基于GA-GRNN的AWJ强化3D打印AlSi10Mg表面性能实验研究OA北大核心CSTPCD
Experimental study on the surface properties of AWJ surface strengthening 3D printed AlSi10Mg based on GA-GRNN
为提高磨料水射流(Abrasive Water Jet,AWJ)强化工艺对3D打印AlSi10Mg表面性能的强化效果预测的准确性及高效性,首先开展磨料水射流强化AlSi10Mg表面强化实验;然后分别以表面硬度和表面残余应力作为目标,基于遗传算法-广义回归神经网络(Genetic Algorithm-Generalized Ragression Neural Network,GA-GRNN)对实验数据样本进行训练,建立3D打印AlSi10Mg表面性…查看全部>>
Order to improve the accuracy and efficiency of the prediction of the strengthening effect of Abrasive Water Jet(AWJ)strengthening process on the surface properties of 3D printed AlSi10Mg materials,firstly,the surface strengthening exper-iment of AlSi10Mg material strengthened by abrasive waterjet was carried out.Then,based on the GA-GRNN neural network,the experimental data samples were trained with the surface hardness and surface residual stress as the ta…查看全部>>
张苗苗;侯荣国;吕哲;王龙庆;石广行;王中庆
山东理工大学机械工程学院,淄博 255000山东理工大学机械工程学院,淄博 255000||山东省精密制造与特种加工重点实验室,淄博 255000山东理工大学机械工程学院,淄博 255000山东理工大学机械工程学院,淄博 255000山东理工大学机械工程学院,淄博 255000山东理工大学机械工程学院,淄博 255000
金属材料
磨料水射流3D打印的AlSi10Mg表面强化GA-GRNN神经网络遗传算法
Abrasive Water Jet(AWJ)3D printed AlSi10Mgsurface strengthenGA-GRNN neural networkgenetic algorithm
《现代制造工程》 2024 (7)
35-41,7
山东省自然科学基金项目(ZR2020ME154)
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