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    Chinese Journal of Mechanical Engineering

    Chinese Journal of Mechanical Engineering

    JournalISSN 1000-9345eISSN 2192-8258中科院 工程技术 3区

    年发文量

    研究主题

    论文(8599)

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    1Surface Enhancement by Micro-Arc Oxidation Induced TiO
    Xin Yang,Fan Song,Tianchi Zhang,Xinlan Yao, Wanlin Wang, Zhaoyang Zhang, Yiyang Hou,Huan Qi,Huiping Tang

    This study investigates the utilization of micro-arc oxidation (MAO) TiO 2 ceramic coating for the enhancement of surface quality of Ti-6Al-4V (TC4) samples manufactured through selective laser melting (SLM) and selective electron beam melting (SEBM). Prior to treatment with the MAO process in a Na 2 SiO 3 system solution at various voltages, the samples were pre-polished to eliminate adhesion powders. The study systematically compares and assesses the surface roughness and corrosion resistance of as-built TC4 samples with MAO TiO 2 ceramic coating. The outcomes indicate that the combination of pre-polishing and MAO surface treatment decreases the surface roughness of SEBM samples from 13.386 μm to 9.343 μm. By contrast, this two-step surface treatment leads to an increment in surface roughness for SLM samples due to their initial low values and the porous nature of surface coating with high roughness. Furthermore, the MAO treatment considerably enhances the corrosion resistance of the original samples. Specifically, the corrosion current density Icorr of SLM samples decreases from 10.37 × 10 −7 A/cm 2 to 6.89 × 10 −7 A/cm 2 (420 V), and that of SEBM samples reduces from 8.013 × 10 −6 A/cm 2 to 1.672 × 10 −6 A/cm 2 (400 V). Therefore, MAO is an extremely effective surface treatment method that can considerably enhance the surface properties of TC4 produced through additive manufacturing.

    2026
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    2Nonlinear Model Predictive Control Via Behavioral Cloning: Framework, Design and Simulation Assessment
    Hao Sun,Carmine Caponio, Marino Massimo Costantini,Mario Mihalkov,Davide Tavernini,Patrick Gruber,Alessandro Vigliani,Aldo Sorniotti, Guodong Yin,Umberto Montanaro
    2026
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    3Reinforcement-learning-enabled Embodied Intelligence for Dynamics Control of Aerial Vehicle
    Shuo Cheng, Kaiyi Wang,Peng Dong,Baichuan Lou, Chengcheng Qian,Xiangyang Xu,Chen Lv
    2026
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    4A Fusion Method for LLM-Based Generation of Aerospace Equipment Digital Testing Scene
    Pengfei Gao,Xiaofu Zou, Yang Mi,Fei Tao
    2026
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    5Fatigue Life Prediction of Locomotive Fuel Tank Considering Dynamic Fluid-Loss Characteristics of Oil
    Wenyang Shao,Long Yang,Guangwu Yang,Tao Zhu,Bing Yang, Zhe Zhang,Yuqing Yuan
    2026
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    高被引作者

    作者引用发文
    Huayong Yang115862
    Xilun Ding78426
    Y B Zhang67512
    Weigang Zhang6735
    Feng Gao66034
    Changhe Li6587
    Datong Qin65834
    Xingtao Liao6222
    Qian Bai6143
    Bi Zhang6118

    高产作者

    作者引用发文
    Huayong Yang115862
    Tian Huang56136
    Shanghai Jiaotong University21236
    Datong Qin65834
    Feng Gao66034
    Jianrong Tan23834
    Bingheng Lu17629
    Xilun Ding78426
    Guodong Yin31426
    Zhongqin Lin33125

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