2026-06-01T09:55:20Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/271482026-02-03T12:25:30Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Cañero-Nieto, Juan Miguel
author
De Luque Toro, Críspulo Enrique
author
Solano-Martos, José Francisco
author
Díaz Bolaño, Idanis Beatriz
author
Campo Campo, Rafael José
2023-07-03T10:43:54Z
2023-07-03T10:43:54Z
2023
https://hdl.handle.net/10630/27148
Nowadays new applications based on the 3D printing technique demand increasingly strict product quality requirements. The in-situ monitoring of variables associated with the manufacturing process through the application of different techniques could help to evaluate the process and ultimately to ensure product quality. In this regard, the acquisition and evaluation of variables and
indexes derived from thermographic analysis during the process are key for an early defect detection and can contribute to quality estimation. In this work, a new methodology is proposed for the monitoring and analysis of the additive manufacturing process based on the processing of thermographic images from an LWIR (Long Wave Infrared) camera. The methodology and the suitability of the variables and indexes extracted during the monitoring of the manufacturing process are discussed for the case of a 3D fused filament fabrication of polymers.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Impresión 3D
Procesado de imágenes
Thermal Measurements based on Image Processing for In-Situ Monitoring of 3D Fused Filament Fabrication (FFF).
conference output
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URL
https://riuma.uma.es/bitstreams/f4d4dea9-f3ad-41ee-a63b-9e7725f918c2/download
File
MD5
bd4ead91f5cb9312cc781f5ca3d5637c
1666402
application/pdf
Paper Conference MESIC 2023-JMCN_v4_0.pdf