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DYNA INGENIERIA E INDUSTRIA
Article . 2015 . Peer-reviewed
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MODELADO TRIDIMENSIONAL DE RUGOSIDAD SUPERFICIAL PARA EL PROCESO DE BRUÑIDO

Authors: ALBERTO SALDAÑA ROBLES; EDUARDO AGUILERA GOMEZ; HECTOR PLASCENCIA MORA; ELIAS RIGOBERTO LEDESMA OROZCO; JUAN FRANCISCO REVELES ARREDONDO; NOE SALDAÑA ROBLES;

MODELADO TRIDIMENSIONAL DE RUGOSIDAD SUPERFICIAL PARA EL PROCESO DE BRUÑIDO

Abstract

Ball burnishing is a plastic deformation process that improves the surface quality of mechanical parts decreasing roughness. The surface roughness is an important parameter of study; it is known that affects friction, lubrication and wear. In this work, a general methodology for finite element and a programming routine based on Parametric Design Language was developed and validated. This methodology is useful to generate parametric models of three-dimensional rough surfaces in a commercial software of finite element. The routine produces a random surface roughness using the mean (x ?) and standard deviation (s) of a normal distribution of real surface roughness. The routine was used to generate roughness models of rectangular and cylindrical specimens. The nodal density for generating roughness and repeatability for a given surface finish were evaluated to optimize the modeled surface roughness. The numerical results show a good correlation to the experimental results. In a future, the routine can be used to generate models through the finite element method to simulate any machining process with random roughness and this enable to study the processes, allowing reducing the high costs of experimental tests.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
bronze