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- W4385500462 abstract "Abstract It has been shown that surface microtexturing is useful for improving lubrication. It offers strong reductions in the friction coefficient under operation conditions which compromise the maintenance of full film lubrication. To study the influence of texturing in the reduction of the friction coefficient, an Artificial Intelligence algorithm will be used. Its performance will be optimized. Afterwards, the algorithm will be applied to a new set of textured surfaces with the objective of finding the optimal one, that is, the one capable of reducing friction under different operating conditions. The selection of the optimal texturing will be based on the Weighted Mean Value of the friction coefficient (WMPT), a metric that was specifically created for this purpose." @default.
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- W4385500462 date "2023-01-01" @default.
- W4385500462 modified "2023-09-30" @default.
- W4385500462 title "Using Artificial Intelligence to Predict Lubricated Friction in Microtextured Mechanical Contacts" @default.
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- W4385500462 doi "https://doi.org/10.1007/978-3-031-38563-6_63" @default.
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