Preparation and evaluation of thermoplastic vulcanizate/organo-modified layered double hydroxide nanocomposite: Statistical modelling and optimization

This study investigates the fabrication and optimization of a novel thermoplastic vulcanizate (TPV) nanocomposite consisting of organo-modified layered double hydroxide (O-LDH) and a polypropylene (PP)/polybutadiene rubber (PBR) base for the first time. O-LDH was prepared by condensation reaction between an aminosilane-modified LDH (Si-LDH) and both maleic-anhydride-grafted-liquid polybutadiene (LPBR-g-MA) and maleic-anhydride-grafted polypropylene (PP-g-MA). A two-component mixture consisting of LPBR-g-MA and PP-g-MA (weight ratio:60/40) (Comp-g-MA) was used as the compatibilizer agent, and bis-(triethoxysilylpropyl)tetrasulfid (TESPT) was employed as the vulcanizing agent which was activated in the presence of MA. Response surface methodology (RSM) integrated by central composite design (CCD) was utilized to maximize the gel content and minimize the number-averaged rubber particle size (NARPS) of TPV-Nanocomposite by optimizing the amounts of Comp-g-MA, TESPT and O-LDH. The outcomes revealed that increasing the O-LDH and Comp-gMA up to a certain amount, decreased the size of the vulcanizate PBR domains due to the formation of a strong interface, but it caused an increasing trend for the %gel up to a maximum value. The optimized TPV sample (OTPV) was obtained using 8.2 % Comp-g-MA, 5.8 % O-LDH and 2.5 % TESPT and exhibited 50.4 % of gel content and 135.6 mu m of NARPS. OTPV showed superior properties in terms of morphological stabilization, thermal stability and oil-resistance due to the synergistic effect of Comp-g-MA and O-LDH components into the PP/PBR blends.

Automated summary

This study investigated the fabrication and optimization of a novel TPV nanocomposite consisting of O-LDH and a PP/PBR base for the first time, utilizing RSM and CCD to obtain the optimal formulation. The results showed that increasing the content of O-LDH and Comp-gMA appropriately can lead to an optimized TPV sample.