An optimal design method for water-lubricated thrust bearings with tilting pads made of resin-based composite materials for nuclear main pumps

Abstract

The invention relates to a nuclear main pump resin-based composite material tilting pad water lubrication thrust bearing optimized design method. The method is characterized in that the geometric dimension of the tilting pad and the thickness of a cylindrical tile surface serve as design variables, the bearing capacity and power loss of a bearing serve as optimization problems of an objective function, an initial sample point of the design variables is determined through sampling, and an elastohydrodynamic lubrication model simulating the coupling effect of interface slippage, water film cavitation and tile surface deformation is established; a Reynolds equation corrected by an ultimate shear stress model is converted into a linear complementary problem through a parameter quadratic programming algorithm, and the linear complementary problem and a solid elastic deformation equation are subjected to iterative solution to obtain the sample point of the design variables and a target function value data set corresponding to the sample point; a Kriging agent model algorithm is used, and accordingly to an optimization point adding rule criterion and iteration ending conditions, multi-objective optimization of the inner diameter, outer diameter and warp angle of a tilting pad slippage of the thrust bearing, the thickness of the tile surface and the like is finally achieved. The methodhas the advantage that high bearing capacity and the low power loss of the large low-elasticity-modulus material tilting pad thrust bearing are achieved.

Description

technical field [0001] The invention relates to an optimal design method for a tilting pad water-lubricated thrust bearing of a resin-based composite material of a nuclear main pump, belonging to the field of nuclear power equipment design and manufacture. Background technique [0002] The nuclear main pump is the equipment that drives the circulation of the high temperature and high pressure working medium in the nuclear island, transfers the thermal energy of the nuclear fission of the reactor core to the steam generator to generate steam, and drives the steam turbine to generate electricity. As the functional part of the nuclear main pump for long-term continuous load support and high-speed rotation, the performance of the thrust bearing directly determines the service life, safety and reliability of the nuclear main pump. The large-scale grid-connected power generation of large-scale advanced pressurized water reactor nuclear power plants puts forward higher and higher m...

AI Technical Summary

Problems solved by technology

[0009] The purpose and task of the present invention are: to overcome the existence of the optimization design method of the existing nuclear main pump water lubricated thrust bearing: ① only consider the effects of interface slippage and tile surface deformation on the bearing capacity and power loss respectively, and do not involve large size , high speed, heavy load, and low elastic modulus of tile surface materials caused by interface slip, water film cavitation and coupling effect of tile surface deformation; ②The existing elastohydrodynamic lubrication model uses the slip length model to simulate the thrust bearing interface The slip effect, the large surface shear stress and the high shear rate lead to the analysis results of the slip length of the constant treatment not consistent with the experiment, and the superseded ultimate shear stress model solves the problem of determining the slip length, but the boundary is undetermined. Non-linearity also brings difficulties in the calculation of the two-dimensional elastohydrodynamic lubrication model of the thrust bearing water film; ③ the existing bearing optimization design methods rely more on design experience, and the rational design method is mainly based on the gradient optimization algorithm, which needs to calculate the derivative of the objective function , for large-scale problems, the amount of calculation is large, and it is only effective for convex problems. Based on optimization design methods such as gradient optimization algorithms, it is difficult to solve the problem of the elastohydrodynamic lubrication model that simulates interface slip, liquid film cavitation, and tile surface deformation coupling.

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