基于正交试验的光声池气流性能模拟及参数优化

doi:10.3964/j.issn.1000-0593(2023)12-3899-07

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Abstract Photoacoustic spectroscopy gas detection technology is the most typical application of photoacoustic technology. Compared with other methods, photoacoustic gas detection technology has the advantages of a simple structure, wavelength free detector, zero background noise and low cost. This technology has been widely used in various fields. The photoacoustic cell is the core component of the photoacoustic spectrum gas detection system, and its performance greatly impacts the detection results. At present, the optimization of the photoacoustic cell is mainly carried out under static conditions, and there are few reports on the gas flow performance and dynamic time response in the photoacoustic cell cavity. Because the gas disturbance and system detection noise of the photoacoustic cell under dynamic detection conditions have a certain impact, the relevant parameters of the photoacoustic cell are further explored and optimized to improve the gas flow field distribution in the photoacoustic cell cavity. Dynamic pressure characteristics and gas concentration equilibrium time are of great significance to improve the gas detection performance of photoacoustic spectroscopy. Therefore, based on the traditional cylindrical photoacoustic cell, the steady-state and transient simulation models of the flow field in the photoacoustic cell cavity are established based on the three-dimensional flow field numerical simulation method, and the gas flow field distribution and gas concentration balance response law in the photoacoustic cell cavity are calculated. The results show that reducing the flow velocity in the photoacoustic cell and optimizing the transition structure in the photoacoustic cell will improve the dynamic pressure fluctuation caused by the flow and shorten the gas concentration regulation time in the cavity. Taking the five parameters of the transition corner between the buffer cavity and the resonator of the photoacoustic cell, the number of auxiliary holes, the radius of the auxiliary hole, the radius of the center circle of the auxiliary hole and the air inlet speed as factors, and taking the dynamic pressure value at the midpoint of the resonator axis and the gas concentration adjustment time as inspection indexes, the method of combining numerical simulation, orthogonal experimental design and entropy weight method is adopted, The primary and secondary order of the influence of the relevant parameters of the photoacoustic cell on the dynamic pressure value is obtained as follows: the radius of the auxiliary hole>the number of auxiliary holes>air inlet speed>transition fillet>the radius of the center circle of the auxiliary hole; The primary and secondary order of influence on the adjustment time is: inlet speed>auxiliary hole radius>number of auxiliary holes=auxiliary hole center circle radius>transition fillet. In order to balance the influence of indicators, this paper transforms the multi-objective parameter optimization problem into a single objective optimization problem. It objectively gives the weight of dynamic pressure value as 0.49 and the weight of adjustment time as 0.51 respectively. Within the range of parameters studied in this paper, the best combination of parameters is obtained: the circle at the transition between the buffer cavity and the resonator is 3.0 mm, the number of auxiliary holes is 8, the radius of auxiliary holes is 3.5 mm, the radius of the center circle of auxiliary holes is 22.5mm, the air inlet speed is 0.06 m·s^-1, the dynamic pressure value at the midpoint of the axis of the optimized photoacoustic cell resonator is 9.4×10^-4 Pa, and the gas concentration adjustment time in the cavity is 141 s. Compared with the indicators before the optimization of the photoacoustic cell, the dynamic pressure value is relatively reduced by 88.1%, and the adjustment time is relatively reduced by 17.5%. Both indicators have been optimized and improved, and the optimization effect is relatively ideal. The research methods and conclusions can provide important references for photoacoustic cell optimization design and expansion.

Key words：Photoacoustic spectrum; Photoacoustic cell; Numerical simulation; Orthogonal test; Entropy weight method; Parameter optimization

Received: 2022-07-03 Accepted: 2022-10-17

ZTFLH:

TP212

Cite this article:

CHENG Gang,CAO Ya-nan,TIAN Xing, et al. Simulation of Airflow Performance and Parameter Optimization of Photoacoustic Cell Based on Orthogonal Test[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3899-3905.

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