Reversed MOSI/MISO and got:
Klipper meldet: SHUTDOWN
Internal error during ready callback: Invalid ads1220 reset state (got [0xff, 0xff, 0xff, 0xff] vs [0x0, 0x0, 0x0, 0x0]).
This is generally indicative of connection problems
(e.g. faulty wiring) or a faulty ADS1220 chip.
Reversed MOSI/MISO again and keeps the same.
May I’ve roasted my ADS already?
That looks like you need to git pull the latest code. The two values are the same but the bug is stopping the comparison from succeeding.
It’s resetting the adc memory to defaults (all zeros) before it gets programmed.
Sometimes the best way to do things is: wait!
Suddenly I got the message:
klipper
load-cell-probe-community-testing: v0.9.1-2078 > 20 Einreichungen verfügbar
After running an update procedure via KIAUH I got the following Version:
v0.9.1-2078-ga70fa244
Sadly, meanwhile I wasn’t patient enough and changed the printhead to a pure optical z-endstop. But I still have the ADS in my drawer to try things later.
Hi,
got some things running now, but without load cells at the moment. Will come back to this topic later. But my completely redesigned print head does very well!
Edit:
Just to tell, what strange parts the machine has printed: If you glue them together and use a bit of paint, you get this:
Happy Helloween!
Hi and yes,
this is a bit off topic, but since a few of you requested me to keep them informed…
As mentioned above, I decided to go with optical Z-Endstops on my machines, while fumbling around with the strain gauges later again.
This is just to show, how i modified the printhead to implement the intermediate optical solution:
This is the PCB with detached LED and IR-sensor
Fitted into the head carriage…
…and glued with ABS-acetone-solution.
Detaching LED and IR-sensor became neccesary for the sake of space for the hotend. But letting them in with 60° angle gave me quite a LOT more accuracy (better than my CR-touch on the second machine):
PROBE_ACCURACY at X:172.500 Y:185.000 Z:10.000 (samples=10 retract=0.750 speed=1.2 lift_speed=7.5)
probe accuracy results: maximum 8.282812, minimum 8.278906, range 0.003906, average 8.280969, median 8.280937, standard deviation 0.001194
Here you can see the predecessor I used for the proof of concept (haven’t the results of PROBE_ACCURACY at hand anymore, but was at least 3-5 times higher):
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