Analytical Calculation and Optimization of Superconducting Gravimeter Temperature Effect

Xing, Hongtao; Hu, Xinning; Zhang, Zili; Cui, Chunyan; Wang, Hao; Niu, F.; Zhang, Yuan; Wang, Luzhong; Wang, Qiuliang

doi:10.1109/tasc.2022.3168880

Cited by 3 publications

(3 citation statements)

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“…The simulation modeling requires the consideration of different aspects (a) Considering that the superconducting gravimeter sensor electromagnetic structure is rotational axisymmetric [23][24][25], a two-dimensional model is required.…”

Section: Model Constructionmentioning

confidence: 99%

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Numerical simulation of AC losses in superconducting gravimeter

Xing¹,

Hu²,

Cui³

et al. 2022

Supercond. Sci. Technol.

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The annual drift of μGal level is an important indicator of superconducting gravimeters, which helps geophysicists to clarify the weak geophysical signals. In this paper, a finite element simulation model of the superconducting gravimeter sensor is developed based on the H formulation for evaluating the contribution of the excitation AC losses and the AC losses under operating conditions to the superconducting gravimeter’s drift. The model combines the H formulation and the heat transfer module of COMSOL Multiphysics software to calculate the AC losses of the superconducting gravimeter’s test mass and obtain the distribution images of the test mass’s temperature due to the AC losses-induced heating. The overall temperature rise of the test mass is obtained by assuming that it heats up uniformly and thus combines the temperature dependence factor (10 μGal/mK) of the superconducting gravimeter to derive the instrument drift induced by AC losses. Then, the long-term drift due to excitation losses can reach 0.847 μGal/year, while the operating losses can be 0.45 μGal/year or even less, according to the simulation. In addition, this paper discusses the effects of the parameters (index number, critical electric field and critical current density) in the E-J power law introduced by the H formulation on the AC loss evaluation. It is concluded that the AC losses are sensitive to the critical current density, and increasing the test mass’s critical current density helps enhance the stability of the superconducting gravimeter.

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Section: Model Constructionmentioning

confidence: 99%

“…Parameter Description Value n Index number 30 [6] Jc (4.2 K) Critical current density at 4.2 K 2 × 10 9 A m −2TcCritical temperature of the test mass 9.12 K[24] …”

mentioning

confidence: 99%

Numerical simulation of AC losses in superconducting gravimeter

Xing¹,

Hu²,

Cui³

et al. 2022

Supercond. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…for ever-increasing instrument precision, the demand for stringent requirements in temperature stability has risen significantly. For instance, superconducting gravimeters necessitate fluctuations of about a few µK in the time domain [1][2][3][4], while ultra-stable lasers require temperature fluctuations to be on the order of 1 µK [5]. Notably, space-based gravitational wave detectors require temperature fluctuations at an astonishing level of 10 µK Hz −1/2 within the frequency band of 0.1 mHz to 1 Hz [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Improving the environmental temperature adaptability of an electric temperature measurement subsystem by matching temperature coefficients of substitutable resistors

Gu,

Chen,

Ling

et al. 2024

Meas. Sci. Technol.

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The electrical temperature measurement subsystem in space gravitational wave detectors requires micro-Kelvin precision in the sub-millihertz band. However, the low-frequency stability of the measurement circuit, excluding the sensor, is susceptible to environmental temperature fluctuations, closely linked to the residual temperature coefficient of the circuit. This paper proposes a method to minimize the residual temperature coefficient for a thermistor-based temperature measurement subsystem, enabling the circuit to be mounted on surfaces with less stringent thermal stability requirements. Through extensive testing of resistors with the same nominal resistance, a best-matched pair is selected to compensate for the residual temperature coefficient by replacing two gain resistors in the low-pass filter. Our assessment demonstrates that this matching and replacement process reduces the residual temperature coefficient of the backend circuit from -0.135 mV/K to -0.027 mV/K, resulting in a significant five-fold improvement in the subsystem's adaptability to environmental temperatures within the specified frequency band. This method contributes to the development of measurement subsystems that meet stringent stability requirements.

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