Prediction of residual stresses due to grinding with phase transformation

Grinding is a commonly used finishing process to produce components of desired shape, size and dimensional accuracy. The ultimate goal is to have the maximum workpiece quality, minimum machining time and high economic efficiency by making a selective adaptation of the possible process strategy and chosen parameter selection. The focus of this study arose from a limitation that challenges the grinding industry. The production rate of the ground parts is generally constrained by surface topography and subsurface damage appearing as residual tensile stress, localized burns, and phase transformation induced micro and macro-cracking. This motivates the need for a reliable numerical modelling to simulate the grinding process. The numerical model sought should be able to predict not only the required grinding residual stresses but also the deformation history. The objective of this thesis is to build up a reliable finite element model for grinding-induced residual stress analysis and thus to explore thoroughly the mechanisms in terms of grinding conditions. The variations of the residual stresses and strains at integration points have been examined, and the effects of the friction coefficient (µ), Peclet number (Pe), non dimensional heat transfer coefficient (H) and different magnitudes of input heat flux (Q) on both the microstructure and the residual stress state are analyzed. Finally, based on the new findings in this research, a more comprehensive methodology is suggested for further study.

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Source https://theses.hal.science/tel-00679816
Author Shah, Syed Mushtaq Ahmed
Maintainer CCSD
Last Updated May 24, 2026, 11:05 (UTC)
Created May 24, 2026, 11:05 (UTC)
Identifier NNT: 2011ISAL0048
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] (LaMCoS) ; Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
creator Shah, Syed Mushtaq Ahmed
date 2011-06-20T00:00:00
harvest_object_id 6a992e0d-6399-4672-a440-b9bdf56bc9bf
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
set_spec type:THESE