Python-based turbofan cycle, performance, off-design and emissions modelling with ICAO reference data comparisons and statistical analysis.
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Updated
Sep 10, 2026 - Python
Python-based turbofan cycle, performance, off-design and emissions modelling with ICAO reference data comparisons and statistical analysis.
Gas turbine engine performance from first principles in Python/NumPy: ISA and compressible flow, ideal and real Brayton cycles, a two-spool turbofan, off-design matching (N1, N2, EGT, fuel flow) and trade studies. Validated against closed forms and ICAO/EASA data for the CFM56-7B and LEAP-1B, with a seven-lesson course.
Repository for cycle and off-design performance tool.
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