Bonded Fin Heat Sink Manufacturing
Bonded Fin Heat Sink, Fin Heat Sink Manufacturing,Heat Sink
What it does
Custom bonded fin heat sinks for high-power electronic cooling. High aspect ratio, custom fin densities, epoxy & brazed bonding options. ISO9001 factory, get an instant quote!
Custom base and fins for optimal design flexibility and large surface area. A Bonded Fin heat sink is an advanced thermal management solution widely used in high-power electronics. Unlike standard extruded profiles, this design bonds thin metal fins onto a solid base to maximize the heat dissipation surface area and improve airflow efficiency. By increasing convection and enhancing thermal transfer, Bonded Fin Heat Sink s offer superior cooling performance for compact yet powerful electronic devices. Manufactured with premium heat sink materials such as aluminum (6063-T5) or copper, the thermal conductivity reaches 200W/m·K or higher. A Copper Bonded Fin Heat Sink is often chosen for…from kingkametal.com
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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