Rebound Height vs Air Pressure: A Puzzling Relationship

Click For Summary
SUMMARY

The discussion centers on the relationship between rebound height and air pressure in basketballs, specifically why the graph of rebound height (in meters) versus air pressure does not pass through the origin. Participants explain that the rebound height is not directly proportional to air pressure due to the existence of a minimum threshold pressure below which the ball does not bounce. They suggest that the relationship may be logarithmic rather than linear, indicating that increases in air pressure yield diminishing returns in rebound height after a certain point.

PREREQUISITES
  • Understanding of basic physics principles, particularly mass-spring systems.
  • Familiarity with graphing and interpreting data relationships.
  • Knowledge of the coefficient of restitution (COR) and its impact on bounce dynamics.
  • Basic experience with pressure measurement units, specifically psi (pounds per square inch).
NEXT STEPS
  • Research the coefficient of restitution (COR) and its effects on rebound height.
  • Explore the mathematical modeling of rebound height using logarithmic functions.
  • Investigate experimental studies on basketball rebound heights at various air pressures.
  • Learn about the physics of mass-spring systems and their application to sports equipment.
USEFUL FOR

Physics students, sports scientists, engineers, and anyone interested in the dynamics of sports equipment performance.

innocentasker
Messages
4
Reaction score
0
OP tried to delete his post and the thread title, but they have been restored by the Mentors
TL;DR
-
Hi all
I have a very quick question
I'm trying to understand why a graph of Rebound height (m) vs Air Pressure (x axis) doesn't have a line of best fit which goes through the origin.
I understand a basketball's bounce can be compared to the compression of a mass-spring system but then why doesn't it have a directly proportional relationship between its air pressure and rebound height?
 
Physics news on Phys.org
Why should it? The maximum rebound height is the height it was dropped from, so it can't reboubd beyond that however high the pressure.
 
My apologies i should've framed my question better...i understand that it can't rebound beyond it's drop height but until that height...could you help me understand why air pressure is not directly proportional to the rebound height?
For example..
a 3 psi ball may bounce to 1.5m
And the same ball at 3.5 psi may bounce to 1.8m
But the same ball at 4 psi may bounce to 2.1m

Does it have anything to do with the COR of the ball?
Thanks in advance
 
innocentasker said:
I'm trying to understand why a graph of Rebound height (m) vs Air Pressure (x axis) doesn't have a line of best fit which goes through the origin.
Welcome to PF. :smile:

Can you post a link to the graph you are referring to? Also, I would think the rebound height would be zero when you get down below about 0.5psi or so -- that's a pretty flat basketball...

1643124498616.png

https://www.istockphoto.com/photo/flat-basketball-isolated-gm182481240-11881459
 
  • Like
Likes   Reactions: PeroK
innocentasker said:
could you help me understand why air pressure is not directly proportional to the rebound height?
Why should it be linear? You'd expect the rebound to be zero until it reaches a minimum threshold. Then, I'd expect it to increase quickly over some relatively small range of pressure until it reaches the next threshold, where it is bouncing normally. I'm not sure about the curve here and how close to linear that would be. Then, the curve would flatten out and any further increase would be minimal.

There's no reason for it to be linear.
 
But you don't have any data below 6psi? I'm pretty sure it will drop like a stone and intersect the x-axis before the origin...
 
is this what you mean? i think its a logarithmic fit but i don't understand why
1643126380865.png

PeroK said:
Why should it be linear? You'd expect the rebound to be zero until it reaches a minimum threshold. Then, I'd expect it to increase quickly over some relatively small range of pressure until it reaches the next threshold, where it is bouncing normally. I'm not sure about the curve here and how close to linear that would be. Then, the curve would flatten out and any further increase would be minimal.

There's no reason for it to be linear.
 
innocentasker said:
is this what you mean? i think its a logarithmic fit but i don't understand whyView attachment 296014
I wouldn't like to guess the shape, but I imagine the height would drop off far more quickly than that.

Why? Exprience of playing football (soccer) as a child. It only took the ball to lose a bit of air pressure for the game to be ruined. A half-inflated ball was no use. It would just flop around.

You youngsters these days probably spent your childhood sitting indoors playing computer soccer where the ball never goes flat! :smile:
 
  • Like
Likes   Reactions: vanhees71 and russ_watters
  • #10
I did a Google search on basketball rebound height vs pressure and got lots of hits. But I didn't find any experiments that went below about 5-6psi. Maybe you will be the first to plot that data! :smile:
 
  • Like
Likes   Reactions: vanhees71
  • #11
innocentasker said:
Summary:: -

Hi all
I have a very quick question
I'm trying to understand why a graph of Rebound height (m) vs Air Pressure (x axis) doesn't have a line of best fit which goes through the origin.
I understand a basketball's bounce can be compared to the compression of a mass-spring system but then why doesn't it have a directly proportional relationship between its air pressure and rebound height?
Please do not try to delete your OP and the thread title (and your posts!) -- that is usually a sign that a student is trying to cheat on their homework. Your OP and thread title have been restored, and this thread is now locked.
 
Last edited:
  • Like
  • Informative
Likes   Reactions: vanhees71, gmax137 and russ_watters

Similar threads

  • · Replies 27 ·
Replies
27
Views
5K
  • · Replies 5 ·
Replies
5
Views
1K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 55 ·
2
Replies
55
Views
20K
  • · Replies 7 ·
Replies
7
Views
5K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 7 ·
Replies
7
Views
5K