|
- [2] Chenbing Ni, Lida Zhu*, Changfu Liu, Zhichao Yang. Comparative investigation of tool wear mechanism and corresponding machined surface characterization in feed-direction ultrasonic vibration assisted milling of Ti-6Al-4V from dynamic view[J], Wear,2019(436):1-17. (SCI JCR Q1) IF=4.108.
- [3] Yang zhichao. Zhu Lida*, Investigation of surface topography formation mechanism based on abrasive-workpiece contact rate model in tangential ultrasonic vibration-assisted CBN grinding of ZrO2 ceramics[J], International Journal of Mechanical Sciences,2019(155):66-82(SCI JCR Q1) IF=4.631.
- [4] Yang zhichao. Zhu Lida*, Bin Lin, Guixiang Zhang, Chenbing Ni, Tianyi Sui. The grinding force modeling and experimental study of ZrO2 ceramic materials in ultrasonic vibration assisted grinding[J].Ceramics International, 2019. 45(7) :8873-8889.(SCI JCR Q1) IF=3.83.
- [5] Lida Zhu*, Zhichao Yang. Investigation of mechanics and machinability of titanium alloy thin-walled parts by CBN grinding head[J].The International Journal of Advanced Manufacturing Technology,2019.100(9):2537-2555(SCI JCR Q2) IF=2.633.
- [6] Boling Yan，Lida Zhu*, Research on milling stability of thin-walled parts based on improved multi-frequency solution[J]. International Journal of Advanced Manufacturing Technology 2019(102):431–441 (SCI JCR Q2) IF=2.633.
- [7] Dun yichao, Lida Zhu*,Investigation on Milling Force of Thin-walled Workpiece Considering Dynamic Characteristics of Workpiece[J], Journal of Mechanical Science and Technology,2019.33(9):4061-4079. (SCI JCR Q3) IF=1.345.
- [8] Zhu Lida*,Ni chenbing. Investigations of micro-textured surface generation mechanism and tribological properties in ultrasonic vibration-assisted milling[J], Precision Engineering,2019(57):229-243(SCI JCR Q2) IF=3.018.
- [9] 倪陈兵, 朱立达*，宁晋生，杨志超，刘长福. 超声振动辅助铣削钛合金铣削力信号及切屑特征研究[J], 机械工程学报, 2019.55(7):207-216（EI）.
- 2018年.
- [1] Yang Ding, Lida Zhu*.Investigation on chatter stability of thin-walled parts considering its flexibility based on finite element analysis[J], International Journal of Advanced Manufacturing Technology, 2018. 94(9-12):3173–3187. (SCI JCR Q2) IF=2.633.