Zobrazeno 1 - 6
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pro vyhledávání: '"Mark Schepperle"'
Publikováno v:
Sensors, Vol 24, Iss 11, p 3363 (2024)
The aim of this article is to introduce a novel approach to identifying flow regimes and void fractions in microchannel flow boiling, which is based on binary image segmentation using digital image processing and deep learning. The proposed image pro
Externí odkaz:
https://doaj.org/article/4e478226a6a24f50acf7a739756f948c
Publikováno v:
World Congress on Momentum, Heat and Mass Transfer.
Publikováno v:
Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering.
Publikováno v:
World Congress on Momentum, Heat and Mass Transfer.
Publikováno v:
Sensors and Actuators A: Physical. 251:266-275
In this work we present a simplified process chain of the conventional multilayer ceramic technology and offer a comfortable method for precise multilayer manufacturing without complex equipment. To circumvent the usual stacking and laminating of sin
Autor:
Schepperle, Mark1 (AUTHOR) schepperle@imtek.de, Junaid, Shayan1 (AUTHOR), Woias, Peter1 (AUTHOR) woias@imtek.de
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 11, p3363. 15p.