
Paper Publications
- [61][7] Chenbing Ni, Lida Zhu, Zhongpeng Zheng, et al. Effect of material anisotropy on ultra-precision machining of Ti-6Al-4V alloy fabricated by selective laser melting [J]. Journal of Alloys and Compounds, 2020(848):1-21.(SCI JCR Q1) IF=4.65.
- [62][8] Chenbing Ni, Lida Zhu*,Investigation on machining characteristics of TC4 alloy by simultaneous application of ultrasonic vibration assisted milling (UVAM) and economical-environmental MQL technology[J], Journal of Materials Processing Technology,2020(278):1-19.(SCI JCR Q1) IF=4.669.
- [63][9] Dun Yichao,Lida Zhu*,Multi-modal method for chatter stability prediction and control in milling of thin-walled workpiece[J], Applied Mathematical Modelling. 2020(80):602-624. (SCI JCR Q1) IF=3.633.
- [64][10] Shuhao Wang, Lida Zhu. Multi-physics modeling and Gaussian process regression analysis of cladding track geometry for direct energy deposition[J], Optics and Lasers in Engineering,2020(127):1-10. (SCI JCR Q1) IF=4.273.
- [65][11] Lida Zhu*, Shuhao Wang.Research on remanufacturing strategy for 45 steel gear using H13 steel powder based on laser cladding technology[J], Journal of Manufacturing Processes,2020(49): 344-354.(SCI JCR Q2) IF=4.086.
- [66][12] Lida Zhu*, Changfu Liu. Recent progress of chatter prediction, detection and suppression in milling[J], Mechanical Systems and Signal Processing,2020(146):1-37.( SCI JCR Q1) IF=6.471.
- [67][13] Lida Zhu*, Changfu Liu.Vibration recognition for peripheral milling thin-walled workpieces using sample entropy and energy entropy[J]. International Journal of Advanced Manufacturing Technology, 2020(108):3251-3266.(SCI JCR Q2) IF=2.633.
- [68][14] Changfu Liu. Lida Zhu*, A two-stage approach for predicting the remaining useful life of tools using bidirectional long short-term memory[J]. Measurement, 2020(164):1-12.(SCI JCR Q1) IF=3.364.
- [69]2019年.
- [70][1] Ning Jinsheng,Zhu Lida*,Parametric design and surface topography analysis of turbine blade processing by turn-milling based on CAM[J],International Journal of Advanced Manufacturing Technology, 2019 (104):3977-3990.(SCI JCR Q2) IF=2.633.
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Lida

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 Email:4728d162a3df215b8af960ebc9c0013ab644438fee920407083a6897f5b7756e103a37271ea695676ffca42522c602ed801e97efca5929f34e37e939769e6b68c518a89569ea62736125051f1250b76b24cbf58b73d8b3095c95517edcc9cca533feacab70e99a420d53d58c8a7679828977963bb2a2fec1b92d030c443f4b62
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