Numerical-simulation-based cover panel forming for TRIP steel plates cars

In the forming process for a car's inner hood made of a new type of high-strength steel,i.e.TRIP,the nonlinear mapping between forming process parameters and qualities is first established via BP neural network.Then,the optimal process parameters are obtained based on a multi-objective genetic algorithm,i.e.NSGA-II.Next,the finite element numerical simulation is applied for verification.Finally,it is found that the optimal process parameters can be acquired by integrating aforementioned techniques.As such,this approach is proven feasible to form large car cover panels using TRIP.