Guilhem MOLLON
guilhem.mollon@insa-lyon.fr
Associate Professor
National Institute for Applied Sciences of Lyon
PhD, Civil Engineering, INSA Lyon
HDR, INSA Lyon
Guilhem MOLLON
guilhem.mollon@insa-lyon.fr
Associate Professor
National Institute for Applied Sciences of Lyon
PhD, Civil Engineering, INSA Lyon
HDR, INSA Lyon
In this study, we pay attention to the tribological third body, which is the layer of solid matter trapped within a contact, coming from the degradation of the two contacting surfaces. This layer may have very diverse aspects, depending on the type of material and on the contact conditions (pressure, velocity, physico-chemical environment, temperature, etc.). The purpose of the project is to relate the morphology of the third body (as observed by different microscopy techniques) to its mechanical behavior, especially its rheology. The understanding of this link could lead to a better prediction of friction and wear in mechanical contacts.
Figure 1. Multimode observation of a single third body particle. It clearly appears that both observation modes (optical and electronic microscopy) provide different and complementary information.
Figure 2. A matlab code developped on purpose allows to process the microscopic pictures in a semi-automatic manner and to extract the morphological descriptors of third body particles.
Figure 3. Experimental process dedicated to ths design of a Machine Learning approach for triboloy. Friction curve recorded during a pin-on-disc friction test, in-operando views of the wear track, and SEM views of the worn pin and of the wear track.
Figure 4. Image processing semi-automatic algorithm designed to extract meaningful morphological descriptors of the contour of the third body particles.
Figure 5. Statistics of morphological descriptors of particles collected during nine different tribological tests, with illustrative particle contours corresponding to the extreme values.
Figure 6. Comparison between the actual and the predicted test of origin for each particle after using a trained agorithm based on the morphological descriptors.