DEVELOPMENT OF A FUZZY LOGIC MODEL TO PREDICT THE FORCE MEASUREMENT OF A CEMENTED CARBIDE MATERIAL CUTTING TOOL
Abstract
Multiple Inputs and Multiple Outputs (MIMO) Fuzzy logic model is developed to predict the Force Measurement of a Cemented Carbide Material Cutting Tool. The cutting forces generated in metal cutting have a direct influence on generation of heat, tool wear or failure, quality of machined surface and accuracy of the work piece. In order to achieve good machinability and to improve the product quality, it is desirable to have minimum
values of cutting force and surface roughness. Hence it is necessary to measure and maintain the force at the desired level. If this can be obtained, it will be possible to achieve tool wear monitoring in turning based on force variation. The reason for the cutting force measurement is that it is a good indicator in detecting tool wear. The cutting force can be measured using a full-bridge strain gauge sensor and the same is acquired through DAQ (Data Acquisition) card. The sensor used for measuring the cutting force is full-bridge strain gauge sensor. The Full- Bridge Type II arrangement utilizes four active gauges subject to a uniaxial stress, with two gauges aligned to measure the maximum principal strain, and the other two aligned to measure the transverse Poisson’s strain. A fuzzy logic model is developed to predict the values of the cutting force at any operating conditions. In this model triangular membership function is used to predict the force measurement. Computational results clearly demonstrated that, the proposed fuzzy models produced less deviations and exhibited higher accuracy. The developed fuzzy model shows an error percentage less than 1.40%. This reveals that the prediction of cutting force is in good agreement with the actual value.
Author
R.S. Karrthik
N.Thinesh
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