Abstract
The purpose of the article is to research chemical composition of hybrid eco-friendly biodegradable filled composites by computer modeling method. The tasks of the research are to form a data array for various polymer composite systems based on polylactic acid, coffee grounds waste and humic substances in terms of their level of impact strength and breaking stress during bending at various chemical compositions, the formation of experimental and statistical mathematical models chemical composition of hybrid eco-friendly biodegradable filled composites and processing of the resulting mathematical models in the MathCad Prime 6.0 environment in order to predict the most important strength characteristics of hybrid eco-friendly biodegradable filled composites. The design of experimental-statistical mathematical models in the form of regression equations was done with the help of the computer program STATISTICA. Processing of mathematical models was performed in MathCad Prime 6.0. As a result of the research, models for forecasting the performance properties of hybrid eco-friendly biodegradable filled composites depending on their chemical composition, which can be adapted to any content of coffee grounds waste and humic substances, were built.
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Lebedev, V., Miroshnichenko, D., Savchenko, D., Bilets, D., Mysiak, V., Tykhomyrova, T. (2023). Computer Modeling of Chemical Composition of Hybrid Biodegradable Composites. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_27
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