The Physics of Propulsion
Dynamics of Variable Mass Systems & Orbital Injection
1. Conservation of Momentum for Variable Mass
The fundamental derivation of rocket motion begins with Newton's Second Law applied to a system where mass is being exhausted at a rate \(\dot{m}\). Considering the system momentum \(P\) at time \(t\) and \(t + dt\):
Neglecting the second-order term \(dm \cdot dv\) and setting \(dP/dt = F_{ext}\), we arrive at the equation of motion:
2. The Tsiolkovsky Equation (Ideal Case)
In the absence of external forces (\(F_{ext} = 0\)), integrating from initial state \((m_0, v_0)\) to final state \((m_f, v_f)\) yields:
This logarithmic relationship dictates the "tyranny of the rocket equation," where the propellant mass required increases exponentially with the required \(\Delta v\).
3. Flight Dynamics & Delta-V Losses
For a rocket ascending through an atmosphere, the instantaneous acceleration is governed by:
Integrating this over the burn time \(t_b\) reveals the total required \(\Delta v\) budget:
- Gravity Loss: \(\Delta v_g = \int_{0}^{t_b} g \sin(\theta) dt\) — Minimized by pitching over quickly (Gravity Turn).
- Aerodynamic Drag: \(\Delta v_d = \int_{0}^{t_b} \frac{D(t)}{m(t)} dt\) — Significant in the dense lower atmosphere.
- Steering Loss: \(\Delta v_s = \int_{0}^{t_b} \frac{T}{m} (1 - \cos\alpha) dt\) — Resulting from thrust misalignment with the velocity vector.
4. Multi-Stage Optimization
To bypass the limitations of a single stage, serial staging is used. The total \(\Delta v\) is the sum of the changes in velocity for each stage \(i\):
Structural efficiency is measured by the structural coefficient \(\epsilon = \frac{m_s}{m_s + m_p}\). Optimization involves distributing the mass ratios such that the payload delivery is maximized for a given total \(\Delta v\).