How mass affects projectile motion

AI Thread Summary
The discussion centers on the dynamics of a vacuum cannon designed to shoot ping-pong balls, highlighting how added mass affects projectile motion. Without added mass, the balls travel short distances in random directions, while adding mass allows them to reach over 100 yards, likely due to the relationship between mass and air resistance. Key factors include the balance between acceleration due to force and the impact of air drag, which complicates calculations. Suggestions include measuring the speed of the cannon's output and experimenting with different weights to find the optimal mass for distance. The conversation emphasizes the importance of empirical testing alongside theoretical principles in engineering.
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Hi, I am a mechanical engineering student and I am currently taking Dynamics.

We have been assigned a project that basically revolves around the dynamics of a vacuum cannon. The cannon we have designed shoots ping-pong balls and we have found that shooting the balls without any added mass will make the ball travel in random directions and go a short distance. We also found that when mass was added it shot over a 100 yards. I can only assume that is due to the balls mass and its relationship with air resistance.

Basically my question is how can I determine the optimal mass of the ping-pong ball to make it travel the furthest distance.

Anything would help because I am having trouble finding thing online.

Thanks A Lot

-Jason
 
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I think you are right is saying that air resistance is the key factor here. Air drag can be quite complicated to calculate from first principles. Here is a wikipedia link to get started:

http://en.wikipedia.org/wiki/Drag_(physics)

You have two extremes. On the one hand is the ping pong ball with low mass. By Newton's second law we know that a = F/m. Since the air drag does not depend on the mass of the ball, the lower the mass the higher the acceleration (or deceleration).

On the other hand if your mass is too large, the force of the cannon is the limiting factor. Again a = F/m (where F is the force from the cannon), but now you want to maximize the acceleration.

These are the two competing forces in play. The latter should be easy to measure (maybe start by measuring the speed out of the cannon). The former is more difficult due to the complex nature of air drag, but you might be able to get some estimates based on average speed, time in flight and get some bounds around its magnitude.
 
I would guess (and it is a guess, not being a golfer myself) - that a golf ball probably has the density it has to maximise this very problem. Maybe that would be a good starting point? Of course, golf balls have more complicated surface patterns with dimples and whatnot, but might give you a ballpark figure.

,Simon
 
This kind of problem gets to the heart of what engineering is all about. Perform experiments based on theoretical knowledge only to find out that many additional factors come into play that you may or may not be able to readily define or account for. Example: depending on how you add weight to the ping pong ball, you could get strange rotations of the ball (due to imbalance) after it is launched that will affect the trajectory. Refine the experiments based on observed behavior (and engineering judgement). Plot a curve of distance vs weight and estimate the optimal situation based on the shape of the curve.

I think the golf ball (SimonRoberts) is a great example. It was no doubt refined over years of trials. Often the theoretical understanding comes alongside or even after the experimentation.
 
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