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Controlling LinuxCNC with Python can be used to prototype new machines and instruments. Data can be integrated from external sensors, analyzed, and used to direct LinuxCNC. In addition to describing the theory, we look at a real example to view magnet fields. Instead of building a motorized stage for to scan magnetic fields with a fluxgate magnetometer, we use Python to coordinate LinuxCNC motion and measurements using LXI and VXI-11 from a networked multimeter.
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The probe is a AIM-TTI I-Prober 520 and is normally used to measure the current flowing through traces in circuit boards, but also has wire and field settings. The multimeter is a Keysight (Agilent) 34461A multimeter.
Program: github.com/kentavv/linuxcnc_v...
Amazon Affiliate links:
AIM-TTI I-Prober 520 probe: amzn.to/2cWOggY
Keysight (Agilent) 34461A multimeter: amzn.to/2dxJkhH
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