Topology Optimization for Large-Scale Additive Manufacturing: Generating designs tailored to the deposition nozzle size

Additive Manufacturing (AM) processes intended for large-scale components deposit large
volumes of material to shorten process duration. This reduces the resolution of the AM process,
which is typically defined by the deposition nozzle size. If the resolution limitation is not
considered when designing for Large-Scale Additive Manufacturing (LSAM), difficulties can arise
in the manufacturing process, which may require the adaptation of deposition parameters. This
work incorporates the nozzle size constraint into Topology Optimisation (TO) in order to
generate optimised designs suitable to the process resolution. This article proposes and
compares two methods, which are based on existing TO techniques that enable control of
minimum and maximum member size, and of minimum cavity size. The first method requires
the minimum and maximum member size to be equal to the deposition nozzle size, thus
design features of uniform width are obtained. The second method defines the size of solid
members sufficiently small for the resulting structure to resemble a structural skeleton, which
can be interpreted as the deposition path. Through filtering and projection techniques, the thin
structures are thickened according to the chosen nozzle size. Thus, a topology tailored to the
deposition nozzle size is obtained along with a deposition proposal. The methods are
demonstrated and assessed using 2D and 3D benchmark problems.