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- 저자 : Lida Zhu (검색결과 2 건)
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Lida Zhu,Jijiang Wu,Zhaobin Li,Changfu Liu 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.10
Titanium alloy thin-plates have been widely used in the aerospace, automotive and biomedical industries, to name a few. The chipmorphologies and material properties of the thin plate were investigated under different cutting parameters in this paper. First, to furtherunderstand the variability and inherent rules of chip morphology, the characteristics of multi-surface chips (free, back, and cross-sectionsurfaces) were observed and studied by using a scanning electron microscope. The sawtooth frequency and degree of segmentation wereanalyzed through the geometrical characteristics of a serrated chip. Second, variations in the chip microhardness and the wear of the millcutter were measured and investigated under different machining parameters. Results show that the hardenability increases with the increasein cutting speed and the shear band shows higher microhardness than in other parts. In addition, the degree of insert wear decreaseswith proper cutting speed and feed. Some key conclusions and future work about high-speed milling thin-plate Ti-6Al-4V aregiven.
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Yichao Dun,Lida Zhu,Shuhao Wang 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.9
The idea of integral calculus is used in traditional milling force prediction methods. In the traditional method, the milling cutter is divided into many micro-elements, the force of each micro-element is calculated, and then the integral summation process is applied to all the micro-elements. In traditional milling force prediction methods, both the workpiece and the tool are assumed to be rigid bodies. In this paper, the method is improved; the Fourier series expansion is used to approximate the periodic milling force and the workpiece is considered as a single degree of freedom spring-damping-vibration system. Through the forced vibration model of periodic force, the vibration displacement of the workpiece is obtained. Then, the radial cutting depth is corrected by the vibration displacement of the workpiece. Finally, the original milling force is corrected with the corrected radial cutting depth. The milling force prediction model based on thin-walled workpiece is obtained through the above process. The model is named as variable-radial-cutting-depth-algorithm (VRCDA). Finally, the accuracy of this model was verified through modal test and milling force acquisition experiments.
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