To verify the working performance of the energy absorption device, CAE simulation software is used to simulate the working process of the energy absorption device. Firstly, the three-dimensional modeling software is used to establish the three-dimensional model of the energy absorption device, and then grid division software is used to divide the established three-dimensional model. Finally, the simulation calculation is carried out in the CAE simulation software. The results show that the speed of the high-speed stone with a diameter of 110mm is reduced from 22.3m/s to 10.2m/s under the action of the energy absorption device, and its energy is reduced by 81.5%. The working effect of the energy absorption device meets the expected requirements. This study provides a great reference value for the design of energy absorption devices.
Aiming at the high flow water supply and drainage trucks working in complex environments, designed a retractable frame. Creo was used to parameterize the model of the retractable frame, Adams was used to analyze the dangerous conditions and loads, and Ansys was used to study its strength and deformation. Based on achieving the function of the retractable frame, it is required to be light in mass and high in stiffness. Therefore, the structure is improved, and then the maximum bending and static torsional deformation and minimum mass of the frame are used as the optimization objectives. The multi-objective optimization is carried out using the genetic algorithm MOGA based on the optimal filling space OSF design experiment and the establishment of the Kriging response surface model. Select the optimal solution for rounding and re-verify. The results show that the maximum bending deformation of the optimized structure is reduced by 15.2%, the torsional deformation is reduced by 29.7%, the mass is reduced by 4.6%, the safety factor is increased, and the overall structural stiffness of the retractable frame is significantly improved.
To solve the problem of frequent cracks in the air-cooled engine exhaust hood of a fire fighting robot, the structure parameters are optimized based on Beam element.Firstly,the finite element model of the exhaust hood is analyzed for pre-stress modal analysis, compared with the choice of Beam unit to simulate the bolted connection, and the RSM is used to optimize it.Secondly, the sample points are generated by Latin hypercube sampling, and the Kriging response surface model with good fitting is constructed. The sensitivity analysis is used to screen the targeted parameters, and the response surface optimization model with the total deformation, mass and first natural frequency as the target is established.Finally, MOGA is used to optimize the exhaust hood, and the optimal results are rounded and verified.The results show that the total deformation of the optimized exhaust hood is reduced by 7.18 %, the mass is reduced by 4.68 %, and the first natural frequency is increased by 74.98 %.The stiffness of the exhaust hood increases, which avoids the resonance interval. The application of Beam element effectively improves the simulation efficiency and provides a reference for the structural optimization of bolted connections.
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