A Topology Optimization Method for Convective Heat Dissipation Structures That Can Avoid Boundary Material Attachment

Abstract

The invention discloses a topology optimization method for a convection heat dissipation structure that can avoid the attachment of boundary materials, and relates to the field of structural topology optimization design. It is characterized in that the method includes the following steps: step 1, establishing a convection heat dissipation simulation model; step 2, establishing Topological optimization model of convective heat dissipation structure; step 3, update the design variables of the topology optimization model of convective heat dissipation structure by using the moving asymptote algorithm, judge convergence, if not converged, repeat steps 2 and 3, if converged, output the optimization result. The method proposed by the present invention can accurately characterize the convective heat dissipation related to the structure boundary without establishing a fluid model, avoid the wrong application of heat convective load in the topology optimization process, and avoid the convective heat dissipation structure topology optimization based on the relative density gradient of the unit. Boundary material adhesion effects can avoid tedious and time-consuming thermo-fluid simulations.

Description

technical field [0001] The invention relates to the field of structure topology optimization design, in particular to a topology optimization method for a convection heat dissipation structure that can avoid the attachment of boundary materials. Background technique [0002] The convection heat dissipation structure is widely used in high-power, intensive electronic heating equipment such as electric vehicle batteries and supercomputing clusters. The efficient convection heat dissipation structure design can prolong the service life of the equipment and ensure its stable performance and safety, which is of great significance for the innovative design of industrial products. The structural topology optimization method is a simulation-driven structural design method, which is widely used to design lightweight structural configurations with excellent heat dissipation performance. [0003] In the research on the structural topology optimization method considering the convective...

AI Technical Summary

Problems solved by technology

[0004] Although the topology optimization method of convective heat dissipation structure based on the fluid model can accurately simulate the process of structural convection heat dissipation, the computational complexity of the thermo-fluid coupling simulation is high, and the overall optimization efficiency is low. In the early stage of the optimization process, because the structure has not yet formed, CFD simulation is prone to failure. Convergence issues, which in turn cause the overall optimization process to fail

[0005] The topology optimization method based on the unit relative density convective heat transfer coefficient model assumes that in addition to the convective heat transfer at the structure boundary, there is also convective heat transfer in some non-boundary areas within the structure, and the thermal convective load cannot be accurately applied to the structure boundary during the optimization process; The convective heat transfer coefficient interpolation model based on the relative density gradient of adjacent units can accurately apply the thermal convective load to the structure boundary during the topology optimization process, which can avoid the unsteady and non-convergent fluid simulation under the nonlinear fluid heat dissipation model, which will lead to convective heat dissipation The structural topology optimization process is aborted; however, the convective heat dissipation structure topology optimization method that uses the relative density gradient of adjacent units to describe the structure boundary is prone to boundary material adhesion effects, and the designed structure usually contains thin walls that hinder air flow at the boundary of the design domain. Severe local optimal solution, the optimization result may even have closed holes inside the structure that cannot be accessed by external fluids, resulting in wrong application of convective loads inside the holes and non-optimized design

Images