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

Dataset

Description

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].
Date made available5 Aug 2017
PublisherUniversity of Bristol

Research Output

  • 1 Article (Academic Journal)

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

Belnoue, J., Mesogitis, T., Nixon-Pearson, O., Kratz, J., Ivanov, D., Partridge, I., Potter, K. & Hallett, S., Nov 2017, In : Composites Part A: Applied Science and Manufacturing. 102, C, p. 196-206 10 p.

Research output: Contribution to journalArticle (Academic Journal)

Open Access
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  • 31 Citations (Scopus)
    505 Downloads (Pure)

    Cite this

    Nixon-Pearson, O. (Creator), Belnoue, J. (Creator), Ivanov, D. (Creator), Hallett, S. (Creator) (5 Aug 2017). Additional data for Understanding and predicting defect formation in automated fibre placement pre-preg laminates. University of Bristol. 10.5523/bris.x9rik93lx3tp1yeup4pe8kbti