激光熔覆配油盘零件工艺参数优化研究

大功率激光熔覆配油盘零件工艺参数的优化,是现代表面强化技术研究的一个重点。文章阐述了求解激光熔覆最优工艺参数时遗传算法策略的选取办法,用神经网络方法建立了以激光功率(P)、扫描速度(V)、送粉速率(G)、扫描间距(D)和层厚(ΔZ)等工艺参数与配油盘零件性能之间定量关系模型,通过对参数编码方式、初始群体设定、适应度函数设计、遗传操作设计得到了遗传算法控制参数的最佳配置方案。在MATLAB环境中用遗传算法工具箱得到了适合于激光熔覆配油盘零件的最优工艺参数,实现了配油盘零件性能的优化目标。实践证明由遗传算法得到的最优工艺参数是正确的,对生产实践有很好的指导作用。

Optimization Research of Process Parameters for Laser Cladding Oil Distribution Plate Parts

The optimization research of process parameters for big power Laser cladding oil distribution plate parts, is a research focus of modern surface hardening technology. The article discussed for solving the optimum process parameters of Laser cladding for the selection approach of strategy of genetic algorithm, the quantitative relationship model was established between process parameters and the oil distribution plate parts property using neural network method, which process parameters are laser power（P）, scanning speed（V）, powder feeding rate（G）, scan spacing（D） and thickness（ ΔZ） etc., the best configuration program of Genetic Algorithm control parameters has been obtain by means of the parameters encoding、initial group setting、fitness function design and genetic operation design. The optimization of process parameters is obtained to fit the Laser cladding technology by using genetic algorithm toolbox in the MATLAB environment, and the optimization goal of the oil distribution plate parts property has also been achieved. Practice has proved that the optimal process parameters are correct by the genetic algorithm, and has a very good production practice guide.