基于集成RSM和NSGA-Ⅱ的SLM成形GH3625高温合金尺寸精度优化研究
Optimization Study on Dimensional Accuracy of SLM Forming of GH3625 Superalloy Based on Integrated RSM and NSGA-Ⅱ
曾权 1王克鲁 1鲁世强 1鲁翠媛 2李鑫 1周潼 1汪增强1
作者信息
- 1. 南昌航空大学航空制造工程学院,江西南昌 330063
- 2. 南昌大学先进制造学院,江西南昌 330031
- 折叠
摘要
为了提高选区激光熔化(SLM)成形零件的尺寸精度,本研究提出了一种集成响应面法(RSM)和非支配排序遗传算法-Ⅱ(NSGA-Ⅱ)的方法来优化SLM成形GH3625高温合金的尺寸精度.首先采用响应面法建立了 SLM工艺参数与X、Y和Z方向的尺寸误差模型,然后通过NSGA-Ⅱ对模型进行多目标优化.结果表明:响应面法构建的模型具有较高的预测精度,其相关系数R2依次为0.9456、0.9842、0.9704;优化算法在迭代1500次时,能够获得最优的加工参数区间:激光功率250.8～310 W、扫描速度1028～1400 mm/s、扫描间距0.071～0.084 mm;最终,试验验证结果表明该集成方法具有较高的可靠性,其X、Y、Z方向尺寸误差的ARE依次为5.95％、4.92％、3.97％.
Abstract
In order to improve the dimensional accuracy of SLM-formed parts,this study proposed an integrated response surface methodology(RSM)and non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)approach to optimize the dimensional accuracy of SLM-formed GH3625 superalloy.Firstly,a model of SLM process parameters with dimensional errors in X,Y and Z directions was developed by RSM,and then the model was optimized by NSGA-Ⅱ for multi-objective optimization.The results show that the model constructed by RSM has high prediction accuracy,and the correlation coefficients R2 are 0.9456,0.9842,and 0.9704 in order.The optimization algorithm is able to obtain the optimal interval of the processing parameters at 1500 iterations:the laser power is 250.8-310 W,the scanning speed is 1028-1400 mm/s,the hatching space is 0.071-0.084 mm.The experimental validation results show the high reliability of the integrated method with ARE of 5.95％,4.92％and 3.97％for dimensional errors in X,Y and Z directions,respectively.
关键词
选区激光熔化/GH3625高温合金/尺寸精度/响应面法/非支配排序遗传算法-ⅡKey words
selective laser melting/GH3625 superalloy/dimensional accuracy/response surface methodology/non-dominated sorting genetic algorithm-Ⅱ引用本文复制引用
基金项目
江西省自然科学基金(20232BAB214001)
江西省研究生创新专项资金(YC2022-s720)
出版年
2024
NETL
NSTL
万方数据