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Erschienen in: The International Journal of Advanced Manufacturing Technology 1/2022

30.01.2022 | Application

Study on the edge defects of high volume fraction 70% SiCp/Al composites in ultrasonic-assisted milling

verfasst von: Peicheng Peng, Daohui Xiang, Xiaofei Lei, Zhanli Shi, Bo Li, Gaofeng Liu, Bo Zhao, Guofu Gao

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 1/2022

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Abstract

Directing at the hard machinability of high volume fraction 70% SiCp/Al composites, a longitudinal and torsional ultrasonic-assisted milling (LTUAM) method is proposed to improve the edge quality and machining efficiency. By observing the metallographic structure of the material, a three-dimensional (3D) finite element model of random distribution of spherical, elliptical and polygonal SiC particles is established and analyzed by ABAQUS simulation software. The formation mechanism of edge defects, stress distribution, defect characteristics and the effect of machining parameters on milling forces are investigated during ultrasonic-assisted milling. The results show that the edge defects appear at the inlet, outlet and middle edge position, especially is more serious at the outlet position. The SiC particles failure modes mainly include particle pullout, particle shearing, and crushing, moreover, the edge defects mainly include matrix tearing, edge breakage, burrs, bulges and pits. Ultrasonic-assisted milling (UAM) with a certain range of ultrasonic amplitude could effectively reduce the surface fragmentation rate and milling force, and it not only could slow down the expansion of cracks, but also increase the plastic flow of material, and obtain better edge quality compared with the traditional machining method. Comparing the results of finite element analysis and experimental tests, it shows that the simulation results are in good agreement with that of tests.

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Metadaten
Titel
Study on the edge defects of high volume fraction 70% SiCp/Al composites in ultrasonic-assisted milling
verfasst von
Peicheng Peng
Daohui Xiang
Xiaofei Lei
Zhanli Shi
Bo Li
Gaofeng Liu
Bo Zhao
Guofu Gao
Publikationsdatum
30.01.2022
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 1/2022
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-08586-y

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