실험 데이터 기반 마이크로 가스터빈 엔진 구성품의 성능맵 도출 연구

초록

Performance maps of micro gas turbine engines are difficult to access due to manufacturer confidentiality and limited component-level data. Although scaling techniques using public maps and operating data can provide high prediction accuracy, individual engine performance may vary due to manufacturing tolerances and operating conditions. In this study, integrated tests were conducted on a 300-N-class micro gas turbine with varying nozzle exit areas to derive component performance maps. Off-design performance predictions using the derived maps were compared with experimental results, showing errors within 3.5% and thereby validating the proposed performance map derivation method.

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