首页> 外文会议>Annual Vertical Flight Society forum and technology display >Prediction of Rotor Hub Flow Using Mercury Framework
【24h】

Prediction of Rotor Hub Flow Using Mercury Framework

机译:使用Mercury框架预测转子轮毂流量

获取原文

摘要

In this paper, interactional aerodynamics between rotor hubs and a horizontal stabilizer are predicted using a multi-mesh paradigm, heterogeneous CPU-GPU framework, Mercury. Mercury framework incorporates three flow solvers at the University of Maryland, 1) OverTURNS, a structured solver on CPUs, 2) HAMSTR, a line based unstructured solver on CPUs, and 3) GARFIELD, a structured solver on GPUs, through an overset grid assembler, TIOGA. Simulations are performed for Penn State University Phase HI and low-drag hubs with a far-wake stabilizer, and results arc compared against the water tunnel test data including drag coefficient of the hubs, lift coefficient of the stabilizer, and time-averaged velocity wake profiles.
机译:在本文中,使用多网格范例,异构CPU-GPU框架Mercury预测了转子轮毂和水平稳定器之间的相互作用空气动力学。 Mercury框架在马里兰大学整合了三个流求解器,1)OverTURNS,CPU上的结构化求解器,2)HAMSTR,CPU上的基于行的非结构化求解器,3)GARFIELD,GPU上的结构化求解器,是通过可重置的网格汇编器实现的,蒂奥加(TIOGA)。对宾夕法尼亚州立大学HI阶段和带有远方稳定器的低阻力轮毂进行了仿真,并将结果与​​水隧道测试数据进行了比较,包括轮毂的阻力系数,稳定器的升力系数和时均速度尾流个人资料。

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