A Computational Optimisation Study of Hip Implant Using Density Mapping Functionally Graded Biomimetic TPMS-based Lattice Structures
Mahtab Vafaeefar, Conall Quinn, Kevin M. Moerman, Ted J. Vaughan

TL;DR
This paper develops a computational framework for optimizing hip implants using biomimetic, functionally graded lattice structures inspired by bone remodelling, leading to improved stress distribution and bone response.
Contribution
It introduces a novel density mapping-based optimization method for designing porous, biomimetic lattice structures in hip implants to reduce stress shielding.
Findings
Lower density on implant sides, higher density medially
Enhanced stress transmission to surrounding bone
Improved bone formation at the bone-implant interface
Abstract
This study presents a computational optimisation framework of a hip implant through the development of a functionally graded biomimetic lattice structure, whose design was structurally optimised to limit stress shielding. The optimisation technique was inspired by the inverse of a bone remodelling algorithm, promoting an even stress distribution throughout the design region, by reducing the density and consequently the stiffness, in regions where strain energy was higher than the reference level. The result of the optimisation technique provided a non-uniform graded density distribution field that showed lower density level on the sides of the implant stem, and higher material density around the medial axis of the stem. The optimised material distribution was captured using mapping of a triply periodic minimal surface lattice structure on the implant, which resulted in porous lattice…
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Taxonomy
TopicsCellular and Composite Structures · Orthopaedic implants and arthroplasty · Bone Tissue Engineering Materials
