The Thermal Data
A total of 6 tests were conducted at 1.0 GPM with fan speeds of 750 rpm, 1300 rpm and 1850 rpm being run in ‘Push Only’ and ‘Push/Pull’. All inclusive this testing takes between 40 – 50 hours of logging time (plus processing the data) to get the results that are presented.
Below is the final data results gathered from at least 5 data logging runs at the flow rate and fan rpm combination. The most stable 15 minute period from each logging run was used and then averaged with the other runs to obtain the data for the table below. A total of 16 temperature sensors are used in the thermal test chamber (8 air in, 2 air out, 3 water in, 3 water out). Each sensor takes a reading every second and is logged via a CrystalFontz unit.
The data in the table below is the averaged results of the logging runs which has then been used to create all the plots and tables there-after.
The performance metric of critical importance is the delta between the warm coolant temperature in and the cool ambient air temperature going into the radiator. Given that the system is well insulated and in equilibrium and we know the heat input to the system then we can also calculate a very important number. That number is the amount of power required to raise the coolant temperature by set amount. That amount is typically 1C or 10C. The latter is a more useful reference point.
Let’s take a look at the Delta T results from the tests. Note that the extrapolation of the curve is much more sensitive to error than in the tested range.
I was not too concerned about the actual delta numbers but instead the trend pattern. As we should expect, the deltas come down significantly as the fan speed is increased. The two lines look to be pretty evenly spaced apart at the data points, indicating we should expect a set of balanced performance results with no huge bias to any particular fan speed.
Delta T results (as above) are not always helpful when thinking about how many radiators you would need to cool your system. Instead it’s more useful to know the metric of W/Delta C. This metric is plotted below. It tells us how many Watts are dissipated by the radiator when the coolant rises 10C above ambient temperatures. (W/10 Delta T):
The average difference between Push Only and Push/Pull results at the same fan speed was ~14.5%, and ranged from ~13% at 750 rpm to 16% at 1850 rpm. This very close percentage difference shows that the Monsta 280’s potential performance scales very evenly across different fan assemblies as the fan speeds are increased.
This same data can now be plotted on a chart so that an end user can interpolate their own fan speed. Note again that the extrapolation of the curve is much more sensitive to error than in between the tested range.
Here we can see that the Monsta scales well with more airflow even above 1850RPM. The thick core unleashes a lot of possible cooling – if you can get enough air through it.
Now let’s analyze that data some more…
