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Join two Cut Point 3D datasets

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Hi,

I have two component models which have slightly different geometries (they only differ in a PML domain). I have created a Cut Point 3D dataset as a group of discrete points in a plane for each of these models and now I'm interested in joining the Cut Point 3D datasets in order to compare the difference. This should be in principle possible since both datasets have the same discrete points. I know this is possible with two "continuous" datasets, however, as I have understood it, the two models must have the exact same geometry.

By the way, is there a way to visualize a Cut Point 3D dataset as a surface plot?

All of this would be very helpful to minimize the time spent exporting/importing data for post-processing.

Thanks in advance,
Elias

2 Replies Last Post 2016年6月28日 GMT-4 11:13
Magnus Ringh COMSOL Employee

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Posted: 8 years ago 2016年6月27日 GMT-4 08:50
Hi,

The approach with a Join data set to join two Cut Point 3D data set works fine. Use an Explicit method in the Join data set; you can then evaluate the difference in each point using

data1(u1)-data2(u2)

if the dependent variables are called u1 (in the first geometry) and u2 (in the second geometry).

Best regards,
Magnus Ringh, COMSOL
Hi, The approach with a Join data set to join two Cut Point 3D data set works fine. Use an Explicit method in the Join data set; you can then evaluate the difference in each point using data1(u1)-data2(u2) if the dependent variables are called u1 (in the first geometry) and u2 (in the second geometry). Best regards, Magnus Ringh, COMSOL

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Posted: 8 years ago 2016年6月28日 GMT-4 11:13
Magnus,

Thanks for your response. I have managed to change the mesh settings and avoided the need for a second component model. In this way I have preserved the same geometry and can both join the datasets and visualize their difference.

Best regards,
/E
Magnus, Thanks for your response. I have managed to change the mesh settings and avoided the need for a second component model. In this way I have preserved the same geometry and can both join the datasets and visualize their difference. Best regards, /E

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