- Tytuł:
- Application of artificial neural networks for the prediction of the service conditions of an elastohydrodynamic EHL contact in the presence of solid pollutant
- Autorzy:
-
Mattallah, Sabrina
Kelaiaia, Ridha
Louahem M’Sabah, Hanane
Kerboua, Adlen - Powiązania:
- https://bibliotekanauki.pl/articles/27313819.pdf
- Data publikacji:
- 2024
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
elastohydrodynamic contact
solid pollution
artificial neural network
wear - Opis:
- Lubricated mechanical mechanisms operate under service conditions influenced by several environmental parameters, and their life times may be threatened due to inappropriate use or by the presence of solid contaminants. The objective of this work is to study the effect of three operating parameters, namely: rotational speed , load and kinematic viscosity in the presence of three sizes of solid contaminants , on the degradation of an EHL contact, to predict the ranges of effects that may lead to the damage of the contacting surfaces. In our investigation, anexperimental design of nine trials is used to combine four factors with three levels each to accomplish the experimental investigation. Artificial neural network regression and the desirability function were used for the interpretation and modelling of the responses, whichare: wear , arithmetic mean height , total profile height and maximum profile height . From these methods we observed that the sand grain sizes have a significant impact on the wear and the roughness , but that viscosity has the primary influence on the variation of the roughnesses and . We also found that the quality of the predicted models is very good, with overall determination coefficients of 2 learning = 0.9985 and 2 validation = 0.9996. Several levels of degradation depending on the operating conditions are predicted using the desirability function.
- Źródło:
-
Diagnostyka; 2024, 25, 1; art. no. 2024107
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł