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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：女
毕业院校：大连理工大学
学位：博士
所在单位：机械工程学院
学科：机械电子工程. 精密仪器及机械
办公地点：机械知方楼7029
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- [1]卢晓红.Zhang, Yu,Liang, Steven Y..李享纯,滕乐,栾贻函,张昊天.Simulation of temperature field and optimization of welding parameters in friction stir welding thick large circular storage tank[J],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2024
- [2]卢晓红.Sun, Shixuan,Liang, Steven Y..杨帮华,孟祥悦,栾贻函.Temperature prediction of FSW medium thickness 2219 aluminium alloy based on intelligent algorithm[J],International Journal of Manufacturing Research,2024,19(1):98-118
- [3]卢晓红.Luo, Jiaqing,Liang, Steven Y..田宇航,栾贻函.Multi-objective optimization of machining parameters in micro-milling LF 21 based on the AHP-entropy weight method[J],International Journal of Advanced Manufacturing Technology,2024
- [4]卢晓红.Xv, Kai,Zhang, Yu,Liang, Steven Y..曾繁茂.Prediction of tool wear during micro-milling Inconel 718 based on long short-term memory network[J],PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY,2024,86:195-202
- [5]卢晓红.曾繁茂,栾贻函,孟祥悦.Intelligent Prediction of FSW Physical Quantity and Joint Mechanical Properties A method for achieving high-precision prediction of weld tensile strength of aluminum alloy 2219-18 thick plate is proposed[J],WELDING JOURNAL,2024,103(1):12S-24S
- [6]卢晓红.Sun, Shixuan,Liang, Steven Y..隋国川,张炜松.Prediction of extreme temperatures in weld zone of friction stir welding[J],International Journal of Advanced Manufacturing Technology,2024
- [7]卢晓红.洛家庆,徐凯.丛晨.铝合金LF21微铣削顶端毛刺尺寸预测与工艺优化[J],吉林大学学报(工学版),2024
- [8]卢晓红.Liang, Steven Y..栾贻函,乔金辉,杨帮华,张炜松.Optimization of process parameters in friction stir welding of 2219 aluminum alloy thick plate[J],International Journal of Advanced Manufacturing Technology,2024,129(9-10):4201-4215
- [9]卢晓红.Liang, Steven Y..孙卓,栾贻函,滕乐.Temperature monitoring system of friction stir welding based on digital twin[J],International Journal of Computer Integrated Manufacturing,2024
- [10]卢晓红.Ma, Chong,Sun, Shixuan,Xu, Kai.杨帮华.Prediction of the tensile strength of friction stir welded joints based on one-dimensional convolutional neural network[J],Journal of Intelligent and Fuzzy Systems,2024,45(2):2279-2288