男，1994年10月生，工学博士，目前主要从事智能制造、先进刀具数字化制造、功能表面研究。参与国家自然科学基金1项。

教育背景

2013年09月-2017年4月黑龙江东方学院机械设计制造及其自动化学士

2017年09月-2020年04月哈尔滨理工大学机械制造及其自动化硕士

2020年09月-2023年12月哈尔滨理工大学机械制造及其自动化博士

工作经历

2024年04月-至今 welcometo欢迎光临888集团888集团讲师

教科研成果

[1] Zhang Wei, Zhang Lei*, Wang Ben, Wang Shuqi. Finite element simulation analysis of bionic ball-end milling cutter [J]. The International Journal of Advanced Manufacturing Technology, 2019, 103(5-8):3151-3161.(SCI检索-3区-影响因子3.56) 2019.05.08

[2] Zhang Lei, Zheng Minli, Zhang Wei*, Wang Ben. Continuous stamping simulation and wear analysis of die considering milling surface topography [J]. The International Journal of Advanced Manufacturing Technology, 2021, 114(5-6):1777-1785.(SCI检索-3区-影响因子3.56) 2021.04.03

[3] Zhang Wei*, Zhang Lei, Zheng Minli, Wang Ben. Analysis of Wear Resistance Based on Milling Topography [J]. Integrated Ferroelectrics, 2021,218:1.119-128. (SCI检索-4区-影响因子0.83) 2021.08.15

[4] Zhang Lei, Zheng Minli, Zhang Wei*, Li Kangning. Research on friction and wear characteristics based on different texture angles of milling topography [J]. Surface Topography: Metrology and Properties, 2021,9(4): 045054. (SCI检索-3区-影响因子2.18) 2021.12.31

[5] Zhang Lei, Zheng Minli, Zhang Wei*, Li Kangning. A roughness calculation method based on milling topography simulation [J]. Surface Topography: Metrology and Properties, 2022,10(2): 025029. (SCI检索-3区-影响因子2.18) 2022.06.17

[6] Zhang Lei, Zheng Minli, Zhang Wei*, Li Kangning. Influence and prediction of tool wear on workpiece surface roughness based on milling topography analysis [J]. International Journal of Advanced Manufacturing Technology, 2022,122(3-4):1883-1896. (SCI检索-3区-影响因子3.56) 2022.08.30

知识产权：

发明专利:

《一种截面可调式液压碎桩机》CN201821540445.9张为；张磊；王书琦2019.06

《一种背吃刀量可调的高速复合车刀》CN201821540445.9张为；张磊；王书琦2019.06