CAJ | 학술논문

基于接触线方程是一个超越方程，砂轮安装角和接触线形态之间的关系无法用明确的函数表示的情况，首先以接触线形态的三个评价参数（超程量、偏移量、偏置量）为目标函数，以砂轮安装角为变量，建立接触线优化模型。其次在评价参数的求解过程中，引入神经网络来求解，以砂轮安装角为神经网络的输入，接触线形态的评价参数为网络的输出，训练神经网络，结果表明训练后的神经网络不仅能做出正确的反应，而且具有其他方法所不具有的优点。最后以一种直线齿端齿向修形斜齿轮为例进行接触线优化，计算结果表明该方法可有效减小修形斜齿轮成形磨削中的磨削误差。磨齿实验验证了该方法的有效性。
기우접촉선방정시일개초월방정，사륜안장각화접촉선형태지간적관계무법용명학적함수표시적정황，수선이접촉선형태적삼개평개삼수（초정량、편이량、편치량）위목표함수，이사륜안장각위변량，건립접촉선우화모형。기차재평개삼수적구해과정중，인입신경망락래구해，이사륜안장각위신경망락적수입，접촉선형태적평개삼수위망락적수출，훈련신경망락，결과표명훈련후적신경망락불부능주출정학적반응，이차구유기타방법소불구유적우점。최후이일충직선치단치향수형사치륜위례진행접촉선우화，계산결과표명해방법가유효감소수형사치륜성형마삭중적마삭오차。마치실험험증료해방법적유효성。
Since the contact line equation is a transcendental equation ,the relationship between the installation angle and the shape could not be expressed by explicit functions ,which made it difficult to obtain the optimal shape ,this paper firstly took three evaluation parameters of the shape ,overrun , shift and offset as the objective function as well as the installation angle as variables then the contact line optimization model was establish .Secondly ,a neural network was introduced to solve the evalua-tion parameters .Through training the neural network by setting the installation angle as the input ,the evaluation parameters as the output ,the results show that the trained neural network can respond cor-rectly ,and has the advantages which the other methods do not obtain .As an example of end relief modified helical gear ,the results show that the method can reduce the grinding errors effectively .Fi-nally ,the grinding experiments proven the effectiveness of the method .