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王荣吉教授

发布人: 发布日期:2012-03-28

基本信息 

职称:教授 

出生年月:1971年11月

邮箱:wangrj6623@126.com 

地址:湖南省长沙市韶山南路498yd2333云顶电子游戏机械与智能制造学院 

  

任职情况: 

12014-10  , yd2333云顶电子游戏, 机械与智能制造学院, 教授 

22008-10  2014-09, yd2333云顶电子游戏, 云顶集团yd1233, 副教授 

32006-06  2008-09, yd2333云顶电子游戏, 云顶集团yd1233, 讲师 

42000-06  2001-08, 长沙矿冶研究院,工程师 

  

教学情况 

1. 课程

本科生课程:机械工程材料、金属工艺学、塑料成型工艺与模具设计、模具制造工艺学 

研究生课程:增材制造技术 

2. 教学质量工程项目 

辛几何模态分解方法在齿轮箱故障诊断中的应用研究,程正阳,王荣吉。2023年湖南省优秀硕士学位论文。 

基于CAE技术的注塑成型工艺参数的优化研究,曾军亮,王荣吉。2015年湖南省优秀硕士学位论文。 

凸轮从动件运动分析平台,王荣吉,李庆春。第六届全国董事长机械创新设计国家二等奖。 

3. 奖励 

2009年湖南省青年骨干教师 

  

主要研究方向: 

金属材料强韧化、模具智能设计与制造、3D打印 

  

学术成果 

1 ZhengYang Cheng, RongJi Wang. Deep stacking l1-norm center configuration convex hull and its application in fault diagnosis of rolling bearing, Mechanism and Machine Theory. 2020,1431-14 

2 Zhengyang Cheng, Rongji Wang. Enhanced symplectic characteristics mode decomposition method and its application in fault diagnosis of rolling bearing. Measurement.2020, 1661-16 

3 ZhengYang Cheng, RongJi Wang, Nearest neighbor convex hull tensor classification for gear intelligent fault diagnosis based on Multi-Sensor signals, IEEE access, 2019,9:140781- 140793. 

4 QINGCHUN LI, LIJUN LI, XIAOJIE SI, AND RONGJI WANGModeling the Effect of Injection Molding Process Parameters on Warpage Using Neural Network TheoryJournal of macromolecular science part B-physics2015549:1066-1080 

5 Rongji wang, Junliang zeng, Xiaoxin feng, Yuejun xia. Evaluation of effect of plastic injection molding process parameters on shrinkage based on neural network simulation. Journal of Macromolecular Science, part B:physics(0022-2348). 2013, 52(1): 206-221.  

6 RONGJI WANG, XIAOXIN FENG, YUEJUN XIA AND JUNLIANG ZENG. A back propagation artificial neural network prediction model of the gate freeze time for injection molded polypropylenes. Journal of Macromolecular Science, part B:physics(0022-2348). 20135210:1414–1426,  

7 Rong Ji Wang, Wen Fang Tan, Dian-Wu Zhou. Effects of squeeze casting parameters on solidification time based on neural network. International Journal of Materials and Product Technology, 2013, 46 (2/3):124-140 

8 Wang Rong-Ji. Li Xin-hua. Wu Qing-ding. Wang Lingling. Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm. International Journal of Advanced Manufacturing Technology. 2009 42:1035–1042 

9 Rong-Ji Wang, Jianbing Li, Fenghua Wang,Xinhua Li and Qingding Wu. ANN model for the prediction of density in Selective Laser SinteringInternational Journal of Manufacturing Research200943):362-373 

10 Rong-Ji Wang. Lingling Wang .Lihua Zhao. Zijian Liu. Influence of Process Parameters on Part Shrinkage in SLS. International Journal of Advanced Manufacturing Technology. 2007 33:498-504