Study on hybrid 3D printing and milling process for customized polyether-ether-ketone components

Polyether-ether-ketone (PEEK) has been widely applied in various fields due to its excellent mechanical properties and biocompatibility. The efficient and high-quality customized manufacturing of PEEK components are investigated in this study by the hybrid 3D printing and milling process. At first, the alternating hybrid process is selected and verified by comparing two typical hybrid process categories and conducting experiments, respectively. Second, a set of procedures are designed to automate the engineering application of the hybrid process trying to avoid the disadvantages of manual programing. Then, considering the tool length and possible interferences during the hybrid process, a model segmentation algorithm, namely, the exchange principle of avoiding interference (EPAI) is proposed. Based on the introduced EPAI and the programing language Python, the additive and subtractive hybrid manufacturing (ASHM) data processing procedure is proposed and realized by post-processing of the conventional 3D printing codes. Finally, the feasibility experiments have been conducted. The experimental results verify the hybrid manufacturing process in the fabrication of parts with complex internal features. The surface roughness <i>R</i><sub>a</sub> and dimensional error <i>L</i> of the parts have been reduced by 75.5% and 85.2%, respectively, while the shear strength <i>τ</i> has been increased by 14.1%. Compared with conventional milling process, the material consumption is reduced by 48.7%.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
Published
2024-10-01
DOI
https://doi.org/10.1177/09544119241282075
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.41

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article

Study on hybrid 3D printing and milling process for customized polyether-ether-ketone components

Ruichun Dong, Huanbao Liu, Guangming Zheng, Yuanyong Liu et al.
2 citations
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
Additive Manufacturing and 3D Printing Technologies
0.41
article

Study on hybrid 3D printing and milling process for customized polyether-ether-ketone components

Ruichun Dong, Huanbao Liu, Guangming Zheng, Yuanyong Liu, Xiang Cheng, Haoyi Sun
article en
2 citations

Abstract

Polyether-ether-ketone (PEEK) has been widely applied in various fields due to its excellent mechanical properties and biocompatibility. The efficient and high-quality customized manufacturing of PEEK components are investigated in this study by the hybrid 3D printing and milling process. At first, the alternating hybrid process is selected and verified by comparing two typical hybrid process categories and conducting experiments, respectively. Second, a set of procedures are designed to automate the engineering application of the hybrid process trying to avoid the disadvantages of manual programing. Then, considering the tool length and possible interferences during the hybrid process, a model segmentation algorithm, namely, the exchange principle of avoiding interference (EPAI) is proposed. Based on the introduced EPAI and the programing language Python, the additive and subtractive hybrid manufacturing (ASHM) data processing procedure is proposed and realized by post-processing of the conventional 3D printing codes. Finally, the feasibility experiments have been conducted. The experimental results verify the hybrid manufacturing process in the fabrication of parts with complex internal features. The surface roughness <i>R</i><sub>a</sub> and dimensional error <i>L</i> of the parts have been reduced by 75.5% and 85.2%, respectively, while the shear strength <i>τ</i> has been increased by 14.1%. Compared with conventional milling process, the material consumption is reduced by 48.7%.

Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in MedicineVol. 238(10)
Shandong University of Technology (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 39%
Additive Manufacturing and 3D Printing Technologies
0.41
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