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The Sensitivity Analysis and Optimization Design of the Electrostatic Inductive Measuring Device for Weak Charge Measurement of Coal Mine Dust

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 158))

Abstract

This paper introduced a new method of coal dust measurement based on electrostatic induction. A physical model of the electrostatic inductive measuring device with circular ring electrode is created which is applicable to the special environment of coal mine. The sensitivity of the measuring device with different geometric sizes is studied by using the finite elements software ANSYS at the situation that the dust through the measuring device is homogeneous. The optimization design of the electrostatic inductive measuring device using genetic algorithm is also introduced to obtain optimal sensitive response of the measuring device. With this method, the structure and geometric size of the measuring device is confirmed which is helpful for the following study of the electrostatic inductive measuring device.

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References

  1. Zeng, F., et al.: Particle Technology of Mineral Processing. China Mineral University Press. Xuzhou (2001) (in Chinese)

    Google Scholar 

  2. Gajewski, J.B.: Non-Contact Electrostatic Flow Probes for Measuring the Flow Rate and Charge in the Two-Phase Gas–Solid Flows. Chemical Engineering Science 61, 2262–2270 (2006)

    Article  Google Scholar 

  3. Yan, Y.: Mass Flow Measurement of Pneumatically Conveyed Solids. D. University of Teesside, U.K (1992)

    Google Scholar 

  4. Ma, J., And Yan, Y.: Design And Evaluation of Electrostatic Sensor for the Measurement of Velocity of Pneumatically Conveyed Solids. Flow Measurement and Instrumentation 11, 195–204 (2000)

    Article  Google Scholar 

  5. Cheng, R.: A Study of Electrostatic Pulverized Fuel Meters. D. University of Teesside, U.K (1996)

    Google Scholar 

  6. Xu, C.L.: Multiphase Flow Measurement Technologythec Laboratory Department of Power Engineering. D. Southeast University, Nanjing (2005) (in Chinese)

    Google Scholar 

  7. Yang, S.W.: Triboelectrification and Discharging Characteristic. In: Ash, F. (ed.) D. Xi’an University of Architecture &Technology, Xi’An (2007)

    Google Scholar 

  8. Xu, C., Wang, S., Tang, G., Yang, D., And Zhou, B.: Sensing Characteristics of Electrostatic Inductive Sensor for Flow Parameters Measurement of Pneumatically Conveyed Particles. Electrostatistics 65, 582–592 (2007)

    Article  Google Scholar 

  9. Cao, K.Y., Dong, H.Y.: Realization of Improved Genetic Algorithm Based on Ansys. Shanxi Architecture 24, 66–67 (2009)

    Google Scholar 

  10. Yang, Z.N., Wu, Z.W., Lei, T.A.: A Comparision Between Ansys Optimization And Ga in the Truss Structure. Techniques of Automation and Applications 07, 4–12 (2004)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Qian, X., Cheng, X., Zhang, L., Cao, M. (2011). The Sensitivity Analysis and Optimization Design of the Electrostatic Inductive Measuring Device for Weak Charge Measurement of Coal Mine Dust. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22694-6_12

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  • DOI: https://doi.org/10.1007/978-3-642-22694-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22693-9

  • Online ISBN: 978-3-642-22694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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