Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Gill, H. S.

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in Cooperation with on an Cooperation-Score of 37%

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Publications (18/18 displayed)

  • 2024Experiments and numerical modelling of secondary flows of blood and shear-thinning blood analogue fluids in rotating domains2citations
  • 2024Auxetic fixation devices can achieve superior pullout performances compared to standard fixation concepts3citations
  • 2021Properties of PMMA end cap holders affect FE stiffness predictions of vertebral specimenscitations
  • 20213D Printed Medical Grade Ti-6Al-4V Osteosynthesis Devices Meet the Requirements for Tensile Strength, Bending, Fatigue and Biocompatibilitycitations
  • 2019Evaluating strength of 3D printed screw threads for patient-specific osteosynthesis platescitations
  • 2019Evaluation of optimised cervical spine viscoelastic elements for sport injury analysiscitations
  • 2018The effect of plate design, bridging span, and fracture healing on the performance of high tibial osteotomy plates – an experimental and finite element study.39citations
  • 2017Validated cemented socket model for optimising acetabular fixationcitations
  • 2017Effect of absorbed fatty acids on physical properties of ultra-high molecular weight polyethylenecitations
  • 2017Use of contrast agents on polymeric materialscitations
  • 2016A Python Package to Assign Material Properties of Bone to Finite Element Models from within Abaqus Softwarecitations
  • 2016An open source software tool to assign the material properties of bone for ABAQUS finite element simulations24citations
  • 2016A validated specimen specific finite element model of vertebral body failurecitations
  • 2016Variations in Cortical Thickness of Composite Femur Test Specimenscitations
  • 2015Tibial Fracture after Unicompartmental Knee Replacement: The Importance of Surgical Cut Accuracycitations
  • 2014Classification of retinal ganglion cells in the southern hemisphere lamprey Geotria australis (Cyclostomata)14citations
  • 2014Effect of Q-switched laser surface texturing of titanium on osteoblast cell responsecitations
  • 2013Fracture of mobile unicompartmental knee bearings14citations

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Kelly, Nathaniel
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Fraser, Katharine
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Cookson, Andrew
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Barnett, Elinor
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Loukaides, Evripides G.
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Gheduzzi, Sabina
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Macleod, Alisdair
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Patterson, Michael
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Serrancoli, Gil
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Sleeman, J.
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Hernandez, B. A.
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Pandit, Hemant
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Murray, David
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Coimbra, Joao
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Fletcher, Lee
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Potter, I. C.
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Collin, Shaun
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Scotchford, C. A.
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Voisey, K. T.
1 / 9 shared
Martin, L.
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Murray, David W.
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Pandit, Hemant G.
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Oconnor, John J.
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Co-Authors (by relevance)

  • Kelly, Nathaniel
  • Fraser, Katharine
  • Cookson, Andrew
  • Barnett, Elinor
  • Fletcher, James
  • Loukaides, Evripides G.
  • Pegg, Elise Catherine
  • Hernandez, Bruno Agostinho
  • Gheduzzi, Sabina
  • Macleod, Alisdair
  • Taylor, Ryan
  • Casonato, Alberto
  • Patterson, Michael
  • Harris, Alex
  • Cazzola, Dario
  • Preatoni, Ezio
  • Fregly, Benjamin J.
  • Serrancoli, Gil
  • Toms, Andrew
  • Gosiewski, Jan
  • Zaribaf, Parnian Hossein Zadeh
  • Mahmoodi, P.
  • Sleeman, J.
  • Hernandez, B. A.
  • Pandit, Hemant
  • Murray, David
  • Coimbra, Joao
  • Fletcher, Lee
  • Potter, I. C.
  • Collin, Shaun
  • Scotchford, C. A.
  • Voisey, K. T.
  • Martin, L.
  • Murray, David W.
  • Pandit, Hemant G.
  • Oconnor, John J.
OrganizationsLocationPeople

document

Variations in Cortical Thickness of Composite Femur Test Specimens

  • Gill, H. S.
  • Macleod, Alisdair
Abstract

Introduction The majority of experimental biomechanical studies relating to the proximal femur use synthetic composite test specimens because of the advantages in terms of cost, availability and preservation. Studies report significantly (p < 0.02) lower variability than cadaveric bone [1] with standard deviations of up to 16.3% for flexural rigidity, torsional rigidity and axial stiffness measurements [1–3]. In comparison, the variability is between 20 and 200 times greater for cadaveric bone [4]. These studies have considered variability in terms of global measures, however, to the authors’ knowledge, no data exists quantifying the variability in local properties. Variability in cortical thickness, for example, would influence strain predictions which are key to thorough validation of a model. The aim of the study was to quantify the variability in cortical thickness for commonly used composite femurs. The study also investigated the influence that these variations have in experimental testing and for validation purposes.Methods Fourth generation Sawbones® composite femurs (n=4) instrumented with tri-axial strain gauges at four locations and CT-scanned (Siemens S5VB40B). The loading applied at the hip used the averaged peak joint reaction vector during walking [5] up to a maximum load of 500N. Variations in cortical thickness were evaluated for the four specimens around the neck region at eight locations using the CT-scanned geometry. A generic and four specimen specific finite element models were created using manufacturers data and validated using experimentally measured strains.Results We found that there was considerable variability in the cortical thickness of the composite specimens (up to 48% difference or 16.1% standard deviation of the mean). The study found that there was significantly (p < 0.018) greater variability in experimentally measured strain around the femoral neck than around the shaft. We found that the generic model was not able to satisfactorily match the experimentally measured strains (average error of 135%), however, the predictions of the four specimen specific models were within an average of 13.8% (range: 5.9% to 18.3%). A sensitivity study on alignment indicated that the variability in the predictions at the proximal strain gauges were most likely due to geometric variations between the specimens.Conclusions We want to highlight the fact that considerable variations in cortical thickness between fourth generation sawbones models exist. Future studies relying on such measurements need to account for this variability when using composite test specimens, particularly if validation relies upon strain gauge readings made in the femoral neck region.References 1. Elfar et al., J Am Ac of Orth Surg 2014; 22: 111–20.2. Gardner et al., Annals of Biomed Eng 2010; 38: 613–20.3. Heiner et al., J Biomech 2008; 41: 3282–4.4. Cristofolini et al., J Biomech1996; 29: 525–35.5. Bergmann et al., J Biomech 2001; 34: 859–71.

Topics
  • impedance spectroscopy
  • composite
  • hot isostatic pressing
  • additive manufacturing