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 as the fan speed is increased. The less significant temperature drop from 1300 to 1850 rpm indicates the bulk of the radiators performance potential can be achieved with medium fan speeds.

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 ~13% which is the lowest of the test group. This means increasing fan speeds on the ST30 had less benefit than doing so on the other 280mm radiators of the group. Variance ranged from ~11.5% at 750 rpm to 14.5% at 1850 rpm. This reasonably close percentage difference shows that the ST30 280’s potential performance scales evenly across different fan assemblies as the fan speeds were 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.

This extrapolation hints that the ST30 with it’s slim core is very close to approaching it’s maximum cooling under our tested conditions.

Now let’s analyze that data some more…

2 COMMENTS

  1. […] Alphacool ST30 280 Radiator Alphacool UT60 280 Radiator Review Alphacool Monsta 280 Radiator EK CE 280 Radiator Hardware Labs Nemesis GTS 280 Radiator Hardware Labs Nemesis GTS 280 X-Flow Radiator Hardware Labs Nemesis GTX 280 Radiator Hardware Labs SR2 Radiator XSPC AX 280 Radiator […]

  2. this rad is very special in a way that it’s probably the smallest 280 rad. it’s not only thinner, it’s also shorter and narrower than other 280 rads. for example it is almost 1cm narrower than HWLabs GTS 280. this small size allows to use it in systems were no other 280 rad will fit. for example in Fractal Design Define S/C series of cases, only alphacool 140/280/420 rads will fit the front. so it performs quite well considering the size.
    what i’d like to see is the performance comparison with 240 rads

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