A study of friction model performance in a skew rolling process numerical simulation

35Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

This paper studies the influence of diverse friction models on the numerical analysis of an industrial skew rolling mill using FORGE®. The originality of the present contribution is the analysis of the effect of the friction model on important parameters, namely, consumed power, plastic deformation and surface temperature. The aim is to evaluate which of these friction models is appropriate for simulating these industrial processes. The high values of temperature, pressure and sliding velocity at the contacts make the assessment of the friction model incidence on the deformation and temperature evolution fundamental, given its importance on the thermomechanical processing of materials. As a conclusion, IFUM is not valid because of its sliding velocity approach. On the other hand, Neumaier presents the highest deviations in terms of experimental power. It is concluded that Tresca is valid for this sort of processes and Norton model gives the most accurate results for friction power, related to the high sliding conditions at the contact.

Cite

CITATION STYLE

APA

Murillo-Marrodan, A., Garcia, E., & Cortes, F. (2018). A study of friction model performance in a skew rolling process numerical simulation. International Journal of Simulation Modelling, 17(4), 569–582. https://doi.org/10.2507/IJSIMM17(4)441

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free