Moment of inertia with coordinates
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Hello to all. Does anyone know how to get the moment of inertia by giving the coordinates of the points in matlab?
5 commentaires
James Tursa
le 11 Mar 2022
Please give us some context about your question. Currently your description is too vague for us to help. What is your overall problem you are trying to solve? What do you have to work with? How does the moment of inertia fit into this problem? Etc.
ehsan kuse
le 12 Mar 2022
James Tursa
le 12 Mar 2022
Is all the mass concentrated at the vertices? Or is the mass distributed uniformly along planar surfaces formed by the triangles of the vertices? Or ...?
ehsan kuse
le 12 Mar 2022
ehsan kuse
le 12 Mar 2022
Réponses (2)
J Chen
le 11 Mar 2022
0 votes
Moment of inertia is
or
, where m is the mass, r is the distance to the rotation axis.
, where m is the mass, r is the distance to the rotation axis.4 commentaires
ehsan kuse
le 11 Mar 2022
J Chen
le 11 Mar 2022
Represent the axis and mass locations as vectors. Use trigometry to project the location vectors to the axis and find r.
Image Analyst
le 12 Mar 2022
@ehsan kuse, did you totally overlook my Answer below? It does that.
Sam Chak
le 12 Mar 2022
Hey @ehsan kuse
The Coordinate alone is not sufficient. You still need to know where the axis of rotation is, as mentioned by @J Chen. Are the centroid coordinate (center or mass) and the axis of rotation collinear?
Take the bob as an example, which is typically a solid spherical mass m on the end of a pendulum system. The moment of inertia about its center of mass is given by
However, if the bob is suspended from a pivot using a cord (massless) or a rod (rigid), and it rotates about the pivot point, then the moment of inertia of the entire system (called pendulum) is calculated differently, depending whether it is a simple pendulum, or a compound pendulum.
Image Analyst
le 11 Mar 2022
0 votes
Attached is my demo of how to get image moments. These are spatial moments of inertia about the center of the blob I identified. You could adapt it to just not segment the image and take the origin/centroid as the middle pixel (columns/2, rows/2) if you want.

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