Experimental Research on the Predictive Model for Surface Roughness of Titanium Alloy in Abrasive Belt Grinding

Rong Kai Cheng; Yun Huang; Yao Huang

doi:10.4028/www.scientific.net/AMR.716.443

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 716Experimental Research on the Predictive Model for...

Experimental Research on the Predictive Model for Surface Roughness of Titanium Alloy in Abrasive Belt Grinding

Abstract:

Titanium alloys have been applied to aerospacemedical and other fields. The surface roughness of titanium alloy about these areas is very high. Based on the results of orthogonal test, belt grinding surface roughness prediction model of TC4 Titanium alloy is established using linear regression method. The significant tests of regression equation are conducted and proved that the prediction model has a significant. The results indicate that the model has reliability on the prediction of surface roughness, abrasive belt grinding pressure has certain influence on the surface roughness, and grain size of belt and the belt linear speed have high significant influence on surface roughness and the influence coefficient are-0.9378 and-0.2317. While the contact wheel hardness and workpiece axial feeding speed have no significant influence on surface roughness.

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Periodical:

Advanced Materials Research (Volume 716)

Pages:

443-448

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.716.443

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Online since:

July 2013

Authors:

Rong Kai Cheng, Yun Huang, Yao Huang

Keywords:

Belt Grinding, Predictive Model, Stepwise Regression, Surface Roughness (SR), Titanium Alloy

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