...Zheng Liu; Hao Wu; Pingfeng Wang; Yumeng Li With the blooming of the electric vehicle market and the advancement in the lithium-ion battery industry, silicon anode has shown great potential for the next-generation battery. Using the state-of-the-art additive manufacturing technique (three...

...Yongjie Zhang; Seung Ki Moon Due to the nature of additive manufacturing (AM), design and manufacturing are deeply coupled. Toolpaths are defined based on the part geometry, and in turn, these toolpaths can influence the bonding between adjacent toolpaths, especially for fused filament fabrication...

...Sankaran Mahadevan; Paromita Nath; Zhen Hu This paper reviews the state of the art in applying uncertainty quantification (UQ) methods to additive manufacturing (AM). Physics-based as well as data-driven models are increasingly being developed and refined in order to support process optimization...

..., 2015 , “ Additive Manufacturing—General Principles—Terminology ,” ASTM International, West Conshohocken, PA, Standard No. ISO/ASTM 52900:2015. [2] Kapusuzoglu , B. , and Mahadevan , S. , 2020 , “ Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application...

...Tesfaye Moges; Kevontrez Jones; Shaw Feng; Paul Witherell; Gaurav Ameta Tremendous efforts have been made to use computational and simulation models of additive manufacturing (AM) processes. The goals of these efforts are to better understand process complexities and to realize better high-quality...

...Piyush Pandita; Sayan Ghosh; Vipul K. Gupta; Andrey Meshkov; Liping Wang Accurate identification and modeling of process maps in additive manufacturing remains a pertinent challenge. To ensure high quality and reliability of the finished product researchers, rely on models that entail the physics...

...Zhimin Xi Laser powder bed fusion (LPBF) process is one of popular additive manufacturing techniques for building metal parts through the layer-by-layer melting and solidification process. To date, there are plenty of successful product prototypes manufactured by the LPBF process. However, the lack...

...Xufeng Huang; Tingli Xie; Zhuo Wang; Lei Chen; Qi Zhou; Zhen Hu Melt pool modeling is critical for model-based uncertainty quantification (UQ) and quality control in metallic additive manufacturing (AM). Finite element (FE) simulation for thermal modeling in metal AM, however, is tedious and time...

...Arunabha Batabyal; Sugrim Sagar; Jian Zhang; Tejesh Dube; Xuehui Yang; Jing Zhang A persistent problem in the selective laser sintering process is to maintain the quality of additively manufactured parts, which can be attributed to the various sources of uncertainty. In this work, a two-particle...