学术论文 |
[1] 刘超*; 丁浩; 郑娟娟; 黄绍服; 罗祖青; 沈刚. 丝杠旋风铣削过程的预测建模与自适应动态优化方法研究[J]. 浙江大学学报(工学版), 2025.(EI) [2] Liu, Chao*; Luo, Zuqing; Zheng, Juanjuan; He, Yan; Huang, Shaofu; Ding, Hao; Shen, Gang. Numerical analysis of the formation mechanism of high back penetration depth of thin plate aluminum alloy in MIG welding[J]. Applied Thermal Engineering, 2025, 262:125264.(中科院SCI二区Top,IF:6.1) [3] Liu, Chao; Zheng, Juanjuan*; Liu, Sanyang; Huang, Shaofu; He, Yan; Tuo, Junbo. Multi-feature parallel prediction for the enhanced sparse data in laser processing based on an improved reinforced machine learning method[J]. Advanced Engineering Informatics, 2024, 62: 102762.(中科院SCI一区Top,IF:8.0) [4] Liu, Chao*; Luo, Zuqing; He, Yan; Huang, Shaofu; Tuo, Junbo; Ding, Hao. Numerical simulation of welding residual stresses in 6082-T6 thin aluminum alloy[J]. Measurement, 2024, 234:114800.(中科院SCI二区Top,IF:5.2) [5] 刘超*; 黄尊鹏; 黄绍服. 考虑工件材料形变的旋风铣削螺纹工件表面粗糙度建模[J]. 浙江大学学报(工学版), 2024, 58(4): 761-771.(EI) [6] Liu, Chao*; Yang, Zidong; Huang, Shaofu*; He, Yan; Huang, Zunpeng; Tuo, Junbo. A hybrid modeling method for predicting the cutting force in whirlwind milling of lead screw[J]. Journal of Manufacturing Processes, 2023, 106: 265-287.(中科院SCI一区Top,IF:6.1) [7] Zheng, Juanjuan; Liu, Chao*; Huang, Shaofu; He, Yan. A novel adaptive dynamic GA combined with AM to optimize ANN for multi-output prediction: Small samples enhanced in industrial processing[J]. Information Sciences, 2023, 644: 119285.(中科院SCI一区Top,IF:6) [8] Liu, Chao*; Huang, Zunpeng; Huang, Shaofu; He, Yan; Yang, Zidong; Tuo, Junbo. Surface roughness prediction in ball screw whirlwind milling considering elastic-plastic deformation caused by cutting force: Modelling and verification[J]. Measurement, 2023, 220: 113365.(中科院SCI二区Top,IF:5.2) [9] Liu, Chao*; Huang, Shaofu; He, Yan; Huang, Zunpeng; Yang, Zidong. Modeling of cutting temperature in screw whirling milling during the two cutting stages[C]. MM Science Journal, CIRP-17th International Conference on High Speed Machining, Nanjing, China. 2023, October 25-28.(国际会议) [10] Liu, Chao; He, Yan*; Li, Yufeng; Wang, Yulin; Wang, Shilong; Wang, Yan. Modeling of residual stresses by correlating surface topography in machining of AISI 52100 steel[J]. Journal of Manufacturing Science and Engineering-Transactions of the ASME, 2022, 144(5): 051008.(中科院SCI三区,IF:2.4) [11] Liu, Chao; He, Yan*; Wang, Yulin; Li, Yufeng; Wang, Shilong; Wang, Lexiang; Wang, Yan. Effects of process parameters on cutting temperature in dry machining of ball screw[J]. ISA Transactions, 2020, 101: 493-502.(中科院SCI二区Top,IF:6.3) [12] Liu, Chao; He, Yan*; Li, Yufeng; Wang, Yulin; Wang, Lexiang; Wang, Shilong; Wang, Yan. Predicting residual properties of ball screw raceway in whirling milling based on machine learning[J]. Measurement, 2020, 173:108605.(中科院SCI二区Top,IF:5.2) [13] Liu, Chao; He, Yan*; Wang, Yulin; Li, Yufeng; Wang, Shilong; Wang, Lexiang; Wang, Yan. An investigation of surface topography and workpiece temperature in whirling milling machining[J]. International Journal of Mechanical Sciences, 2019, 164: 105182. (中科院SCI一区Top,IF:7.1) |
发明专利 |
[1] Liu, Chao; Ding, Hao; Huang, Shaofu; Huang, Zunpeng; Li, Jun. A prediction method for surface morphology of threaded workpiece in whirlwind milling. 2024-3-14, 俄罗斯(PCT途径),申请号: 2023105896. [2] Liu, Chao; Luo, Zuqing; Huang, Shaofu; Li, Jun. A prediction method for surface roughness of workpiece by considering the influence of cutting force. 2024-1-30, 俄罗斯(PCT途径),申请号: 2023117797. [3] Liu, Chao; Zheng, Juanjuan; She, Haizhou; Wei, Youfeng. A multi output regression prediction method for small samples in laser processing process. 2024-4-22, 俄罗斯(PCT途径),申请号: 2024114954. [4] 刘超; 黄尊鹏; 黄绍服; 郑娟娟; 李君. 一种旋风铣削中螺纹工件表面形貌的预测方法. 2024-10-22, 中国, ZL 202210071975.8. [5] 刘超; 黄尊鹏; 郑娟娟; 黄绍服; 李君. 考虑切削力影响的旋风铣削螺纹工件表面粗糙度预测方法. 2024-3-29, 中国, ZL 202310134102.1. [6] 刘超; 何彦; 王乐祥; 李育锋; 郝传鹏; 吴鹏程. 一种用于丝杠旋风铣削加工区域的温度预测方法. 2020-3-13, 中国, ZL 201711366436.2. [7] 刘超; 郑娟娟; 魏有峰; 佘海舟. 一种面向激光加工过程中小样本的多输出回归预测方法. 2024-01-31, 中国, CN 202410133041.1. [8] 刘超; 魏有峰; 黄绍服; 杨子东. 一种丝杠旋风铣削过程中切削力的预测方法及系统. 2024-01-19, 中国, CN 202410080430.2. |