汪晴,鲁翠媛,王克鲁,等. 基于RSM和MOPSO的LPBF成形GH3230高温合金工艺参数优化[J]. 失效分析与预防,2026,21(4):305-314,366. doi: 10.3969/j.issn.1673-6214.2026.04.003
    引用本文: 汪晴,鲁翠媛,王克鲁,等. 基于RSM和MOPSO的LPBF成形GH3230高温合金工艺参数优化[J]. 失效分析与预防,2026,21(4):305-314,366. doi: 10.3969/j.issn.1673-6214.2026.04.003
    WANG Qing,LU Cuiyuan,WANG Kelu,et al. Optimization of Process Parameters for LPBF Forming GH3230 Superalloy Using RSM and MOPSO[J]. Failure analysis and prevention,2026,21(4):305-314,366. doi: 10.3969/j.issn.1673-6214.2026.04.003
    Citation: WANG Qing,LU Cuiyuan,WANG Kelu,et al. Optimization of Process Parameters for LPBF Forming GH3230 Superalloy Using RSM and MOPSO[J]. Failure analysis and prevention,2026,21(4):305-314,366. doi: 10.3969/j.issn.1673-6214.2026.04.003

    基于RSM和MOPSO的LPBF成形GH3230高温合金工艺参数优化

    Optimization of Process Parameters for LPBF Forming GH3230 Superalloy Using RSM and MOPSO

    • 摘要: GH3230高温合金因优异的高温强度与组织稳定性,在航空航天热端部件中应用广泛。为探究工艺参数对激光粉末床熔融(LPBF)成形GH3230高温合金零件质量的影响,选取激光功率、扫描速率、扫描间距、层间旋转角度作为输入变量,以粗糙度、致密度、硬度为响应值建立响应面模型,结合多目标粒子群优化(MOPSO)算法进行多目标优化得到最优工艺参数,并将预测值与实验值进行对比分析。在最优Pareto front解集中随机抽取两组工艺参数进行实验验证,粗糙度相对误差分别为0.38%和2.76%,致密度相对误差分别仅为0.08%和0.09%,硬度相对误差分别仅为0.50%和0.56%,表明所构建模型具有很高的预测精度。结果表明,采用LPBF制备GH3230高温合金,经工艺优化得到最优参数区间:激光功率为210~235 W、扫描速率为980~1158 mm/s、扫描间距为0.085~0.110 mm,层间旋转角度设置45°~72°。此研究结果可为GH3230高温合金LPBF高质量成形提供可靠依据。

       

      Abstract: GH3230 superalloy is widely used in aerospace hot-end components due to its excellent high-temperature strength and microstructural stability. To investigate the influence of process parameters on the forming quality of laser powder bed fusion (LPBF) GH3230 superalloy, a response surface model was established with laser power, scanning speed, scanning spacing, and interlayer rotation angle as the input variables, and roughness, densification, and hardness as the response values. The optimal process parameters were then obtained by multi-objective optimization of the response surface model combination utilizing the multi-objective particle swarm optimization (MOPSO) algorithm, and the predicted values were compared with the experimental values. Two sets of process parameters were systematically selected from the optimal Pareto front solution set for experimental validation. The relative errors of roughness are 0.38% and 2.76%, those for densification are only 0.08% and 0.09%, and those for hardness are only 0.50% and 0.56%, indicating that the developed model has high prediction accuracy. The results reveal that for LPBF-fabricated GH3230 superalloy, the optimal ranges of process parameters are as follows: laser power controlled within 210~235  W, scanning speed of 980~1158  mm/s, hatch spacing of 0.085~0.110  mm, and interlayer rotation angle of 45°~72°. This work provides a reliable basis for the high-quality LPBF forming of GH3230 superalloy.

       

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