Identification of heat partition in grinding related to process parameters, using the inverse heat flux conduction model - Université Polytechnique des Hauts-de-France Access content directly
Journal Articles Applied Thermal Engineering Year : 2014

Identification of heat partition in grinding related to process parameters, using the inverse heat flux conduction model

Abstract

Grinding is an abrasive machining process characterized by producing high quality components for high added-value industries. Thermal damage is an undesired phenomenon that may ruin nearly finished products. The study of thermal damage requires understanding the mechanisms of heat partition between wheel and workpiece. In this work and original methodology and experimental set-up for the study the influence of grinding variables on the heat partition to the workpiece, Rw, is presented. The new methodology avoids errors related to the steep thermal gradients typical of grinding operations. In addition, uncertainty related to the actual area of contact is suppressed thanks to a rigid and controlled experimental configuration. An inverse model based on Levenberg–Marquardt algorithm and a finite element model has been used for heat partition to the workpiece identification. Results have lead to a time-dependant Rw definition which had not been previously proposed in literature, and they have allowed as well relating variations in Rw values to physical removing mechanisms of grinding. Results have been validated by means of an indirect parameter: workpiece hardness variation during the tests, which strengthens the validity of the results.
Fichier principal
Vignette du fichier
HeatPartitionGrinding-Preprint.pdf (732 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02367804 , version 1 (09-02-2022)

Identifiers

Cite

Eduardo García, Damien Méresse, Iñigo Pombo, Souad Harmand, José Antonio Sánchez. Identification of heat partition in grinding related to process parameters, using the inverse heat flux conduction model. Applied Thermal Engineering, 2014, 66 (1-2), pp.122-130. ⟨10.1016/j.applthermaleng.2014.01.048⟩. ⟨hal-02367804⟩
26 View
18 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More