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aerospace-engineering

Aerospace engineering fundamentals including aerodynamics, propulsion, flight dynamics, spacecraft dynamics, and structural analysis for aerospace applications.

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Quellinformationen

Repository
NeuralBlitz/Agent-Gateway
Letzte Quellaktivität
9. April 2026 um 10:58
Erkannte Sprache von SKILL.md
Englisch
Sterne
1
Forks
0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
Aerospace Engineering
description
Aerospace engineering fundamentals including aerodynamics, propulsion, flight dynamics, spacecraft dynamics, and structural analysis for aerospace applications.
license
MIT
compatibility
python>=3.8
audience
aerospace-engineers, researchers, students
category
engineering
# Aerospace Engineering ## What I Do I provide comprehensive aerospace engineering tools including aerodynamic analysis, propulsion systems, flight dynamics, orbital mechanics, and aerospace structures for aerospace applications. ## When to Use Me - Aerodynamic performance analysis - Propulsion system design - Aircraft performance calculations - Orbital trajectory analysis - Structural analysis - Stability and control ## Core Concepts - **Aerodynamics**: Lift, drag, boundary layers - **Propulsion**: Jet engines, rockets, efficiency - **Flight Dynamics**: Equations of motion, stability - **Orbital Mechanics**: Kepler's laws, Hohmann transfers - **Propulsion**: Thrust, specific impulse, mass flow - **Aircraft Performance**: Range, endurance, climb - **Structural Analysis**: Loads, fatigue, aeroelasticity - **Avionics**: Navigation, control systems ## Code Examples ### Aerodynamics ```python import numpy as np def dynamic_pressure(q, rho, V): return 0.5 * rho * V**2 def lift_coefficient(CL_alpha, alpha, alpha0): return CL_alpha * (alpha - alpha0) def induced_drag_coefficient(CL, e, AR): return CL**2 / (np.pi * e * AR) def drag_polar(CD0, K, CL): return CD0 + K * CL**2 def reynolds_number(rho, V, L, mu): return rho * V * L / mu def mach_number(V, a): return V / a def skin_friction_coefficient(Re, Cf_formula='schlichting'): if Cf_formula == 'schlichting': return 0.455 / np.log10(Re)**2.58 return 0.074 / Re**0.2 rho = 1.225 # kg/m³ V = 250 # m/s L = 5 # m mu = 1.81e-5 # Pa·s Re = reynolds_number(rho, V, L, mu) print(f"Reynolds number: {Re:.2e}") M = mach_number(V, 343) print(f"Mach number: {M:.3f}") ``` ### Propulsion ```python def thrust_force(mdot, Ve, pe, pa, A_e): return mdot * Ve + (pe - pa) * A_e def specific_impulse(F, mdot, g0=9.81): return F / (mdot * g0) def thermal_efficiency(eta_carnet, T_t4, T_t2): return eta_carnet * (1 - (T_t2 / T_t4)**((gamma-1)/gamma)) def propulsive_efficiency(V, Ve): return 2 / (1 + V/Ve) def overall_efficiency(eta_thermal, eta_propulsive): return eta_thermal * eta_propulsive def rocket_equation(dv, Ve): return np.exp(dv / Ve) def mass_ratio(m0, mf): return m0 / mf def Tsiolkovsky_mdv(m0, mf, Ve): return Ve * np.log(m0 / mf) mdot = 100 # kg/s Ve = 3000 # m/s pa = 101325 # Pa pe = 50000 # Pa A_e = 1.0 # m² F = thrust_force(mdot, Ve, pe, pa, A_e) Isp = specific_impulse(F, mdot) print(f"Thrust: {F:.0f} N") print(f"Specific impulse: {Isp:.0f} s") ``` ### Flight Dynamics ```python def lift_force(q, S, CL): return q * S * CL def drag_force(q, S, CD): return q * S * CD def thrust_available(eta_propulsive, P_avail, V): return eta_propulsive * P_avail / V def rate_of_climb(L, D, W): return (L - D) * V / W def minimum_drag_speed(CL_max, rho, S, W): return np.sqrt(2 * W / (rho * S * CL_max)) def stall_speed(V_s, sqrt(CL_max_clean / CL_max_landing)): return V_s * np.sqrt(CL_max_clean / CL_max_landing) def turn_rate(V, load_factor, g=9.81): return g * np.sqrt(n**2 - 1) / V def bank_angle(turn_radius, V): return np.arctan(V**2 / (turn_radius * g)) W = 50000 # N V = 150 # m/s CL, CD = 1.2, 0.05 q = 0.5 * 1.225 * V**2 S = 30 # m² L = lift_force(q, S, CL) D = drag_force(q, S, CD) ROC = rate_of_climb(L, D, W) print(f"Rate of climb: {ROC:.1f} m/s") ``` ### Orbital Mechanics ```python def orbital_velocity(mu, r): return np.sqrt(mu / r) def orbital_period(T, mu, a): return 2 * np.pi * np.sqrt(a**3 / mu) def vis_viva_equation(v, mu, r1, r2): return np.sqrt(mu * (2/r1 - 1/r2)) def hohmann_transfer(r1, r2, mu): a_transfer = (r1 + r2) / 2 dv1 = np.sqrt(mu/r1) * (np.sqrt(2*r2/(r1+r2)) - 1) dv2 = np.sqrt(mu/r2) * (1 - np.sqrt(2*r1/(r1+r2))) return dv1 + dv2 def escape_velocity(v_esc, mu, r): return np.sqrt(2 * mu / r) def orbital_eccentricity(a, e_vec, h_vec): return e_vec / h_vec def inclination(i, h_z, h): return np.arccos(h_z / h) mu_earth = 3.986e14 # m³/s² r_earth = 6371e3 # m V_orb = orbital_velocity(mu_earth, r_earth) print(f"LEO orbital velocity: {V_orb:.0f} m/s") V_esc = escape_velocity(V_orb, mu_earth, r_earth) print(f"Escape velocity: {V_esc:.0f} m/s") ``` ### Structural Analysis ```python def wing_loading(W, S): return W / S def aspect_ratio(b, S): return b**2 / S def taper_ratio(cta, ctr): return cta / ctr def wing_torsion_constant(J, c_max, t_max): return (1/3) * c_max**3 * t_max * (1 - 0.63*t_max/c_max) def flutter_speed(V_f, b, omega_alpha, m_alpha): return V_f * b * omega_alpha / (2 * m_alpha) def gust_load_factor(V_gust, cL_alpha, rho, W_S): return 1 + rho * V_gust * cL_alpha / (2 * W_S) def fatigue_life(N_f, sigma_a, sigma_m): return N_f * (sigma_a / sigma_a_ref)**(-1/b) b = 30 # m S = 120 # m² AR = aspect_ratio(b, S) print(f"Aspect ratio: {AR:.1f}") ``` ## Best Practices 1. **Safety Factors**: Apply appropriate factors 2. **Certification**: Follow FAR/CS requirements 3. **Aerodynamic Validation**: Wind tunnel testing 4. **Structural Fatigue**: Consider cyclic loads 5. **Mission Profile**: Define all flight conditions ## Common Patterns ```python # Aircraft sizing def preliminary_sizing(): pass # CFD integration def cfd_simulation(): pass ``` ## Core Competencies 1. Aerodynamic analysis 2. Propulsion systems 3. Flight dynamics 4. Orbital mechanics 5. Aerospace structures
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