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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Cleary, Paul

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024A self-controlled case series study to measure the risk of SARS-CoV-2 infection associated with attendance at sporting and cultural events: the UK Events Research Programme events1citations
  • 2023Advances in Multiscale Modelling of Metal Additive Manufacturingcitations
  • 2021Progress Towards a Complete Model of Metal Additive Manufacturing5citations
  • 2018A Coupled B-SPH Model of Whole-body Equine Locomotion Over Two Track Surfacescitations
  • 2017Modelling Powder Flow in Metal Additive Manufacturing Systemscitations
  • 2017Workspace - a Scientific Workflow System for enabling Research Impactcitations
  • 2014Challenges in computational modelling of food breakdown and flavour release41citations
  • 2014Temperature and strain rate effects in cold spray investigated by smoothed particle hydrodynamics55citations
  • 2012Modelling spray coating using a combined CFD-DEM and spherical harmonic formulation51citations

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Chart of shared publication
Peh, Jerlyn
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Mansfield, Kathryn E.
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Trelfa, Anna
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Douglas, Ian J.
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Edmunds, W. John
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Boulter, Matthew
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Smith, Jenifer
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Fowler, Tom
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Cummins, Sharen
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Ritchie, David
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Phua, Arden
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Gunasegaram, Dayalan
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Sinnott, Matt
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Delaney, Gary
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Styles, Mark
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Passmore, Elyse
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Whitton, Chris
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Gray, Hans
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Pandy, Marcus
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Oh, Anselm
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Watkins, Damien
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Hetherton, Lachlan
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Jahedi, Mahnaz
1 / 10 shared
Prakash, Mahesh
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Rudman, Murray
1 / 1 shared
Hilton, James
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Chart of publication period
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Co-Authors (by relevance)

  • Peh, Jerlyn
  • Mansfield, Kathryn E.
  • Trelfa, Anna
  • Douglas, Ian J.
  • Edmunds, W. John
  • Boulter, Matthew
  • Smith, Jenifer
  • Fowler, Tom
  • Cummins, Sharen
  • Ritchie, David
  • Phua, Arden
  • Gunasegaram, Dayalan
  • Sinnott, Matt
  • Nguyen, Vu
  • Delaney, Gary
  • Styles, Mark
  • Passmore, Elyse
  • Whitton, Chris
  • Gray, Hans
  • Pandy, Marcus
  • Oh, Anselm
  • Watkins, Damien
  • Hetherton, Lachlan
  • Jahedi, Mahnaz
  • Prakash, Mahesh
  • Rudman, Murray
  • Hilton, James
OrganizationsLocationPeople

article

Modelling spray coating using a combined CFD-DEM and spherical harmonic formulation

  • Cleary, Paul
  • Hilton, James
Abstract

The ability to coat particles with a uniform film of a desired thickness is a key requirement in many industries such as pharmaceuticals, food processing and chemical manufacture. Controlling the distribution of the coating material during coating operations is essential for ensuring factors such as homogeneity in the coating thickness and prevention of agglomeration, which are common requirements in most types of coating applications. Despite the significant industrial and commercial importance of spray coating, few numerical models have been developed to model this process. Here, we detail the first computational model to incorporate particles, coating spray droplets and gas flow, dynamically interacting over an entire coating system. Particles and gas flow are modelled using a coupled DEM-CFD method, and spray droplets are modelled as individual Stokesian particles within the gas flow field. The coating model uses a newly developed method for mapping the coating coverage over each particle, based on a spherical harmonic formulation. This allows the coating to be evaluated at an intra-particle level on each individual particle. Distribution functions, such as coating quality and volume deposition, can be easily determined for the entire system at the inter-particle level. The method is applied to a test case of an fluidised bed spray coater, and the effects of varying geometry and system operating conditions are evaluated in terms of the coating coverage and quality. The method enables factors affecting coating distribution in such systems to be investigated and understood, and potential design optimisations to be evaluated.

Topics
  • Deposition
  • impedance spectroscopy
  • spray coating
  • discrete element method