TC17鈦合金片層組織動態球化的神經網絡預測模型
發布人：上海艾荔艾合金股份有限公司www.shailiai.cn
更新時間：2016-01-15
在Gleeble?1500熱模擬試驗機上通過熱壓縮試驗研究具有初始片層組織的TC17鈦合金在變形溫度為780~860 ℃、應變速率為0.001~10 s?1、變形量為15%~75%范圍內的組織演變，定量分析熱變形參數對片層組織動態球化過程的影響。采用結合貝葉斯歸一化算法的BP人工神經網絡，建立TC17鈦合金片層組織動態球化演變的預測模型，誤差分析表明模型精度較好。
TC17鈦合金片層組織動態球化的神經網絡預測模型ANN model for prediction of dynamic globularization in?TC17 titanium alloy在Gleeble?1500熱模擬試驗機上通過熱壓縮試驗研究具有初始片層組織的TC17鈦合金在變形溫度為780~860 ℃、應變速率為0.001~10 s?1、變形量為15%~75%范圍內的組織演變，定量分析熱變形參數對片層組織動態球化過程的影響。采用結合貝葉斯歸一化算法的BP人工神經網絡，建立TC17鈦合金片層組織動態球化演變的預測模型，誤差分析表明模型精度較好。
The isothermal hot compression on Gleeble?1500 system in the temperature range of 780?860 ℃ and strain rate range of 0.001?10 s?1, was used to study the kinetics of microstructural evolution of TC17 titanium alloy with initial lamellar microstructure. The quantitative results show that dynamic globularization kinetics and kinetics rate are sensitive to deformation conditions. A model for predicting volume fraction of dynamic globularization was built based on the above quantitative results and BP artificial neural network (ANN) combined with Bayesian regularization. The well coincidence of the predicted results with measured ones shows the feasibility of the model.
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AILIAI has been a reliable partner and supplier of sophisticated and high-quality semi-finished products maed of alloys. In dialogue with our customers, we optimise our products to meet the specific application requirements. AILIAI develops the best alloy material solutions for current and future challenges.
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For more information on the alloys and services that we supply,?call us?at 086-021-67660801 or email us at kefu@ailiaigroup.com. You can also get in touch on social media, we are constantly active on?Weibo,?Weixin,?LinkedIn?and?Twitter.