Bianchi Otávio, Pereira Patrícia Bereta, Ferreira Carlos Arthur
LAPOL/PPGE3M/Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, Porto Alegre 90010-150, Brazil.
Polymers (Basel). 2022 Oct 19;14(20):4419. doi: 10.3390/polym14204419.
This publication highlights the use of a high-speed thermokinetic mixer as an alternative to recycling ground tire rubber (GTR) using mechanochemical treatment. The GTR initially had a gelled fraction of 80% and presented a reduction of up to 50% of gel fraction in the most intensive condition (5145 rpm, n). The processing condition at the lowest speed (2564 rpm, n) resulted in greater selectivity in chain scission (~1). However, in the most intense processing condition (10 min to n), more significant degradation was observed via random scission, reduction in the glass transition temperature, T (11 °C), increase in the soluble polymeric fraction, and a more significant reduction in the density of bonds occurs. The artificial neural network could describe and correlate the thermal degradation profile with the processing conditions and the physicochemical characteristics of the GTR. The n velocity resulted in the formation of particles with a smoother and more continuous surface, which is related to the increase in the amount of soluble phase. The approach presented here represents an alternative to the mechanochemical treatment since it can reduce the crosslink density with selectivity and in short times (1-3 min).
本出版物强调了使用高速热动力学混合器作为通过机械化学处理回收地面轮胎橡胶(GTR)的替代方法。GTR最初的凝胶分数为80%,在最强烈的条件下(5145转/分钟,n)凝胶分数降低了高达50%。最低速度(2564转/分钟,n)的加工条件导致链断裂具有更高的选择性(~1)。然而,在最强烈的加工条件下(10分钟至n),通过无规断裂观察到更显著的降解,玻璃化转变温度T降低(11°C),可溶性聚合物分数增加,并且键密度有更显著的降低。人工神经网络可以描述热降解曲线并将其与加工条件以及GTR的物理化学特性相关联。n速度导致形成表面更光滑、更连续的颗粒,这与可溶相数量的增加有关。这里提出的方法是机械化学处理的一种替代方法,因为它可以在短时间内(1 - 3分钟)有选择性地降低交联密度。