Data supporting: 'In-process nip point temperature estimation in automated tape placement based on analytical solution and remote thermal measurements'
dc.contributor.author | Danezis, Anastasios | |
dc.contributor.author | Skordos, Alex | |
dc.contributor.author | Williams, David | |
dc.date.accessioned | 2024-06-07T03:33:22Z | |
dc.date.available | 2024-06-07T03:33:22Z | |
dc.date.issued | 2022-08-31 15:50 | |
dc.description.abstract | FE and 1D predictions comparison: nip point temperature estimates by the analytical scheme and FE model.Inverse solution data: tool surface temperatures before and after the addition of Gaussian noise, irradiance profile applied in FE model and its approximations using the inverse solution. Metallic and insulating tool material.Example application- power variation: contains the data of the virtual experiment generated by the FE model, and analytical scheme estimates for different scenarios. | |
dc.description.sponsorship | EPSRC Centre for Doctoral Training in Composites Manufacture | |
dc.identifier.citation | Danezis, Anastasios; Skordos, Alex; Williams, David (2022). Data supporting: 'In-process nip point temperature estimation in automated tape placement based on analytical solution and remote thermal measurements'. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.18093260 | |
dc.identifier.doi | 10.17862/cranfield.rd.18093260 | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/22126 | |
dc.publisher | Cranfield University | |
dc.relation.isreferencedby | https://doi.org/10.1177/08927057221122095' | |
dc.rights | CC BY 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | 'Process modelling' | |
dc.subject | 'Process monitoring' | |
dc.subject | 'Composite and Hybrid Materials' | |
dc.subject | 'Aerospace Materials' | |
dc.subject | 'Automated tape placement' | |
dc.title | Data supporting: 'In-process nip point temperature estimation in automated tape placement based on analytical solution and remote thermal measurements' | |
dc.type | Dataset |
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