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Surface micro-texture and tribological properties in longitudinal-torsional ultrasonic-assisted milling Ti2AlNb

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Abstract

Ti2AlNb has much application potential in the aerospace sector thanks to its outstanding material characteristics. Poor wear resistance, however, blocks its development. This study used LTUAM (longitudinal-torsional ultrasonic-assisted milling) to get the surface micro-texture of Ti2AlNb in order to address the issue. By comparing traditional milling (CM), the surface micro-texture and tribological characteristics were studied. On this basis, the kinematic characteristics of the elliptical vibration were explored, introducing the critical condition of the separated pattern. In addition, the torsion-rotation ratio was put forward to understand the separation characteristics. The corresponding finite element model exhibited these kinematic characteristics. The model also looked into how the cutting parameters affected the way surface microtexture was generated. Experimental results indicated that machined surfaces with uniform micro-texture were seen in LTUAM, whereas scratches predominated in CM. The variation of micro-texture and surface roughness was discussed in respect to cutting parameters. It has been demonstrated that a machined surface with uniform micro-texture had superior tribological properties. The friction coefficient under LTUAM was approximately 27.08% less than that in CM.

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Data availability

The datasets analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors deeply acknowledge the Key Laboratory of High Performance Manufacturing for Aero Engine (Northwestern Polytechnical University) and Engineering Research Center of Advanced Manufacturing Technology for Aero Engine (Northwestern Polytechnical University) for providing us with the ability to conduct this research.

Funding

This work was co-supported by the National Natural Science Foundation of China (Nos. 91960203 and 51875473), and the Science Center for Gas Turbine Project (P2022-A-IV-001–002).

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Contributions

Ziwen Xia: methodology, validation, data curation, writing — original draft. Guofu Gao: conceptualization, methodology, software, writing — original draft. Yi Wang: visualization, investigation. Menghua Zhang: visualization, investigation. Fangchao Jia: conceptualization, methodology, supervision. Chenwei Shan: supervision, funding acquisition, writing — review and editing.

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Correspondence to Chenwei Shan.

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Xia, Z., Gao, G., Wang, Y. et al. Surface micro-texture and tribological properties in longitudinal-torsional ultrasonic-assisted milling Ti2AlNb. Int J Adv Manuf Technol 126, 1919–1935 (2023). https://doi.org/10.1007/s00170-023-11211-9

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