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It is of great significance to obtain accurate heat flux data for understanding the thermal environment and optimizing the thermal protection system of the flight vehicles. The important aspects of heat flux measurement technology development are heat flux calibration and heat flux data processing. The heat flux sensor based on the hybrid heat transfer principle needs to utilize heat flux terms from different sources, such as the heat storage term and the temperature difference term to achieve heat flux results during data processing. The error sources and the magnitudes of influence of these terms are different, resulting in limitations of the common single-coefficient calibration method. Especially when the testing time is longer, some error factors will cause changes in heat flux measurement error. This paper proposes a multi-coefficient calibration method that corrects each heat flux term using different coefficients separately. Based on the temperature data in the calibration test and the known input heat flux, the calibration coefficient matrix is solved using the least squares method. The analysis and processing results of the calibration testing data show that using the multi-coefficient calibration method, the heat flux results are in better agreement with the input heat flux than those using the single-coefficient method. With enough testing data, the calibration deviation is less than 5% within the calibration time.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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