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本安型电磁阀动静态特性分析及影响参数优化研究

姚卓 王伟 韦文术 卢德来 李向波

姚卓,王伟,韦文术,等. 本安型电磁阀动静态特性分析及影响参数优化研究[J]. 工矿自动化,2024,50(6):150-158.  doi: 10.13272/j.issn.1671-251x.2024020048
引用本文: 姚卓,王伟,韦文术,等. 本安型电磁阀动静态特性分析及影响参数优化研究[J]. 工矿自动化,2024,50(6):150-158.  doi: 10.13272/j.issn.1671-251x.2024020048
YAO Zhuo, WANG Wei, WEI Wenshu, et al. Analysis of dynamic and static features of intrinsically safe electromagnetic valves and optimization of influencing parameters[J]. Journal of Mine Automation,2024,50(6):150-158.  doi: 10.13272/j.issn.1671-251x.2024020048
Citation: YAO Zhuo, WANG Wei, WEI Wenshu, et al. Analysis of dynamic and static features of intrinsically safe electromagnetic valves and optimization of influencing parameters[J]. Journal of Mine Automation,2024,50(6):150-158.  doi: 10.13272/j.issn.1671-251x.2024020048

本安型电磁阀动静态特性分析及影响参数优化研究

doi: 10.13272/j.issn.1671-251x.2024020048
基金项目: 国家重点研发计划项目(2023YFC2907504);山东省重大科技创新工程资助项目(2020CXGC011501);天地科技股份有限公司科技创新创业资金专项项目(2023-2-TD-ZD012)。
详细信息
    作者简介:

    姚卓(1997—),男,辽宁铁岭人,研究实习员,硕士,研究方向为矿用电磁阀开发,E-mail:yaozhuo@tdmarco.com

  • 中图分类号: TD421

Analysis of dynamic and static features of intrinsically safe electromagnetic valves and optimization of influencing parameters

  • 摘要: 针对在驱动功率和电磁阀体积约束下存在的电磁铁驱动力不足、电磁阀响应速度慢的问题,分析了电磁阀的动静态特性,通过仿真分析和样机试验验证了提高本安型电磁铁电磁力可明显改善电磁阀的响应特性,确定了通过优化电磁力改善电磁阀响应特性的方案。提出了本安型电磁铁特性评价指标:有效行程指标、平均电磁力指标和静态综合性能指标,解决了因电磁铁行程不同而造成的电磁铁性能评价困难的问题。利用Maxwell电磁仿真软件分析了导向筒深度变化量δa、衔铁半径变化量δb、非工作气隙变化量δc1、非工作气隙变化量δc2、盆口高度变化量δd对电磁铁静态特性的影响,得到不同参数对静态特性的敏感度,为参数优化中尺寸控制范围的选择提供参考依据。通过正交试验结果构建了铁芯结构参数对电磁铁综合特性评价指标的二阶响应面模型,利用遗传算法对铁芯参数进行优化。样机试验结果表明:优化后电磁铁水平段电磁力提升了50%,有效行程提高了26%,本安型电磁阀的开启响应时间缩短了52.5%。

     

  • 图  1  本安型电磁铁结构及磁路

    Figure  1.  Structure and magnetic circuit of intrinsically safety mining electromagnets

    图  2  仿真模型结构

    Figure  2.  Structure of simulation model

    图  3  电磁铁静态电磁力

    Figure  3.  Static electromagnetic force of electromagnet

    图  4  电磁阀试验台

    Figure  4.  Electromagnetic valve test bench

    图  5  10.5 V激励下电磁阀的压力响应特性

    Figure  5.  Pressure response characteristics of solenoid valve under 10.5 V excitation

    图  6  12.5 V激励下电磁阀的压力响应特性

    Figure  6.  Pressure response characteristics of solenoid valve under 12.5 V excitation

    图  7  导向筒深度a对静态特性的影响

    Figure  7.  Influence of guide tube depth on static characteristics

    图  8  衔铁半径b对静态特性的影响

    Figure  8.  Influence of armature radius on static characteristics

    图  9  非工作气隙c1对静态特性的影响

    Figure  9.  Influence of non-working air gap c1 on static characteristics

    图  10  非工作气隙c2对静态特性的影响

    Figure  10.  Influence of non-working air gap c2 on static characteristics

    图  11  盆口高度d对静态特性的影响

    Figure  11.  Influence of height d of basin structure on static characteristics

    图  12  盆口高度和工作气隙对磁感应强度的影响

    Figure  12.  Influence of the height of the basin structure and the working air gap on the magnetic induction intensity

    图  13  电磁铁静态综合性能及对各参数的敏感度

    Figure  13.  Static comprehensive performance of electromagnet and sensitivity to various parameters

    图  14  参数优化前后仿真电磁力对比

    Figure  14.  Comparison of simulated electromagnetic force before and after parameter optimization

    图  15  参数优化前后样机电磁力对比

    Figure  15.  Comparison of electromagnetic force of prototype before and after parameter optimization

    图  16  10.5 V激励下优化后电磁阀的压力响应特性

    Figure  16.  Pressure response characteristics of the optimized solenoid valve under 10.5 V excitation

    表  1  仿真材料设置

    Table  1.   Material settings for simulation

    零件名称 材料
    壳体 Steel_1010
    衔铁 Steel_1010
    极靴 Steel_1010
    线圈 Copper
    骨架 Teflon
    下载: 导出CSV

    表  2  关键尺寸参数变化范围

    Table  2.   Range of changes in key dimensional parameters mm

    参数 最小值 最大值 颗粒度
    $\delta_ {{a}}$ −4 0 0.25
    $\delta _{{b}}$ −0.4 0 0.05
    $\delta _{{c1}}$ −0.05 0.05 0.01
    $\delta _{{c2}}$ −0.05 0.05 0.01
    $\delta _{{d}}$ −0.5 0.5 0.2
    下载: 导出CSV

    表  3  试验参数设置及计算结果

    Table  3.   Experimental parameter settings and calculation results

    序号 δa/mm δb/mm δc1/mm δc2/mm δd/mm λ
    1 −2 7.75 −0.05 −0.05 0 303.824
    2 −2 7.75 −0.05 −0.05 0 337.021
    3 −4 7.75 −0.05 0 0 290.789
    4 −2 8.5 −0.05 0 −0.5 292.208
    5 −2 7 −0.05 0 −0.5 277.848
    $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $
    49 −2 8.5 −0.05 0 0.5 265.928
    下载: 导出CSV

    表  4  方差分析

    Table  4.   Analysis of variance

    方差来源 P 方差来源 P 方差来源 P
    模型 <0.000 1 δaδc1 0.714 6 δc1δd 0.722 1
    δa 0.363 6 δaδc2 0.985 2 δc2δd 0.842 0
    δb 0.000 4 δaδd 0.910 2 δa2 0.628 2
    δc1 0.016 8 δbδc1 0.848 4 δb2 0.021 2
    δc2 <0.000 1 δbδc2 0.309 3 δc12 0.436 9
    δd 0.000 4 δbδd 0.000 8 δc22 0.875 1
    δaδb 0.605 3 δc1δc2 0.883 1 δd2 0.225 5
    下载: 导出CSV

    表  5  参数优化前后对比

    Table  5.   Comparison before and after parameter optimization

    参数 δa/mm δb/mm δc1/mm δc2/mm δd/mm $L$/mm ${F_{{\mathrm{av}}}}$ $\lambda $
    优化前 0 7.879 0.063 0.049 0 33.67 244.8 278.5
    优化后 −4 7.5 −0.023 −0.05 0.5 69.31 270.2 339.5
    下载: 导出CSV
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  • 收稿日期:  2024-02-27
  • 修回日期:  2024-06-15
  • 网络出版日期:  2024-07-10

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