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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Laser powder bed fusion of a β titanium alloy: Microstructural development, post-processing, and mechanical behaviour12citations
  • 2022In silico evaluation of additively manufactured 316L stainless steel stent in a patient-specific coronary artery10citations
  • 2022A Convolutional Neural Network (CNN) classification to identify the presence of pores in powder bed fusion images38citations

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Chart of shared publication
Ibrahim, Peter
1 / 3 shared
Attallah, Moataz Moataz
2 / 96 shared
He, Ran
1 / 3 shared
Langi, Enzoh
1 / 6 shared
Vogt, Felix
1 / 2 shared
Silberschmidt, Vadim V.
1 / 524 shared
Zhao, Liguo
1 / 13 shared
Ansari, Muhammad Ayub
1 / 1 shared
Crampton, Andrew
1 / 2 shared
Attallah, Moataz
1 / 3 shared
Cai, Biao
1 / 13 shared
Chart of publication period
2024
2022

Co-Authors (by relevance)

  • Ibrahim, Peter
  • Attallah, Moataz Moataz
  • He, Ran
  • Langi, Enzoh
  • Vogt, Felix
  • Silberschmidt, Vadim V.
  • Zhao, Liguo
  • Ansari, Muhammad Ayub
  • Crampton, Andrew
  • Attallah, Moataz
  • Cai, Biao
OrganizationsLocationPeople

document

In silico evaluation of additively manufactured 316L stainless steel stent in a patient-specific coronary artery

  • He, Ran
  • Langi, Enzoh
  • Vogt, Felix
  • Garrard, Rebecca
  • Attallah, Moataz Moataz
  • Silberschmidt, Vadim V.
  • Zhao, Liguo
Abstract

Additive manufacturing (AM) is an emerging method for the fabrication of stents, which is cost-saving and capable of producing personalised stent designs. However, poor surface finish and dimension discrepancy in the manufactured stents can significantly affect not only their own mechanical behaviour but also mechanical response of arteries. This study investigates the effects of surface irregularities and dimension discrepancy of a 316L stainless steel stent, manufactured using laser powder bed fusion (LPBF), on its biomechanical performance, in comparison with the original design and a commercial stent. In silico simulations of stent deployment in a patient-specific coronary artery, based on intravital optical coherency tomography imaging, are conducted to assess the stent deformation as well as arterial stress and damage. Severe plastic strain concentrations (with a maximum value of 1.93) occur in the LPBF stent after deployment due to surface irregularities, suggesting a high risk of stent fracture. The LPBF stent is harder to expand due to its thicker struts and closed-cell design (diameter of 4.14 mm at the peak inflating pressure during deployment, compared to 4.58 mm and 4.65 mm for the designed and MULTI-LINK RX ULTRA stents, respectively). Also, the LPBF stent induces a higher level of stress concentration (with a maximum value of 23.04 MPa) to the arterial layers, suggesting a higher risk of tissue damage and in-stent restenosis. This study demonstrates a clear need for further development of the AM process for manufacturing medical implants, especially the surface finish and dimension accuracy.

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • stainless steel
  • simulation
  • tomography
  • selective laser melting