[1] |
WEN Qiuling, YANG Ye, HUANG Hui, HUANG Guoqin, HU Zhongwei, CHEN Jinhong, WANG Hui, WU Xian.
Review of Research Progress in Laser-based Hybrid Machining of Hard and Brittle Materials
[J]. Journal of Mechanical Engineering, 2024, 60(9): 168-188.
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[2] |
DU Yuchao, LIANG Zhiqiang, WANG Fei, LI Juan, LIU Yuehong, ZHAO Xu, SU Zhipeng, MA Yue, CHEN Rui, WANG Xibin.
Research on Cutting Force Modeling and Cutting Performance of PCD Micro Milling-grinding Combined Machining Tool
[J]. Journal of Mechanical Engineering, 2024, 60(19): 298-309.
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[3] |
LAI Xuwei, DING Kun, ZHANG Kai, HUANG Fengfei, ZHENG Qing, LI Zhixuan, DING Guofu.
Improved Interpretable-based Physically Guided Spatial Attention for Cross-process Parameters End Milling Cutter Wear Identification
[J]. Journal of Mechanical Engineering, 2024, 60(12): 147-157.
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[4] |
DU Jianbiao, ZHANG Qiang, ZONG Wenjun.
Summary of Single Point Diamond Turning Technology for Hard, Brittle and ferrous Metal Materials
[J]. Journal of Mechanical Engineering, 2023, 59(7): 156-175.
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[5] |
HUANG Jingshan, LIU Guoliang, SUN Hao, YAO Bin, JIN Lin, CHEN Binqiang, CAO Xincheng, WANG Shancheng, XU Hao, CAI Zhiqin.
Effect of C60 Nanoparticle Cutting Fluid on Cutting Characteristics of 15Cr14Co12Mo5Ni2WA Gear Steel
[J]. Journal of Mechanical Engineering, 2023, 59(23): 358-371.
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[6] |
LIU Hongcheng, YUAN Dezhi, ZHU Kunpeng.
Tool Wear Prediction Based on Gaussian Process Latent Force Model
[J]. Journal of Mechanical Engineering, 2023, 59(17): 310-324.
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[7] |
DUAN Jian, ZHOU Hongdi, LIU Zhiyong, ZHAN Xiaobin, LIANG Jianqiang, SHI Tielin.
Milling Tool Wear Prediction Research Based on Optimized PCANet Model
[J]. Journal of Mechanical Engineering, 2023, 59(1): 278-285.
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[8] |
TENG Hongzhao, DENG Zhaohui, Lü Lishu, GU Qianwei, LIU Tao, ZHUO Rongjin.
Research of Process Condition Monitoring Based on Multi-sensor Information Fusion
[J]. Journal of Mechanical Engineering, 2022, 58(6): 26-41.
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[9] |
ZHANG Zhenyu, WU Jun, SONG Kefeng, GUO Zhaozhi, CHENG Jun.
Study on Grinding Force and Machined Surface Quality in Ultra-fine Micro Grinding of Titanium Alloy
[J]. Journal of Mechanical Engineering, 2022, 58(15): 75-91.
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[10] |
ZHU Kunpeng, LI Gang.
Theoretical Modeling and Experimental Study of Micro Milling Force Based on Tool Wear Mapping
[J]. Journal of Mechanical Engineering, 2021, 57(19): 246-259.
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[11] |
LI Congbo, YU Bisheng, XIAO Qinge, SUN Xin, Lü Yan.
A Cutting Parameter Energy-saving Optimization Method for CNC Turning Batch Processing Considering Tool Wear
[J]. Journal of Mechanical Engineering, 2021, 57(1): 217-229.
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[12] |
AN Hua, WANG Zhe, WANG Guofeng, SONG Qingyue, LIU Feng, ZHONG Caichuan.
Research on On-line Monitoring of Surface Roughness in Composite Drilling and Adaptive Optimization of Parameters
[J]. Journal of Mechanical Engineering, 2020, 56(2): 27-34,42.
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[13] |
LI Ya, HUANG Yixiang, ZHAO Lujie, LIU Chengliang.
Multi-condition Wear Evaluation of Tool Based on T-SNE and XGBoost
[J]. Journal of Mechanical Engineering, 2020, 56(1): 132-140.
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[14] |
ZHANG Xuewei, YU Tianbiao, WANG Wanshan.
Study on Instantaneous Tool Deflections Considering Tool Run-out in Micro Milling Process
[J]. Journal of Mechanical Engineering, 2019, 55(5): 241-248.
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[15] |
LIU Jiajia, JIANG Xinggang, ZHANG Deyuan.
Research on the Characteristics of Chips and Tool Flank Wear in High-speed Rotary Ultrasonic Elliptical Machining for Side Milling of Ti-6Al-4V
[J]. Journal of Mechanical Engineering, 2019, 55(19): 186-194.
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