LAUSR

Objective of the present study is to determine an optimum range of turning parameters using merged wavelet denoising and local mean decomposition (WDLMD) technique in order to establish stable turning settings in computer numerical control (CNC) lathe. In this method, the embedded ambient noise and other disturbances in experimentally acquired chatter signals are removed using wavelet denoising (WD). Further, local mean decomposition (LMD) technique is applied on denoised signals to extract a series of product functions (PFs). Thereafter, fast Fourier transformation (FFT) of these PFs is done and then considering these FFTs, prominent PFs containing the chatter information are selected. These prominent PFs are combined to reconstruct the signal containing rich information of chatter. Finally, reconstructed signal has been explored by evaluating statistical indexes in order to extract tool chatter features and stability regimes in CNC turning. More experiments have been performed to corroborate the ascertained stability zone.