Effect of compatibilizer and nanosilica on the mechanical, thermal, and degradation kinetic properties of polypropylene/polylactic acid blends

In this study, polypropylene (PP) was blended with polylactic acid (PLA) to enhance PP's mechanical properties, such as tensile strength and modulus, and to encourage the adoption of eco-friendly, renewable resource based material in polymer production. Even though PLA's biodegradability cannot be fully utilized in PP/PLA blends, but PLA can still improve PP's mechanical properties and provide an alternative resource for biobased raw materials. To meet the requirement, PP and PLA were blended in a ۷۰:۳۰ ratios with a compatibilizer and nanosilica at different loading levels by melt-blending. Blends of PP and PLA materials were processed without any problems, since both materials have melting points in the range of ۱۷۰°C. Despite this, the properties of polymer blends are limited by the immiscibility between these neat polymers. To solve this problem, compatibilizers like polypropylene-grafted-maleic anhydride (PP-g-MA) were added to blends to improve their compatibility. Nanosilica was also added to this compatibilizer to study the system's compatibility and modify the hydrophobicity of PLA. Differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), tensile strength, and field emission scanning electron microscopy (FESEM) were used to analyze the polymer blend. Results indicate that compatibilizers play a significant role in improving tensile properties, thermal stability, and blend dispersion in the system, mainly in ۵ parts compatibilizer-based systems. Composition with ۵ parts compatibilizer increases tensile strength of ۷۰/۳۰ blend from ۱۹.۷ to ۲۷ MPa, while elongation increases from ۲.۲ to ۳.۶ %. Additionally, a composition with ۰.۷ parts of nanosilica increases the modulus from ۱۴۸۸ to ۱۷۳۲ MPa when compared to the ۷۰/۳۰ blend.

کلیدواژه ها:

PP based blends ، processability ، thermal degradation ، thermal properties ، SEM images