Title: Multi-Defect Detection in Additively Manufactured Lattice Structures Using 3D Electrical Resistance Tomography

Abstract

Cellular lattice structures possess high strength-to-weight ratios suitable for advanced lightweight engineering applications. However, their quality and mechanical performance can degrade because of defects introduced during manufacturing or in-service. Their complexity and small length scale features make defects difficult to detect using conventional nondestructive evaluation methods. Here we propose a current injection-based method, electrical resistance tomography (ERT), that can be used to detect damaged struts in conductive cellular lattice structures with their intrinsic electromechanical properties. The reconstructed conductivity distributions from ERT can reveal the severity and location of damaged struts without having to probe each strut. However, the low central sensitivity of ERT may result in image artifacts and inaccurate localization of damaged struts. To address this issue, this study introduces an absolute, high throughput, conductivity reconstruction algorithm for 3D ERT. The algorithm incorporates a strut-based normalized sensitivity map to compensate for lower interior sensitivity and suppresses reconstruction artifacts. Numerical simulations and experiments on fabricated representative cellular lattice structures were performed to verify the ability of ERT to quantitatively identify single and multiple damaged struts. The improved performance of this method compared with classical ERT was observed, based on greatly decreased imaging and reconstructed value errors.

Authors:

Shu, Yening ;

• Search DOE PAGES for author "Shu, Yening"
• Search DOE PAGES for ORCID "0000-0003-2615-0827"

Mukherjee, Saptarshi; Chang, Tammy; Gilmore, Abigail; Tringe, Joseph W.; Stobbe, David M.; Loh, Kenneth J.

• Search DOE PAGES for author "Loh, Kenneth J."
• Search DOE PAGES for ORCID "0000-0003-1448-6251"

Publication Date:

Fri Nov 25 00:00:00 EST 2022

Research Org.:

Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Org.:

USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:

1900084

Alternate Identifier(s):

OSTI ID: 2229611

Report Number(s):

LLNL-JRNL-826498
Journal ID: ISSN 1424-8220; SENSC9; PII: s22239167

Grant/Contract Number:  

AC52-07NA27344; 19-ENG-008; LLNL-JRNL-826498

Resource Type:

Published Article

Journal Name:

Sensors

Additional Journal Information:

Journal Name: Sensors Journal Volume: 22 Journal Issue: 23; Journal ID: ISSN 1424-8220

Publisher:

MDPI AG

Country of Publication:

Switzerland

Language:

English

Subject:

42 ENGINEERING; 36 MATERIALS SCIENCE; 3D printing; absolute imaging; damage identification; ERT; nondestructive evaluation; sensitivity matrix