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To obtain the optimal milling process parameters of vermicular graphite cast iron, milling test was conducted by using the BP neural network optimization design method at various combinations of cutting speed, feed rate and back feed volume, the chip formation of vermicular graphite cast iron (RU450) and the influence of process parameters on surface quality during high-speed milling was studied and analyzed. The results indicate that the optimal milling process parameters, as optimized by the BP neural network, consist of a cutting speed range of 2.8~3.1 m/s, a feed rate of 760~780 mm/min, and a back feed rate of 0.1 mm. The milling process resulted in chips with a helical and "C"-shaped curved shape, as observed by Scanning Electron Microscope (SEM). The graphite on the workpiece surface has a complete worm-like and spherical shape, with the graphite edge clearly visible. The milling surface roughness measures 1.0~2.0 μm, and the milling samples meet all process indicator requirements.
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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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