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Rules of thumb for 2d curve evaluations


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Hey all,

I am looking for some input on general 2d curve evaluation settings. I know this may be generic, but I figured I would put out a post. 

 

For some background. I have came across a few instances in my company where the same feature in different programs are being filtered differently.

the examples below show a 2d curve evaluated with spline with 50 upr and a second instance where it is evaluated with Gauss with Lc 2.6.

image.png.89467e104f7fc48dfd105e1be2c2541d.png image.png.9514cb874057200651a908d56ac22972.png

 

Appreciate the help!

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https://qualityforum.zeiss.com/topic/24879-rules-of-thumb-for-2d-curve-evaluations/
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Hey Tom

problematic is always inside radius.

1st What's the best stylus radius

2nd probe center path defines step distance, minimum 18 points at 90° arc

3rd Determine the break even Lc for spline filter and compare it to Gaussian

I found no background inside the standardisation and the used parameters for Spline-Math is also a mystery

The result must be plausible. It is best, if I have similar results, e.g. CMM versus form tester.

 

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Thank you

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! That is very helpful. 

Based on the best practice note. For my example, I am measuring a spiral 2d curve. Since the slope tightens towards the center, I should be using Gaussian. Am I interpreting that correctly?

Hey Joseph

the gradient growes up for inner to outer, means not constant.

I prefer Gaussian, because it only can get problems at start and end. An adequate overlap (cutoff) solves this.

Additional compare the result Gaussian & Spline with same Lc to get a feeling for the behaviour.

In order to make more precise statements, I need to know the exact geometry
Please look at inspection
Klaus

Spiral.zip

Edited
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Hey Joseph

The typical specification of a roughness

Evaluation length 4,000 mm

Lc = 0.800 mm

Ls = 0.0025 mm

Samples = 5

Standard CutOff = 1

Measuring length = 4,800 mm

There are no specification evaluate the total profile of the spiral

Use the spec above, and the number of samplings = MeasuredLenght/Lc

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