Highlights

In brief

A*STAR researchers developed advanced computational models involving a crystal plasticity framework to examine how the hierarchical microstructure of additively manufactured maraging steel (known as lath martensite) influences its strength and deformation.

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Virtual forges to design stronger steels

17 Feb 2025

Advanced computer simulations make designing stronger metal alloys more efficient by revealing how their microscopic structure affects performance.

Steel, the backbone of modern manufacturing, owes its origins to a serendipitous discovery. Early blacksmiths found that heating iron with charcoal produced a much stronger alloy. Nowadays, high-strength steels can also be produced by adding other alloying elements, such as nickel. Steel remains indispensable, valued for its strength and versatility in everything from aerospace components to industrial tools.

A particularly robust variety, maraging steel, is renowned for its high strength and ductility. Its standout feature is its compatibility with additive manufacturing, making it ideal for printing intricate metal parts.

Jakub Mikula, a Senior Scientist at the A*STAR Institute of High Performance Computing (A*STAR IHPC), attributed maraging steel’s unique properties to its microstructure—a finely tuned arrangement known as lath martensite. “This hierarchical structure spans multiple scales and can be tailored by adjusting manufacturing parameters,” Mikula explained.

Understanding how these intricate patterns and layers influence strength and durability has long been a challenge. Traditional experiments often fail to isolate the effects of the steel’s complex internal features. “To analyse the microstructure-property relationship, it’s necessary to isolate and establish correlations at different length scales first and then tie them together,” said Mikula.

Together with industry partners Entegris and Proterial, an A*STAR IHPC team led by Yong-Wei Zhang, Guglielmo Vastola and Mikula tackled this problem by creating an advanced virtual model of maraging steel using computer simulations. Their work relied on crystal plasticity models and finite element simulations, which are computational tools designed to mimic how the steel deforms under stress.

“These models are perfect for capturing the hierarchical nature of laths, blocks and packets within martensite,” said Vastola. This detailed approach allowed the researchers to unravel the relationship between microstructure and maraging steel’s mechanical properties.

The team generated synthetic microstructures to replicate realistic features such as melt pool boundaries and martensitic blocks. Their simulations revealed that smaller grains and densely packed dislocations significantly enhanced strength, while the unique behaviour of non-planar dislocation cores may be responsible for steel responding differently to stretching and compression.

"Unlike experiments, our simulations allow us to isolate specific microstructural effects and uncover correlations that are often too complex to disentangle from experimental data alone,” said Mikula.

This can help manufacturers fine-tune production efficiently, boosting strength while keeping their costs in check. By embedding their tool into a digital framework, the team envisions a future where the entire manufacturing process can be simulated on a computer. This leap could sideline expensive trial-and-error approaches, paving the way for faster, more reliable materials development.

The A*STAR-affiliated researchers contributing to this research are from the A*STAR Institute of High Performance Computing (A*STAR IHPC).

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References

Mikula, J., Vastola, G. and Zhang, Y.-W. Dual-phase polycrystalline crystal plasticity model revealing the relationship between microstructural characteristics and mechanical properties in additively manufactured maraging steel. International Journal of Plasticity 180, 104058 (2024). | article

About the Researchers

Jakub Mikula is a Senior Scientist at the A*STAR Institute of High Performance Computing (A*STAR IHPC). His research focuses on finite element modelling of additive manufacturing (AM) processes and the development of novel material models for predicting the mechanical properties of AM materials. He earned his degree in Solid Mechanics from Brno University of Technology, Czech Republic, in 2015, and completed his PhD at the National University of Singapore in 2020, after which he joined A*STAR IHPC.
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Guglielmo Vastola

Principal Scientist, and Program and Project Manager

A*STAR Institute of High Performance Computing (A*STAR IHPC)
Guglielmo Vastola, PgMP®, PMP®, is a Principal Scientist, and Program and Project Manager at the A*STAR Institute of High Performance Computing (A*STAR IHPC). His research focuses on modelling and simulations of the additive manufacturing process, in particular selective laser melting and electron beam melting of metals with a focus on multiscale analysis and digital twins of the powder-bed fusion and directed energy deposition processes. He graduated in Physics in 2005 at the University of Pavia, Italy, and then obtained his PhD in Materials Science at the University of Milano-Bicocca, Italy, in 2008 followed by postdoctoral time at Brown University.
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Yong-Wei Zhang

Distinguished Principal Scientist and Distinguished Institute Fellow

A*STAR Institute of High Performance Computing (A*STAR IHPC)
Yong-Wei Zhang is a Distinguished Principal Scientist and Distinguished Institute Fellow at the A*STAR Institute of High Performance Computing (A*STAR IHPC). His research expertise lies in developing and applying multiscale modelling and simulation methods to understand material properties and provide guidance for material design, synthesis and fabrication.

This article was made for A*STAR Research by Wildtype Media Group