Monitoring of tool wear in turning and Roughness in grinding and milling Using ultrasonic technique a neuro fuzzy modeling Approach

Abstract

Tool life prediction and tool change strategies are now based on newlinemost conservative estimates of tool life from past tool wear data Hence newlineusually tools are under utilized In an unmanned factory this has the effect of newlineincreased frequency of the tool changes and therefore increased cost Several newlinemonitoring methods for mass production have been developed during the last newlinefew decades by many researchers However few reliable indirect methods newlinehave been established for industrial use This is mainly due to the complexity newlineof machining process and the uncertainty in the correlation between the newlineprocess parameters and tool wear newlineAn ultrasound on line measurement of gradual wear during the newlineturning operation is presented The method relies on inducing ultrasound newlinewaves in the tool which propagates through the length of the tool and are newlinereflected by nose rake and flank surfaces The amount of reflected energy is newlinecorrelated with wear land height and crater depth Here the various ultrasonic newlineparameters like time of flight T O F amplitude pulse width and root mean newlinesquare of the signal R M S are considered to quantify the wear land height newlinecrater depth and width of wear The power spectrum analysis of received newlinesignals shows the importance of frequency components in the prediction of newlinetool wear newline