Predictive analytical modeling of thermo-mechanical effects in orthogonal machining

Mohamed-Amine, Alliche, Mohamed, Djennane, Abdelhakim, Djebara et Songmene, Victor. 2021. « Predictive analytical modeling of thermo-mechanical effects in orthogonal machining ». Materials, vol. 14, nº 24.
Compte des citations dans Scopus : 1.

Prévisualisation

PDF Songmene-V-2021-23792.pdf - Version publiée Licence d'utilisation : Creative Commons CC BY. Télécharger (6MB) | Prévisualisation

Résumé

Factor relationships in a machining system do not work in pairs. Varying the cutting parameters, materials machined, or volumes produced will influence many machining characteristics. For this reason, we are attempting to better understand the effect of the Johnson-Cook (J-C) law of behavior on cutting temperature prediction. Thus, the objective of the present study is to investigate, experimentally and theoretically, the tool/material interactions and their effects on dust emission during orthogonal cutting. The proposed approach is built on three steps. First, we established an experimental design to analyze, experimentally, the cutting conditions effects on the cutting temperature under dry condition. The empirical model which is based on the response surface methodology was used to generate a large amount of data depending on the machining conditions. Through this step, we were able to analyze the sensitivity of the cutting temperature to different cutting parameters. It was found that cutting speed, tool tip radius, rake angle, and the interaction between the cutting speed and the rake angle explain more than 84.66% of the cutting temperature variation. The cutting temperature will be considered as a reference to validate the analytical model. Hence, a temperature prediction model is important as a second step. The modeling of orthogonal machining using the J-C plasticity model showed a good correlation between the predicted cutting temperature and that obtained by the proposed empirical model. The calculated deviations for the different cutting conditions tested are relatively acceptable (with a less than 10% error). Finally, the established analytical model was then applied to the machining processes in order to optimize the cutting parameters and, at the same time, minimize the generated dust. The evaluation of the dust generation revealed that the dust emission is closely related to the variation of the cutting temperature. We also noticed that the dust generation can indicate different phenomena of fine and ultrafine particles generation during the cutting process, related to the heat source or temperature during orthogonal machining. Finally, the effective strategy to limit dust emissions at the source is to avoid the critical temperature zone. For this purpose, the two-sided values can be seen as combinations to limit dust emissions at the source.

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur Songmene, Victor
Affiliation:	Génie mécanique
Date de dépôt:	11 janv. 2022 20:12
Dernière modification:	13 avr. 2023 16:08
URI:	https://espace2.etsmtl.ca/id/eprint/23792

Actions (Authentification requise)

Dernière vérification avant le dépôt