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Methods of Optimization of Milling Parameters Based on Genetic Algorithm

机译:基于遗传算法的铣削参数优化方法

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In this paper,the genetic algorithm is used to optimize the milling parameters in the milling process so that the tool life can be enhanced and processing costs can be reduced.LABVIEW is used as software development platform to program,monitor the tool wear and determine the tool life. Through the method of orthogonal experiment to design experiment and then the measured data is dealt with by MATLAB,and a mathematical formula is established between milling parameters and tool life.Using mathematical formula and production cost process as a mathematical model. At last,dealing with the mathematical model through the application of genetiC algorithms,the most optimized milling parameters is obtained.Experiment proves the practicality of the genetic algorithm in the optimization of milling parameters.
机译:本文采用遗传算法对铣削过程中的铣削参数进行优化,以延长刀具寿命,降低加工成本。LABVIEW作为软件开发平台进行编程,监控刀具的磨损并确定刀具的磨损。工具寿命。通过正交试验的方法设计试验,然后用MATLAB处理测量数据,建立铣削参数与刀具寿命之间的数学公式。以数学公式和生产成本过程为数学模型。最后,通过应用遗传算法对数学模型进行处理,获得了最优化的铣削参数。实验证明了遗传算法在铣削参数优化中的实用性。

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