TY  - JOUR 
AU  - Rodríguez Martín, Manuel
AU  - Fueyo, José G.
AU  - López Rebollo, Jorge
AU  - González Aguilera, Diego
AU  - García-Martín, Roberto
AU  - Madruga, F.
PY  - 2022
SN  - 0263-2241
UR  - http://hdl.handle.net/10366/159541
AB  - [EN] A methodology based on step-heating thermography for predicting the length dimension of small defects in
additive manufacturing from temperature data measured on thermal images is proposed. Regression learners
were applied with different...
LA  - eng
PB  - Elsevier
KW  - Thermography
KW  - Non-Destructive Testing (NDT)
KW  - Quality control
KW  - Additive manufacturing
KW  - Machine learning
TI  - Step heating thermography supported by machine learning and simulation for internal defect size measurement in additive manufacturing
DO  - 10.1016/j.measurement.2022.112140
T2  - Measurement
VL  - 205
M2  - 1
ER  -