The Recovery deployment sequence is "lines first," which has several advantages, noted by Wolf in his Parachute Seminar.
Lines First Deployment Example from Knacke (sourced from Wolf)
We will conduct research into the deployment sequence to mitigate possible failures, ensure a stable descent, and help inform our camera choices.
To inform our choice of camera, we need to gather information on chute deployment and inflation rates.
The rate of drogue parachute inflation will depend on the airstream conditions and the parachute dimensions and its materials. To begin analysis, we examined the NASA TM X-1786 "Wind-Tunnel Investigation of Inflation of Disk-Gap-Band and Modified Ringsail Parachutes at Dynamic Pressures Between 0.24 and 7.07 Pounds Per Square Foot."
Most notably, this paper provides a mean empirical curve relationship for parachutes given their geometric porosity. This formula does not take into account atmospheric conditions or parachute type (i.e. disk-gap-band, ringsail). This makes it appropriate only for preliminary analysis:
\frac{t_{f}}{D_{o}} = \frac{0.65\lambda_{g}}{V} |
In this formula, tf is the filling time in seconds, and Do is the nominal canopy diameter. is the canopy geometric porosity. To develop a range of possible fill times, we use the following estimates:
Using these estimates, we generate the following plot of fill time as a function of velocity. To select a representative range of velocities, we examined the range of possible main-deployment conditions (using the chart featured in the Hermes Disk Gap Band Design page as a basis for our analysis). This analysis also made use of 1976 COESA Standard Atmospheric model, as calculated using the MATLAB function atmoscoesa.
For a first-pass analysis, the following ranges of altitudes and Mach numbers were selected:
The following lines of MATLAB can be used to calculate a range of possible velocities:
altitudes = linspace(90000,150000); %range of altitudes in meters machs = linspace(0.5,2); %range of Mach numbers altitudes = convlength(altitudes, 'ft', 'm'); %convert altitudes to meters [T, a, P, rho] = atmoscoesa(altitudes); %use Standard Atmospheric Model velocities = machs.*a; %calculates all possible deployment velocities |
Then, we can generate the following graph of inflation times based on velocity:
geometric porosity: the percent of the nominal canopy surface area that is removed due to vents and gaps
https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19690014164.pdf