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Weijian Hua
Department of Department of Biomedical Engineering
Texas A&M University, United States
Weijian Hua is a Post-Doctoral Researcher in the Department of Biomedical Engineering at Texas A&M University. He earned his Ph.D. in Mechanical Engineering from the University of Nevada, Reno in 2025. His doctoral research focused on hydrogel-particle interaction-powered embedded ink writing, where he developed several innovative printing strategies for biomedical applications. Dr. Hua also holds an M.S. in Biomedical Engineering from the University of Florida and a B.S. in Pharmaceutical Engineering from South China Agricultural University. His expertise includes 3D bioprinting and the design of stimuli-responsive materials. Beyond his research, he also supports the academic community by contributing to the peer-review process for several journals, including Bioactive Materials, ACS Applied Materials & Interfaces, Journal of Manufacturing Processes, and Additive Manufacturing.
Multiscale and Rapid Embedded 3D Printing Enabled by Tunable Hydrogel-Particle Interactions
Embedded ink writing (EIW) is a powerful tool for soft matter additive manufacturing, yet its application in organ regeneration is constrained by suboptimal bath rheology that limits printing speeds to 10 mm/s and hinders multiscale structural fidelity. This study reports a strategy for multiscale and rapid embedded 3D printing enabled by a particle-hydrogel interactive system. We investigate the interaction mechanisms between particle additives and polymeric hydrogels, establishing models validated by macroscale rheology and microstructure characterization. The resulting nanocomposites exhibit tunable yield stress and extended thixotropic response times, which are critical for stabilizing high-velocity fluid dynamics during printing. Utilizing this optimized bath, we achieved a record printing speed of 110 mm/s, allowing for the fabrication of an anatomic human kidney in 4 hours. Beyond speed, the stimuli-responsive nature of the bath supports a multiscale embedded printing (MSEP) workflow. We demonstrate the ability to print features ranging from micron-scale smooth surfaces (human cornea) to complex macro-scale organs (human heart) by employing dynamic layer height control and temperature-modulated bath removal. These findings establish a new standard for yield-stress fluid design, enabling the rapid production of complex biological structures with unprecedented scale and efficiency.
Tengteng Tang
Department of Mechanical Engineering
Union College, United States
Dr. Tengteng Tang is an assistant professor at Union College and received his Ph.D. in Mechanical Engineering at Arizona State University in May 2025. His research focuses on electrically assisted additive manufacturing (AM) and encompasses biomimetic design and manufacturing, advanced functional composite materials, multi-physics simulation, machine learning-based process monitoring and optimization, for the application in sentient smart structure, self-sensing device, superhydrophobic surface, and optical steganography.
Layer Stacking-induced Light Orientation via Vat Photopolymerization for Optical Steganography
This study explores vat photopolymerization (VPP) as a versatile additive manufacturing technique for producing translucent, resin-based polarizers with tunable anisotropic optical properties for optical steganography applications. By systematically optimizing structural design and VPP processing parameters, the research enables precise control of light polarization behavior at the voxel level, facilitating secure optical information encoding and decoding. Key factors influencing anisotropy, including geometric configuration, photopolymerization conditions, and layer-stacking interfaces, are comprehensively investigated. The optical performance of the fabricated structures is extensively characterized, and customized algorithms are developed to support steganographic data processing. This work demonstrates how layer stacking–induced light orientation can be exploited to integrate optical functionality directly into additively manufactured materials. The findings have broad implications for data security, optical diagnostics, and advanced display technologies, contributing to innovations at the intersection of additive manufacturing, materials science, and optical communication.
