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Open Access Issue
A method to improve accuracy of hot-wire probe calibration under variable temperature field
Journal of Measurement Science and Instrumentation 2023, 14(2): 164-173
Published: 01 June 2023
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The probe calibration wind tunnel of IFA300 hot-wire anemometer system cannot complete the probe calibration at a given temperature and low flow rate, because the side wall of the calibration wind tunnel has high thermal conductivity. That is to say, when the air flows through the calibration wind tunnel, its temperature will decrease sharply. In view of this structural defect, a measure method is put forward to maintain the temperature of the calibrated airflow by heating the side wall of the calibrated wind tunnel, which greatly widens the temperature range of the calibrated low-speed airflow. This measure adopts repetitive experimental methods to effectively improve the accuracy of the calibration results. The relative error of the test is controlled under 1% for the calibration airflow with temperature from 20 ℃ to 58 ℃, which is much higher than the design accuracy of the IFA300 hot-wire anemometer. In order to adapt to the test of the flow parameters in an enclosed cavity, a set of probe anti-collision control system is designed and manufactured, and the hot-wire probe has been protected well. The temperature and average velocity in the outer normal direction at different heights of the hot wall of the enclosed cavity are measured, which is in good agreement with the literature results.

Issue
Effect of a built-in finned Trombe wall on the thermal environment of heating rooms in cold regions
Journal of Chongqing University 2026, 49(4): 14-25
Published: 14 April 2025
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To evaluate the contribution of a built-in fin-type Trombe wall to reducing indoor heating energy consumption, this study takes a typical residential building in Lanzhou as the research object. Fins are installed on the heat-absorbing surface of the Trombe wall to enhance heat transfer and thereby improve the indoor thermal environment. The results show that the isosceles right-triangle fins with a height of 20 mm, a transverse spacing of 0.20 m, a longitudinal spacing of 0.533 m, and an in-line configuration provide the greatest improvement in heat transfer performance and indoor thermal conditions. Over the entire simulation period, the average Nusselt number (Nu) of the fin-type Trombe wall is 21.28 higher than that of the finless wall. Compared with a conventional room, the energy-saving rates of the finless Trombe wall and fin-type Trombe wall rooms are 36.38% and 44.63% respectively, meaning the fin-type Trombe wall yields an additional 8.25% energy-saving improvement.

Open Access Original Article Issue
Using proper orthogonal decomposition to solve heat transfer process in a flat tube bank fin heat exchanger
Advances in Geo-Energy Research 2017, 1(3): 158-170
Published: 25 December 2017
Abstract PDF (3.6 MB) Collect
Downloads:140

Proper orthogonal decomposition (POD) reduced-order model can save computing time by reducing the dimension of physical problems and reconstructing physical fields. It is especially suitable for large-scale complex problems in engineering, such as ground heat utilization, sea energy development, mineral exploitation, multiphase flow and flow and heat transfer with complex structure. In this paper, the POD reduced-order model was used to calculate the heat transfer in a flat tube bank fin heat exchanger. The calculating results of the finite volume method (FVM) were adopted as the snapshot samples. Singular value decomposition method was used to decompose the samples to obtain a series of bases and corresponding coefficients on sampling conditions. With these coefficients, interpolation method was used to calculate the coefficients on predicting conditions. And the physical field has been reconstructed using the bases and the interpolated coefficients directly.

In the calculation of heat transfer unit of flat tube fin heat exchanger, air-side Reynolds number, transverse tube spacing and the fin spacing were chosen as the variables. The results obtained by the POD method are in good agreement with the results calculated by the FVM. Moreover, the POD reduced-order model presented in this paper is more advantageous in comparison with the FVM in terms of accuracy, suitability, and computational speed.

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