Ultra-strong 2-manifold panels based on biomimetic inspired, algorithmically optimized structures

US11220059B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11220059-B2
Application numberUS-201815882436-A
CountryUS
Kind codeB2
Filing dateJan 29, 2018
Priority dateJan 29, 2018
Publication dateJan 11, 2022
Grant dateJan 11, 2022

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Abstract

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2-manifold structures are structures having continuously curvilinear surfaces, with no kinks or sharp angles. Methods for building strong, lightweight 2-manifold structures include a computer implemented strength optimization process. The computer implemented process includes a structure optimization sub-routine in which a plurality of rod-like members, constituting an irregular scaffold, is constrained into a volume corresponding to the 2-manifold structure. The strength of the irregular scaffold is then optimized by application of an algorithm that maximizes strength as a function of variations in the ratio of the largest macroscopic dimension of the panel to the average length of the members; the aspect ratio of the members (diameter divided by length); the average or maximum number of times a member can contact another member; and the distribution of member lengths. Strength maximization can be simultaneous to minimization of total length of the members. The process can includes additional compositional and structural optimizations, prior to fabrication of the irregular scaffold, and encasing of the scaffold in a shell, or infiltration of the scaffold with a matrix material.

First claim

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What is claimed is: 1. A method for building a structure having a high specific strength, the method comprising: performing a computer implemented process for optimizing strength of the structure, the process comprising: defining a 2-manifold surface that is continuously curvilinear, the 2-manifold surface enclosing a containment volume; providing a database of irregular scaffolds, each irregular scaffold formed of a plurality of rod-like members constrained within the containment volume, the irregular scaffolds of the database comprising variations of at least the following variable structural parameters: γ: a ratio of a largest macroscopic dimension of the structure to an average length of the members; ρ: an average aspect ratio of the members; χ: a value selected from the group comprising: an average number of times a member can contact another member; and a maximum number of times a member can contact another member; and a distribution of member lengths, defining a load to be applied to individual irregular scaffolds in the database; applying an algorithm, configured to calculate deflection of the structure in response to the load, to at least a subset of the database; selecting an irregular scaffold on the basis of calculated deflection; fabricating the selected irregular scaffold; and encasing the fabricated irregular scaffold in an encapsulating shell. 2. The method as recited in claim 1 , wherein the step of selecting an irregular scaffold comprises selecting an irregular scaffold having a minimum ratio of deflection to total member length. 3. The method as recited in claim 1 , wherein the irregular scaffolds of the database include at least one compositional parameter having a fixed value, the at least one compositional parameter selected from the group consisting of: Young's modulus; shear modulus; bulk modulus; friction coefficient; strain hardening exponent; yield strength; and density. 4. The method as recited in claim 3 , wherein the computer implemented process for optimizing strength of the structure further includes a composition optimization sub-routine comprising: applying a composition optimization algorithm to the irregular scaffold, the algorithm having a variable-composition strength maximization objective function, subject to the structural parameters held constant at optimized values, and subject to the at least one compositional parameter as a variable, wherein applying the composition optimization algorithm produces composition-optimized values for the at least one compositional parameter. 5. The method as recited in claim 4 , wherein the computer implemented process for optimizing strength of the structure further comprises: re-applying the algorithm to each irregular scaffold of the database or subset thereof, the algorithm subject to the at least one compositional parameter held constant at the respective composition-optimized value. 6. The method as recited in claim 1 , wherein the step of fabricating the irregular scaffold is performed by 3D printing. 7. The method as recited in claim 1 , wherein encasing comprises wrapping one or more preformed sheets around the irregular scaffold. 8. A method for building a structure formed of a composite material, the method comprising: performing a computer implemented process for optimizing strength of the structure, the process including a structure optimization sub-routine comprising: providing a database of irregular scaffolds, each irregular scaffold formed of a plurality of rod-like members constrained within a containment volume, the irregular scaffolds of the database comprising variations of at least the following variable structural parameters: γ: a ratio of a largest macroscopic dimension of the structure to an average length of the members; ρ: an average aspect ratio of the members; χ: a value selected from the group comprising: an average number of times a member can contact another member; and a maximum number of times a member can contact another member; and a distribution of member lengths, defining a load to be applied to individual irregular scaffolds in the database; applying an algorithm, configured to calculate deflection of the structure in response to the load, to at least a subset of the database; selecting an irregular scaffold on the basis of calculated deflection; fabricating the selected irregular scaffold; and infiltrating the fabricated irregular scaffold with a matrix material. 9. The method as recited in claim 8 , wherein the step of selecting the irregular scaffold comprises selecting an irregular scaffold having a minimum ratio of deflection to total member length. 10. The method as recited in claim 8 , wherein the irregular scaffolds of the database include at least one compositional parameter having a fixed value, the at least one compositional parameter selected from the group consisting of: Young's modulus; shear modulus; bulk modulus; friction coefficient; strain hardening exponent; yield strength; and density. 11. The method as recited in claim 10 , wherein the computer implemented process for optimizing strength of the structure further includes a composition optimization sub-routine comprising: applying a composition optimization algorithm to the irregular scaffold, the algorithm having a variable-composition strength maximization objective function, subject to the structural parameters held constant at optimized values, and subject to the at least one compositional parameter as a variable, wherein applying the composition optimization algorithm produces composition-optimized values for the at least one compositional parameter. 12. The method as recited in claim 11 , wherein the computer implemented process for optimizing strength of the structure further comprises: re-applying the algorithm to each irregular scaffold of the database or subset thereof, the algorithm subject to the at least one compositional parameter held constant at the respective composition-optimized value. 13. The method as recited in claim 8 , wherein the step of fabricating the irregular scaffold is performed by 3D printing. 14. The method as recited in claim 8 , wherein the step of fabricating the irregular scaffold comprises fabricating the irregular scaffold from a material selected from the group consisting of: carbon fiber, fiberglass, an aramid fiber, and basalt. 15. The method as recited in claim 8 , wherein the step of infiltrating the irregular scaffold with a matrix material comprises infiltrating the irregular scaffold with a matrix material selected from the group consisting of: an epoxy, a vinyl ester, a polyester thermosetting plastic, and a phenol formaldehyde resin. 16. A method for building a structure having a high specific strength, the method comprising: performing a computer implemented process for optimizing strength of the structure, the process comprising: defining a 2-manifold surface that is continuously curvilinear, the 2-manifold surface enclosing a containment volume; providing a database of irregular scaffolds, each irregular scaffold formed of a plurality of rod-like members constrained within the containment volume, the irregular scaffolds of the database comprising variations of at least the following variable structural parameters: γ: a ratio of a largest macroscopic dimension of the structure to an average length of the members; ρ: an average aspect ratio of the members; χ: a value selected from the group comprising: an average number of times a member can contact another member; and a maximum number of times a member can con

Assignees

Inventors

Classifications

  • B29C64/393Primary

    for controlling or regulating additive manufacturing processes · CPC title

  • Processes of additive manufacturing · CPC title

  • Processes of additive manufacturing · CPC title

  • for controlling or regulating additive manufacturing processes · CPC title

  • the inserts being meshes or lattices (B29C70/82, B29C70/683 take precedence) · CPC title

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What does patent US11220059B2 cover?
2-manifold structures are structures having continuously curvilinear surfaces, with no kinks or sharp angles. Methods for building strong, lightweight 2-manifold structures include a computer implemented strength optimization process. The computer implemented process includes a structure optimization sub-routine in which a plurality of rod-like members, constituting an irregular scaffold, is co…
Who is the assignee on this patent?
Toyota Res Inst Inc
What technology area does this patent fall under?
Primary CPC classification B29C64/393. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Jan 11 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).