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Utilization of AI driven solutions for rubber compound formulation: A practical approach

The integration of artificial intelligence (AI) into various industrial sectors has spurred remarkable progress in the field of manufacturing process development. This concept has been extended to polymer compound formulations, where AI techniques have been used to optimize rubber formulations as well. Furthermore, it is conceivable that mixtures of other polymers, such as TPEs, thermoplastic materials or polyurethane compounds, could be similarly treated. Advantages of employing AI driven tools include reduced development time, enhanced efficiency and increased accuracy.

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ArticlesChemicals & MaterialsFeaturedMixing

Custom compounding with Spherix aluminosilicate microspheres

Spherix manufactures post-industrial recycled aluminosilicate ceramic microspheres with a mean particle size of 3-4 μm. The solid, incompressible spheres mechanically facilitate ingredient dispersion, processing speed and improved surface quality within a wide variety of polymer systems during both mastication and downstream processing. They promote flow and can reduce the need for conventional lubricants depending on the compound. Spherix is a registered trademark of Spherix.

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ArticlesAutomotive Elastomers & PartFeaturedMixing

Therban HT: Compounding with a new heat resistant HNBR elastomer

There is an increased demand for elastomeric compositions having improved heat and fluid resistance in automotive and industrial applications. In automotive applications, new sophisticated designs and engineering of engine compartments and under-the-hood parts require the use of elastomeric composites that can withstand higher service temperatures and have excellent long term aging properties. Similarly, industrial applications are following a similar trend where elastomers are expected to have high performance and function longer in harsher conditions.

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ArticlesFeaturedMixing

Silane modified low molecular weight liquid polymers in sulfur cured mixtures of styrene butadiene copolymers and silica

Global emissions of greenhouse gases from trucks and passenger cars are influenced by the deformation energy and friction losses of tires. It is mostly associated with the rolling resistance between the tire tread and the road surface. For this reason, the rolling resistance is considered one of the most important performance indicators (that is, targeted to be reduced) within the tire industry.

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