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
48-51
,共4页
刘敬福%范业超%梁爽%杨颖
劉敬福%範業超%樑爽%楊穎
류경복%범업초%량상%양영
ZA35合金%喷射沉积%热挤压工艺%人工神经网络
ZA35閤金%噴射沉積%熱擠壓工藝%人工神經網絡
ZA35합금%분사침적%열제압공예%인공신경망락
ZA35 alloy%spray deposition%hot extrusion process%artificial neural network(ANN)
采用人工神经网络的方法,研究了挤压比、挤压比压和挤压温度对喷射沉积ZA35合金力学特性的影响,建立了喷射沉积ZA35合金热挤压工艺的人工神经网络模型。模型的输入参数为挤压比、挤压比压和挤压温度,输出参数为合金的抗拉强度和伸长率,该模型可以预测ZA35合金在不同热挤压工艺参数下的力学特性,也可以优化热挤压工艺参数。模型结果与实验结果吻合良好,推荐喷射沉积ZA35合金热挤压工艺参数:挤压比压为430 MPa,挤压比为12,挤压温度为260℃。
採用人工神經網絡的方法,研究瞭擠壓比、擠壓比壓和擠壓溫度對噴射沉積ZA35閤金力學特性的影響,建立瞭噴射沉積ZA35閤金熱擠壓工藝的人工神經網絡模型。模型的輸入參數為擠壓比、擠壓比壓和擠壓溫度,輸齣參數為閤金的抗拉彊度和伸長率,該模型可以預測ZA35閤金在不同熱擠壓工藝參數下的力學特性,也可以優化熱擠壓工藝參數。模型結果與實驗結果吻閤良好,推薦噴射沉積ZA35閤金熱擠壓工藝參數:擠壓比壓為430 MPa,擠壓比為12,擠壓溫度為260℃。
채용인공신경망락적방법,연구료제압비、제압비압화제압온도대분사침적ZA35합금역학특성적영향,건립료분사침적ZA35합금열제압공예적인공신경망락모형。모형적수입삼수위제압비、제압비압화제압온도,수출삼수위합금적항랍강도화신장솔,해모형가이예측ZA35합금재불동열제압공예삼수하적역학특성,야가이우화열제압공예삼수。모형결과여실험결과문합량호,추천분사침적ZA35합금열제압공예삼수:제압비압위430 MPa,제압비위12,제압온도위260℃。
The effects of extrusion ratio,extrusion specific pressure and extrusion temperature on mechanical properties of spray deposited ZA35 alloy were studied by artificial neural network(ANN),and an artificial neural network model of hot extrusion process was created. The input parameters of the model are extrusion ratio,extrusion specific pressure and extrusion temperature. The outputs are ultimate tensile strength and elongation. The model can be used for the prediction of properties of ZA 35 alloy as functions of processing parameters. It can also be used for the optimization of processing parameters. The ANN results are in good agreement with experimental data,and the optimized hot extrusion processing parameters of extrusion ratio 12,extrusion specific pressure 430 MPa,extrusion temperature 260℃are recommended.