Error estimation of moment of inertia of a flywheel

In summary, the formula for calculating the % error of I is given by I = mr^2 [n2/(n1+n2)] [(gt^2)/(2h) - 1]. The % error of n1 and n2 is considered to be 1 revolution. In the practical book, it is stated that since (gt^2)/(2h) >> 1, the % error of all variables can be approximated. The formula for % error of I is 2x<r> + <n1> + <n2> + 2x<t> + <h>, where <*> represents the % error of each variable. However, there may be a mistake in the book as the % error of
  • #1
angelina
10
0
now i get the formula I = mr^2 [n2/(n1+n2)] [(gt^2)/(2h) - 1]
where m = mass of the hanging wieght; r = radius; n1 = no. of revolutions before the weight reaches the floor; n2 = no. of revolutions before the flywheel stops; t = time taken for the weight to reach the floor; h = height of which the weight had dropped.

and I'm to calculate the % error of I.

- what is the error of n1 and n2? 1 revolution??
- in my practical book, before asking me to calculate the respective % error of all the variables, it states "since gt^2/2h >> 1, by approximation, % error of ... = ... ", what the actual meaning of this statement??
- the formula of % error of I stated is the book is 2x<r> + <n1> + <n2> + 2x<t> + <h>, where <*> = % error of *. but i think % error of n2 should be multiplied by a 2, is this a mistake of me or the book??
 
Physics news on Phys.org
  • #2
angelina said:
it states "since gt^2/2h >> 1,
That means you can ignore the -1 in (gt^2)/(2h) - 1
angelina said:
i think % error of n2 should be multiplied by a 2
Although it occurs twice, it does not occur as n22. E.g. consider n2/n2; the errors would cancel.
However, the sum in the denominator makes it rather tricky. There is no simple formula. If n2>>n1 then it would be <n1>+<n2>; if n2<<n1 then it would be 0. So <n1>+<n2> is worst case.
 

FAQ: Error estimation of moment of inertia of a flywheel

What is the purpose of estimating the moment of inertia of a flywheel?

The moment of inertia of a flywheel is an important parameter to determine the rotational motion and stability of the flywheel. It is used to calculate the amount of energy that can be stored in the flywheel and how it will respond to external forces.

How is the moment of inertia of a flywheel calculated?

The moment of inertia of a flywheel can be calculated by multiplying the mass of the flywheel by the square of its radius and adding the product of the mass and the square of the distance from the axis of rotation to the center of mass. This calculation can be simplified for a cylindrical flywheel by using the formula I = 1/2 * m * r^2, where I is the moment of inertia, m is the mass, and r is the radius.

What factors can affect the accuracy of the moment of inertia estimation for a flywheel?

The accuracy of the moment of inertia estimation for a flywheel can be affected by several factors such as the precision of the measurements of the flywheel's mass and dimensions, the alignment of the flywheel's axis of rotation, and the presence of any external forces or torques. Additionally, any imperfections in the shape or material of the flywheel can also impact the accuracy of the estimation.

How can the uncertainty in the moment of inertia estimation be minimized?

To minimize the uncertainty in the moment of inertia estimation, it is important to use precise and accurate measurements and to repeat the calculation multiple times to ensure consistency. It is also important to consider the effects of external forces and torques, and to minimize any imperfections in the flywheel's shape or material. Utilizing more advanced measurement techniques, such as computer simulations, can also help to improve the accuracy of the estimation.

Why is it important to estimate the moment of inertia of a flywheel accurately?

Estimating the moment of inertia of a flywheel accurately is crucial for various engineering and scientific applications. It helps in designing efficient and stable flywheels for energy storage systems, as well as in understanding and predicting the behavior of rotating systems. Inaccurate estimations can lead to unexpected results and potentially dangerous situations, making it important to strive for the most accurate estimation possible.

Similar threads

Replies
13
Views
2K
Replies
28
Views
885
Replies
4
Views
8K
Replies
7
Views
6K
Replies
8
Views
3K
Replies
4
Views
2K
Replies
1
Views
8K
Replies
4
Views
4K
Back
Top