Abstract
To overcome the deviation caused by the effect of subjective factors in drill wear evaluation, and make the evaluation more accurate and objective, on the basis of drill wear comprehensive evaluation criterion, the projection data are built with projection pursuit method. Two hundred drill wear comprehensive evaluation samples are randomly generated within the range of each class. The projection pursuit model is built by unitary processing according to these samples, which converts the evaluation into non-linear multi-constrained optimization problems. The optimal projection direction vector and the weight coefficient of each evaluation index are obtained with composite simplex method. Meanwhile the corresponding relationship between the region of variation of projection eigenvalue and classification grade is established. The precision of sample evaluation reaches 100% and the evaluation of the measured data achieves good effect. Thus, the scientific evaluation of drill wear is realized by the projection pursuit model.
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