To simulate the deformations of the strip peen formed plate more realistic, and using low computational resources, a strategy combining analytical and finite element methods is proposed in this article. First, the internal stresses in the target induced by single shot impact are calculated with expanding cavity model. Second, the stress field of single shot impact is used to derive the stress field of multiple shot impacts by considering the overlaps of adjacent shot impacts. Third, the calculated stress field is introduced to the finite element model to obtain the resultant shape of the plate. The shot dimple distribution in reality is detected and fitted with normal distribution function. The random distribution of the positions of shot impacts is involved in the simulation to make the simulation more realistic. In the finite element model, the plate is modeled with shell element to reduce the demand of the computational resources. The simulated shapes of the plate under different peen forming parameters are compared with the scanned three-dimensional experimental shapes with the same forming parameters. The comparison shows that the simulated shapes are in good agreement with the experiments.
1 May 2020 in Journal of Materials Engineering and Performance
Screw conveyors are widely used in the transportation of various media in the industry because of their simple structure and low cost. However, some special powders are prone to accumulation during transportation due to their low density, large angle of repose, and poor fluidity, resulting in low transportation accuracy and unable to meet actual working conditions. In this paper, the discrete element method is used to simulate and analyze the powder transportation. The three-dimensional model of the screw conveyor is established and imported into the EDEM software for simulation simulation. The key parameters of the screw conveyor are screw inner diameter, pitch and speed as design variables. Hand in the experiment, and get the optimal solution of the variable parameters through the experimental results.