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发表时间：2017-01-01

发表刊物：中南大学学报 自然科学版

所属单位：机械工程学院

卷号：48

期号：9

页面范围：2352-2362

ISSN号：1672-7207

摘要：Experiments were conducted to investigate the relationship between cutting parameters and cutting force of representative unidirectional CFRP. By using the back-propagation artificial neural network, the milling forces of the representative unidirectional CFRP were obtained. Based on the time-domain graph of unidirectional CFRP milling forces' and the theory of superposition, a prediction model of multidirectional CFRP cutting forces was established and modified, and the verification experiments were conducted. The results show that the cutting angel is the most important factor to influence the milling forces. The prediction accuracy is above 85%.

备注：新增回溯数据