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Erschienen in: The International Journal of Advanced Manufacturing Technology 1-2/2022

09.11.2021 | ORIGINAL ARTICLE

Quality prediction of polygonal helical curved tube by abrasive flow precision machining

verfasst von: Junye Li, Shangfu Zhu, Jinbao Zhu, Chengyu Xu, Hengfu Zhang, Guangfeng Shi, Weihong Zhao, Jianhe Liu

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 1-2/2022

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Abstract

The polygonal helical curved tube is the main form of rifling barrel, which surface quality determines the shooting accuracy of the gun. Abrasive flow machining (AFM) technology can significantly improve its inner surface quality. In order to study the influence of AFM technical parameters on the inner surface quality of polygonal helical curved tube, orthogonal experimental design (OED) was used as the research method in this paper. Through the analysis of variance (ANOVA) of experimental data, the degree of influence of inlet pressure, abrasive concentration, abrasive particle size, and machining time on the inner surface quality of polygonal helical curved tube was determined, and the optimal combination of process parameters was obtained. Under the optimal process parameters, the surface roughness Ra value in the inlet area of the polygonal helical curved tube was reduced to 0.080μm. The surface quality was significantly improved. Based on the regression analysis of experimental data, the quality prediction model of polygonal helical curved tube roughness by AFM was established to realize the effective prediction of surface quality after machining. The fitting value calculated by the model with optimal process parameters is close to the experimental value, which proves the accuracy and validity of the prediction model.

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Metadaten
Titel
Quality prediction of polygonal helical curved tube by abrasive flow precision machining
verfasst von
Junye Li
Shangfu Zhu
Jinbao Zhu
Chengyu Xu
Hengfu Zhang
Guangfeng Shi
Weihong Zhao
Jianhe Liu
Publikationsdatum
09.11.2021
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 1-2/2022
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-07984-6

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