Volume 43 Issue 7
Jul.  2023
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WANG Zhao, WU Zutang, YANG Jun, LI Yan, LIU Wenxiang. Parameter design of a new thin-diaphragm pressure sensor[J]. Explosion And Shock Waves, 2023, 43(7): 074102. doi: 10.11883/bzycj-2022-0392
Citation: WANG Zhao, WU Zutang, YANG Jun, LI Yan, LIU Wenxiang. Parameter design of a new thin-diaphragm pressure sensor[J]. Explosion And Shock Waves, 2023, 43(7): 074102. doi: 10.11883/bzycj-2022-0392

Parameter design of a new thin-diaphragm pressure sensor

doi: 10.11883/bzycj-2022-0392
  • Received Date: 2022-07-10
  • Rev Recd Date: 2023-02-28
  • Available Online: 2023-05-04
  • Publish Date: 2023-07-05
  • In recent years, the new measurement method of shock wave reflection overpressure peak by using the direct proportional relationship between the pressure to be measured and the diaphragm acceleration has been verified by shock-tube verification experiments. This method has the advantages of no calibration, simple fabrication, low cost and high measurement accuracy. In order to optimize the main parameters of the thin-diaphragm pressure sensor and to obtain the uncertainty of pressure measurement, numerical simulations were carried out. Specifically, the numerical simulation based on step pressure was carried out to analyze the influences of diaphragm thickness, pressure to be measured, fitting parameters and other factors on the pressure measurement. The numerical simulation based on blast pressure was carried out to analyze the influence of rapid pressure drop on measurement. The displacement or velocity signal of the thin diaphragm was fitted to obtain the diaphragm’s acceleration value at the beginning of impact, which was further used to calculate the pressure peak to be measured. By comparing the calculated pressure with the standard pressure, the optimum values of fitting time, fitting polynomial degree, diaphragm thickness and other factors were obtained. And the main technical specifications of the thin diaphragm pressure sensor were obtained. In particular, the polynomial fitting method was applied to carry out data processing, which can effectively avoid the model error introduced by linear fitting. This method obviously improved the measurement accuracy of the sensor and was a great improvement. In addition, shock-tube experiments were carried out to verify some conclusions by numerical simulation. In summary, the optimal parameters of the diaphragm pressure sensor were obtained: the thickness of the stainless steel diaphragm is 50-70 µm, velocity data is fitted by second-order polynomial, and fitting time is about 0.8 µs. And the relative error of shock wave reflection overpressure peak measurement can be controlled within 3%. Relevant conclusions can provide references for the popularization and application of the diaphragm pressure sensors.
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