Crack Control in Additive Manufacturing by Leveraging Process Parameters and Lattice Design

This study investigates the design of additive manufacturing for controlled crack propagation using process parameters and lattice structures. We examine two lattice types-octet-truss (OT) and diamond (DM)-fabricated via powder bed fusion with Ti-6Al-4V. Lattice structures are designed with varying densities (10%, 30%, and 50%) and process using two different laser energies. Using additive-manufactured specimens, Charpy impact tests are conducted to evaluate the fracture behavior and impact energy levels of the specimens. Results show that the type of the lattice structures, the density of the lattice structures, and laser energy significantly influence crack propagation patterns and impact energy. OT exhibits straighter crack paths, while DM demonstrates more random fracture patterns. Higher-density lattices and increased laser energy generally improve the impact energy. DM consistently outperformed OT in the impact energy for angle specimens, while OT showed superior performance in stair specimens. Finally, a case study demonstrates the potential for combining OT and DM structures to guide crack propagation along predetermined paths, offering a novel approach to protect critical components during product failure.

Authors

Institutions

Publication Details

Journal
Micromachines
Published
2024-11-10
DOI
https://doi.org/10.3390/mi15111361
Citations
1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crack Control in Additive Manufacturing by Leveraging Process Parameters and Lattice Design

Jeongho Yang, Seong Je Park, Jiyong Park, Seung Ki Moon et al.
1 citations
Micromachines
Additive Manufacturing and 3D Printing Technologies
0.20
article

Crack Control in Additive Manufacturing by Leveraging Process Parameters and Lattice Design

Jeongho Yang, Seong Je Park, Jiyong Park, Seung Ki Moon, Jun Hak Lee
article en
1 citations

Abstract

This study investigates the design of additive manufacturing for controlled crack propagation using process parameters and lattice structures. We examine two lattice types-octet-truss (OT) and diamond (DM)-fabricated via powder bed fusion with Ti-6Al-4V. Lattice structures are designed with varying densities (10%, 30%, and 50%) and process using two different laser energies. Using additive-manufactured specimens, Charpy impact tests are conducted to evaluate the fracture behavior and impact energy levels of the specimens. Results show that the type of the lattice structures, the density of the lattice structures, and laser energy significantly influence crack propagation patterns and impact energy. OT exhibits straighter crack paths, while DM demonstrates more random fracture patterns. Higher-density lattices and increased laser energy generally improve the impact energy. DM consistently outperformed OT in the impact energy for angle specimens, while OT showed superior performance in stair specimens. Finally, a case study demonstrates the potential for combining OT and DM structures to guide crack propagation along predetermined paths, offering a novel approach to protect critical components during product failure.

MicromachinesVol. 15(11)
Nanyang Technological University (SG), Korea University of Science and Technology (KR), Korea Institute of Industrial Technology (KR)
Korea Institute of Industrial Technology
Affordable and clean energy
Openalex Percentile: Top 48%
Additive Manufacturing and 3D Printing Technologies
0.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.