[1] |
LIU Kuo, JIANG Yeming, HUANG Renjie, LI Mingyu, CHEN Hu, WANG Yongqing.
Research on High-efficiency Adaptive Machining Technology of Machine Tools Considering Online Chatter Suppression
[J]. Journal of Mechanical Engineering, 2024, 60(6): 104-113.
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[2] |
LIU Song, LI Junhui, LIU Yunfei, JI Jiang, XIE Weiwei, DOU Feng, LIU Jianglin, LIU Yu.
Research on Rolling Process and Technical Equipment of Special Alloy Strip with Ultra-thin Thickness
[J]. Journal of Mechanical Engineering, 2024, 60(4): 357-368.
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[3] |
LI Chao, ZHANG Jun, TIAN Hui, ZHAO Wanhua.
Timely Chatter Detecting Method in Milling with Integrated Energy Ratio and Amplitude Standard Deviation of Vibration Signal
[J]. Journal of Mechanical Engineering, 2024, 60(14): 11-23.
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[4] |
TAN Zhipu, QIN Guohua, LOU Weida, WU Zhuxi.
High Precision Judgement Method for Milling Stability Based on Bernoulli Distribution and Hybrid Drive Model
[J]. Journal of Mechanical Engineering, 2024, 60(11): 318-331.
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[5] |
SUN Zhaoyang, PENG Fangyu, TANG Xiaowei, YAN Rong, XIN Shihao, WU Jiawei.
Robotic Milling Chatter Types Detection Based on Adaptive VariationalMode Decomposition and Difference of Power Spectral Entropy
[J]. Journal of Mechanical Engineering, 2023, 59(9): 90-100.
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[6] |
WANG Xiaoyong, GAO Zhiying, XIN Yanli.
Identification and Forecast of Cold Rolling Chatter Based on Recurrence Quantification Analysis
[J]. Journal of Mechanical Engineering, 2023, 59(9): 137-145.
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[7] |
ZHU Zijun, ZHU Xianglong, DONG Zhigang, KANG Renke, BAO Yan.
A Review of Research on Chatter Stability of Grinding Processes
[J]. Journal of Mechanical Engineering, 2023, 59(21): 15-33.
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[8] |
LOU Weida, QIN Guohua, WANG Huamin, WU Zhuxi.
Multi-objective Optimization Method of Stable Milling Process Parameters Based on BP Neural Network and Composite Cotes Integration
[J]. Journal of Mechanical Engineering, 2023, 59(17): 279-290.
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[9] |
LIU Jianing, CAO Hongrui, YAN Penghui, JI Wenchen.
Deep Transfer Learning Method and Its Application in Grinding Chatter Marks Identification under Variable Working Conditions
[J]. Journal of Mechanical Engineering, 2023, 59(16): 128-136.
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[10] |
LIU Chunjing, TANG Dunbing, CHEN Xingqiang, WEI Tianlu.
Research on Stability of Milling System Based on Updated Complete Discretization Method
[J]. Journal of Mechanical Engineering, 2023, 59(15): 162-173.
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[11] |
ZHANG Lei, ZHENG Kan, SUN Lianjun, SUN Hongwei, XUE Feng, WANG Tao.
Investigation on Chatter Monitoring of Composite Milling Edge Based on the Selection of Sensitive Frequency Band of Wavelet Packet
[J]. Journal of Mechanical Engineering, 2022, 58(3): 140-148.
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[12] |
YE Songtao, YAN Sijie, LI Wentao, XU Xiaohu, LU Jialin.
Analysis of Tool Tip Dynamic Characteristics and Stability Prediction for Robotic Milling Tasks
[J]. Journal of Mechanical Engineering, 2022, 58(17): 261-275.
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[13] |
WANG Zhixue, LIU Xianli, LI Maoyue, WANG Lihui, Steven Y. LIANG, YU Fuhang.
Multi-point Contact Stability Prediction Considering Force-induced Deformation Effect in Milling Thin-Walled Parts
[J]. Journal of Mechanical Engineering, 2022, 58(17): 309-320.
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[14] |
CHEN Yun, HOU Liang, LIU Wenzhi, BU Xiangjian.
Chatter Stability Prediction in Low Immersion Milling Based on Time-domain Simulation
[J]. Journal of Mechanical Engineering, 2021, 57(3): 98-106.
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[15] |
LIU Tao, DENG Zhaohui, LUO Chengyao, Lü Lishu, LI Zhongyang, WAN Linlin.
Stability Modeling and Analysis of Non-circular High-speed Grinding with Consideration of Dynamic Grinding Depth
[J]. Journal of Mechanical Engineering, 2021, 57(15): 264-274.
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