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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University of Dundee

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2016Modelling and characterisation of a ultrasound-actuated needle for improved visibility in ultrasound-guided regional anaesthesia and tissue biopsy14citations
  • 2016Loose powder detection and surface characterization in selective laser sintering via optical coherence tomography16citations
  • 2013Reduced penetration force through ultrasound activation of a standard needle13citations
  • 2012New piezocrystal material in the development of a 96-element array transducer for MR-guided focused ultrasound surgery3citations
  • 2012Characterization of PMN-29%PT as a function of temperature and pressure1citations
  • 2006Superimposed ultrasonic oscillations in compression tests of aluminium74citations
  • 2002A numerical and experimental study of the indentation mechanics of plasticinecitations
  • 2002Wedge indentation of an elasto-viscoplastic materialcitations

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Chart of shared publication
Hilgers, A.
1 / 2 shared
Sadiq, M.
1 / 1 shared
Corner, G.
1 / 1 shared
Kuang, Y.
1 / 4 shared
Cochran, S.
2 / 14 shared
Hirsch, Matthias
1 / 8 shared
Guan, Guangying
1 / 3 shared
Clare, Adam T.
1 / 18 shared
Leach, Richard K.
1 / 12 shared
Syam, Wahyudin P.
1 / 3 shared
Corner, George
1 / 4 shared
Liao, Xiaochun
1 / 1 shared
Sadiq, Muhammad
1 / 8 shared
Cochran, Sandy
2 / 33 shared
Habeshaw, Roderick
1 / 1 shared
Fortine, Julien
1 / 1 shared
Démoré, Christine
1 / 3 shared
Qiu, Zhen
1 / 14 shared
Sadiq, M. R.
1 / 1 shared
Demore, C.
1 / 2 shared
Qiu, Z.
1 / 3 shared
Daud, Yusof
1 / 1 shared
Lucas, Margaret
2 / 10 shared
Lucas, M.
1 / 8 shared
Adams, Mj
1 / 1 shared
Adams, Michael J.
1 / 3 shared
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2013
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Co-Authors (by relevance)

  • Hilgers, A.
  • Sadiq, M.
  • Corner, G.
  • Kuang, Y.
  • Cochran, S.
  • Hirsch, Matthias
  • Guan, Guangying
  • Clare, Adam T.
  • Leach, Richard K.
  • Syam, Wahyudin P.
  • Corner, George
  • Liao, Xiaochun
  • Sadiq, Muhammad
  • Cochran, Sandy
  • Habeshaw, Roderick
  • Fortine, Julien
  • Démoré, Christine
  • Qiu, Zhen
  • Sadiq, M. R.
  • Demore, C.
  • Qiu, Z.
  • Daud, Yusof
  • Lucas, Margaret
  • Lucas, M.
  • Adams, Mj
  • Adams, Michael J.
OrganizationsLocationPeople

article

Loose powder detection and surface characterization in selective laser sintering via optical coherence tomography

  • Hirsch, Matthias
  • Guan, Guangying
  • Clare, Adam T.
  • Leach, Richard K.
  • Huang, Zhihong
  • Syam, Wahyudin P.
Abstract

Defects produced during selective laser sintering (SLS) are difficult to non-destructively detect after build completion without the use of X-ray-based methods. Overcoming this issue by assessing integrity on a layer-by-layer basis has become an area of significant interest for users of SLS apparatus. Optical coherence tomography (OCT) is used in this study to detect surface texture and sub-surface powder, which is un-melted/insufficiently sintered, is known to be a common cause of poor part integrity and would prevent the use of SLS where applications dictate assurance of defect-free parts. To demonstrate the capability of the instrument and associated data-processing algorithms, samples were built with graduated porosities which were embedded in fully dense regions in order to simulate defective regions. Simulated in situ measurements were then correlated with the process parameters used to generate variable density regions. Using this method, it is possible to detect loose powder and differentiate between densities of ±5% at a sub-surface depth of approximately 300 μm. In order to demonstrate the value of OCT as a surface-profiling technique, surface texture datasets are compared with focus variation microscopy. Comparable results are achieved after a spatial bandwidth- matching procedure.

Topics
  • density
  • impedance spectroscopy
  • surface
  • tomography
  • texture
  • defect
  • sintering
  • laser sintering
  • microscopy
  • static light scattering