Additional data for Understanding and predicting defect formation in automated fibre placement pre-preg laminates

This repository contains a document where all the equations used for the cure simulation models and all the material parameters used in the paper "Understanding and predicting defect formation in automated fibre placement pre-preg laminates"(https://doi.org/10.1016/j.compositesa.2017.08.008) are listed. The corresponding research was conducted under the EPSRC funded research grant: Centre for Innovative Manufacturing in Composites project “Defect Generation Mechanisms in Thick and Variable Thickness Composite Parts - Understanding, Predicting and Mitigation” (DefGen), [EP/I033513/1].

Creator(s) Oliver Nixon-Pearson, Jonathan Belnoue, Dmitry Ivanov, Stephen Hallett
Funder UK Engineering Physical Sciences Research Council
Publication date 07 Aug 2017
Language eng
Publisher University of Bristol
Licence Non-Commercial Government License for public sector information
DOI 10.5523/bris.x9rik93lx3tp1yeup4pe8kbti
Complete download (zip) https://data.bris.ac.uk/datasets/x9rik93lx3tp1yeup4pe8kbti/x9rik93lx3tp1yeup4pe8kbti.zip
Citation Oliver Nixon-Pearson, Jonathan Belnoue, Dmitry Ivanov, Stephen Hallett (2017): Additional data for Understanding and predicting defect formation in automated fibre placement pre-preg laminates. https://doi.org/10.5523/bris.x9rik93lx3tp1yeup4pe8kbti
Total size 564 KiB

Data Resources