Abstract
This study aims to explore the influence of various factors of the electrostatic induction system on the object information of double-electrode electrostatic detection. Based on the principle of electrostatic induction, we first establish a system model and a mathematical model for single-electrode electrostatic detection. We analyze the effect of various factors on the target information of single-electrode electrostatic detection. On this basis, a novel double-electrode electrostatic detection model is introduced, and detection rational is explained in detail. A comparative study using theory and computer simulation is conducted. The results show that the novel double-electrode electrostatic detection system performs significantly better than its single-electrode counterpart. We also observe that the vertical detection distance has a greater impact on the detection performance compared to the interval between the two electrodes. Moreover, we find that the vertical detection distance and the interval between the two electrodes have a much more substantial influence on the electrostatic detection performance than other intrinsic factors.
REFERENCES
Gorlov, M.I., Strogonov, A.V., and Vinokurov, A.A., Benchmarking the reliability of the consignments of semiconductor articles using electrostatic discharges, Russ. J. Nondestr. Test., 2018, vol. 54, no. 6, pp. 455–461.
Song, C.L. and Teongsan, Y., Effective electrostatic discharge detection in equipment via EMI, Proc. IEEE/CPMT Int. Electron. Manuf. Technol. Symp., 2008, pp. 1–4.
Wang Dong and Xiong Bo, Simulation analysis of electrostatic field detection of moving target, J. Naval Aeronaut. Astronaut. Univ., 2017, vol. 32, no. 4, pp. 411–415.
Fisher, J., Hoole, P.R., Pirapaharan, K., et al., Pre-lightning strikes and aircraft electrostatics, MATEC Web Conf., 2017, vol. 87, p. 05002.
Kobayashi, T., Oyama, S., Makimoto, N., et al., An electrostatic field sensor operated by self-excited vibration of MEMS-based self-sensitive piezoelectric microcantilevers, Sens. Actuators A: Phys., 2013, vol. 198, pp. 87–90.
Noras, M.A., Ramsey, S.P., and Rhoades, B.B., Projectile detection using quasi-electrostatic field sensor array, J. Electrost., 2013, vol. 71, no. 3, pp. 220–223.
Trinks, H., Electric field detection and ranging of aircraft, IEEE Aerosp. Electr. Syst., 1982, vol. 3, pp. 268–273.
Kimoto, A., Ichinose, Y., and Shida, K., A new sensing method using contact voltage for material discrimination, Sens. Actuators A Phys., 2009, vol. 149, no. 1, pp. 1–6.
Kurita, K. and Morinaga, S., Noncontact detection of movements of standing up from and sitting down on a chair using electrostatic induction, IEEE Sens. J., 2019, vol. 19(19), pp. 8934–8939.
Li Yinlin, Cui Zhanzhong, Bai Yuxian, and Shi Jusheng, Charge-inducing electrostatic fuse detecting technology, J. Beijing Inst. Technol., 1999, vol. S1, pp. 3–5.
Li Weixin, Wu Haidong, Liu Yuelong, and Wang Haitao, Research on energy loss of fuze setting system based on magnetic resonant coupling in complex environment, J. Test Meas. Technol., 2016, vol. 30, no. 4, pp. 341–346.
Fang Liqing, Chen Kai, Wang Hongkai, and Zhang Lei, Application of passive non-contact electrostatic detection in composite fuze, Ordnance Ind. Autom., 2012, vol. 31, no. 12, pp. 85–87.
Xiong Bo, Dong Yunlong, Wang Dong, and Li Weixin, Analysis of main influence factors on electrostatic fuse detection, J. Naval Aeronaut. Astronaut. Univ., 2019, vol. 34, no. 6, pp. 465–469.
Li Yanxu and Xu Lixin, Study of a novel electrostatic detection sensor, Appl. Mech. & Mater., 2012, vols. 110–116, pp. 5476–5482.
Shiryaeva, S.O. and Grigor’ev, A.I., On the stability of a bending mode of a charged jet of viscous dielectric liquid with the ultimate electroconductivity in a collinear electric field, Surf. Eng. & Appl. Electrochem., 2011, vol. 47, no. 2, pp. 132–138.
Wang Dong, Xiong Bo, and Li Weixin, Simulation analysis of influencing factors of electrostatic detection, J. Ordnance Equip. Eng., 2017, vol. 12, pp. 272–277.
Funding
The authors would like to acknowledge China Postdoctoral Science Foundation (grant no. 2021M701713), Jiangsu Funding Program for Excellent Postdoctoral Talent (grant no. 2022ZB245), National Natural Science Foundation of China (grant no. 52201399) and 2021 Open Project Fund of Science and Technology on Electromechanical Dynamic Control Laboratory (grant no. 212-C-J-F-QT-2022-0020) to provide fund for conducting experiments.
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Chen, H., Zha, B., Wang, C. et al. Analysis of Influencing Factors of Electrostatic Detection System Based on Double Electrode. Russ J Nondestruct Test 59, 691–701 (2023). https://doi.org/10.1134/S1061830923600247
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DOI: https://doi.org/10.1134/S1061830923600247