Artificial neural network modeling for predicting the carbon black content derived from unserviceable tires for elastomeric composite production
Marco Antônio Galindo Cruz,
Carlos Toshiyuki Hiranobe,
Guilherme Pina Cardim
et al.
Abstract:Given the increasing need for sustainable solutions and the large amount of improperly discarded end‐of‐life tires, recovered carbon black (rCB) from tire pyrolysis was investigated as a filler for rubber composites. This study considered rCB as an alternative to commercial carbon black due to its sustainability and CO2 emissions reduction. Composites with varying rCB contents (0 to 50 per 100 rubber) were produced and assessed for mechanical properties, such as hardness, abrasion resistance, and rheometric te… Show more
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