Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
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Review of research on thermal error modelling and compensation and on-machine measurement technology of CNC machine tools
ZHANG Yun, YUAN Zhaowei, WANG Liping, LI Xuekun, WANG Dong
2026(8): 5-22. DOI: 10.19287/j.mtmt.1005-2402.2026.08.001
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Geometric error identification of rotary axes based on machine tool end-effector pose data
CHEN Xiaopeng, BI Qingzhen
2026(8): 23-29. DOI: 10.19287/j.mtmt.1005-2402.2026.08.002
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Geometric error identification of rotary axes based on on-machine measurement
YAO Sihan, LU Chengbin, WENG Lingtao, MOU Yongkai, CHENG Jian, GAO Weiguo
2026(8): 30-36. DOI: 10.19287/j.mtmt.1005-2402.2026.08.003
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Geometric error measurement, identification and real-time compensation of AC swing head five-axis gantry machining center
DU Zhengchun, ZHOU Yuqi, BI Qingzhen, XIAO Yukun, GE Guangyan
2026(8): 37-45. DOI: 10.19287/j.mtmt.1005-2402.2026.08.004
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Thermal error testing and compensation for fully closed-loop feed axes of large gantry machine tools
ZHANG Zewei, LIU Hongqiang, SONG Lei, GAO Pengxiang, LI Te, LIU Kuo
2026(8): 46-56. DOI: 10.19287/j.mtmt.1005-2402.2026.08.005
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Modeling method and application of thermal error robustness of CNC machine tools based on FCM clustering algorithm
WANG Haitao, JU Yi, AN Peishun, TANG Jinyuan, SHI Hu
2026(8): 57-64. DOI: 10.19287/j.mtmt.1005-2402.2026.08.006
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Research on the thermal error prediction and compensation of machine tool spindle based on intelligent algorithm optimizing deep neural network
ZHANG Yun, YUAN Zhaowei, WANG Liping, WANG Dong
2026(8): 65-75. DOI: 10.19287/j.mtmt.1005-2402.2026.08.007
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High-speed motion dynamic error detection device for five-axis CNC machine tools based on RTCP
WANG Jiaying, WANG Wei, DENG Shihui, YANG Huihao, DING Jiexiong
2026(8): 76-82. DOI: 10.19287/j.mtmt.1005-2402.2026.08.008
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Error compensation methods and applications based on a domestically developed secure and self-controlled CNC system
LI Hongji, TANG Jianrui, ZHANG Mingjun
2026(8): 83-90. DOI: 10.19287/j.mtmt.1005-2402.2026.08.009
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Analysis of transmission performance of modified tooth profile internal translational cycloidal pinwheel reducer
WU Yanbin, ZHAO Ziqiang
2026(8): 91-98. DOI: 10.19287/j.mtmt.1005-2402.2026.08.010
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Research on robot impedance control based on structurally improved PINN
DANG Xuanju, ZHOU Yiduo
2026(8): 99-107. DOI: 10.19287/j.mtmt.1005-2402.2026.08.011
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Research on optimising conformal printing paths for aerosol surfaces using six-axis robotic arms
XU Ying, ZHANG Yuanming, WANG Danling, DU Mingchen
2026(8): 108-115. DOI: 10.19287/j.mtmt.1005-2402.2026.08.012
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Global planning method of tool orientation for five-axis machining based on improved deep reinforcement learning
HU Qirui, DING Zhihong, LI Xiang, LIN Zhiwei, FU Jianzhong
2026(8): 116-125. DOI: 10.19287/j.mtmt.1005-2402.2026.08.013
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Study on optimization of milling parameters for high-strength steel machining with unequal-pitch milling cutter
LIU Changbao, JIANG Zenghui, ZHANG Ying, ZHAO Yuhan
2026(8): 126-131. DOI: 10.19287/j.mtmt.1005-2402.2026.08.014
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Effects of Al foil interlayer on the microstructure and properties of resistance spot welded dissimilar Mg/Ti alloys
LI Na, HOU Qinglei, CHEN Xiaming, WANG Qiang, YANG Jianchun
2026(8): 132-137. DOI: 10.19287/j.mtmt.1005-2402.2026.08.015
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Research on rolling bearing fault diagnosis based on CNN-BiLSTM-Attention optimized by GWO
HE Fa, LI Yanchao, HAN Zhi, LIU Feifei, LI Hongliang
2026(8): 138-147. DOI: 10.19287/j.mtmt.1005-2402.2026.08.016
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Experimental study on arc deep rolling strengthening of ultra-high strength steel torsion bar springs
CHEN Zhibo, LIANG Zhiqiang, LI Xuezhi, YUAN Xiangyu, LI Zekun
2026(8): 148-155. DOI: 10.19287/j.mtmt.1005-2402.2026.08.017
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Experimental study on negative pressure assisted electrical discharge machining of deep small holes
WEI Zhouyang, HUANG Zhijian, ZHOU Baijian, LI Yunlong, LIU Jiangwen, ZOU Zhixiang
2026(8): 156-162. DOI: 10.19287/j.mtmt.1005-2402.2026.08.018
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Research on the principles of electric field-driven 3D printing for carbon fiber reinforced resin-based composites
SHI Xiangnan, YANG Jianjun, HOU Zhanghao, WANG Yaxiao
2026(8): 163-168. DOI: 10.19287/j.mtmt.1005-2402.2026.08.019
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Study of the microstructure of laser-assisted burnishing GH4169
HUA Yang, CAO Cancan, DUAN Hui, JIANG Hongkui, ZHU Xiaofeng
2026(8): 169-177. DOI: 10.19287/j.mtmt.1005-2402.2026.08.020
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Overcut prediction method for mirror milling of 1 mm-thickness ultra-thin tank dome
CUI Xin, LIU Qiang, LI Junwen, ZHAO Yi, WANG Yi
2026(8): 178-184. DOI: 10.19287/j.mtmt.1005-2402.2026.08.021
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Identification modeling and quantitative evaluation of minimum step size for CNC machine tools based on dynamic signal weighted features
HE Xuefeng, DAI Yuhong, WANG Shuai, JIANG Hua, SAREN Qimuge, ZHANG Yabin
2026(8): 185-191. DOI: 10.19287/j.mtmt.1005-2402.2026.08.022
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Mold processing quality prediction based on TCN-DANN adaptive transfer
JIANG Yifeng, HU Sheng, DONG Bochao, SONG Lijing, YANG Ting, FAN Pengyao
2026(8): 192-200. DOI: 10.19287/j.mtmt.1005-2402.2026.08.023
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Construction and verification of precision indicator system for CNC machine tools based on AHP-information entropy
YOU Xuanhui, LU Zhenwei, WU Haiwen, GUO Xianghui, SHEN Li, ZHOU Wenxing
2026(8): 201-208. DOI: 10.19287/j.mtmt.1005-2402.2026.08.024
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Performance prediction of SMT production lines based on digital twin technology
JIANG Huanzhe, PEI Fengque, YUAN Minghai, YANG Ye
2026(8): 209-219. DOI: 10.19287/j.mtmt.1005-2402.2026.08.025
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Research on dynamic learning rate model integrating EEG signals and the MOD method
ZHAO Yixuan, CHENG Yonglei, BAI Yuxuan, ZHAO Minjie, SUN Li
2026(8): 220-229. DOI: 10.19287/j.mtmt.1005-2402.2026.08.026
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