Abstract
Current manufacturing systems, including dedicated transfer lines and flexible manufacturing systems, do not provide adequate and most economical solutions for products with variable market demands. One of the crucial problems in manufacturing is the machine tool failure due to loss of surface material in cutting operations like drilling and milling. Proceeding with a damaged tool may result in unfit fabricated work piece. On the other hand, it is unnecessary to change the cutting tool if it is still able to continue cutting operation. Hence, an effective diagnosis mechanism is necessary for the automation of machining processes so that production loss and downtime can be avoided. This study concerns with the development of a tool wear condition-monitoring technique. Tool Wearing Monitoring technique can be established based on fuzzy logic. Fuzzy logic scheme explains Tool wearing Monitoring based on Signal processing by obtaining statistical parameters derived from thrust force, machine sound and vibration signals were used as inputs to fuzzy process and their output values serves as the input parameters to the second stage. The second stage with a remarkable threshold function, then assess the condition of the tool. Index Terms- FFT, Singular Spectrum Analysis, Tool Wearing Monitoring.
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