Multidisciplinary Design Methodology for Micro-Gas-Turbines - Part II: System Analysis and Optimization

Lukas Badum, B. Cukurel
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Abstract

Owing to their high specific energy capabilities, ultra micro gas turbines (UMGT) are a high-potential technology to provide portable electric power supply for applications with demand of less than 1 kW. UMGT conceptual design is challenged by small-scale effects augmenting interdisciplinary dependencies leading to highly coupled, non-linear component interactions. This work provides a novel approach to conceptual UMGT design by combining reduced order component and system modelling with constrained multi-objective optimization. Hereby, Part I presents integrated design and performance modelling of compressor, turbine, combustor and generator. In Part II, the heat engine and generator modules are merged into a system framework by establishing conceptual UMGT rotor geometry and engine design. Following bearing selection and lifetime assessment, experimentally validated reduced order models are developed for heat transfer and rotordynamic analysis. Using the elaborated framework, a constrained multi-objective system optimization of a 300W engine is performed based on ten design parameters and comparing SiAlON and Inconel 718 as potential rotor materials available for additive manufacturing. Hereby, bearing lifetime, system efficiency and specific power are maximized while meeting rotordynamic, structural and thermal requirements. Evaluating the results, interdisciplinary effects are highlighted, and two optimum engine configurations are suggested.
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微型燃气轮机多学科设计方法--第二部分:系统分析与优化
超微型燃气轮机(UMGT)具有很高的比能量,是一种为需求小于 1 千瓦的应用提供便携式电力供应的高潜力技术。超微型燃气轮机的概念设计面临着小尺度效应和跨学科依赖性的挑战,这导致了高度耦合的非线性组件相互作用。本研究通过将低阶组件和系统建模与受限多目标优化相结合,为 UMGT 概念设计提供了一种新方法。因此,第一部分介绍了压缩机、涡轮机、燃烧器和发电机的综合设计和性能建模。在第二部分中,通过建立概念性 UMGT 转子几何和发动机设计,将热机和发电机模块合并为一个系统框架。在轴承选择和寿命评估之后,为传热和旋转动力学分析开发了经过实验验证的减阶模型。利用精心设计的框架,基于十个设计参数对 300W 发动机进行了约束性多目标系统优化,并将 SiAlON 和 Inconel 718 作为可用于增材制造的潜在转子材料进行了比较。因此,在满足旋转动力、结构和热要求的同时,轴承寿命、系统效率和比功率都达到了最大化。评估结果突出了跨学科效应,并提出了两种最佳发动机配置。
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