CAJ | 학술논문

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。
대공솔격광용복배유반령건공예삼수적우화，시현대표면강화기술연구적일개중점。문장천술료구해격광용복최우공예삼수시유전산법책략적선취판법，용신경망락방법건립료이격광공솔(P)、소묘속도(V)、송분속솔(G)、소묘간거(D)화층후(ΔZ )등공예삼수여배유반령건성능지간정량관계모형，통과대삼수편마방식、초시군체설정、괄응도함수설계、유전조작설계득도료유전산법공제삼수적최가배치방안。재MATLAB배경중용유전산법공구상득도료괄합우격광용복배유반령건적최우공예삼수，실현료배유반령건성능적우화목표。실천증명유유전산법득도적최우공예삼수시정학적，대생산실천유흔호적지도작용。
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 pro-cess parameters of Laser cladding for the selection approach of strategy of genetic algorithm, the quantitative rela-tionship 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 algo-rithm 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.