flank wear मीनिंग इन हिंदी

The average and maximum flank wear lands �� , notch wear at the depth of cut , and nose wear were measured by using a microscope with magnification of 10x
A cutting force model in turning on cutting parameters ( the depth of cut , feed rate , workpiece material and tool material ) and tool condition ( focusing on tool flank wear ) was developed
In this study , based on bispectrum and bicoherence extraction of vibration acceleration signals at spindle end of a vertical machining center while milling operation , change rules of bispectrum and bicoherence of the signals were analyzed for the progressive wearing process of the flank wear land of the milling cutters
On the basis of the theory of fractal geometry , the fractal dimension characters of ae signal at different tool wear states were analyzed , an algorithm was provided to decide the scale range which is necessary to calculate the dimension of non - fully - fractal form . the experiments showed that the fractal dimension of ae signal is slightly effected by the changes of cutting parameters ; the variance of the fractal dimensions , which reflects the geometric characters of ae signals , has the same tendency as that of the flank wear , the monitoring system , which takes the fractal dimension of the ae signal as the feature , can identify the different tool wear states more correctly under different cutting conditions