(中國科學(xué)院上海冶金研究所， 上海 200050)
摘 要: 固相生, 成金屬間化合物的液相分層二元系在Miedema的Δφ*-Δnws1/3圖中，分布在Δφ*＞1.3的區(qū)域，然而在該區(qū)域混雜有固相沒有金屬間化合物的液相分層二元系。為了消除這種混雜現(xiàn)象，應(yīng)用擴(kuò)展的Miedema合金元胞模型研究了金屬液相分層二元系固相能否生成金屬間化合物的規(guī)律。在由原子參數(shù)Δφ*與Δnws1/3及ΔZ張成的多維空間中，上述兩類二元系各自分布在特定的區(qū)域。據(jù)此結(jié)果，以Δφ*, Δnws1/3, ΔZ， RA/RB作為人工神經(jīng)網(wǎng)絡(luò)的輸入特征量，采用誤差反向傳遞算法，利用經(jīng)已知樣本集訓(xùn)練的人工神經(jīng)網(wǎng)絡(luò)對上述二元系的會溶溫度和偏晶溫度進(jìn)行預(yù)報(bào)。預(yù)報(bào)結(jié)果與實(shí)測結(jié)果符合較好。
關(guān)鍵字: 二元合金系 液相分層 人工神經(jīng)網(wǎng)絡(luò) 會溶溫度 偏晶溫度
（Shanghai Institute of Metallurgy,Chinese Academy of Sciences, Shanghai 200050, P. R. China）
Abstract:In the Miedema's Δφ*-Δnws1/3 figure, the representative points of monotectic binary alloy system with compound-forming in solid state distribute in the region of Δφ*＞1.3, however, in the same region that of without compound-forming in solid state co-distribute. In order to eliminate the mingled phenomenon, an extended Miedema's cellular model of alloys has been applied to study the regularities of whether two metals can combine into compound or not in solid state of monotectic binary alloy systems. In the multi-dimensional space spanned by atomic parameters, Δφ*, Δnws1/3 and ΔZ, the representative points of monotectic binary alloy systems with and without compound-forming distribute in different regions separately. In addition, by using the error back-propagation and four parameters, Δφ*, Δnws1/3, ΔZ and RA/RB as the input features of an artificial neural network, the consolute temperature and monotectic equilibrium temperature of these monotectic binary alloy systems are predicted by the artificial neural network trained by known data of phase diagrams. The predicted results are in good agreement with the experimental ones.
Key words: binary alloy system monotectic system artificial neural network
consolute temperaturemonotectic equilibrium temperature
