Finite analysis of carbon fiber–reinforced polymer delamination damage during multi-pass milling

Ning, Haifeng; Zheng, Hualin; Ma, Xiufen; Yuan, Xinman

doi:10.1007/s00170-021-08628-5

Cited by 3 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, the CFRP finite element model are mainly divided into micro-scale model [27][28][29] and macro-scale model [30][31][32]. Macro-scale model is mostly used to investigate the cutting force, macroscopic machining morphology and interface damage of CFRP stacks.…”

Section: Finite Element Modeling Of Cfrp Helical Millingmentioning

confidence: 99%

Multi-objective grey correlation analysis based on CFRP helical milling simulation model

Zhou,

Wang,

et al. 2024

Preprint

View full text Add to dashboard Cite

Helical milling is widely used in aerospace as a key processing technology for Carbon fiber reinforced polymer (CFRP). However, the eccentric machining characteristics lead to an unusually complex pattern of cutting force and residual stress distribution on the work-piece during helical milling processing. Based on the Hashin failure criterion, a 3D FEM model of CFRP helical milling was built for analyzing the changing law of cutting force, then the three factors and three levels orthogonal tests were used to investigate the influence of machining parameters on axial force, radial force and minimum principal residual stress, finally the multi-objective optimization based on grey correlation analysis was realized. Results showed that the errors of axial force and radial force obtained by simulation and experiment were 10.68% and 12.26%, respectively. The axial force and radial force were negatively correlated to the spindle speed, positively correlated to the axial cutting depth, and uncorrelated to the feed per tooth. The minimum principal residual stress was negatively correlated to the spindle speed, positively correlated to the feed per tooth, and uncorrelated to the axial cutting depth. The degree of influence on optimization of machining parameters was: spindle speed>axial cutting depth>feed per tooth. The corresponding average grey correlation degree differences were 0.280981, 0.216859 and 0.013422, respectively. The maximum value of grey correlation degree in the orthogonal test was 0.874372, and the corresponding optimal parameters combination was the spindle speed 8000 r/min, feed per tooth 0.03 mm/z and axial cutting depth 0.2 mm/r.

show abstract