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Monitoring of a carbon anode paste manufacturing process using machine vision and latent variable methods

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Academic year: 2021

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Figure 9 – Schematic of the machine vision methodology for anode paste
Figure 19 – Composite image of different textures (http://www.highresolutiontextures.com)  Figure  20  presents  the  results  of  the  DWT  decomposition  of  the  image  in  Figure  19
Figure 21 – Details of the mixer and oven for laboratory paste preparation Lab pitchSoftening point(°C)109,1Toluene soluble (%)70,6B fraction(%)12,9Quinoline insoluble (%)16,5Coking value(%)58,4Viscosity 160°C(cP)1929,7Viscosity 180°C(cP)548,5PropertyBowlM
Figure 22 – Details of the press: a) cylindrical mold and dye and b) the press with the oven  to control the pressing temperature (Azari Dorcheh 2013)
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