Additive manufacturing of Functionally Graded Lattice Structures for personalized Below-Knee prosthetic dampers

Functionally Graded Cellular Structures (FGCSs) have a multitude of applications to a wide range of industries. Utilising the ever-progressing technology of Additive Manufacturing (AM), FGCSs can be applied to control material grading and achieve the desired mechanical properties. The current study explores the design and optimisation of FGCSs for AM, with a focus on improving the compression and impact performance of Below Knee (BK) prosthetic limbs made of thermoplastic polyurethane (TPU). A multiscale research methodology integrating Topology Optimization (TO), Finite Element Analysis (FEA), and Design of Experiments (DoE) was adopted to optimise lattice structures in terms of stiffness and lightweight properties. Two-unit cell designs were considered in the study: Schwarz P gyroid and body-centered cubic (BCC). Response Surface Methodology (RSM) was implemented to analyse the effect of minimum and maximum cell wall thickness, cell size, and unit cell type on the mechanical performance of TPU FGCS structures. The results indicated that a Schwarz P FGCS structure with cell size, minimum and maximum cell wall thickness of 6, 0.9 and 2.8 mm, respectively, could be optimal for a compromise between performance and weight. In this optimized case, stiffness and volume fraction values of 684 N/mm and 0.64 were obtained, respectively. The study also presents a proof-of-concept design for a BK prosthetic damper, highlighting the potential of FGCSs to enhance patient comfort, reduce manufacturing costs, and enable personalised designs through 3D scanning and AM. The obtained results could be a step forward towards the incorporation of AM technologies in prosthetics, offering a pathway to lightweight, cost-effective, and functionally tailored solutions.

Publication Details

Journal
Research Portal (King's College London)
Published
2025-09-18
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additive manufacturing of Functionally Graded Lattice Structures for personalized Below-Knee prosthetic dampers

Research Portal (King's College London)
Topology Optimization in Engineering
article

Additive manufacturing of Functionally Graded Lattice Structures for personalized Below-Knee prosthetic dampers

article en

Abstract

Functionally Graded Cellular Structures (FGCSs) have a multitude of applications to a wide range of industries. Utilising the ever-progressing technology of Additive Manufacturing (AM), FGCSs can be applied to control material grading and achieve the desired mechanical properties. The current study explores the design and optimisation of FGCSs for AM, with a focus on improving the compression and impact performance of Below Knee (BK) prosthetic limbs made of thermoplastic polyurethane (TPU). A multiscale research methodology integrating Topology Optimization (TO), Finite Element Analysis (FEA), and Design of Experiments (DoE) was adopted to optimise lattice structures in terms of stiffness and lightweight properties. Two-unit cell designs were considered in the study: Schwarz P gyroid and body-centered cubic (BCC). Response Surface Methodology (RSM) was implemented to analyse the effect of minimum and maximum cell wall thickness, cell size, and unit cell type on the mechanical performance of TPU FGCS structures. The results indicated that a Schwarz P FGCS structure with cell size, minimum and maximum cell wall thickness of 6, 0.9 and 2.8 mm, respectively, could be optimal for a compromise between performance and weight. In this optimized case, stiffness and volume fraction values of 684 N/mm and 0.64 were obtained, respectively. The study also presents a proof-of-concept design for a BK prosthetic damper, highlighting the potential of FGCSs to enhance patient comfort, reduce manufacturing costs, and enable personalised designs through 3D scanning and AM. The obtained results could be a step forward towards the incorporation of AM technologies in prosthetics, offering a pathway to lightweight, cost-effective, and functionally tailored solutions.

Research Portal (King's College London)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Topology Optimization in Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Additive manufacturing of Functionally Graded Lattice Structures for personalized Below-Knee prosthetic dampers · Research Portal (King's College London) (2025) | TGRS Research Map | TGRS