• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Prediction of blowdown of a pressure relief valve using response surface methodology and CFD techniques
【24h】

Prediction of blowdown of a pressure relief valve using response surface methodology and CFD techniques

机译：使用响应表面方法和CFD技术预测减压阀排污

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this study, parametric assessment of the main geometric design features of a pressure relief valve (PRV) with a backpressure chamber and two adjusting rings was conducted using response surface methodology. This design approach was established by using computational fluid dynamics (CFD) to model the dynamic performance of the opening and closing of a nuclear power main steam pressure relief valve (NPMS PRV). An experimental facility was established to test the NPMS PRV in accordance with the standard ASME PTC 25, and to validate the CFD model. It was found that the model can accurately simulate the dynamic performance of the NPMS PRV; the difference in blowdown between the simulation and experiment results is found to be below 0.6%. Thus, the model can be used as part of a design analysis tool. The backpressure chamber assisted in the resealing and decreased the blowdown of the NPMS PRV from 18.13% to 5.50%. The sensitivity to valve geometry was investigated, and an explicit relationship between blowdown and valve geometry was established (with a relative error less than 1%) using the response surface methodology; this will allow designers to assess the valve settings without the need for a CFD model.
机译：在该研究中，使用响应表面方法进行了具有背压室和两个调节环的减压阀（PRV）的主要几何设计特征的参数评估。通过使用计算流体动力学（CFD）建立这种设计方法，以模拟核电主蒸汽压力泄压阀（NPMS PRV）的开启和关闭的动态性能。建立了一个实验设施，以根据标准ASME PTC 25测试NPMS PRV，并验证CFD模型。发现该模型可以准确地模拟NPMS PRV的动态性能;发现模拟和实验结果之间的排污差异低于0.6％。因此，该模型可以用作设计分析工具的一部分。背压室辅助重新密封并降低NPMS PRV的排污从18.13％至5.50％。研究了对瓣膜几何形状的敏感性，使用响应表面方法建立了排污和瓣膜几何形状的明确关系（相对误差小于1％）;这将允许设计人员在不需要CFD模型的情况下评估阀门设置。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号