Development of intelligent interpolation models based on limited and expensive CFD and FEA simulations for real-time applications

基于有限且昂贵的 CFD 和 FEA 仿真开发智能插值模型，用于实时应用

• 批准号: 478367-2015
• 负责人: Heppler, Glenn
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=579446
• 关键词: Development; intelligent; interpolation; models; based

The objective of this research project is to develop advanced and cheap-to-evaluate interpolation models that emulate the expensive computational fluid dynamics (CFD) and finite element analysis (FEA) solvers incorporated in a patented physics-based component life prediction tool called XactLIFE system developed in-house by the industrial partner (LPTi- Life Prediction Technologies Inc.). LPTi provides prognostics based life cycle management services for gas turbine engine parts utilizing the XactLIFE system. Going forward as part of a new product offering to their clients, LPTi aims to custom build the XactLIFE system for specific engines (with preselected critical parts). This would need the substitution of the CFD and FEA solvers present in the XactLIFE system with interpolation models to achieve real-time simulation and to avoid the need for embedding expensive CFD and FEA solvers in the customized engine specific XactLIFE systems. The proposed interpolation models will be developed utilizing computational intelligence techniques by the research team from the University of Waterloo in close collaboration with the technical experts and engineers from the industrial partner. The interpolation models will be trained with simulation results corresponding to a limited set of operating conditions (defining an envelop) and then they will be used to predict the results for any operating condition within the envelop in real-time. This research project will significantly impact the capability and range of application for the XactLIFE system in terms of its efficient and cost-effective applications to various industries for predictive maintenance of engine components and mechanical structures. The success of this project will enable the industrial partner to create new source of revenue generation and reach out to new clientele.

该研究项目的目标是开发先进且易于评估的插值模型，以模拟昂贵的计算流体动力学（CFD）和有限元分析（FEA）求解器，并将其整合到工业合作伙伴（LPTi-寿命预测技术公司）内部开发的基于物理的元件寿命预测工具XactLIFE系统中。LPTi利用XactLIFE系统为燃气涡轮发动机部件提供基于预测的生命周期管理服务。作为向客户提供新产品的一部分，LPTi的目标是为特定的发动机定制构建XactLIFE系统（预先选择关键部件）。这将需要用插值模型代替XactLIFE系统中的CFD和FEA求解器来实现实时仿真，并避免需要