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Henkel Adhesive Technologies

Notes from the bleeding edge of data and telecom

From AI-driven operational improvements to groundbreaking debonding technology, learn how innovation and collaboration are accelerating advancements in the data and telecom industry.

Tom Sicilian
Global Key Account Manager

4 min.
Sphere illustration with blue and green fragments

As a Global Key Account Manager at Henkel, one of the perks of the job is travel. From week to week, I get to visit various design sites and work with engineers to understand their application needs and help develop the right materials for those needs.

On these trips, what I’m consistently amazed at is how much innovation is happening right now. Whether that’s something we haven’t seen before, something that’s being done a little differently, or something that might not be needed on the production line for two years’ time, change is happening everywhere, and fast—the level of innovation required to keep pace is truly eye-opening.

So, here are a few of the most exciting things I’m seeing from the data and telecom industry.

The growing demand for thermal materials

Almost always, the first thing mechanical and thermal design engineers want to talk about is thermal management.

This, of course, is already a well-defined market, but as our customers are always trying to push the limits of what’s possible, the demands are growing. So, what can we as Henkel do? How can we improve the overall thermal management of a system?

From the cooling systems for immersion cooling down to the chip level, we have to match our customers’ ambitions with our thermal interface materials (TIM).

For example, that could mean looking at ways of improving our thin bond line materials or using different fillers to support their requirements.

Then it’s about understanding the customer’s roadmap. What’s their power consumption going to be in two, five, ten years’ time? How can we align our material developments with that roadmap? When we work in this type of open and collaborative way, it’s easier to find the right answers.

From our standpoint, though, perhaps the most important thing is reliability. As this is a performance game, our materials have to be reliable in the long run. We have to make sure each piece of hardware performs at its best with the thermal requirements needed. Any type of field failure will cause a system replacement sooner than the full lifecycle, increasing waste and costs, so our overarching objective has to be making sure that doesn’t happen.

Could the debonding initiative expand into the industry?

In terms of trends, to my mind the debonding initiative in the consumer electronics industry is one with huge potential.

Debonding-on-demand adhesives allow consumers to repair components without damaging the rest of the product. For example, with the iPhone 16, consumers can easily remove and replace the battery at home from the comfort of their living room.

The main reason I see potential to transfer this type of design into data and telecom hardware is because data centers are all at different stages of their lifecycle—some are ageing, others are being built as we speak—and to accommodate this, they’re built in a modular way. It’s not a great leap to suggest that if the debonding initiative can expand to data centers, in time the module concepts could be removed instead of entirely overhauled, cutting out waste in-between.

Especially as the technology is advancing all the time, there might be potential to upgrade certain parts of the system without the full cost of an upgrade, enabling a significant advantage vis-à-vis cost of ownership.

AI in the data center

In Uniquely Wired and other places, there’s been a lot of talk around AI and the increased power demands it’s asking of data centers.

One thing the magazine didn’t broach, as far as I can tell, is how AI can improve operations in the data center. From what I’m seeing and hearing, the clearest use case is digital twins.

This is particularly the case for contract manufacturers who assemble and build the hardware. It’s these companies who are using digital twins to model scenarios and find the best ways of improving their processes, such as improving usage rates or measuring sustainability metrics.

In this regard, the possibilities are endless. Experts have more data at their disposal than ever before, and it’s crazy to think that they’re only just beginning to get a handle on how to use these insights. The question is, how far can they take things?

Server room in data center

As innovation cycles are faster than ever, we very much understand that collaboration is critical to success.

Tom Sicilian

Greater cross-industry collaboration

Linked to this, what’s particularly exciting is that there’s an appetite to share this knowledge across the industry. Organizations like the Open Compute Project (OCP) are fostering an approach where everyone works together to make these systems perform better, bringing benefits for all.

I think this feeds into our approach at Henkel. As innovation cycles are faster than ever, we very much understand that collaboration is critical to success.

To help us move at this pace, we’ve invested heavily in building our data and telecom division, we’ve got an incredible network of extremely talented technical people, and we’ve all adopted a more agile mindset. Thanks to this, we’re ready to support and deliver the cutting-edge materials our customers require, whatever challenges they face.

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Resources

  • Server rack stacked with digital matrix vector of 0s and 1s

    How collaboration helps solve thermal challenges

    Collaboration between engineers and customers is essential in addressing unique thermal challenges in data centers, enabling tailored solutions and advancements in cooling technologies.

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  • illuminated network waves traveling inside of data center

    Cooling the AI heatwave in data centers

    How balancing innovation, sustainability, and practical solutions can bring about thermal efficiency.

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