MODELING OF MATERIAL REMOVAL RATE IN ULTRASONIC MACHINING OF TUNGSTEN CARBIDE USING THE REGRESSION METHOD
Keywords:
Regression, Hardness, ModelAbstract
This paper describes the application of regression method in investing the effects of the electrical and physical parameters on the material removal rate in ultrasonic machining of tungsten carbide. Tungsten carbide as a super hard and high wear-resistant material has been used widely in industries. Powder metallurgy technology is the common method for producing tungsten carbide components. However, this method is obviously too costly and time consuming for small quantity production, such as product prototyping. It is expected to make the prototypes by a material removal process, such as ultrasonic machining. A brief explanation of the material removal rate is presented and the parameters influencing this output factor are identified. The statistica 7.0 software has been used for the regression method to obtain mathematical model .The validity of the results is verified since it predicts results which are in good agreement with experimental findings
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