In order to study the influence of machining parameters on ultrasonic-assisted magnetic abrasive finishing (UAMAF) of titanium alloy

the orthogonal experiments were carried out with surface roughness and material removal rate (MRR) as evaluating indicator. The single-objective and multi-objective optimization of the machining parameters were carried out based on signal-to-noise ratio (S/N) and grey correlation analysis methods. The results show that the best process aiming at surface roughness and MRR is the abrasive particle size of 50/60#

amplitude of 14μm

and tool speed of 1000r/min and 1200r/min

magnetic pole and workpiece gap of 1mm and 1.25mm

finishing time of 40min and 30min respectively. The optimized surface roughness and MRR are R a 0.08μm and 30.5mg/h respectively. The optimum process combining surface roughness and MRR is the abrasive particle size of 50/60#

amplitude 14μm

finishing time of 30min

magnetic pole and workpiece gap of 1.00mm

tool speed of 1200r/min. The surface roughness and MRR are R a 0.12μm and 27.9mg/h respectively.