Abstract
The disposal of plastic wares has been one of the most difficult challenges in the past few decades. High volume of used plastics have found their way to the oceans which is a threat to aquatic life. Recycling has been identified as one of the techniques to eliminate the incessant disposal of plastics. In this study, the influence of nanoparticles on the properties of recycled plastics was examined. Nine samples were prepared which were classified into three categories such as nano-based HDPE-sugarcane bagasse powder composite, nano-based HDPE composite and HDPE without nanoparticles and sugarcane bagasse powder. Samples of nanoparticles-recycled plastic composites were prepared by adding nanoparticles (iron oxide, copper oxide and aluminum oxide) to the high-density polyethylene. These samples were subjected to various tests, such as fatigue, compressive, and water absorption test. The sample containing 4.55% aluminum nanoparticles and 95.45% HDPE obtained the best performance in fatigue tests and water absorption tests. In compressive test, the sample with copper oxide nanoparticles and sugarcane bagasse powder had the highest compressive force and compressive strength. Among the three types of nanoparticles, aluminum oxide nanoparticles had the best performance. Results indicated that nanoparticles enhanced the properties of recycled high-density polyethylene. The study concluded with some recommendations for further studies.
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The authors gratefully acknowledge Faculty of Engineering, Technology and Built Environment, UCSI University Malaysia and Faculty of Engineering and Technology, Liverpool John Moores University for support to conduct this research work.
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Han Sheng, K., Olugu, E.U., Binti Hassan, C.S., Karunamoothei, V., Teng, K.H. (2022). Influence of Nano-particles on the Properties of Recycled Plastics. In: Batako, A., Burduk, A., Karyono, K., Chen, X., Wyczółkowski, R. (eds) Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering. GCMM 2021. Lecture Notes in Networks and Systems, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-90532-3_29
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