Additive manufacturing-oriented multiphase material thermal coupling topological optimization design method

Abstract

The invention belongs to the field of material structure optimization design, and particularly discloses an additive manufacturing-oriented multiphase material thermal coupling topological optimization design method. The method comprises the following steps: 1, dispersing a multiphase material structure into a plurality of macroscopic units; according to the material type of each macroscopic unitand determination of whether material filling exists or not, carrying out interpolation on the Young modulus and the thermodynamic coefficient of the multiphase material structure, and establishing amultiphase material topological optimization model which takes the minimization of the flexibility of the multiphase material structure as an objective function and takes the upper limit of the use amount of each solid material forming the multiphase material structure as a design constraint; performing sensitivity analysis on the design variables of the topological optimization model, and iteratively updating the design variables in the macroscale and the microscale, so that an optimal result with a clear boundary is obtained. According to the method, clear boundaries exist between differentmaterials, a supporting structure is omitted in the additive manufacturing process, and the manufacturability of the optimized structure and the adaptability to the thermal working condition are improved.

Description

technical field [0001] The invention belongs to the field of material structure optimization design, and more specifically relates to a multi-phase material thermal coupling topology optimization design method for additive manufacturing. Background technique [0002] Topology optimization is to optimize the distribution of materials in a given design domain and certain boundary conditions through mathematical modeling and optimization algorithms, so as to achieve the improvement of structural performance. This method can automatically generate structural topological configurations (such as hole Quantity, location and connectivity), get rid of the disadvantages of empirical design, and can give full play to the performance of materials and structures. The thermoelastic problem is a thermomechanical weakly coupled problem, that is, the temperature field will affect the force field, but the force field will not affect the temperature field. Multiphase material structural forms...

AI Technical Summary

Problems solved by technology

[0003] The existing thermal-mechanical coupled topology optimization methods for multiphase materials have the following problems: 1) In thermoelastic problems, the thermal load is different from the mechanical load, which is affected by the material distribution and belongs to the design-dependent load, so it is necessary to analyze the thermal load Perform reasonable material interpolation

At the same time, the existing thermal-mechanical coupling topology optimization methods seldom use the temperature distribution in the additive manufacturing process as the thermal load for structural optimization.

2) The topology optimization results based on the variable density method are prone to intermediate density units and checkerboard configurations, so it is impossible to obtain clear structural boundaries or interference between any two materials, making the structure unable to be directly used for manufacturing

3) The research on self-supporting methods for additive manufacturing structures is limited to the adjustment of the inclination angle of the overhanging part, which is an empirical post-processing method, which needs to modify the optimal structural form after topology optimization, thus affecting the structural performance

[0004] Therefore, it is urgent to propose a multi-phase material thermal-mechanical coupling topology optimization design method for additive manufacturing in this field to solve the problems of insufficient consideration of thermal load, interference between two materials, and self-supporting limitations in the prior art.

Images