Abstract
Aseptic loosening is the most common cause of failure in load bearing orthopaedic implants. This is most often attributed to stress shielding, which is caused by a mismatch in mechanical properties between the implant and bone, predominantly stiffness. The implant causes a redistribution of the forces through the bone leading to localised tissue resorption in low stress areas and over time loosening of the implant. To address this, the implant design may be modified to introduce porous structures that reduced overall stiffness.
Conventional methods of creating porous structures include the space holder method and gas foaming, although these allow control of the pore size and volume fraction, the position of the voids is random and potentially non-uniform, creating unpredictable mechanical properties. Using additive manufacture predictable porous lattice structures can be built. Two methods for creating lattice structure are explored here: controlled stochastic lattices, and layers of repeating unit cells. Due to the predictable nature of these design methods the mechanical properties can be tailored to suit the needs of the implants. In addition to mechanical optimisation the porous lattice structures can be optimised for osseointegration properties. The ability of the tissue to grow into the implant are affected by; the size of the pores, how interconnected the pores are, the overall void fraction (porosity), the shape and roughness of the pores, and whether the structure is coated.
Although additive manufacture allows great design freedoms, there are also some manufacturing constraints to consider including resolution which is determined by powder and laser spot size, and strut angle since these cannot be too close to horizontal or they will collapse during the build unless supported. This preliminary work uses Finite Element Analysis to model the compressive properties of lattice structures with different design parameters, with the intention to optimise for mechanical, osseointegration and manufacturability properties.
Cylinders of the lattice structures were generated in Simpleware ScanIP (Synopsys, Exeter, UK) and their compression was modelled in Ansys Workbench 18.2 (Canonsburg, PA, USA) in accordance with ISO 13314. Stress distributions for each lattice structure were produced which showed the stochastic lattice did not undergo banded deformation unlike the repeating unit cell based lattices. Future work will physically test the lattices and feed that data back into the model for further optimisation. Other relevant mechanical testing will be modelled and performed in order to choose the optimal lattice design for future implants.
