A study was made on prediction of the breaking area of 3-d chip former using RBF neural networks.
研究了RBF神经网络在可转位三维槽型刀片的断屑范围预测中的应用。
The groove parameters is the base to study 3d groove chip-breaking limits. But the more complex the shape of 3d groove is, the more difficult to get the groove parameters with general method.
槽型参数是研究三维槽型切屑折断界限的基础，但三维槽型越来越复杂，通过一般手段无法测得槽型参数。
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