Research on prediction model of cutting force in ultrasonic vibration assisted grinding of zirconia ceramics

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (12) : 140-145.

XIAO Xing-zhi, ZHENG Kan, LIAO Wen-he

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Abstract

Ultrasonic vibration assisted grinding (UVAG) experiments of dental zirconia ceramics have been conducted through single-factor method, the index prediction model and BP neural networks prediction model of cutting force in UVAG have been proposed, as well as the theoretical cutting force prediction model. The verification experiment has been conducted to study the prediction accuracy of these three models, and the causes of errors have been revealed. The result indicates that the BP neural networks prediction model has higher precision compared with two others, and the relative error is only 9.60%, the prediction accuracy of theoretical model is poor due to the neglect of plastic flow removal during UVAG.

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ultrasonic vibration assisted grinding / dental zirconia ceramics / cutting force prediction / index model / BP neural networks / theoretical model

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XIAO Xing-zhi, ZHENG Kan, LIAO Wen-he. Research on prediction model of cutting force in ultrasonic vibration assisted grinding of zirconia ceramics[J]. Journal of Vibration and Shock, 2015, 34(12): 140-145

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