Non-destructive inspection for additive manufacturing lattice structures using a convolutional neural network and electrical resistance analysis
Published: 25 June 2026| Version 1 | DOI: 10.17632/dn7p5yd4fv.1
Contributors:
, Ryota HabuchiDescription
This dataset contains the raw and processed data supporting the study "Non-destructive inspection for additive manufacturing lattice structures using a convolutional neural network and electrical resistance analysis." The work develops a low-cost, rapid non-destructive inspection method that identifies internal damage locations in conductive resin lattice structures fabricated by additive manufacturing, based on changes in surface temperature distribution when an electric current is applied.
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Categories
Machine Learning, Manufacturing, Non-Destructive Testing, Lattice Material