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王荣吉教授
发布时间:2012-03-28 05:00 访问次数:0

个人简历:

姓 名:王荣吉

性 别:男
出生年月:1971.11
   称:教授

导师级别:硕士导师

最高学位:博士

通讯地址:湖南省长沙市韶山南路498
电子邮箱:wangrj6623@126.com

学术方向:主要研究领域包括:快速成形(3D打印)、高分子材料成形、金属材料强韧化、模具CAD/CAM、材料成形工艺CAE

教学情况:

主讲

本科:机械工程材料、金属工艺学、塑料成型工艺与模具设计

研究生:特种加工技术、高等农业机械化管理学

科研项目:

湖南省教育厅科学研究重点项目,14A157,TWIP钢层错能的第一性原理以及孪生强韧化机理研究,2015/01-2017/12,正常进行,主持。

王荣吉,“凸轮从动件运动分析平台”在全国大学生机械创新设计大赛中获二等奖,国家二等奖,2014

湖南省普通高校青年骨干教师培养对象,湖南省教育厅, 2009

专著与论文:

[1] qinchun liRongji wang (通讯作者)Modeling the Effect of Injection Molding Process Parameters on Warpage Using Neural Network TheoryJournal of Macromolecular Science Part B-Physics2015549):1066-1080。(SCI

[2] 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.SCI

[3] 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). 2013,5210:1414–1426,SCI

[4] L.Q. Zhang, R.J. Wang(通讯作者). An intelligent system for low-pressure die-cast process parameters optimization. International Journal of Advanced Manufacturing Technology, 2013, 65:517–524. (SCIEI)

[5] 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):124-140SCI

[6] L.Q. Zhang, R.J. Wang(通讯作者). Estimation of heat flux at metal-mold interface during solidification of cylindrical casting. International Journal of Material Forming, 2013, 6:453–458. .SCIEI

[7] Rong Ji Wang, Junliang Zeng, Dian-wu ZHOU. Determination of temperature difference in squeeze casting hot work tool steel. International Journal of Material Forming. 2012,5:317–324. SCIEI

[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. SCIEI

[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。(Ei

[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 SCIEI

 
友情链接
中南林业科技大学
机械工程虚拟仿真实验教学中心
新华网
人民网
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红网
湖南教育网
湖南省长沙市韶山南路498号 邮编:410004 电话:0731-85623381 湘ICP备09017705号 湘教QS4_201212_010022 丨 信息中心技术支持