Volume 50 Issue 6
Jun.  2024
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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

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

doi: 10.13272/j.issn.1671-251x.2024020048
  • Received Date: 2024-02-27
  • Rev Recd Date: 2024-06-15
  • Available Online: 2024-07-10
  • In response to the problems of insufficient electromagnetic driving force and slow response speed of electromagnetic valves under the constraints of driving power and electromagnetic valve volume, the dynamic and static features of electromagnetic valves are analyzed. Through simulation analysis and prototype experiments, it is verified that improving the intrinsically safe electromagnetic force can significantly improve the response features of electromagnetic valves. A plan to improve the response features of electromagnetic valves by optimizing the electromagnetic force is determined. The evaluation indicators for the features of intrinsically safe electromagnets, including effective stroke index, average electromagnetic force index, and static comprehensive performance index, have been proposed to solve the problem of difficult performance evaluation of electromagnets caused by different stroke. The Maxwell electromagnetic simulation software is used to analyze the effects of changes in guide tube depth, armature radius, non working air gap, non working air gap, and pot mouth height on the static features of the electromagnet. The sensitivity of different parameters to the static features is obtained, providing a reference for selecting the size control range in parameter optimization. A second-order response surface model is constructed based on the results of orthogonal experiments to evaluate the comprehensive features of electromagnets using iron core structural parameters. Genetic algorithm is used to optimize the iron core parameters. The prototype test results show that the optimized electromagnetic force in the horizontal section of the electromagnet has increased by 56%, the effective stroke has increased by 26%, and the opening response time of the intrinsically safe electromagnetic valve has been shortened by 52.5%.

     

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