Degrees of freedom (question based on an interview I attended)

In summary, the number of degrees of freedom (in both translation and rotational senses) this part has with respect to each axis depends upon the question being asked of this object.
  • #1
k.udhay
160
10
TL;DR Summary
This question is based on an interview I attended. I coudn't answer the question convincingly to myself. So seeking some help here.
I was asked by an interviewer the number of degrees of freedom (in both translation and rotational senses) this part has with respect to each axis. Indeed I can share what I think of here, but I want to start it fresh and correct.
If you were the interviewee, what would have been your answer and the rational associated?

Spring block - Degrees of freedom problem.jpg
Thanks in advance!
Edit: Added this --> (in both translation and rotational senses)
 
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  • #2
My answer would be that you have not specified the problem. The number of relevant degrees of freedom depends upon the question being asked of this object. For instance it contains ~NAvagadro atoms but those degrees of freedom can be replaced by a suitable average.
So you need to consider the minimum number of variables required to specify the system. It would be easier and better for you to tell us your solution first.
 
  • #3
hutchphd said:
My answer would be that you have not specified the problem. The number of relevant degrees of freedom depends upon the question being asked of this object. For instance it contains ~NAvagadro atoms but those degrees of freedom can be replaced by a suitable average.
So you need to consider the minimum number of variables required to specify the system. It would be easier and better for you to tell us your solution first.
Thanks for your answer. It is a mehcanical problem and hence I would not get into the atomic level.
My answer (I think) was this:

XCCW
1​
CW
1​
Until the gap in the groove is closed
+
1​
Acc. to stiffness of leaf spring
-
1​
Acc. to stiffness of leaf spring
YCCW
1​
Acc. to stiffness of leaf spring
CW
1​
Acc. to stiffness of leaf spring
+
0​
-
0​
ZCCW
0​
CW
0​
+
0​
-
 
  • #4
I'd go with six DOF.

Translation:
  • X (leaf spring)
  • Y (groove)
  • Z (leaf spring)

Rotation:
  • X (groove)
  • Y (leaf spring)
  • Z (leaf spring; twisting)
 
  • #5
Here's how I would attack this problem. My assumption is that the interviewer is more interested in how I attack problems than whether I can come up with (the)(a) correct answer during the interview. That being the case, I would expect that the interviewer wants to hear my thought process more than (s)he wants to hear my conclusions. So this is what I would be saying, somewhat paraphrased:

"The assembly consists of a top block, a leaf spring, and a bottom block with features."

"The leaf spring is flexible in the X direction, but is rigid in the Y direction."

"Similarly, the bottom block is flexible about the X axis, and rigid in the other axes."

"The top block is rigidly fastened to the machine, so has zero DOF."

"The bottom surface of the bottom block is rigidly connected to the machine, so has zero DOF. The fact that it is fastened to a vibrating member does not affect the DOF."

"The slot machined in the bottom piece would allow the bottom piece to flex. However, such flexing is prevented by the leaf spring. Zero DOF for flexing about the X axis."

"The leaf spring allows the bottom block to move in the X direction, but the bottom block is fastened to the machine. Zero DOF for the bottom block in the X-direction."

"I see one DOF - the middle of the leaf spring can be moved in the X direction. Even though it cannot be moved very far, it is one DOF."

"Conclusion - one DOF."
 
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  • #6
As part of the process, I would first ask what it means that the bottom member can "vibrate" (does that mean move freely or only in a particular fashion). This is a terrible test question but not a bad interview question.
I agree the important part of the answer is to
  1. Define the unfettered system
  2. Apply the constraints
Is there a way change the question so it would also overtly require reliance on symmetry ?
 
  • #7
hutchphd said:
but not a bad interview question.
I agree.

A good response would include questions from you - like "is motion of the lea spring only a DOF, or is it treated as internal, like atomic motion?" The answer they are looking for is not a number, its whether you can ask good clarifying questions.
 
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1. What are degrees of freedom and why are they important in statistics?

Degrees of freedom refer to the number of independent pieces of information that are available for estimating a parameter in a statistical model. In other words, it is the number of values that are free to vary in a calculation or analysis. Degrees of freedom are important because they affect the precision and accuracy of statistical estimates. A higher number of degrees of freedom generally leads to a more reliable estimate.

2. How do degrees of freedom relate to sample size in statistical analysis?

Degrees of freedom are directly related to sample size in statistical analysis. As the sample size increases, the degrees of freedom also increase. This is because a larger sample size provides more independent pieces of information for estimating parameters, resulting in a higher number of degrees of freedom.

3. Can you have negative degrees of freedom?

No, degrees of freedom cannot be negative. They are always a positive integer or zero. Negative degrees of freedom would not make sense in statistical calculations and would result in invalid estimates.

4. How do degrees of freedom differ in different statistical tests?

Degrees of freedom can vary in different statistical tests depending on the number of variables and parameters involved. For example, in a t-test, the degrees of freedom are calculated based on the sample size and the number of groups being compared. In a chi-square test, the degrees of freedom are based on the number of categories being compared.

5. How can degrees of freedom be used to determine the appropriate statistical test to use?

The degrees of freedom can help determine the appropriate statistical test to use by providing information about the number of independent pieces of information available for estimating parameters. Generally, statistical tests with a higher number of degrees of freedom are more appropriate for larger sample sizes and more complex data, while tests with a lower number of degrees of freedom are better suited for smaller sample sizes and simpler data.

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