基于刀具可靠性的最大生产率优化模型研究

Research on the Optimization Model for Maximum Productivity Based on Tool Reliability

在刀具寿命分布参数神经网络预报技术的基础上，建立基于刀具可靠性的最大生产率优化模型，提出实用的优化方法，根据新的优化模型，以最大生产率为目标函数可以对不同换刀方式下切削用量和换刀间隔进行宽范围优化。对自动化切削加工实例的优化结果表明，新的优化模型适合于自动化切削加工过程的优化。

On the basis of predictive technique for the parameters of tool life distribution with neural networks,new optimization model for maximum productivity based on tool reliability and the corresponding pracTical optimization method are developed. According to the model,taking maximum productivity as the target function. the optimum cutting parameters and tool replacement interval can be determined. The results of optimization to a practical automatic cutting process show that the model is appropriate to the optimization of automatic cutting prooess.