A method combining ANN(artificial neural networks) with COA(colony optimization algorithms) to optimize heat treatment process parameters of 91 heat resistant steel tube was put forward,taking four main heat treatment process parameters as optimizing parameters,and five kinds of mechanical properties function indexes of material as optimizing objective.

Electrolytically activated hot-dip and diffusion-treated aluminizing layers on the CrNiNRE austenitic heat-resistant steel;

Oxidation resistant property of austenite heat-resistant steel replacing Ni by Mn and N;

Valence electron theory analysis of service temperature of low alloy heat-resistant steel in common use;

Determination of larson-miller parameter for 15CrMo heat resistant steel and its application;

Determination and verification of Larson-Miller parameter for pearlitic heat resistant steel 12Cr1MoV;

Investigation on the microstructure of Fe-0.06C-12Cr-1.9W-0.5Mo-3.0Co-VNbN heat resistant steel;