Purpose
The purpose of this paper is to present a new method for representing
heterogeneous materials using nested STL shells, based, in particular, on
the density distributions of human bones.
Design/methodology/approach
Nested STL shells, called Matryoshka models, are described, based on
their namesake Russian nesting dolls. In this approach, polygonal models,
such as STL shells, are “stacked” inside one another to
represent different material regions. The Matryoshka model addresses the
challenge of representing different densities and different types of bone
when reverse engineering from medical images. The Matryoshka model is
generated via an iterative process of thresholding the Hounsfield Unit (HU)
data using computed tomography (CT), thereby delineating regions of
progressively increasing bone density. These nested shells can represent
regions starting with the medullary (bone marrow) canal, up through and
including the outer surface of the bone.
Findings
The Matryoshka approach introduced can be used to generate accurate
models of heterogeneous materials in an automated fashion, avoiding the
challenge of hand-creating an assembly model for input to multi-material
additive or subtractive manufacturing.
Originality/Value
This paper presents a new method for describing heterogeneous
materials: in this case, the density distribution in a human bone. The
authors show how the Matryoshka model can be used to plan harvesting
locations for creating custom rapid allograft bone implants from donor bone.
An implementation of a proposed harvesting method is demonstrated, followed
by a case study using subtractive rapid prototyping to harvest a bone
implant from a human tibia surrogate.