Establishment of the Prediction Model for Ferrite Surface Roughness in Ultrasonic Vibration Grinding

Abstract:

In this paper, the author performed orthogonal tests of ultrasonic vibration grinding on ferrite in the DMG machining center, and established a prediction model of ferrite surface roughness in ultrasonic vibration grinding with multiple linear regression analysis method based on the test results, and carried out significance tests on regression equation and regression coefficient, showing that the prediction model had high credibility, the effect of spindle speed and amplitude of ultrasonic vibration on surface roughness was significant, but of grinding depth and feed rate was not obvious.

• Periodical: Key Engineering Materials (Volumes 579-580)
• Pages: 8-11
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.579-580.8
• Online since: September 2013
• Authors: Guo Jun Dong, Jian Mei Liu, Ming Zhou, Zhi Qiang Xu
• Keywords: Ferrite, Prediction Model, Regression Analysis, Surface Roughness (SR), Ultrasonic Vibration Grinding

References

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