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Machining Efficiency Model Based on the Multiple Regression Theory in Turning Glass Ceramics

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Abstract:

The materials removal rate (V/VB) was selected to be objective function. It is comprehensive parameter about materials and tools wear. Through turning glass ceramics experimentation, the materials removal influence of cutting speed, cutting depth and feed speed were study. Based on least square method, the multiple regression prediction model of materials removal rate was built. And the model was tested. It was applied to predictive and control. The results indicated: this model was well to express materials removal law in turning glass ceramics. The multiple regression prediction model is high remarkable. The prediction value was coincident with measure value. This model is high reliability. So, expect materials removal rate can been obtained by this model, and choosing the technological parameter can been guided.

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Periodical:

Applied Mechanics and Materials (Volumes 201-202)

Pages:

1092-1095

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.201-202.1092

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Online since:

October 2012

Authors:

Lian Jie Ma, Ai Bing Yu, Ya Dong Gong

Keywords:

Glass-Ceramic, Material Removal, Multiple Regression, Prediction Model, V/VB

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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