Gridfinity Base - Light, connectable, parametric, 79+ variants

This light weight gridfinity base can be extended with clips. There are tones of options and more can be generated.
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updated June 10, 2024

Description

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A minimal gridfinity base.  This is a remix of Gridfinity Base - Light Magnetic Connectable Parametric re-implemented as a python package in build123d.

The source code is available at https://github.com/PaulBone/gfthingREADME.mds and the README.md there describes how to generate variations including different sizes and screw placements.

Any size you want

This upload contains sizes from 1x1 to 5x5, with every width and length combination.  If I didn't upload the right size for your 13x8 drawers then install the python package and try commands like:

gfbase -o base.step -x 13 -y 8

Here is a 3x4 base.

This upload contains what is probably the most common sizes so you need not install the python program.  The naming scheme is:

base-XxY-sS.step.
X: the number of squares across
Y: the number of squares deep
S: the number of screw holes per square, or ‘d’ for the “drawer” screw hole pattern.

If your printer doesn't fit a huge base then join multiple bases together with clips (see clips.stl from  Gridfinity Base - Light Magnetic Connectable Parametric )

Here is my drawer with two 4x3 bases and two 4x4 bases:

Screw holes are customisable

The screw/magnet holes have 3 parameters for controlling their size (I uploaded files with default settings here. 4mm for the screw holes, 6.2mm for the magnet diameter (or counterbore) and 2mm depth for the magnet/counterbore.

Choose between 4, 2, and 0 screws per square.  For lots of magnets or filament savings.

Or just enough screw holes to attach the base to the bottom of a drawer and no more.  This works with any grid at least 3x3 or larger.  It places the screw holes towards the corners while leaving just enough room for my drill to get to the base of the drawer.

Printing

I print this on a fairly standard profile. 0.2mm layers, 3 top and bottom layers, two parameters and a 10% infill.

Tags



Model origin

The author remixed this model.

Differences of the remix compared to the original

Reimplemented in build123d. Much easier to generate variants and add more customisation.

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