Browsing by Author "Profito, Francisco J."

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    • Predicting EHL film thickness parameters by machine learning approaches 
      Marian, Max; Mursak, Jonas; Bartz, Marcel; Profito, Francisco J.; Rosenkranz, Andreas; Wartzack, Sandro (Springer, 2022)
      Non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters of elastohydrodynamically lubricated (EHL) contacts. In this contribution, we demonstrate ...
    • The use of artificial intelligence in tribology—a perspective 
      Rosenkranz, Andreas; Marian, Max; Profito, Francisco J.; Aragón, Nathan; Shah, Raj (MDPI, 2021)
      Artificial intelligence and, in particular, machine learning methods have gained notable attention in the tribological community due to their ability to predict tribologically relevant parameters such as, for instance, the ...