Made an air filtering lamp with the filter/fan assembly hidden inside. Uses a Levoit 300s filter with Arctic P14 fans and warm white LED strip.
Kai Chang
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syntagmatic.github.io
With the reduced size of the air inlet, that sped up the air velocity going in and got an anemometer reading of 1.9-2.5 mph, which is great!
Father-in-law is a structural engineer and he volunteered to do a rough CFM calculation based on that and the area of the inlet-- 334 cfm! The max based on the fan specs is 360 cfm, so it seems like a reasonable ballpark. Other testers have found these filters to be about 85% efficient, so the CADR cfm should be in the 240-280 range.
Couple more pictures of adding a cardboard shroud/shade and construction paper sides.
The shroud shifts the air inlet to the bottom, near to the table. Prior to that, the most airflow was at the top of the filter.
It also acts as a shade, directing the light through the filter down onto the table.
DIY hanging air purifier for above the dining table. Trying to iterate the design towards 70s lamp vibes.
Next step is a cardboard shroud/shade to hide the filters and move the air intake primarily near the bottom. Thanks to Alec Burch for the help with the design and build
Here's an example of it generating code. It's on the right track, but doesn't product a complete example.
Already seems like a productive tool for creating tutorials and technical documentation. It's low-effort to write a prompt or even demand a significant reformat of the response. The generated responses are surprisingly extensive.
I haven't been able to get ChatGPT to reliably create interesting D3.js code-- partly because it seems to cut halfway off in the middle of script. I also seem to frequently get it in a "mood" where it tells me it can't generate code (it can).
But it still clearly understands the prompts and generates useful guidance. I can see this being especially helpful for new users who are stuck and not sure what the next step is to progress.
#d3js #chatgpt