CFD Based Investigation of Effects of Liquid Contamination on Dry Gas Seal Performance

Abhay V. Patil, Aaron M. Rimpel, R. Kurz
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Abstract

Previous studies identified liquid contamination as a major root cause of dry gas seal (DGS) failures and highlighted the need for model development to simulate the liquid-gas interaction and its effect on DGS operation. The current study presents Computational Fluid Dynamics (CFD) based performance prediction of a DGS under single-phase (gas) and two-phase (gas-liquid) flow conditions. The presented numerical model includes the conjugate heat transfer (CHT) analysis for the three pressure conditions at a constant rotational speed. Initial modeling involved the qualification of different turbulent models by analyzing and comparing leakage flow, torque, and temperature distribution. The two-phase CFD model employs the Eulerian approach to predict the oil distribution and modified pressure and temperature predictions. Two-phase flow simulations focused on improving the understanding of oil distribution as a function of droplet size at the imposed inlet volume fraction and the consequential effect on the seal performance parameters. The presence of liquid causes localized pressure and temperature change while flow transitions from the cavity to the seal area. Also, two-phase interaction due to oil presence increases heat generation and consequential temperature rise in the pressure dam region. Overall, the systematic variation in performance parameters with liquid fraction provides greater insight into DGS performance, also laying out a path for establishing an incipient failure mechanism that will be validated in future testing.
基于CFD的液体污染对干气密封性能影响研究
之前的研究认为,液体污染是导致干气密封失效的主要根本原因,并强调需要开发模型来模拟液气相互作用及其对DGS运行的影响。本研究提出了基于计算流体力学(CFD)的单相(气)和两相(气-液)流动条件下DGS性能预测方法。所建立的数值模型包含了恒转速下三种压力条件下的共轭传热分析。初始建模包括通过分析和比较泄漏流量、扭矩和温度分布来确定不同的湍流模型。两相CFD模型采用欧拉方法预测原油分布,并修正了压力和温度预测。两相流模拟的重点是提高对进口体积分数下油滴尺寸的函数分布及其对密封性能参数的影响的理解。当流体从腔体过渡到密封区域时,液体的存在会引起局部压力和温度的变化。此外,由于油的存在,两相相互作用增加了压力坝区域的热量产生和相应的温度升高。总体而言,性能参数随液体组分的系统性变化可以更好地了解DGS的性能,也为建立早期失效机制奠定了基础,并将在未来的测试中进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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