Table · dataset · 2019
Quantitative analysis of precipitate coarsening in V and V-Mo microalloyed steel
Listed in figshare
Ever-more stringent environmental regulations have driven the automotive industry to continuously develop lightweight solutions in automotive body sheet materials, without compromising of passenger safety and manufacturing robustness.
Description
Steels with small amounts of alloying elements such as vanadium, molybdenum (also called micro-alloyed steels) strengthened via nano-precipitates, are potential candidate materials fitting these requirements.
To be able to control the dispersion of nano-precipitates and understands its effect on mechanical properties, a detailed understanding of their formation and growth kinetics at the nanoscale is essential. This proposal is a part of an ongoing EPSRC funded (£600K from Sep. 2014-Sep. 2017) project, which aims to develop new micro-alloyed steels with enhanced strength. This project is collaboration between the University of Warwick and Tata steel.<br><br>Data record consists of two part DOI links to data records.
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Data was taken on a SANS2D instrument and is in ISIS RAW/Nexus format. ISIS RAW format is a locally created binary based format. Analysis programs such as Open GENIE or Mantid can be used to read the files.
NeXus based data file are data that is stored using the NeXus Data Format with its underlying HDF5 representation. The file contents can be viewed using generic HDF5 utilities such as HDFView or analysis programs such as Open GENIE or Mantid.
Links
Where it is published
- DOI doi.org/10.82444/warw.33803431.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Automotive engineering materials 77%
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33803431 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:field:400202 | enrichment · figshare com | taxonomy-embedding@1.0.0 | title+keywords+description (77%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |