Additive manufacturing-oriented shell and filling structure collaborative optimization design method
A design method and collaborative optimization technology, applied in design optimization/simulation, special data processing applications, geometric CAD, etc., can solve problems such as inability to meet the processing requirements of additive manufacturing, long design cycle, and large redundancy
Active Publication Date: 2021-04-23
SHANGHAI JIAO TONG UNIV
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[0006] In view of the above-mentioned defects of the prior art, the technical problem to be solved by the present invention is that the prior art has a long design cycle, large redundancy, cannot meet the processing requirements of additive manufacturing, and cannot universally solve the common shell filling structure in additive manufacturing. Topology Optimization Design Problems
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[0093] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.
[0094] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.
[0095] In the description of the embodiments of the present application, it should be clear that the terms "center", "middle", "upp...
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The invention discloses an additive manufacturing-oriented shell and filling structure collaborative optimization design method, which relates to the related field of structure optimization design, and comprises the following steps of: 1, initializing parameters; 2, constructing a parameterized model of the density and rigidity of the shell filling structure; 3, constructing an additive manufacturing suspension constraint model and a local volume constraint model; 4, constructing topological optimization modeling and determining an objective function and a constraint function; 5, solving the finite element model to obtain a design response; 6, analyzing the sensitivity of the target function and the constraint function; 7, carrying out optimization solution; 8, if the convergence condition is met, ending the process, otherwise, returning to the step 3. Through the implementation of the invention, not only can the integrated design of the shell and the filler structure be realized, but also a structure with additive manufacturing suspension-free characteristics can be obtained, and the processing can be realized directly through additive manufacturing.
Description
technical field [0001] The invention relates to the field of structure optimization design, in particular to a collaborative optimization design method for a shell and a filling structure oriented to additive manufacturing. Background technique [0002] Additive manufacturing components are usually designed into two parts, the shell and the filling structure, which can not only significantly save material consumption and improve manufacturing efficiency, but also have excellent specific stiffness, specific strength, and energy absorption performance, and are widely used in heavy-duty rockets, Major strategic equipment such as wide-body passenger planes and high-speed trains. [0003] Compared with the traditional manufacturing method, although the additive manufacturing of point-by-point layer-by-layer processing is not limited by the geometric shape of the component, additional support structures are required in the hanging area of the component to avoid suspension collap...
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IPC IPC(8): G06F30/17G06F30/23
CPCG06F30/17G06F30/23
Inventor 周明东陆宇帆刘义畅魏创
Owner SHANGHAI JIAO TONG UNIV