Researchers from Japan and the USA propose a deformation reduction strategy in LPBF-based additive manufacturing involving a synergetic optimization of laser hatching orientation and lattice density distribution. Credit: Akihiro Takezawa from Waseda University, Japan

In additive manufacturing (AM), metal parts are commonly 3D-printed using a fabrication technique called "laser powder bed fusion" (LPBF). LPBF involves repeated rapid metal powder melting and solidification using a laser heat source to form a 3D object. The local high-temperature molten metal fits the surrounding solid part owing to thermal expansion.

However, the generates a negative thermal stress following solidification, which produces an in-plane . This residual stress accumulates toward the upper layer with the repetitive formation process on each layer and often leads to undesirable effects like delamination, cracking, and warpage. Moreover, residual warpage and deformation are asymmetric in nature and scale with the size of the fabricated metal part. As a result, the integrated molding of large , such as rocket nozzles, is extremely challenging.

To tackle this issue, a team of researchers from Japan and the U.S., led by Professor Akihiro Takezawa from Waseda University, have now proposed an optimized design strategy for AM. "LPBF metal 3D printing, which has been the focus of much attention in recent years, suffers from large warping of molded parts. In this study, we developed a method to reduce residual deformation by simultaneously optimizing the internal structure of the fabricated part and the laser scanning direction," explains Takezawa.

A team of researchers from Japan and USA propose a deformation reduction strategy in LPBF-based additive manufacturing (AM) involving a synergetic optimization of laser hatching orientation and lattice density distribution. This novel methodology promises to facilitate 3D printing of large metal components in AM through significant reduction of residual warping. Credit: Akihiro Takezawa from Waseda University, Japan

In their study made available online in Additive Manufacturing, the team, including Dr. Qian Chen and Professor Albert C. To from University of Pittsburgh, U.S., studied the reduction of residual warpage while focusing on layer-wise residual stacking and utilized the lattice infill distribution technique.

They employed a numerical methodology called "recurrent formula inherent strain method" to analyze the residual deformation. In this, they modeled the lattice based on the effective stiffness and anisotropic inherent strain using a gradient-based optimization algorithm.

In LPBF AM, the team simultaneously optimized two aspects of the fabrication process: the laser "hatching orientation" or scanning direction that utilizes the asymmetry of residual stress, and the internal structure of the fabricated material or the "lattice density distribution" by considering layer-wise residual stress stacking. Accordingly, they fine-tuned their methodology to ensure the synergetic influence of simultaneous optimization.

Credit: Akihiro Takezawa from Waseda University, Japan

In addition, the team performed experiments to verify their novel methodology using quasi-2D plates, 3D brackets, and 3D connecting rods. Compared to the standard benchmark designs in use, their design strategy reduced vertical edge deformations by 23–39% in quasi-2D plates. In the cases of 3D brackets and connecting rods, the warpage reductions ranged between 13–20%.

Overall, the methodology proposed in this study could herald a remarkable development in 3D printing using LPBF fabrication. Reduction in residual warping and deformation is critical to molding large metal components. "Recent improvements in metal 3D printing technology have made it possible to produce larger molded parts. In this light, our methodology should ideally enable 3D printing of any large metal part," concludes Takezawa.

More information: Akihiro Takezawa et al, Simultaneous optimization of hatching orientations and lattice density distribution for residual warpage reduction in laser powder bed fusion considering layerwise residual stress stacking, Additive Manufacturing (2022). DOI: 10.1016/j.addma.2022.103194

Provided by Waseda University