EXPERIMENTAL AND NUMERICAL MODELING OF EFFECTS INDUCED BY THE GRINDING PROCESS. APPLICATION TO THE HIGH EFFICIENCY DEEP GRINDING PROCESS

Grinding is one of the most complex material removal processes where many domains of physics take place. Nowadays, studies on grinding are still to be improved even if it is often used for manufacturing high-quality parts. Indeed, during grinding, many phenomena can appear such as burns or cracks that can affect the integrity of the ground surface and need to be controlled. They are linked to the amount of thermal and mechanical energy that enter the workpiece. Thus, in order to improve the grinding process and its productivity, ameliorations have to be made concerning measurements and predictions of such phenomena. In this work, the use of current measurement methods such as thermography for temperature or X-ray diffraction for residual stresses help to improve the models of grinding. Many results with better accuracy are shown and they explain the relation between the grinding parameters and the damage of the surface. Numerical simulation is the other way of understanding and predicts damage for the grinding process. The metallurgical transformations that can appear during grinding are taken into account and an inverse method is used for the modeling of thermo-mechanicals loads entering the workpiece.

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Source https://theses.hal.science/tel-00812416
Author Brosse, Alexandre
Maintainer CCSD
Last Updated May 11, 2026, 12:55 (UTC)
Created May 11, 2026, 12:55 (UTC)
Identifier tel-00812416
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Tribologie et Dynamique des Systèmes (LTDS) ; École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS)
creator Brosse, Alexandre
date 2009-05-11T00:00:00
harvest_object_id 0b91f568-622c-434e-a17e-7e0788de2850
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-02-20T00:00:00
set_spec type:THESE