ANSYS - Maxwell, current distribution plot?

  • Thread starter PhiowPhi
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  • #1
PhiowPhi
203
8
I was modeling current distribution in a component:

AnalysisHelp1.png


And I plotted the ##\vec J## to simulate & understand the current distribution throughout the conductor, all the flows make sense, however, at the edge of the conductor like so:

AnalysisHelp2.jpg

Current would distribute all around the area, which is expect. However, one would initially assume that the highest ##\vec J## would be going towards the potential difference applied(which is the lower right bar extending to the right of the page) which I would assume is ##1.93 \times 10^7##, and over the furthest left edges possibly low distribution at ##1.71 \times 10^2##, but I'm not sure. Is there a way I could figure this out through ANSYS?

Even when I apply really higher currents(From 250##A## to 250##kA##) the diagram would change to this distribution:
AnalysisHelp3.jpg


Which leads to the same problem, dark blue being a range of [##1.73 \times 10^2##,##1.93 \times 10^7##] My initial assumption is the least amount of current in that scale list is towards the edges in dark-blue.
 

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Answers and Replies

  • #2
gerbi
Gold Member
179
13
Please note, that you're plotting a current density. Let's analyze this (from the top left, counter clockwise along the conduction path):
1) Thin conductor (high density, uniform as this is DC).
2) Wide copper plate connected to source and drain on it's corners top and bottom (non uniform current distribution, higher amount of current flows to the right side.. as it's closer to the drain. The more to the left the higher is the resistance as the path length between source and drain gets longer).
3) Thin conductor. Higher current density on the top portion - the same reasons as above.
4) The remaining part is symmetrical to already discussed one.

The problem is in your plot setup - it's the Maxwell's default one. Try to not using it as it may be misleading. Double click on it and set minimal values to zero and maximum as some expected value (adjust it so you'd not reach the peak values on your plot). That way you use all the resolution of the scale plus you will avoid misleading numbers.
 

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