Robust modeling and optimization of borehole enlarging by helical milling of aluminum alloy Al7075

Rodrigues, Vanessa Flavianne Santana; Ferreira, João Roberto; Paiva, Anderson Paulo de; Souza, Luiz Gustavo Paes de; Pereira, Robson Bruno Dutra; Brandrão, Lincoln Cardoso

doi:10.1007/s00170-018-2832-x

Cited by 10 publications

(2 citation statements)

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“…Recently, orthogonal test Error! Reference source not found.7], multi-objective genetic algorithm [8][9], robust optimization model [10][11][12][13] and grey correlation analysis [14][15][16] were used for solving above problems. Sheng [7] achieved the optimal parameter combination by analyzing horizontal range and contribution rate: spindle speed 2000 r/min, feed per tooth 0.07 mm/z, axial feed 0.25 mm/r.…”

Section: Introductionmentioning

confidence: 99%

“…And finally, the machining parameters of CFRP helical milling were optimized based on multi-objective genetic algorithm, three groups of optimization parameters were: when cutting speed were 100 m/min, 110 m/min and 120 m/min, respectively, the corresponding tangential feed per tooth were 0.05 mm/z, 0.06 mm/z, 0.05 mm/z, respectively, and the axial feed were all always 0.2 mm/r. Pereira and Rodrigues developed a multi-objective robust optimization model, which had better predicted the experimental results and determined the optimal parameter combinations were: cutting speed 66.2 m/min, tangential feed per tooth 2.7 m/z, and axial feed per tooth 79.3 m/z [10][11][12][13]. Wang and Tian [14][15] performed multi-objective optimization of machining parameters of helical milling in steady state based on grey correlation analysis, and the optimal parameter combinations were: spindle speed 3000 r/min, feed per tooth 0.9 mm/z, axial feed 1 mm/r (Tian); and cutting speed 80 m/min, feed per tooth 0.05 mm/z, axial feed 0.1 mm/r (Wang).…”

Section: Introductionmentioning

confidence: 99%

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

Zhou,

Wang,

et al. 2024

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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.

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