Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement

no code implementations • 26 Oct 2021 • Ru Yang, Yang Li, Danielle Zeng, Ping Guo

StrainNet predicts the strain field directly from the image input without relying on the displacement prediction, which significantly improves the strain prediction accuracy.

An Artificial-intelligence/Statistics Solution to Quantify Material Distortion for Thermal Compensation in Additive Manufacturing

no code implementations • 14 May 2020 • Chao Wang, Shaofan Li, Danielle Zeng, Xinhai Zhu

In this paper, we introduce a probabilistic statistics solution or artificial intelligence (AI) approach to identify and quantify permanent (non-zero strain) continuum/material deformation only based on the scanned material data in the spatial configuration and the shape of the initial design configuration or the material configuration.