Session information

Technical Session

Technical sessions » Tribology Simulation

Machine Learning and Other New Approaches

Tue. Sep 26, 2023 1:30 PM - 2:30 PM Room F (Room 405/406)

Iwa Ou (Eagle Industry Co., Ltd, Japan)
Tasuku Onodera (ENEOS Corporation, Japan)

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1:30 PM - 1:50 PM

[26-F-01] A Comparative Study of a Grey Box and Black Box Friction Model in Cold Forging

*Stefan Volz¹, Peter Groche², Jonas Launhardt³ (1. Technical University of Darmstadt, Germany, 2. Technical University of Darmstadt, Germany, 3. Technical University of Darmstadt, Germany)

1:50 PM - 2:10 PM

[26-F-02] Application of Neural Network Model in Estimation of Frictional Features of Tribofilms Derived from Phosphate Ester in Combination with Calcium-based Detergent

*Hiroshi Noma¹, Saiko Aoki¹, Kenji Kobayashi² (1. Tokyo Institute of Technology, Japan, 2. Idemitsu Kosan Company Ltd., Japan)

2:10 PM - 2:30 PM

[26-F-03] Tuning Nanoscale Intrinsic Friction via Quantum Mechanical Descriptors

*Antonio Cammarata, Tomas Polcar (Czech Technical University in Prague, Czech Republic)

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