Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts
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...
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MDPI AG
2019-01-01
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| Series: | Lubricants |
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| Online Access: | http://www.mdpi.com/2075-4442/7/1/9 |
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doaj-a9d02aaea3994b86bcab8b710fbaeafc2020-11-25T01:38:53ZengMDPI AGLubricants2075-44422019-01-0171910.3390/lubricants7010009lubricants7010009Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular InsertsRui Wang0Bingxu Wang1Gary C. Barber2Jie Gu3J.David Schall4Automotive Tribology Center, Department of Mechanical Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI 48309, USAAutomotive Tribology Center, Department of Mechanical Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI 48309, USAAutomotive Tribology Center, Department of Mechanical Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI 48309, USAAutomotive Tribology Center, Department of Mechanical Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI 48309, USAAutomotive Tribology Center, Department of Mechanical Engineering, School of Engineering and Computer Science, Oakland University, Rochester, MI 48309, USAResearch 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.http://www.mdpi.com/2075-4442/7/1/9mathematical modelface millingarithmetic average roughnesssurface profile |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Rui Wang Bingxu Wang Gary C. Barber Jie Gu J.David Schall |
| spellingShingle |
Rui Wang Bingxu Wang Gary C. Barber Jie Gu J.David Schall Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts Lubricants mathematical model face milling arithmetic average roughness surface profile |
| author_facet |
Rui Wang Bingxu Wang Gary C. Barber Jie Gu J.David Schall |
| author_sort |
Rui Wang |
| title |
Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts |
| title_short |
Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts |
| title_full |
Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts |
| title_fullStr |
Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts |
| title_full_unstemmed |
Models for Prediction of Surface Roughness in a Face Milling Process Using Triangular Inserts |
| title_sort |
models for prediction of surface roughness in a face milling process using triangular inserts |
| publisher |
MDPI AG |
| series |
Lubricants |
| issn |
2075-4442 |
| publishDate |
2019-01-01 |
| description |
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. |
| topic |
mathematical model face milling arithmetic average roughness surface profile |
| url |
http://www.mdpi.com/2075-4442/7/1/9 |
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