We would like to build a computational model capable of accurately predicting the position of any object inside a chamber at any given time.
Inside the model we would have a number of smaller objects in movement, this movement being induced by a double pair of spoon shaped in + formation being moved by a motor powered by a 12V DC power supply.
(Initially thought to use a Air pump, but apparently it would only complicate matters, and since the main goal is keeping the objects in movement, this new approach will suffice.)
Chamber details:
- Material: Lexan (maybe, accepting recommendations)
- Shape: Cylindrical.
- Inside radius: 1 meter.
- Height: 0.5 meters.
- Wall thickness: 2 centimeter.
Objects inside chamber:
- Material: Lexan (maybe, accepting recommendations)
- Amount: 5 to 50. (stages in the experiment)
- Shape: Spherical.
- Overall Radius: 5, 10 and 15 centimeters.
- Some will be solid, while others will not, in the later assume:
- Wall thickness: 0.05, 0.10 and 0.15 centimeters.
With this kind of chamber and objects in mind, the model would need to take into account the following factors:
- Gravity
- Position and temperature of the chamber
- Initial position of each object inside the chamber.
- Collision of object(s) with another object(s) or the chamber interior, and the movement inducing + spoon shaped rotating pads, and of course their subsequent reaction considering the nature of the objects themselves: mass, size, shape, material employed, velocity, direction, (include others you deem necessary).
It is my believe if we take all these factors in consideration (and other important ones I might be neglecting), it would be possible to predict the position of all objects at any given time. With this I think it is then possible to chart the course of all objects in any given time frame, from start to rest position, with a very low margin for error. Such margin being exponential to the size of the time frame in question, therefore being a 5 minutes range, should present minor discrepancies with an actual live model.
If I'm right about all of this, were do you suggest a handful of teammates more proficient in programming, not very much in physics itself, to start with such endeavor.