20.500.12556/DKUM-87539 Influence of Al2O3 nanoparticles addition in ZA-27 alloy-based nanocomposites and soft computing prediction Three different and very small amounts of alumina (0.2, 0.3 and 0.5 wt. %) in two sizes (approx. 25 and 100 nm) were used to enhance the wear characteristics of ZA-27 alloy-based nanocomposites. Production was realised through mechanical alloying in pre-processing and compocasting processes. Wear tests were under lubricated sliding conditions on a block-on-disc tribometer, at two sliding speeds (0.25 and 1 m/s), two normal loads (40 and 100 N) and a sliding distance of 1000 m. Experimental results were analysed by applying the response surface methodology (RSM) and a suitable mathematical model for the wear rate of tested nanocomposites was developed. Appropriate wear maps were constructed and the wear mechanism is discussed in this paper. The accuracy of the prediction was evaluated with the use of an artificial neural network (ANN). The architecture of the used ANN was 4-5-1 and the obtained overall regression coefficient was 0.98729. The comparison of the predicting methods showed that ANN is more efficient in predicting wear. ZA-27 alloy Al2O3 nanoparticles nanocomposites wear response surface methodology artificial neural network ZA-27 zlitine nanodelci nanokompoziti metodologija odzivne površine umetne nevronske mreže true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/journal/lubricants Članek v reviji 2024-03-20 13:10:23 2024-03-20 14:43:05 2024-04-03 14:03:26 0000-00-00 00:00:00 2023 0 0 Str. 1-13 Št. 1, št. članka 24 Letn. 11 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2022-11-30 2022-12-30 2023-01-07 621.74:004.8 138621955 10.3390/lubricants11010024 2075-4442 Vencl-2023-Influence_of_Al_sub_2__sub_O_sub_3_.pdf Vencl-2023-Influence_of_Al_sub_2__sub_O_sub_3_.pdf 1 11F4E4F9676D249831316E4BE5B15918 85bfa48349b7231a1dfa62065db4df6108113ba36b26167faf276e80cb3503c3 94052b67-e6bf-11ee-9087-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=177129 https://doi.org/10.3390/lubricants11010024 0 ad375479-e6bf-11ee-9087-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=177130 Fakulteta za strojništvo 0 0 0