Ternary Regression Modeling Analysis of NC Ultrasonic Machining Efficiency

Abstract:

To explore the impact of abrasive granularity, feed pressure and cutting feed speed on NC ultrasonic machining efficiency, a three-factor four-level orthogonal test was carried out, and data were analyzed to establish a ternary nonlinear regression model of NC ultrasonic machining efficiency. Furthermore, significance of the regression model and impact of all independent variables on dependent variables were studied. The study showed that when significance level is α = 0.01, the combination of the three factors tested impacts significantly on machining efficiency indicators. However, among the three factors, the abrasive granularity has the highest impact and its impact on the machining efficiency is nonlinear.

• Periodical: Applied Mechanics and Materials (Volumes 37-38)
• Pages: 1388-1392
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.37-38.1388
• Online since: November 2010
• Authors: Gao Yan Zhong
• Keywords: NC Ultrasonic Machining Efficiency, Ternary Nonlinear Regression Model, Test Data Analysis

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