This study presents an open-source aero-stealth design exploration framework for a low-observable cranked-lambda delta-wing UAV. Inboard and outboard leading-edge sweep angles are used as design variables, while an upper bound on an average radar cross section metric is imposed as a constraint. Aerodynamic performance is evaluated with OpenVSP and VSPAERO by computing lift-to-drag ratio over an angle-of-attack range. Stealth performance is assessed with PyPOFacets electromagnetic scattering analysis to estimate average RCS over multiple observation directions. The analyses are coupled through an automated workflow that shares a single geometry definition and consistently aggregates objectives and constraints, reducing errors from manual file handling and data conversion. A multi-objective optimization loop executed in RCE maps trade-offs and generates candidate designs for conceptual-stage decision making.
목차
Abstract 1. 서론 2. 분석 도구 2.1 Remote Component Environment (RCE) 2.2 OpenVSP 2.3 레이더 단면적 계산 프로그램 3. 설계 및 최적화 3.1 참조모델 3.2 공력 해석 3.3 레이더 단면적 해석 3.4 RCE 프레임워크 3.5 최적화 결과 4. 결론 후기 References