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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Valli, G.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2022Relationship between microstructure, mechanical and magnetic properties of pure iron produced by laser powder bed fusion (L-PBF) in the as-built and stress relieved conditions14citations
  • 2020Effects of powders and process parameters on density and hardness of A357 aluminum alloy fabricated by selective laser melting45citations
  • 2014Receptor modelling of airborne particulate matter in the vicinity of a major steelworks site81citations

Places of action

Chart of shared publication
Spizzo, F.
1 / 9 shared
Ceschini, L.
2 / 16 shared
Zanni, M.
1 / 1 shared
Del Bianco, L.
1 / 5 shared
Fortunato, A.
2 / 20 shared
Liverani, E.
1 / 6 shared
Tonelli, L.
1 / 2 shared
Beddows, D. C. S.
1 / 2 shared
Vecchi, R.
1 / 1 shared
Calzolai, G.
1 / 2 shared
Harrison, Roy M.
1 / 3 shared
Taiwo, Adewale
1 / 1 shared
Shi, Zongbo
1 / 2 shared
Nava, S.
1 / 1 shared
Lucarelli, F.
1 / 1 shared
Chart of publication period
2022
2020
2014

Co-Authors (by relevance)

  • Spizzo, F.
  • Ceschini, L.
  • Zanni, M.
  • Del Bianco, L.
  • Fortunato, A.
  • Liverani, E.
  • Tonelli, L.
  • Beddows, D. C. S.
  • Vecchi, R.
  • Calzolai, G.
  • Harrison, Roy M.
  • Taiwo, Adewale
  • Shi, Zongbo
  • Nava, S.
  • Lucarelli, F.
OrganizationsLocationPeople

article

Receptor modelling of airborne particulate matter in the vicinity of a major steelworks site

  • Beddows, D. C. S.
  • Vecchi, R.
  • Valli, G.
  • Calzolai, G.
  • Harrison, Roy M.
  • Taiwo, Adewale
  • Shi, Zongbo
  • Nava, S.
  • Lucarelli, F.
Abstract

In this study, the Multilinear Engine (ME-2) receptor model was applied to speciated particulate matter concentration data collected with two different measuring instruments upwind and downwind of a steelworks complex in Port Talbot, South Wales, United Kingdom. Hourly and daily PM samples were collected with Streaker and Partisol samplers, respectively, during a one month sampling campaign between April 18 and May 16, 2012. Daily samples (PM10, PM2.5, PM2.5-10) were analysed for trace metals and water-soluble ions using standard procedures. Hourly samples (PM2.5 and PM2.5-10) were assayed for 22 elements by Particle Induced X-ray Emission (PIXE). PM10 data analysis using ME-2 resolved 6 factors from both datasets identifying different steel processing units including emissions from the blast furnaces (BF), the basic oxygen furnace steelmaking plant (BOS), the coke-making plant, and the sinter plant. Steelworks emissions were the main contributors to PM10 accounting for 45% of the mass when including also secondary aerosol. The blast furnaces were the largest emitter of primary PM10 in the study area, explaining about one-fifth of the mass. Other source contributions to PM10 were from marine aerosol (28%), traffic (16%), and background aerosol (11%). ME-2 analysis was also performed on daily PM2.5 and PM2.5-10 data resolving 7 and 6 factors, respectively. The largest contributions to PM2.5-10 were from marine aerosol (30%) and blast furnace emissions (28%). Secondary components explained one-half of PM2.5 mass. The influence of steelworks sources on ambient particulate matter at Port Talbot was distinguishable for several separate processing sections within the steelworks in all PM fractions.

Topics
  • Oxygen
  • steel
  • particle-induced X-ray emission spectroscopy