50000 acceleration 600 speed

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  • Опубліковано 21 жов 2024

КОМЕНТАРІ • 24

  • @An1lart
    @An1lart 3 місяці тому +4

    Haha, settings go brrrrrrr

  • @brokenweltall
    @brokenweltall 3 місяці тому +3

    Impressive!

  • @Tangenaut
    @Tangenaut 3 місяці тому

    3D printers in video games be like:

  • @zeuss194
    @zeuss194 3 місяці тому +1

    next step : teleportation

    • @ruroruro
      @ruroruro 3 місяці тому

      * 3d prints behind you * nothing personal, kid

  • @kwoods3379
    @kwoods3379 3 місяці тому +1

    What printer is this?

    • @rafsh1846
      @rafsh1846  3 місяці тому

      Voron 2 with Monolith gantry and my tool head with hgx gears

  • @richardjohnson8009
    @richardjohnson8009 3 місяці тому +2

    that would be pretty cool to use machine learning so it can control itself to use precise speed where appropriate and slow and steady where needed.

    • @idranoutof1d
      @idranoutof1d 3 місяці тому

      Thats actually a great idea, although developing probably be a pain in the ass😂

    • @daliasprints9798
      @daliasprints9798 3 місяці тому

      That is absolutely not something you need "machine learning" to do...

    • @youtubehandlesux
      @youtubehandlesux 3 місяці тому

      Not really. I suggest you learn how klipper really works.

    • @richardjohnson8009
      @richardjohnson8009 3 місяці тому

      @@daliasprints9798 why not, you could gain efficiency and reduce print times, use less material when unnecessary, use different types of supports when needed, all sorts of stuff, thats the entire point.

    • @daliasprints9798
      @daliasprints9798 3 місяці тому +1

      @@richardjohnson8009 Because you don't understand the tools and are just blabbering about the popular thing of the day. All of the constraints here are known and physically modeled. You don't have to apply magic black boxes trying to get a neural network to rediscover the patterns that we already know that are already consequences of sound physical models. Getting it to do that would be far more work developing criteria for training (to evaluate the quality of the print) than just using what we already know.

  • @buarque.alexandre
    @buarque.alexandre 3 місяці тому +1

    Are people still using axis printers on this planet?

    • @rainbowbunchie8237
      @rainbowbunchie8237 3 місяці тому +3

      every printer has an axis of movement

    • @buarque.alexandre
      @buarque.alexandre 3 місяці тому +2

      @@rainbowbunchie8237 not in my planet, we hope you get there soon...