Yanhong WEI
材料科学技术（英）
Factors that affect weld mechanical properties of commercially pure titanium have been investigated using artificial neural networks. Input data were obtained from mechanical testing of single-pass, autogenous welds, and neural network models were used to predict the ultimate tensile strength, yield strength, elongation, reduction of area, Vickers hardness and Rockwell B hardness. The results show that both oxygen and nitrogen have the most significant effects on the strength while hydrogen has the least effect over the range investigated. Predictions of the mechanical properties are shown and agree well with those obtained using the 'oxygen equivalent' (OE) equations.
关键词:
Commercially pure titanium
,
null
,
null
,
null
Yanhong WEI
,
Yingchun ZHANG
,
Renpei LIU
,
Zujie DONG
材料科学技术（英）
A computer-aided system for simulating weld solidification crack has been developed by which a welding engineer can carry out the welding solidification crack simulation on the basis of a commercial finite element analysis software package. Its main functions include calculating the heat generations of the moving are, mesh generation, calculating stress-strain distributions with element rebirth technique.
关键词:
