兵器材料科学与工程
兵器材料科學與工程
병기재료과학여공정
Ordnance Material Science and Engineering
2013年
5期
94-96,97
,共4页
M963镍基高温合金%疲劳性能%神经网络%预测
M963鎳基高溫閤金%疲勞性能%神經網絡%預測
M963얼기고온합금%피로성능%신경망락%예측
M963 Ni-based superalloy%fatigue performance%neural network%prediction
基于神经网络技术，根据M963铸造镍基高温合金疲劳试验数据，建立了高温合金疲劳性能预测模型，并进行了M963铸造镍基高温合金相关疲劳验证和分析。结果表明：从提高M963高温合金疲劳性能的角度出发，合金元素添加量（质量分数）优选为7%Cr+5%V+0.5%RE；熔体过热温度优选为1030℃；表面超音速火焰喷涂合金粉末配比优选为Cr-20Al-30V-0.5Y。
基于神經網絡技術，根據M963鑄造鎳基高溫閤金疲勞試驗數據，建立瞭高溫閤金疲勞性能預測模型，併進行瞭M963鑄造鎳基高溫閤金相關疲勞驗證和分析。結果錶明：從提高M963高溫閤金疲勞性能的角度齣髮，閤金元素添加量（質量分數）優選為7%Cr+5%V+0.5%RE；鎔體過熱溫度優選為1030℃；錶麵超音速火燄噴塗閤金粉末配比優選為Cr-20Al-30V-0.5Y。
기우신경망락기술，근거M963주조얼기고온합금피로시험수거，건립료고온합금피로성능예측모형，병진행료M963주조얼기고온합금상관피로험증화분석。결과표명：종제고M963고온합금피로성능적각도출발，합금원소첨가량（질량분수）우선위7%Cr+5%V+0.5%RE；용체과열온도우선위1030℃；표면초음속화염분도합금분말배비우선위Cr-20Al-30V-0.5Y。
According to the experimental data of fatigue test,prediction model of fatigue performance of M963 Ni-based superalloy was built by using neural network technology,and experimental validation and analysis were carried out. The results show that for improving the fatigue performance of M963 superalloy,the optimized amount of alloying elements is 7%Cr+5%V+0.5%RE;the optimized melt superheat temperature is 1 030 ℃;the optimized matching ratio of alloy powder for high-velocity oxygen fuel spraying is Cr-20Al-30V-0.5Y.
