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Prediction of chatter stability for enhanced productivity in parallel orthogonal turn-milling

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Abstract

To increase productivity and the material removal rate, an increasing number of factories have been employing multiple tools for simultaneous cutting. Among these tools is parallel orthogonal turn-milling, which is an important parallel-processing method. However, a dynamic interaction occurs during the cutting processes due to the waviness induced on the shared cutting surface and the dynamic coupling through the machine structure, creating machining vibrations, or chatter, which affect the quality of the machined surface. Therefore, to reduce or avoid the vibration problem during the cutting process, chatter stability of parallel orthogonal turn-milling was examined in this study. Initially, a chatter mechanism model of parallel orthogonal turn-milling was designed, and the limit-critical axial depth of the cut formula was obtained. Next, the model parameters of the machine tool were obtained based on the hammer test method. A parallel orthogonal turn-milling stability lobe diagram (SLD) with tool tip runout was constructed. Finally, the experimental results were verified on a high-efficiency turn-milling machine tool. The results showed that chatter can be predicted for parallel orthogonal turn-milling and an SLD can provide a reference for the selection of machining parameters. In addition, the SLD can also guide the formulation of processing technology specifications. Our results are extremely significant for ongoing research in the field of machining methods.

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Acknowledgments

The authors would also like to thank Mr. Zhenwei Jiang and Ms. Hui Li (Northwest Industrial Group) for assistance with the experiments.

Funding

The authors are very grateful for the financial support of the National Natural Science Foundation of China (51805035), National Pre-Research Project (NO.41423020201), Graduate Technology Innovation Project Beijing of Institute of Technology (NO.2018CX20021), and Major Special Fund of Shandong Province (2017CXGC0801).

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Authors and Affiliations

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Zhongpeng Zheng, Xin Jin, Yewang Sun, Zhijing Zhang, Hongchang Sun & Qiming Li

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  1. Zhongpeng Zheng
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  2. Xin Jin
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  3. Yewang Sun
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  4. Zhijing Zhang
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  5. Hongchang Sun
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Correspondence to Xin Jin.

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Zheng, Z., Jin, X., Sun, Y. et al. Prediction of chatter stability for enhanced productivity in parallel orthogonal turn-milling. Int J Adv Manuf Technol 110, 2377–2388 (2020). https://doi.org/10.1007/s00170-020-06015-0

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  • DOI: https://doi.org/10.1007/s00170-020-06015-0

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