Abstract: A method of predicting joining strength of joined dissimilar materials, includes performing a joining strength test on a plurality of specimens of joined dissimilar materials each having different joining information, and acquiring force-displacement data on a basis of the joining information; constructing, in a prediction system, an artificial neural network model for predicting the force-displacement data and the joining strengths from the joining information; learning the artificial neural network model by inputting the force-displacement data to the prediction system, the force-displacement data obtained through the joining strength test; inputting joining information to be predicted to the prediction system by using a computer running a software for performing prediction for the joining strength and connected to a host computer of the prediction system through a network; and predicting, by the learned artificial neural network model, force-displacement value and joining strength.

Abstract: A method of recovering a vehicle panel using a shape memory polymer, may include: applying an impact load to a panel of a shape memory polymer material at a temperature equal to or lower than a glass transition temperature; removing the impact load from the panel; providing a high-temperature environment at the glass transition temperature or greater than the glass transition temperature to the panel; and cooling the panel to room temperature.

Abstract: A method of predicting joining strength of joined dissimilar materials, includes performing a joining strength test on a plurality of specimens of joined dissimilar materials each having different joining information, and acquiring force-displacement data on a basis of the joining information; constructing, in a prediction system, an artificial neural network model for predicting the force-displacement data and the joining strengths from the joining information; learning the artificial neural network model by inputting the force-displacement data to the prediction system, the force-displacement data obtained through the joining strength test; inputting joining information to be predicted to the prediction system by using a computer running a software for performing prediction for the joining strength and connected to a host computer of the prediction system through a network; and predicting, by the learned artificial neural network model, force-displacement value and joining strength.