As a long-time entrepreneur and maker, I have often chafed against the long and convoluted tool-chains required to get from a design to something I can hold or use. With the combination of Onshape and Kiri:Moto, that chain is now down to two links.
Kiri:Moto provides the most direct path from solid models to real objects. Now available in the Onshape App Store, it is an extensible, multi-purpose slicing and visualization engine that produces output for:
- CAM | 2.5 Axis CNC Toolpath Generation
- FDM | 3D Printer Slicer, Print Generator
- Laser Cutting | Slice for Stacking. Tile Output to DXF & SVG
Kiri:Moto’s name is based on Kiri-e, the Japanese art of papercutting. These extremely detailed works of art, done completely with a utility knife, are so exquisite that they sometimes look like pencil sketches. (Although “Moto” sounds Japanese, too, it’s actually shorthand for MOdeling TOol.)
Kiri:Moto is Fully Integrated Into Onshape
Whether your part is complete or you need to turn out a few prototypes, Kiri:Moto can be the fastest bridge between your solid model and a 3D print or CNC-milled part. Once you’ve subscribed to Kiri:Moto and added it to your workspace, it will appear as a tab inside your current workspace. This allows direct and rapid copies of your parts onto Kiri’s build platform.
Watch the video below for a quick intro on how to add the Kiri:Moto app inside Onshape to allow direct CNC toolpath generation – without ever leaving the comfort of your Onshape experience.
The best way to get up to speed on these features is to browse Kiri’s YouTube channel, refer to the Grid:Space Wiki and ask questions on the Grid:Space Forums. Of course, community involvement is the fastest way for Kiri to acquire a broader base of 3D printer and CNC mill support through the contribution of GCode profiles.
Kiri is evolving rapidly. As a cloud-based platform like Onshape, updates and new features are delivered frequently. While Kiri is (and will remain) free to use, future releases will offer pro features that leverage cloud-based computing to handle larger models than browser memory permits.