连续冷却相变实验研究表明，BP模型用于全贝氏体型非调质钢的成分设计是有效的。
The relation between chemical composition of alloyed steel and its hardness under continuous cooling is built by Back Neural Network(BP) method.
在热模拟试验机上研究了控轧控冷工艺对微合金化低碳贝氏体型非调质钢组织性能的影响，并探讨了贝氏体转变机制问题。
The effect of TMCP parameters on microstructure and property was studied, and a controversial question about bainite transformation mechanism also was discussed.
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