Full
Outline
To investigate the combustion characteristics of base bleed propellant moving with the projectile in the gun bore, the closed bomb semi-physical and experimental simulation technology was employed. The combustion property under the condition of simulative high pressure in the gun bore was studied. Two average pressure-time curves corrected by heat loss were obtained under different charge density of the closed bomb. The correlation data between burning rate and pressure (8-150 MPa) were processed by smoothing, filtering and data transformation. The burning rate model adopting back propagation (BP) neural networks describing, which is suitable for high combustion pressure condition, was built based on training data samples. Comparing with the exponential burning rate model, the BP neural networks burning rate model of base bleed propellant has higher fitting precision and stronger robust.
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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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