A new ultra-strong, ductile aluminium alloy overcomes the long-standing problem of cracking, opening up new possibilities for 3D printing high-strength aluminium aerospace components.
New equations and methodology enable the uncertainty of porosity measurements to be evaluated in additively manufactured metals for safer, high-quality components.
Researchers develop a faster, more efficient one-step method to uncover new advanced alloys for additive manufacturing.
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