Using Artificial Intelligence to study variations in gas turbine performance.

使用人工智能研究燃气轮机性能的变化。

• 批准号: 2453528
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2453528
• 关键词: Using; Artificial; Intelligence; study; variations

Artificial Intelligence (AI) allows the rapid processing of images. In the context of gas turbines this means that scans and video imaging of engine parts could be automatically assessed for variations in shape that can have significant impact of fuel consumption and engine life. In this project, data from Rolls-Royce will be combined with the latest AI and data mining tools, CAD descriptions, geometry morphing and 3D analysis codes to inform engineers on the impact of variations in geometry on engine performance. The aim is both to design parts that are more resistant to performance degradation and also to inform service teams of the best repair and replacement strategies for engines currently in use.

人工智能(AI)允许快速处理图像。在燃气轮机方面，这意味着发动机部件的扫描和视频成像可以自动评估形状的变化，这些变化可能会对燃油消耗和发动机寿命产生重大影响。在这个项目中，来自劳斯莱斯的数据将与最新的人工智能和数据挖掘工具、CAD描述、几何变形和3D分析代码相结合，以告知工程师几何形状的变化对发动机性能的影响。这样做的目的既是为了设计更能抵抗性能下降的部件，也是为了让服务团队了解当前使用的发动机的最佳维修和更换策略。