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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Materials Map under construction

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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024In-situ Heating-Stage EBSD Validation of Algorithms for Prior Austenite Grain Reconstruction in Steel17citations
  • 2024Heat Treatment Optimisation of Electron Beam Welded Reactor Pressure Vessel Steelcitations
  • 2023A Rapid, Open-Source CCT Predictor for Low-Alloy Steels, and Its Application to Compositionally Heterogeneous Material7citations
  • 2023Dynamic Precipitation in Supersaturated Al–Zn–Mg–Cu Alloy During Warm Stretching4citations
  • 2022The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling2citations
  • 2019Interaction of a tripeptide with titania surfaces: RGD adsorption on rutile TiO2(110) and model dental implant surfaces8citations
  • 2017Investigation of the influence of heat balance shifts on the freeze microstructure and composition in aluminum smelting bath system: Cryolite-CaF2-AlF3-Al2O313citations
  • 2011Predicting wear of UHMWPE: decreasing wear rate following a change in direction33citations
  • 2010Verification of Predicted Knee Replacement Kinematics During Simulated Gait in the Kansas Knee Simulator80citations

Places of action

Chart of shared publication
Pickering, Ed
3 / 19 shared
Donoghue, Jack
1 / 29 shared
Smith, Albert D.
1 / 3 shared
Burnett, Timothy
2 / 29 shared
Moore, Katie L.
1 / 2 shared
Bruce, Kirstie
1 / 1 shared
Pickering, Ed J.
1 / 3 shared
Fellowes, Jonathan W.
1 / 5 shared
Li, Kexue
1 / 7 shared
Burling, Luke D.
1 / 1 shared
Francis, John A.
1 / 23 shared
Gyves, Ken
1 / 1 shared
Piemonte, Martina
1 / 1 shared
Collins, Joshua
1 / 4 shared
Fellowes, Jonathan
1 / 7 shared
Jessner, Peter
1 / 2 shared
Robson, Joseph
1 / 28 shared
Ma, Ziyu
1 / 2 shared
Hill, P. O.
1 / 1 shared
Rawson, M. J.
1 / 3 shared
Fellowes, J. W.
1 / 2 shared
Murphy, Matthew
1 / 1 shared
Hussain, Hadeel
1 / 11 shared
Silikas, Nikolaos
1 / 93 shared
Wagstaffe, Michael
1 / 3 shared
Thomas, Andrew G.
1 / 28 shared
Fallah-Mehrjardi, Ata
1 / 13 shared
Jak, Evgueni
1 / 156 shared
Dorreen, Mark
1 / 1 shared
Liu, Jingjing
1 / 5 shared
Strickland, Michael A.
1 / 1 shared
Dressler, Matthew R.
1 / 1 shared
Render, Todd D.
1 / 1 shared
Ernsberger, Craig N.
1 / 1 shared
Clary, Chadd W.
1 / 1 shared
Maletsky, Lorin P.
1 / 1 shared
Petrella, Anthony J.
1 / 1 shared
Rullkoetter, Paul J.
1 / 1 shared
Chart of publication period
2024
2023
2022
2019
2017
2011
2010

Co-Authors (by relevance)

  • Pickering, Ed
  • Donoghue, Jack
  • Smith, Albert D.
  • Burnett, Timothy
  • Moore, Katie L.
  • Bruce, Kirstie
  • Pickering, Ed J.
  • Fellowes, Jonathan W.
  • Li, Kexue
  • Burling, Luke D.
  • Francis, John A.
  • Gyves, Ken
  • Piemonte, Martina
  • Collins, Joshua
  • Fellowes, Jonathan
  • Jessner, Peter
  • Robson, Joseph
  • Ma, Ziyu
  • Hill, P. O.
  • Rawson, M. J.
  • Fellowes, J. W.
  • Murphy, Matthew
  • Hussain, Hadeel
  • Silikas, Nikolaos
  • Wagstaffe, Michael
  • Thomas, Andrew G.
  • Fallah-Mehrjardi, Ata
  • Jak, Evgueni
  • Dorreen, Mark
  • Liu, Jingjing
  • Strickland, Michael A.
  • Dressler, Matthew R.
  • Render, Todd D.
  • Ernsberger, Craig N.
  • Clary, Chadd W.
  • Maletsky, Lorin P.
  • Petrella, Anthony J.
  • Rullkoetter, Paul J.
OrganizationsLocationPeople

article

Verification of Predicted Knee Replacement Kinematics During Simulated Gait in the Kansas Knee Simulator

  • Clary, Chadd W.
  • Maletsky, Lorin P.
  • Petrella, Anthony J.
  • Taylor, Mark
  • Rullkoetter, Paul J.
Abstract

<jats:p>Evaluating total knee replacement kinematics and contact pressure distributions is an important element of preclinical assessment of implant designs. Although physical testing is essential in the evaluation process, validated computational models can augment these experiments and efficiently evaluate perturbations of the design or surgical variables. The objective of the present study was to perform an initial kinematic verification of a dynamic finite element model of the Kansas knee simulator by comparing predicted tibio- and patellofemoral kinematics with experimental measurements during force-controlled gait simulation. A current semiconstrained, cruciate-retaining, fixed-bearing implant mounted in aluminum fixtures was utilized. An explicit finite element model of the simulator was developed from measured physical properties of the machine, and loading conditions were created from the measured experimental feedback data. The explicit finite element model allows both rigid body and fully deformable solutions to be chosen based on the application of interest. Six degrees-of-freedom kinematics were compared for both tibio- and patellofemoral joints during gait loading, with an average root mean square (rms) translational error of 1.1 mm and rotational rms error of 1.3 deg. Model sensitivity to interface friction and damping present in the experimental joints was also evaluated and served as a secondary goal of this paper. Modifying the metal-polyethylene coefficient of friction from 0.1 to 0.01 varied the patellar flexion-extension and tibiofemoral anterior-posterior predictions by 7 deg and 2 mm, respectively, while other kinematic outputs were largely insensitive.</jats:p>

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • aluminium
  • coefficient of friction