The orthogonal experiment of heat treatment process was designed for 2524aluminum alloy. Combined with the conductivity testing

range analysis and variance analysis of orthogonal experiment were carried out.The process was optimized by artificial BP neural network model

and the desirable heat treatment parameters of aluminum alloy were presented as follows:solid solution treatment at 515 ℃for 11h

and aging treatment at 185℃for 5h.The results indicate that

this model can better reflect the relationship between heat treatment process parameters and electric conductivity of aluminum alloy

and the maximum relative error of BP network forecasting is 2.19%

showing a higher prediction accuracy.