Fei Renyuan, Su Pingyan, Wang Min, Wang Jiangang, You Jinhua. The Feature Recognition of Chip Flow Jam in Boring[J]. Journal of Beijing University of Technology, 1997, 23(4): 14-19.
Citation:
Fei Renyuan, Su Pingyan, Wang Min, Wang Jiangang, You Jinhua. The Feature Recognition of Chip Flow Jam in Boring[J]. Journal of Beijing University of Technology, 1997, 23(4): 14-19.
Fei Renyuan, Su Pingyan, Wang Min, Wang Jiangang, You Jinhua. The Feature Recognition of Chip Flow Jam in Boring[J]. Journal of Beijing University of Technology, 1997, 23(4): 14-19.
Citation:
Fei Renyuan, Su Pingyan, Wang Min, Wang Jiangang, You Jinhua. The Feature Recognition of Chip Flow Jam in Boring[J]. Journal of Beijing University of Technology, 1997, 23(4): 14-19.
The Feature Recognition of Chip Flow Jam in Boring
To recognize chip flow jam in boring, an intelligent sensor group composed of force sensor and thermal sensor was presented, and the strategies to acquire featured parameters were studied. Because of the complexity, randomness and fuzziness of cutting process, a new model called Fuzzy-ARTMAP combined fuzzy theory and neural network was used to identify the chip flow jam in cutting, which was proved to be satisfied.
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