GAO Yanfeng, PU Jingwei, FANG Xiang’en. Multi-Objective Optimization of Helical Milling Process for CFRP/Titanium Alloy Stacks Based on Taguchi Grey Relational Analysis. Aeronautical Manufacturing Technology, 2019, 62(14): 90-95.
GAO Yanfeng, PU Jingwei, FANG Xiang’en. Multi-Objective Optimization of Helical Milling Process for CFRP/Titanium Alloy Stacks Based on Taguchi Grey Relational Analysis. Aeronautical Manufacturing Technology, 2019, 62(14): 90-95. DOI: 10.16080/j.issn1671–833x.2019.14.090.
To improve the hole-making quality for CFRP/Ti6Al4V stacks and optimize the helical milling process parameters
experiments were designed and implemented based on the Taguchi method. The spindle rotation speed
feed rate and pitch were taken as the design variables in the experiments. The hole diameter error
surface roughness and damage factor in the composite material layer were taken as the output indicators of the Taguchi model. Based on the Taguchi experimental results
the grey relational analysis and principal components analysis were adopted to optimize the helical milling process parameters. The influences of helical milling parameters on the signal noise ratios
principal components and the grey correlation degrees of output indicators were analyzed. The experiment results show that the optimal helical milling parameters are spindle speed 2000r/min