技术
- 传感器 - 流量计
- 传感器 - 液体检测传感器
适用行业
- 水泥
- 可再生能源
适用功能
- 产品研发
- 质量保证
用例
- 最后一英里交付
- 网状网络
服务
- 测试与认证
关于客户
本案例研究的客户是加拿大卡尔顿大学的旋翼机研究小组。该小组由三名全职教职人员领导,雇用约 15 名研究生和工作人员。他们的主要研究项目是SHARCS项目,旨在证明主动控制的“智能”直升机旋翼的概念,以同时减少噪音和振动。该小组在设计过程中广泛采用基于欧拉和纳维-斯托克斯方程的 CFD 流动求解器。风洞测试成本高昂,需要在施工和测试之前进行详细调查。
挑战
卡尔顿大学旋翼机研究小组整合了旋翼机空气动力学、气动弹性、气动声学、叶片动力学和智能结构等方面的研究工作,在研究过程中面临着重大挑战。该小组的主要研究项目 SHARCS 项目旨在证明主动控制“智能”直升机旋翼的概念,以同时减少噪音和振动。这需要使用复杂的 CFD 模拟,可能需要数周的计算时间。该求解器需要具有先进网格分布的高质量结构化多块六面体网格。然而,创建这些先进的网格是一项困难且耗时的任务。如果每个学生都必须为正在研究的每个变体手动创建网格,这将极大地限制研究潜力和质量。面临的挑战是消除研究人员的手动六角网格划分负担,从而最大限度地提高他们的研究潜力和质量。
解决方案
ANSYS ICEM CFD 先进的全功能脚本为这一挑战提供了解决方案。该团队能够开发出一个程序,可以生成机翼或机翼的几何形状和网格划分脚本。用户将为每个机翼站提供流动参数和翼型坐标,并且程序将编写用于几何和网格创建的重放脚本。只需点击几下鼠标即可生成优化的结构化网格。该解决方案显着减少了研究人员为其模拟创建必要网格所需的时间和精力。它使他们能够更加专注于研究,从而提高工作的质量和潜力。
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