FlowFrontNet : Improving Carbon Composite Manufacturing with CNNs


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Oct. 18, 2021, 7:46 a.m.

FlowFrontNet : Improving Carbon Composite Manufacturing with CNNs

Stieber, S., Schröter, N., Schiendorfer, A., Hoffmann, A., & Reif, W.
Stieber, S., Schröter, N., Schiendorfer, A., Hoffmann, A., & Reif, W. (2020). FlowFrontNet : Improving Carbon Composite Manufacturing with CNNs. ECML PKDD, 1–17.
DOI:  None      

Brief Description
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Why should we reproduce your paper?
To use data from a manufacturing process: RTM for carbon composite production.To see if you can handle large amounts of data: the 36 k injection runs contain a total of 5 m frames. Maybe it is possible for you to reach our performance on smaller parts of the data, which would be great.
What should reviewers focus on?

Resources

  Paper URL: https://www.researchgate.net/publication/341908239_FlowFrontNet_Improving_Carbon_Composite_Manufacturing_with_CNNs
  Data URL: https://figshare.com/articles/dataset/FlowFrontNet_Data_Sensor_to_Flowfront_Dryspot/12063480
  Code URL: https://github.com/isse-augsburg/rtm-predictions
Tags: Python

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