Additively manufactured lattice materials are of great interest in many
applications, however the surface defects generated during manufacturing
can prove a significant barrier. The small feature size and intricate geometry
makes characterisation of lattice struts difficult, so we present StrutSurf as
a new tool for analysis of lattice struts. Using micro-CT data, StrutSurf
allows random sampling of struts within a lattice, and automates analysis to
provide detailed morphological information such as strut diameter, ellipticity,
orientation, and surface roughness. StrutSurf will enable a range of new
research questions to be investigated such as the effects of surface treatments
and other manufacturing methods on strut morphology and roughness.