A Processing Predictive Model of Ultrasonic Vibration Grinding Assisted Electric Discharge Machining Based on Support Vector Machines

Guang Mei Yang; Yun Peng Zhang; Kai Yue Li; Guo Ding Chen

doi:10.4028/www.scientific.net/AMR.941-944.1928

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 941-944A Processing Predictive Model of Ultrasonic...

A Processing Predictive Model of Ultrasonic Vibration Grinding Assisted Electric Discharge Machining Based on Support Vector Machines

Abstract:

To predict the machining results of ultrasonic vibration grinding assisted electric discharge machining (UVGAEDM) in the condition of building predictive model with a few samples but fluctuant values, a predictive model based on SVM was proposed in this paper. Taking machining SiCp/Al as an example, the samples for modeling were obtained through orthogonal test, and then the predictive model was established utilizing MATLAB. Finally, the model was optimized to further improve the prediction accuracy about the processing indicatorssurface roughness and processing velocity. It shows that the predictive results are in good accord with the test results, with the maximum relative error being less than 12%, meaning the predictive model is reliable and effective.

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Periodical:

Advanced Materials Research (Volumes 941-944)

Pages:

1928-1931

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.941-944.1928

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Online since:

June 2014

Authors:

Guang Mei Yang*, Yun Peng Zhang, Kai Yue Li, Guo Ding Chen

Keywords:

Predictive Model, Processing Indicators, Support Vector Machine (SVM), Ultrasonic Vibration Grinding Assisted Electric Discharge Machining (UVGAEDM)

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