I was in Pasadena CA for the Hackaday Superconference, and got to spend some quality time at the Supplyframe Design Lab. Resident Engineer Dan Hienzsch said I could have a few hours, and asked me what I wanted to make. The constraints were that it had to be small enough to fit into checked luggage, but had to be cool enough to warrant taking up Dan’s time, with bonus points for me learning some new skills. I have a decent wood shop at home, and while my 3D printer farm isn’t as pro as the Design Lab’s, I know the ropes. This left one obvious choice: something Jolly Wrencher on the industrial Tormach three-axis CNC metal mill.
A CNC mill is an awesome tool, but it’s not an omniscient metal-eating robot that you can just hand a design file to. If you thought that having a CNC mill would turn you into a no-experience-needed metal-cutting monster, you’d be sorely mistaken.
Of course the machine is able to cut arbitrary shapes with a precision that would be extremely demanding if done by hand, but the craft of the operator is no less a factor than with a manual mill in making sure that things don’t go sideways. Dan’s good judgment, experience, and input was needed every step of the way. Honestly, I was surprised by how similar the whole procedure was to manual milling. So if you want to know what it’s like to sit on the shoulder of a serious CNC mill operator, read on!
Continue reading “CNC Milling Is More Manual Than You Think”








What really caught our eye is the Goliath’s unique positioning system. While most CNC machines have the luxury of end-stops or servomotors capable of precise positional control, the Goliath has two “base sensors” that are tethered to the top of the machine and mounted to the edge of the workpiece. Each sensor connects to the host computer via USB and uses vaguely termed “Radio Frequency technology” that provides a 100Hz update for the machine’s coordinate system. This setup is sure to beat out dead-reckoning for positional awareness, but details are scant on how it precisely operates. We’d love to know more if you’ve used a similar setup for local positioning as this is still a daunting task for indoor robots.