TY - JOUR
T1 - Parameter optimization of five-axis polishing using abrasive belt flap wheel for blisk blade
AU - Zhang, Junfeng
AU - Shi, Yaoyao
AU - Lin, Xiaojun
AU - Li, Zhishan
N1 - Publisher Copyright:
© 2017, The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Considering the weak rigidity of blisk blades and the limited accessibility of blisk tunnels, polishing blisk blades is difficult when using tools with poor flexibility and large dimension. Hence, to reduce the Surface roughness (SR) of a blisk blade, five-axis polishing method with Abrasive belt flap wheel (ABFW) is employed to polish the blisk blade based on the analysis of the blisk structure and advantages of ABFW polishing. Polishing experiments based on central composite design are performed using ABFW. Response surface method (RSM) is employed to establish a predictive model between SR and various parameters, including ABFW size, contact force, spindle speed, and feed rate. Analysis of variance is then performed to evaluate the proposed model. The degree of influence of each factor on SR after polishing using ABFW is determined by plotting main effects. The interactions of polishing factors on SR are analyzed by RSM. Optimal parameters are obtained by response surface optimization. Finally, an experiment on blisk blade polishing using ABFW on a five-axis polishing machine is carried out for confirmation. Results indicate that the surface quality of the blisk blade after polishing is significantly improved, with SR being less than 0.4 μm.
AB - Considering the weak rigidity of blisk blades and the limited accessibility of blisk tunnels, polishing blisk blades is difficult when using tools with poor flexibility and large dimension. Hence, to reduce the Surface roughness (SR) of a blisk blade, five-axis polishing method with Abrasive belt flap wheel (ABFW) is employed to polish the blisk blade based on the analysis of the blisk structure and advantages of ABFW polishing. Polishing experiments based on central composite design are performed using ABFW. Response surface method (RSM) is employed to establish a predictive model between SR and various parameters, including ABFW size, contact force, spindle speed, and feed rate. Analysis of variance is then performed to evaluate the proposed model. The degree of influence of each factor on SR after polishing using ABFW is determined by plotting main effects. The interactions of polishing factors on SR are analyzed by RSM. Optimal parameters are obtained by response surface optimization. Finally, an experiment on blisk blade polishing using ABFW on a five-axis polishing machine is carried out for confirmation. Results indicate that the surface quality of the blisk blade after polishing is significantly improved, with SR being less than 0.4 μm.
KW - Blisk
KW - Flap wheel
KW - Flexible polishing
KW - Parameter optimization
KW - Response surface methodology
UR - http://www.scopus.com/inward/record.url?scp=85032300771&partnerID=8YFLogxK
U2 - 10.1007/s12206-017-0928-0
DO - 10.1007/s12206-017-0928-0
M3 - 文章
AN - SCOPUS:85032300771
SN - 1738-494X
VL - 31
SP - 4805
EP - 4812
JO - Journal of Mechanical Science and Technology
JF - Journal of Mechanical Science and Technology
IS - 10
ER -