New recycling system turns plastic waste into durable industrial materials
Researchers have developed an experimental manufacturing system that transforms polymer waste into high-performance composites suitable for industrial use. The breakthrough combines machine learning with mechanical testing to create recycled materials that meet commercial standards, potentially reducing plastic waste while cutting production costs for manufacturers.
Originaltitel: Development of experimental and computational lightweight industrial circularity manufacturing systems for polymer waste recycling: Mechanical testing and characterization
<p>Circularity (CE) is a powerful instrument to contrive sustainability. However, CE entails innovation. Current research discovers advanced technological solutions for operational implementation of CE in polymeric manufacturing industries. Based on spectroscopic characterization, mechanical testing, tribological investigations, Python-based computation, and PyCharm machine learning algorithms, the traditional, engineering, high performance, and ultra-high performance manufacturing systems are developed fundamentally rely on coefficient of friction (COF), wear rates, plastic deformation, and fracture mechanism. The designed COF values of strategic, conventional, and domestic manufacturing systems are standardized in the range of 0.03–0.09, 0.10–0.22, and 0.30–0.47, respectively. Experimental manufacturing systems are evinced on the fabrication of polypropylene-based composites with facilities of Vickers hardness and thermal stability in the ranges of 1000–1800 HV10 and 400–2400 °C. Tensile, bending, and impact tests are standardized according to American standards for industrial production and commercialization. The conceptual framework of silicon nitride, zirconia, tungsten carbide, steel, alumina hard materials, titanium aluminum nitride, and titanium carbo-nitride coatings manufacturing systems are propounded to process all possible polymers and waste. Additionally, diversity in experimental and computational results can be introduced for automation, digitalization, implementation of the concept of circularity, and sustainability in view of reverse engineering concepts. </p>