高档数控装备研究所
学科团队负责人：胡俊
学科团队成员：梁越昇、李蓓智、胡俊、周虎、王庆霞、张亚伟、庞静珠、季霞、李康妹、吴重军、孙小庆、郭纯方、姜振华、虞宙
主要研究方向：智能装备设计与集成；机器视觉及自动化控制；高性能制造理论及工艺
主要教学课程：《机械制造技术基础》、《互换性与测量技术基础》、《数控技术与系统》、《机械制造装备设计》、《先进制造技术》、《精密测量技术》、《制造过程监测与控制》、《现代制造装备控制技术》
教学科研成果：
先后完成国家自然科学基金、国家973课题、国家重点研发计划、04国家科技重大专项、省部级科技重点、上海市科委专项、马鞍山博望高端数控机床研究中心建设、上海航天联合基金等五十多个项目的研究。主持《机械制造技术基础》上海市精品课程；主编《先进制造技术》荣获上海高校优秀教材二等奖；授课/教材/实验三位一体夯实《互换性与测量技术基础》课程建设获得2015年东华大学教学成果二等奖；全方位资源整合、共享、开放和互动的本硕博一体化培养模式研究与实践”荣获2017年东华大学教学成果一等奖。目前已发表国内外学术论文120余篇，SCI检索50余篇，EI检索80余篇；专利授权40余项，软件著作权32项。出版专著10本，获得上海科技进步奖2项。
国家省部级科研项目：
国家科技重大专项，“复合材料导弹发射箱柔性打磨设备设计与关键技术研究”
国家科技重大专项，“大型运载火箭箱底空间曲线搅拌摩擦焊关键技术研究与可靠性验证”
国家自然科学基金，“碳纤维增强复合材料紫外皮秒激光铣削机理与工艺规划研究”
国家自然科学基金，“人工关节金属件表面激光冲击微造型的无菌性松动抑制机理”
国家自然科学基金，“基于材料动态力学的钛合金微量润滑铣削残余应力生成机理及预测模型研究”
国家自然科学基金，“面向薄膜子镜的磁致伸缩柔顺张紧装置协同隔振机理及优化设计研究”
上海科委基金，“航天设备机加工单元标准研究”
上海科委基金，“铝合金构件搅拌摩擦焊工艺规范研究”
上海经信委基金，“航天零件多品种少批量智能加工车间的工业互联网创新应用”
国核电站项目，“基于线结构光核燃料组件缺陷水下检测装置研究”
国核电站项目，“遥操作扫查机器人动力学分析与运动控制软件”
政府委托项目，“焊接/打磨机器人自动编程软件开发”
政府委托项目，“碳纤维增强复合材料3D打印机研制”
企业委托项目，“机器人动力学分析软件3D仿真与功能界面设计”
企业委托项目，“大直径锯片数控高速磨床设计与优化”
企业委托项目，“面向手工枪刺地毯制造业的企业资源计划系统开发”
部分SCI源刊论文：
Kangmei Li, Yifei Wang, Yu Cai, Jun Hu*. Process mechanism in laser peen texturing artificial joint material [J]. Optics and Lasers in Engineering, 2019, 115: 149-160. (SCI, IF：4.059)
Chongjun Wu, Jingzhu Pang*, Beizhi Li, Steven Y. Liang. High-speed grinding of HIP-SiC Ceramics on transformation of microscopic features [J]. International Journal of Advanced Manufacturing Technology. 2019, 102:1913–1921. (SCI, IF：2.496)
Yifei Wang, Jun Hu, Kangmei Li*. Defect control strategy of carbon fiber reinforced polymer during nanosecond ultraviolet laser processing [J]. Materials Research Express, 2019, 6(8): 01-11. (SCI, IF：1.449)
Xiaoqing Sun, Zhilei Wang, Yikun Yang. Design and experimental investigation of a novel compliant positioning stage with low-frequency vibration isolation capability [J]. Sensors and Actuators A: Physical, 2019, 295: 439-449. (SCI, IF：2.739)
Zhang Yawei, Li Beizhi,Yang Jianguo. Silicon Carbide surface quality predication based on artificial intelligence methods on multi-sensor fusion detection test platform [J]. Machining Science and technology, 2018, 23: 131-152. (SCI, IF：1.716)
Jingzhu Pang, ChongjunWu, Yiming Shen. Heat flux distribution and temperature prediction model for dry and wet cylindrical plunge grinding [J]. Proc IMechE Part B:J Engineering Manufacture, 2018, 233: 2047-2060. (SCI, IF：1.752)
Chongjun Wu, Weicheng Guo, Zhouping Wu, Qingxia Wang* and Beizhi Li. Ductility-oriented high speed grinding of Silicon Carbide and process design for quality and damage control with higher efficiency [J]. International Journal of Advanced Manufacturing Technology, 2019, 105: 2771-2784. (SCI, IF：2.496)
Wanjiao Dong, Beizhi Li*. Deformation Analysis of Hydrostatic Guideways Based on the Cantilever Plate Bending Calculation Method [J]. TRIBOLOGY TRANSACTIONS, 2019, 62. (SCI, IF：1.759)
Zhou Yu, Shi Yin, Wenjie Zhang, Xinquan Jiang, Jun Hu*. Picosecond laser texturing on titanium alloy for biomedical implants in cell proliferation and vascularization [J]. Journal of Biomedical Materials Research: Part B - Applied Biomaterials, 2019. 1-11. (SCI, IF：2.674)
Xia Ji, Elham Mirkoohi, Jiqiang Ning, Steven Y. Liang. Analytical modeling of post-printing grain size in metal additive manufacturing [J]. Optics and Lasers in Engineering, 2020, 124. (SCI, IF：4.059)
Yifei Wang, Zhou Yu, Kangmei Li, Jun Hu*. Effects of Surface Properties of Titanium Alloys Modified by Grinding [J]. Sandblasting and Acidizing and Nanosecond Laser on Cell Proliferation and Cytoskeleton. Applied Surface Science, 2019 (SCI, IF：5.155)
Jun Hu, Dezhi Zhu. Experimental study on the picosecond pulsed laser cutting of carbon fiber-reinforced plastics [J]. Journal of Reinforced Plastics and Composites, 2018, 37:993-1003. (SCI, IF：1.786)
Liu, Yao; Li, Beizhi; Kong, Lingfei. Molecular dynamics simulation of silicon carbide nanoscale material removal behavior [J]. Ceramics International, 2018, 44:11910-11913. (SCI, IF：3.45)
Li, Qing; Liang, Steven Y. Microstructure Images Restoration of Metallic Materials Based upon KSVD and Smoothing Penalty Sparse Representation Approach [J]. MATERIALS, 2018, 11:637. (SCI, IF：3.532)
Li Kangmei, Jing Dalei, Hu Jun*, et al. Numerical investigation of the tribological performance of micro-dimple textured surfaces [J]. BEILSTEIN JOURNAL OF NANOTECHNOLOGY, 2017, 8:2324-2338. (SCI, IF：3.03)
Wu, Chongjun, Li, Beizhi, Liu, Yao. Surface roughness modeling for grinding of Silicon Carbide ceramics considering co-existence [J]. International Journal of Mechanical Sciences, 2017, 133:167-177. (SCI, IF：4.134)