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The International Journal of Advanced Manufacturing Technology

Erschienen in:

03.01.2023 | Original Article

Optimization model for ultrasonic-assisted dry helical milling of CFRP based on genetic algorithm

verfasst von: Xue Wang, Feng Jiao, Shun Zhang, Yuanxiao Li, Jinglin Tong, Ying Niu

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-6/2024

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Abstract

Carbon fiber–reinforced polymer (CFRP) has the characteristics of high brittleness and high hardness, which easily causes delamination damage and burr damage, resulting in low hole-making efficiency, and the application of cutting fluid in the process will lead to the decrease of mechanical properties of the material. In order to improve the surface quality and processing efficiency of CFRP, an ultrasonic-assisted dry helical milling technology is proposed. Taking tool rotation speed, feed rate, pitch, and ultrasonic amplitude as optimization variables and taking minimum delamination damage, burr damage, and maximum material removal rate as objective functions, multi-objective optimization models are established through experiments and genetic algorithm, and Pareto optimal solution sets are obtained. The results show that the influence weights are in the order of pitch, tool rotation speed, ultrasonic amplitude, and feed rate for the analysis of variance of delamination damage, accounting for 38.7%, 24.9%, 20.9%, and 15.5%, respectively. The maximum weight of pitch is 29.7%, and the minimum weight of ultrasonic amplitude is 18.1%, in the analysis of variance of burr damage. Finally, multi-objective optimization models are verified by experiments, and it is concluded that the established optimization models can provide multiple parameter optimization schemes for different engineering applications with high accuracy.

Vorheriger Artikel Effect of pulse current parameters on electroplastically assisted dry cutting performance of W93NiFe alloy

Nächster Artikel Machinability evolution of gas–liquid-solid three-phase rotary abrasive flow finishing

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Titel: Optimization model for ultrasonic-assisted dry helical milling of CFRP based on genetic algorithm
verfasst von: Xue Wang
Feng Jiao
Shun Zhang
Yuanxiao Li
Jinglin Tong
Ying Niu
Publikationsdatum: 03.01.2023
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 5-6/2024
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-022-10766-3

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