Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

DETERMINATION OF STRUT QUALITY FACTORS IN ADDITIVELY MANUFACTURED LATTICES USING IN-SITU COMPRESSION TESTING µ-CT

Conference ·
OSTI ID:2406390
 [1];  [1];  [2];  [1]
  1. Savannah River National Laboratory (SRNL), Aiken, SC (United States)
  2. Savannah River Nuclear Solutions (SRNS), Aiken, SC (United States)
In response to the need for an automated, commercial method to qualify additively manufactured (AM) lattice components, an experiment was conducted to evaluate the effects of defective lattice struts on the structural compression strength. Lattice samples with known defective or missing struts were compressed using a Deben CT5000RT and imaged using xray µ-CT. The compressive force and x-ray computed tomography results were compared to defect free standards to evaluate the impact of each defect type on the overall structure’s compressive strength. This analysis will allow for simplifications to Finite Element Analysis (FEA) on AM parts without sacrificing model fidelity. Understanding the contribution of each defect type and severity will also better inform non-destructive evaluation (NDE) personnel of the inspection parameters necessary to detect the smallest feature of importance.
Research Organization:
Savannah River National Laboratory (SRNL), Aiken, SC (United States)
Sponsoring Organization:
USDOE Office of Environmental Management (EM)
DOE Contract Number:
89303321CEM000080
OSTI ID:
2406390
Report Number(s):
SRNL-STI-2024-00077
Country of Publication:
United States
Language:
English

Similar Records

Structural-mode instability can lead to unexpected strut failure
Journal Article · Wed May 01 00:00:00 EDT 1996 · Power Engineering (Barrington) · OSTI ID:250776

Effect of Vertical Strut Arrangements on Compression Characteristics of 3D Printed Polymer Lattice Structures: Experimental and Computational Study
Journal Article · Thu Feb 14 23:00:00 EST 2019 · Journal of Materials Engineering and Performance · OSTI ID:22970980

DEFECT DETECTION USING DYNAMIC ANALYSIS FOR ADDITIVE MANUFACTURED METALS
Thesis/Dissertation · Fri Apr 01 00:00:00 EDT 2022 · OSTI ID:1863795

Related Subjects