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Open AccessArticle

Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts

Automotive Tribology Center, Department of Mechanical Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI 48309, USA
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Lubricants 2019, 7(1), 9; https://doi.org/10.3390/lubricants7010009
Received: 30 November 2018 / Revised: 8 January 2019 / Accepted: 14 January 2019 / Published: 16 January 2019
(This article belongs to the Special Issue Industrial Tribo-Systems and Future Development Trends)
Research was carried out to develop a mathematical model based on the cutting tool surface profile geometry to predict surface roughness in face milling. Previous models were derived using either the simple assumption of a perfectly round tool nose or statistical analysis based on a large number of experiments. In this research, three milling cases were defined based on the magnitude of the feed rate using a triangular insert with a round corner. In case 1, the machine marks only consisted of a series of arcs. In case 2, the machine marks included a series of an arc and one straight line. In case 3, the machine marks consisted of a series of an arc and two straight lines. Three different equations for surface roughness prediction were obtained based on each of the three cases. Experiments were done to validate the models, and the results showed that the mathematical models had good correlation with experimental results. View Full-Text
Keywords: mathematical model; face milling; arithmetic average roughness; surface profile mathematical model; face milling; arithmetic average roughness; surface profile
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MDPI and ACS Style

Wang, R.; Wang, B.; Barber, G.C.; Gu, J.; Schall, J. Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts. Lubricants 2019, 7, 9.

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