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Enhancing Microturbine Efficiency with IoT: A Case Study of Connecticut Reserve Technologies
技术
- 基础设施即服务 (IaaS) - 云中间件与微服务
- 传感器 - 电导率传感器
适用行业
- 电网
- 生命科学
适用功能
- 产品研发
用例
- 结构健康监测
服务
- 系统集成
挑战
康涅狄格储备技术公司 (CRT) 在开发用于紧凑型热电联产机组的微型涡轮机时面临着重大挑战。这些装置旨在为制造工厂和其他设施提供经济可靠的电力，依赖于氮化硅等先进结构陶瓷。虽然这些陶瓷允许微型涡轮机在比传统金属合金更高的温度下运行，从而显着节省燃料和减少排放，但它们的断裂强度也表现出很大的变化。当考虑到各种表面处理造成的固有缺陷时尤其如此。面临的挑战是考虑这些复杂的统计强度分布，以便更准确地预测预期部件寿命。另一个挑战是定义和实施一种方法，根据特定组件为氮化硅供应商建立威布尔分布指标。这需要将转子叶片的各种处理表面的使用应力状态与规定的部件可靠性相结合，以制定材料性能曲线。
关于客户
Connecticut Reserve Technologies, LLC (CRT) 是一家位于美国的工程咨询公司。他们专注于分布式电力系统的开发，特别关注用于紧凑型热电联产机组的微型涡轮机。这些装置旨在为制造工厂和其他设施提供现场电力，为公用事业线路提供经济可靠的替代方案。 CRT 的工作通常涉及使用先进的结构陶瓷，例如氮化硅，它允许微型涡轮机在比传统金属合金更高的温度下运行。这可以显着节省燃料并减少排放。 CRT 的工作通常在美国能源部的分布式能源计划下进行。
解决方案
CRT 利用 ANSYS Structural 分析软件来应对这些挑战。通过使用 ANSYS 参数化设计语言 (APDL)，可以识别具有指定表面处理的转子部件表面，查询 ANSYS 结果文件，并将应力映射到相关单元表面。然后使用 CRT WeibPar 算法分析故障数据。 CARES 算法使用 ANSYS 生成的信息（几何形状和应力状态）计算组件可靠性。 ANSYS 技术的开放性以及与其他软件集成的便利性使得 ANSYS、CARES 和 WeibPar 程序能够以平稳高效的方式协同运行。该解决方案允许开发可缩放至标准陶瓷弯杆测试样本的材料性能曲线，从而使材料供应商更容易理解组件要求。
运营影响
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