Optimized model for monitoring temperature zones of 3D printing using RGB methods

Yujiao Qian; Ming Zhang

doi:10.1117/12.2636635

10 June 2022 Optimized model for monitoring temperature zones of 3D printing using RGB methods

Yujiao Qian, Ming Zhang

Proceedings Volume 12179, Second International Conference on Medical Imaging and Additive Manufacturing (ICMIAM 2022); 1217913 (2022) https://doi.org/10.1117/12.2636635
Event: Second International Conference on Medical Imaging and Additive Manufacturing (ICMIAM 2022), 2022, Xiamen, China

Abstract

The problem of surface temperature measurement in metal additive manufacturing was investigated, and the metal heating process was monitored and tested using a color CCD camera based on the colorimetric temperature method. Stainless steel samples of 304 and 316 were selected and tested in oxygen and argon environments, respectively, while the surface temperature was measured using a pyrometer. The acquired images were processed and the emissivity ratios of the metals were calculated from the measured temperatures. The MRT(Mathematical multispectral radiation thermometry) model of metal emissivity was modified based on the acquired data to obtain a more suitable emissivity ratio model for the colorimetric temperature method and to reduce the temperature measurement error caused by the change of metal emissivity at different temperatures.

Citation Download Citation

Yujiao Qian and Ming Zhang "Optimized model for monitoring temperature zones of 3D printing using RGB methods", Proc. SPIE 12179, Second International Conference on Medical Imaging and Additive Manufacturing (ICMIAM 2022), 1217913 (10 June 2022); https://doi.org/10.1117/12.2636635

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