The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 24, 2024

Filed:

Apr. 25, 2024
Applicant:

Beijing Institute of Technology, Beijing, CN;

Inventors:

Weidong Song, Beijing, CN;

Lijun Xiao, Beijing, CN;

Genzhu Feng, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B29C 64/386 (2017.01); B33Y 50/00 (2015.01);
U.S. Cl.
CPC ...
B29C 64/386 (2017.08); B33Y 50/00 (2014.12);
Abstract

Disclosed is a method for designing a gradient minimal surface structure based on a surface density distribution. The method comprises initializing pending parameters of a two-dimensional surface equation and a minimal surface equation in a system; generating a plurality of pending parameter sets based on initial values and preset ranges of the pending parameters of the two-dimensional surface equation and the minimal surface equation using a CSPRNG; establishing a plurality sets of two-dimensional surface equations and a plurality sets of minimal surface equations; establishing a plurality of gradient structure equations; generating a plurality of three-dimensional models of minimal surface structures; making a plurality of gradient structure specimens by an additive manufacturing technique; obtaining a plurality sets of structure stress-strain curves and force-displacement curves by performing a test; calculating a platform stress and an energy absorption of the plurality of gradient structure specimens; and determining target structure types to realize an optimized design of the gradient minimal surface structure based on the surface density. The mechanical response stability and the energy absorption performance of the minimal surface structures can be improved.


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