Abstract
Herein, to decompose and reconstruct surface morphology after machining, the high- and low-frequency roughness surface and roughness evaluation data for titanium alloy (Ti-5553) are obtained using Sym5 wavelet. The effects of cutting conditions and parameters on the surface morphology in different frequency bands are analysed. The cutting parameters of Ti-5553 machining are optimised. The experimental and analytical results show that the low-temperature processing of liquid nitrogen affects the high- and low-frequency roughness surface, whereas cutting speed and feed affect the low-frequency roughness surface. The surface comprehensive performance is better when the cutting speed is 70 m/min and feed is 0.05 mm/r under the low temperature of liquid nitrogen, which provides theoretical support for the better surface morphology of Ti-5553 in machining. The wavelet transform is also used to analyse the three-dimensional surface morphology of the machined workpiece.
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