. The dynamic properties of the seal and bearings were incorporated into the rotordynamic analysis via linearized stiffness and damping coefficients. The design variables included the cavity geometry and inlet swirl ratio, accounting for the effect of inlet swirl velocity. Rotordynamic stability was evaluated using the amplification factor, separation margin, logarithmic decrement, and unbalanced response. An in-house code was developed to conduct a stability analysis of the rotor system, considering the geometry and dynamic characteristics of the labyrinth seals. A multiobjective genetic algorithm (MOGA) was utilized to design the labyrinth seal, considering various objective functions. The Pareto front of the optimal geometry at various inlet pressures demonstrated a tradeoff between the leakage flow and rotordynamic stability. Compared to the traditional full-factorial design method, the MOGA-based design method achieved optimal designs with a significantly reduced computational cost, exploring only 0.012% of the entire design space. Despite this, the method yielded a Pareto front comparable to the nondominated solutions of the traditional optimization method. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | This study aimed to design a labyrinth seal that optimizes both sealing performance and rotordynamic stability. The leakage flow rate and dynamic characteristics of the labyrinth seal were evaluated using a bulk flow model. The dynamic properties of the seal and bearings were incorporated into the rotordynamic analysis via linearized stiffness and damping coefficients. The design variables included the cavity geometry and inlet swirl ratio, accounting for the effect of inlet swirl velocity. Rotordynamic stability was evaluated using the amplification factor, separation margin, logarithmic decrement, and unbalanced response. An in-house code was developed to conduct a stability analysis of the rotor system, considering the geometry and dynamic characteristics of the labyrinth seals. A multiobjective genetic algorithm (MOGA) was utilized to design the labyrinth seal, considering various objective functions. The Pareto front of the optimal geometry at various inlet pressures demonstrated a tradeoff between the leakage flow and rotordynamic stability. Compared to the traditional full-factorial design method, the MOGA-based design method achieved optimal designs with a significantly reduced computational cost, exploring only 0.012% of the entire design space. Despite this, the method yielded a Pareto front comparable to the nondominated solutions of the traditional optimization method. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10402004 |
| DOI: | 10.1080/10402004.2025.2479061 |
