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Enhanced prediction of mechanical properties in interwoven 3D-printed structures by integrating finite element analysis and design of experiments

delete2025-12-31
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PRE
AI
A
Ahmed El-Sherbiny
Y
Yun-Fei Fu
S
Shirin Dehgahi
P
Pierre Mertiny *
A
Ahmed Jawad Qureshi
DOI:10.1080/20550340.2025.2497575delete
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Abstract

Abstract

En 中文
Representative volume element (RVE) models have been widely used to study the influence of additive manufacturing parameters on the mechanical properties of 3D-printed components. However, prior work primarily focused on simple infill patterns, often neglecting the complexities of interwoven geometries. This study introduces a methodology that integrates finite element analysis (FEA) with a statistical approach to predict the mechanical properties of novel interwoven structures produced by the z-stitching technique. Enhanced performance characteristics are explored by strategically aligning and stitching filaments in multiple planes. The FEA approach is grounded in meso-mechanical analyses using RVEs to predict effective orthotropic properties, specifically evaluating stress-strain behavior, modulus of elasticity, and strength. Mechanical properties derived from FEA-based homogenization were validated against experimental tensile tests. The combined use of numerical modeling and statistical analysis enables an efficient, iterative design process for complex 3D-printed structures, reducing computational demands and experimental efforts.
Keywords:
Additive manufacturing
nonplanar toolpath planning
interweave 3D printing
representative volume element
finite element analysis

Journal

A
Advanced Manufacturing-Polymer & Composites Science
IF:
2.2
Papers:
17
Citations:
0

Organization

U
university of alberta
Scholars:
5.0W
Papers: 4.9W
Citations: 65
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