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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Mechanical behaviour of flexible 3D printed gyroid structures as a tuneable replacement for soft padding foam48citations
  • 2018Comparison of three-dimensional surface scanning techniques for capturing the external ear29citations

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Chart of shared publication
Lamont, Riki
1 / 1 shared
Forrestal, David
1 / 2 shared
Daley, Ryan
1 / 2 shared
Singh, Dilpreet
1 / 3 shared
Slattery, Peter
1 / 1 shared
Hafner, Louise
1 / 1 shared
Cruz, Rena
1 / 1 shared
Chart of publication period
2022
2018

Co-Authors (by relevance)

  • Lamont, Riki
  • Forrestal, David
  • Daley, Ryan
  • Singh, Dilpreet
  • Slattery, Peter
  • Hafner, Louise
  • Cruz, Rena
OrganizationsLocationPeople

article

Comparison of three-dimensional surface scanning techniques for capturing the external ear

  • Hafner, Louise
  • Powell, Sean
  • Cruz, Rena
Abstract

Congenital facial anomalies, such as microtia (malformation of the external ear), lead to significant psychosocial effects starting from early childhood. Three -dimensional (3D)scanning and advanced manufacturing are being investigated as a cheaper and more personalised method of fabricating reconstructive treatments for patients compared totraditional approaches . To date, most case studies have used expensive 3D scanners, yet, there is potential for low -cost devices to provide comparable results. This study aimed to investigate these different approaches. Both ears of 16 adult participants were scanned with three devices: Artec Spider (Artec Group), Intel ® RealSense™ (Intel), and the Apple iPhone ® 7 (Apple Inc.) combined with photogrammetry using 90, 60 and 30 photographs. The scanning time, processing time, accuracy, completeness, resolution and repeatability of each technique were assessed using the Artec Spider as a reference scanner. Our results show that the iPhone had the longest processing time however , this decreased nine -fold when reducing the number of photos from 90 to 30. There was no significant difference in the accuracy, completeness or repeatability of the iPhone scans with 90 photographs (1.4 ± 0.6 mm, 79.9%, 1.0 ± 0.1 mm), 60 photographs (1.2 ± 0.2, 79.3%, 0.9 ± 0.2 mm) or 30 photographs (1.2 ± 0.3 mm, 74.3%, 1.0 ± 0.2 mm). The Intel RealSesne performed significantly worse in each parameter (1.8 ± 03 mm; 46.6%, 1.4 ± 0.5). Additionally the RealSense had significantly lower resolution with not enough detail capture d for the application. These results demonstrate that the ear can be accurately 3D scanned using iPhone photographs. We would recommend capturing between 30 and 60 photographs of the ear to create a scan that is accurate but without the downfall of long pr ocessing time. Using these methods we aim to provide a more comfortable setting for the patient and a lower -cost and more personalised ear prosthesis.

Topics
  • impedance spectroscopy
  • surface