A newly-developed computational platform simulates the complex dynamics of materials melting upon contact with lasers, enabling more robust manufacturing practices.
Materials engineers discover a safer and stronger ‘glue’ for 3D printing metal structures.
By leveraging an alternative approach to 3D printing, A*STAR scientists have demonstrated the superior energy absorption of honeycomb-shaped functionally graded materials.
Scientists have developed a faster, more energy-efficient method for 3D printing magnesium alloys, creating new opportunities for biomedical applications.
A machine learning method that finds defects or dimensional deviation on 3D-printed surfaces ‘on-the-fly’ is paving the way for smart, fully automated systems.
New research shows that titanium alloys joined by 3D-printed curved interlayers are stronger and less likely to crack.
Artificial neural networks are now being used to make 3D-printed metal structures more accurately—and stronger—than ever before.
A*STAR researchers have discovered that thin-walled metallic parts built via additive manufacturing are weaker than expected, initiating a search for solutions
Customizing the size, shape and orientation of 3D-printed lattices can make structures stronger while requiring less material.
Hierarchical microstructure improves the performance of metallic material
Computerized design reveals how honeycomb-like frameworks
with unusual rippled shapes can produce buckle-resistant architectures