Systems and methods for the assessment of fatigue strength of cellular structures

Patent metadata

Field	Value
Publication number	US-2025086353-A1
Application number	US-202418824752-A
Country	US
Kind code	A1
Filing date	Sep 4, 2024
Priority date	Sep 7, 2023
Publication date	Mar 13, 2025
Grant date	—

Abstract

Systems and method are provided for predicting an expected mechanical property, such as fatigue strength, for a component with a cellular structure or a portion thereof. In some embodiments, a method for predicting fatigue strength includes receiving, by a control circuit, image data for a specimen to reconstruct 3D models of the specimen. The specimen includes at least one cell of a cellular structure. The method further includes determining a local stresses for the specimen via finite element analysis of the three-dimensional models. The control circuit may then determine a fatigue strength for the specimen based on the local stresses to generate a distribution function of the fatigue strength for the at least one cell of the cellular structure. The control circuit then applies statistics of extremes to the distribution function to predict an expected fatigue strength of a number of cells in the cellular structure.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
receiving image data for a specimen from an imaging device, the specimen including a plurality of cells of cellular structure as-manufactured; reconstructing a plurality of three-dimensional models of the specimen using the image data, the plurality of three-dimensional models each including a given volume of the specimen; determining local stresses for at least one of the plurality of three-dimensional models for a given applied stress via finite element analysis with periodic boundary conditions; determining a fatigue strength for the at least one of the plurality of three-dimensional models based on the local stresses to generate a probability distribution function for the given volume of the specimen; predicting an expected fatigue strength for a volume comprising a number of cells of a cellular structure by applying statistics of extremes to the probability distribution function for the given volume of the specimen; and causing a manufacturing device to form a part based on the expected fatigue strength.

2 . The computer-implemented method of claim 1 , further comprising:
identifying properties of an equivalent homogenous material representative of the cellular structure; performing an analysis of stress for a target component to generate a spatial distribution of stress on the target component, wherein a structure of the target component is substituted with the equivalent homogenous material; discretizing the target component into a plurality of subvolumes based on the spatial distribution of stress; and performing a fatigue assessment for at least some of the plurality of subvolumes by comparing a stress on a subvolume with the expected fatigue strength for the number of cells in the subvolume.

3 . The computer-implemented method of claim 2 , further comprising:
applying weakest link analysis to the plurality of subvolumes, wherein the weakest link analysis includes: determining a failure area in the target component based on the fatigue strength for the plurality of subvolumes and the stress on the plurality of subvolumes; and determining the fatigue strength for the target component based on the failure area.

4 . The computer-implemented method of claim 2 , wherein the analysis of stress for the target component is performed via a finite element analysis model of the target component that has been homogenized with the equivalent homogenous material.

5 . The computer-implemented method of claim 2 , wherein the properties are elastic properties.

6 . The computer-implemented method of claim 1 , wherein the fatigue strength is an infinite life fatigue strength.

7 . The computer-implemented method of claim 1 , wherein the cellular structure is a lattice structure.

8 . The computer-implemented method of claim 1 , further comprising:
generating a design parameter for a component including the cellular structure based on the expected fatigue strength, wherein the manufacturing device forms the part based on the design parameter.

9 . The computer-implemented method of claim 1 , further comprising:
scanning a specimen including a plurality of cells of a cellular structure using an imaging device to generate the image data, the imaging device configured to acquire images of the cellular structure.

10 . The computer-implemented method of claim 1 , wherein the specimen is manufactured via an additive manufacturing device, and wherein the imaging device is an x-ray micro computed tomography (μCT) scanner.

11 . The computer-implemented method of claim 1 , further comprising:
determining a number of cycles to failure for a target component based on the local stresses and a target number of cells in the target component.

12 . The computer-implemented method of claim 1 , wherein the image data is obtained from an x-ray micro computed tomography scanner that is configured to scan the specimen.

13 . The computer-implemented method of claim 1 , wherein the expected fatigue strength of the number of cells in the cellular structure is predicted via a formula as follows:
F T =F N (T/N) wherein T is the number of cells in the cellular structure, F T is a cumulative distribution function for the expected fatigue strength of the number of cells, N is a number of cells in each specimen, wherein N can be 1 or larger, and F N is the cumulative distribution function for the number of cells in each specimen.

14 . A system for predicting fatigue strength, the system comprising:
at least one imaging device; at least one processor in communication with the at least one imaging device; and a memory device, the memory device storing instructions that when executed by the at least one processor causes the at least one processor to perform operations, the at least one processor configured to:
receive image data for a specimen including a plurality of cells of cellular structure from the at least one imaging device;
reconstruct a plurality of three-dimensional models of the specimen using the image data, the plurality of three-dimensional models each including a given volume of the specimen;
determine local stresses for at least one of the plurality of three-dimensional models for a given applied stress via finite element analysis with periodic boundary conditions;
determine a fatigue strength for the at least one of the plurality of three-dimensional models based on the local stresses to generate a probability distribution function for the given volume of the specimen; and
predict an expected fatigue strength for a volume comprising a number of cells of a cellular structure by applying statistics of extremes to the probability distribution function for the given volume of the specimen.

15 . The system of claim 14 , wherein the at least one processor is further configured to:
identify properties of an equivalent homogenous material representative of the cellular structure; perform an analysis of stress for a target component to generate a spatial distribution of stress on the target component, wherein a structure of the target component is substituted with the equivalent homogenous material; discretize the target component into a plurality of subvolumes based on the spatial distribution of stress; and perform a fatigue assessment for at least some of the plurality of subvolumes by comparing a stress on a subvolume with the expected fatigue strength for the number of cells in the subvolume.

16 . The system of claim 14 , wherein the at least one processor is further configured to:
generate a design parameter for a component including the cellular structure based on the expected fatigue strength; and manufacture, via at least one manufacturing device in communication with the at least one processor, the component as-designed according to the design parameter.

17 . The system of claim 14 , wherein the at least one processor is further configured to transmit at least one signal to a manufacturing device, wherein the at least one signal is indicative of instructions for manufacturing a component including the cellular structure, the instructions based on the expected fatigue strength of the number of cells in the cellular structure.

18 . The system of claim 14 , wherein the system further includes at least on testing device configured to acquire a measured fatigue strength of the specimen, and wherein the at least one processor is further configured to compare the measured fatigue strength to the expected fatigue strength to de

Assignees

• Ge Avio Srl

Inventors

• Romano Simone
• Peradotto Edoardo Maria
• Stranges Cesare
• Foletti Stefano
• Gavazzoni Matteo
• Beretta Stefano

Classifications

• G06F2119/04

  Ageing analysis or optimisation against ageing · CPC title

• G06F2113/10

  Additive manufacturing, e.g. three-dimensional [3D] printing · CPC title

• G06T17/00

  Three-dimensional [3D] modelling for computer graphics · CPC title

• G06F30/23 Primary

  using finite element methods [FEM] or finite difference methods [FDM] · CPC title

• G06T2207/30108

  Industrial image inspection · CPC title