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.

Abstract
1. 서 론
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. 결 론
후 기
References

• 임동균(Professor, Dept. of Aeronautical & Mechanical Engineering, Cheongju Univ) | Dong Kyun Im Corresponding author