Control curves in the TIMA analysis
Before I go into the actual values of the individual results, I’ll present the originals from the TIMA software, because it’s also a question of transparency. Especially as we are also shown the bulk thermal conductivity here, which was determined for the relevant temperature and BLT range. In the data interface, you can check these real determined values in advance, test them for plausibility and deselect the deviating values for the determination. In this way, you can also recognize the slight anomalies that may exist at certain layer thicknesses, where the thermal resistance no longer correlates particularly linearly with the layer thickness. However, this is exactly what needs to be questioned, because there must be reasons for this. In addition, the correct bulk thermal conductivity is given here in exactly the same way as that given by reputable manufacturers.
The cheap TF4 is not particularly stable and should therefore not last long. But with 3.2 W/(m-K) it is very well positioned in the middle class. But if it is, then it should be at least a little more viscous.
With a real 3.9 W/(m-K) bulk, the TF7 shows where the inexpensive hammer hangs.
The TF8 actually wins everything here, because it is not only good, but also reasonably easy to work with.
All in all, the TF9 doesn’t look any better than the TF8, which is remarkable. However, it is quite problematic, as we will see on the next page.
In the end, the TFX is only marginally better than the TF9, but almost unusable. We’ll see why in a moment. Resolution follows.
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