Enermax ETS-N30 II CPU Coolers
Standing side by side, it is easy to distinguish between the two coolers, but once the fans are removed, the towers are identical. Here we have the ETS-N30R-HE on the left with the plain looking 92mm fan and the ETS-N30R-TAA on the right. Both also offer a long fan lead which provides a braided covering and terminates in 4-pin PEM connections.
What is evident to us from this side view are three things. First of all, the sides of the tower are enclosed to capture air, the fan clips on easily with plastic tabs, and the cooler is offset compared to the base, because of the asymmetric heat pipe layout.
The back and front of the cooler offer the same fin structure. The 43 aluminum fins provide a valley in the midsection, and where the cooler is deepest near the edges, the fins have grooves cut there, both features allowing the fan to produce pressure before entering the tower.
This side is identical to what we saw on the other side. The fins are closed off, and the cooler is still shifted away from the DIMM slots to the right of the base.
Looking at the top of the fin stack, we see the Enermax name embossed into the fins in the middle, and we get a better idea on the grooves on either side. We can also see the bits of the fin that are pressed in, which directs the air flow from the next heat pipe, as they are out of line with each other.
The top of the base to which you mount hardware is made of a solid piece of aluminum. It offers threaded holes on either side, and the top of the plate has been grooved to act as a passive heat sink, removing some heat before it travels into the tower.
As the trio of heat pipes travel through the aluminum base plate, after milling it and cleaning it, this plastic sticker is applied. Of course, you do need to remove this as the writing on it suggests.
Under the sticker, we find the three pipes are tightly grouped to ensure they all contact any IHS. The surface is milled in an arc pattern, with marks left in the finish, and we also find that the gaps between the copper and aluminum are very minimal.
PRICING: You can find the Enermax ETS-N30R CPU Cooler for sale below. The prices listed are valid at the time of writing, but can change at any time. Click the link below to see real-time pricing for the best deal:
United States: The Enermax ETS-N30R CPU Cooler retails for $28 at Amazon.
United Kingdom: The Enermax ETS-N30R CPU Cooler retails for £28 at Amazon UK.
- Page 1 [Introduction, Specifications, and Pricing]
- Page 2 [Packaging]
- Page 3 [Enermax ETS-N30 II CPU Coolers]
- Page 4 [Accessories and Documentation]
- Page 5 [Installation and Finished Product]
- Page 6 [Test System Setup, Thermal Tests, and Noise Results]
- Page 7 [Final Thoughts]
- We at TweakTown openly invite the companies who provide us with review samples / who are mentioned or discussed to express their opinion of our content. If any company representative wishes to respond, we will publish the response here.
Latest News Posts
- Tesla's Chatbot Elon will help you manage your car
- How Mario Rabbids crossover is a big missed opportunity
- Battlegrounds' new patch: Early Access beats AAA games
- Corsair's Commander Pro controls all case fans, lighting
- Google's 4K digital whiteboard available for $5000
- C2750D4I won't get passed initializing 55
- Asus active pen (for T303UA)
- Alienware 15 R3 Laptop Storage Performance Investigation
- ASUS RT-AC1900p Wireless Router Review
- ASUS RT-AC1900p Wireless Router Review
- Western Digital sets new standard with latest generation in popular HGST-brand Ultrastar SAS SSD family
- AMD raises expectations for server performance, unveils EPYC processor brand for the datacenter
- HighPoint's SSD7101 PCIe board-sized drive series integrate Samsung 960 NVMe SSDs to deliver groundbreaking performance over 12GB/s
- Micron accelerates all-flash storage speed, performance and value with new flexible petabyte-scale enterprise data center solution
- Qualcomm Snapdragon 660 and 630 mobile platforms drive advanced photography, enhanced gaming, integrated connectivity and machine learning