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Published on: January 11, 2019
Design and Fabrication of Random Metal Foam Structures for Laser Powder Bed Fusion
Nicola Contuzzi1, Sabina Luisa Campanelli2, Fabrizia Caiazzo3
1Dip. di Meccanica, Matematica e Management-Politecnico di Bari, Viale Japigia 182, 70126 Bari (BA), Italy. nicola.contuzzi@poliba.it.
This study introduces a design method for additive manufacturing (DfAM) to create metal random foam structures with interconnected porosity. The developed algorithm was validated through laser powder bed fusion (LPBF) manufacturing, enabling algorithm refinement.
Area of Science:
- Materials Science
- Mechanical Engineering
- Additive Manufacturing
Background:
- Additive manufacturing enables novel lightweight structures like random foams.
- Complex part geometries in additive manufacturing can lead to defects or process failure.
- Design stage interventions are crucial for successful fabrication of intricate structures.
Purpose of the Study:
- To propose a design for additive manufacturing (DfAM) method for creating metal random foam structures.
- To develop a procedure for generating interconnected porosity based on target density and technical requirements.
- To optimize and mesh the geometry for additive manufacturing.
Main Methods:
- A procedure was developed to generate random foam structures with interconnected porosity.
- The design process incorporated aimed fractional density and technical specifications.
- Geometry optimization and meshing were performed.
- A test article was manufactured using laser powder bed fusion (LPBF).
Main Results:
- A metal cylinder with random spherical pores (1-6 mm diameter) and 40 ± 2% fractional density was successfully fabricated.
- The manufacturing process provided crucial data for algorithm refinement.
- The proposed DfAM method facilitates the creation of complex random foam structures.
Conclusions:
- The developed DfAM method is effective for producing metal random foam structures with controlled porosity.
- Validation through LPBF manufacturing confirmed the algorithm's viability and provided insights for improvement.
- This approach addresses challenges in fabricating complex lightweight structures via additive manufacturing.
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