New team. SLI 2012. Project Diffusion. The effect of gravitational stress on the diffusion of liquids . Part 1A: Vehicle. Major Milestone Schedule. GANTT Chart. Mission Profile Chart. Event 3: Apogee at 17s, 5252ft. Coast. Drogue descent.
The effect of gravitational stress on the diffusion of liquids.
Apogee prediction updated based on data from scale model flight (Cd=0.48):
Main parachute deployment at
Ignition at 0s, 0ft
CP 83.1” from nosecone
CG 65.6” from nosecone
Static margin 3.2 calibers
Diameter 5.5”(body tube), 4”(booster)
Liftoff Weight 21.5 lb
Motor Aerotech K1050W
Mach delay of 4 seconds will be set on both deployment altimeters
Apogee at: 5252ft, 17s
Mach number: 0.72
Charges will be finalized via static ejection tests. Tests carried out with the scale model indicated that average increase of 30% against calculated values may be needed for GOEX 4F powder.
Calculated Cd :
Apogee for full scale vehicle (Cd=0.48): 5252 ft
Main parachute deployed at apogee and drogue at 700 ft (wiring error)
Due to the error in wiring, the main parachute was deployed by the apogee event and drogue parachute by the set-altitude (700ft) event. We have added a test to our preflight routine to prevent this problem from reoccurring.
We will investigate the effects of acceleration and vibrations during flight on the diffusion of dye into liquids using digital imaging.
Sealed Plexiglas vessel
Sealed petri dish
Launch and Boost
The experiment chamber is brightly lit using LEDs to prevent any exposure problems during recording
Coast and Apogee
The camcorder continues to record the diffusion process until the vehicle reaches apogee.
Accelerometer records acceleration data.
The pictures taken during the flight are analyzed
Control Group (stationary)
t Time after dye is released (flight time)
R Rate of diffusion (diffusion front speed)
P Pattern of diffusion (qualitative classification)
Measure color saturation in each pixel
Boundary rectangle: X pixels by Y pixels
To quantify the results of our experiment, we have selected the following characteristics to measure. Computerized digital image analysis will be used and we expect to process over 7 billion pixels using a multicore Linux machine.