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Data · dataset · 2024

Machine Learning Assisted Corrosion Behaviour Prediction of Dual-Engineered Ti6Al4V Alloy

Listed in Teesside University Research Data Repository

Corrosion experiments were conducted on different surface treated samples of Ti6Al4V alloy and data collected for machine learning model building.

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The raw/processed data used for this research work and the source coding file are attached in this folder.

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Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/zrcd7627fc.116 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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