Neural network-based build time estimation for additive manufacturing

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Deep Learning 2021JCDE
Overview

Neural network-based build time estimation for additive manufacturing

Oh, Y., Sharp, M., Sprock, T., & Kwon, S. (2021). Neural network-based build time estimation for additive manufacturing: a performance comparison. Journal of Computational Design and Engineering, 8(5), 1243-1256, https://doi.org/10.1093/jcde/qwab044

(Phase 1) Input generation

Requirements

How to run

  • The code of the following files should be sequentially run in the Python script embedded in Blender 2.82
    • (Step 1) PartNormalization.py
    • (Step 2) PartGeneration.py
    • (Step 3) BuildTimeCaluculation(CURA).py
    • (Step 4) STLtoOBJ.py
    • (Step 5) Voxelization.py

(Phase 2) Build time estimation based on neural networks

Requirements

  • Tensorflow 2.2.0; Python 3.6.9; Keras 2.3.0
  • A dataset for metadata (a CSV file)
    • This is generated in Phase 1
  • A voxelization dataset (a H5 file)
    • This is generated in Phase 1

How to run

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