SHE Zhangchao, ZHANG Jimiao, HOU Xingye, LU Ran, YANG Yanhong. Design of lightweight frame of mining electric wheel dump-truck[J]. Journal of Mine Automation, 2024, 50(S2): 281-283,287.
Citation: SHE Zhangchao, ZHANG Jimiao, HOU Xingye, LU Ran, YANG Yanhong. Design of lightweight frame of mining electric wheel dump-truck[J]. Journal of Mine Automation, 2024, 50(S2): 281-283,287.

Design of lightweight frame of mining electric wheel dump-truck

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  • Received Date: October 08, 2024
  • [1]
    王忠鑫,辛凤阳,陈洪亮,等.我国露天矿智能运输技术现状及发展趋势[J].工矿自动化,2022,48(6):15-26.
    [2]
    马新民.矿山机械[M].徐州:中国矿业大学出版社,2005.
    [3]
    徐煦,包玮玮,王晗,等.大型电动轮矿用卡车电传动系统控制方案[J].工矿自动化,2021,47(4):30-38.
    [4]
    王军,马若丁,王继新,等.矿用自卸车车架强度有限元分析[J].工程机械,2008(11):29-32,88.
    [5]
    杨坤.矿井无轨胶轮车智能化管理系统研究[J].工矿自动化,2023,49(1):162-170.
    [6]
    吴畏,唐丽均,田国正.矿用机车调度管理系统设计[J].工矿自动化,2018,44(7):17-21.
    [7]
    关文达.汽车构造[M].北京:清华大学出版社,2007.
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