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Additive Manufacturing (AM) is a transformative manufacturing technology enabling direct fabrication of complex parts layer-be-layer from 3D modeling data. Among AM applications, the fabrication of Functionally Graded Materials (FGMs) has…

Machine Learning · Computer Science 2024-07-26 Mohammad Karimzadeh , Deekshith Basvoju , Aleksandar Vakanski , Indrajit Charit , Fei Xu , Xinchang Zhang

The production of lightweight metal lattice structures has received much attention due to the recent developments in additive manufacturing (AM). The design flexibility comes, however, with the complexity of the underlying physics. In fact,…

Computational Engineering, Finance, and Science · Computer Science 2021-03-12 Nina Korshunova , Gianluca Alaimo , Seyyed Bahram Hosseini , Massimo Carraturo , Alessandro Reali , Jarkko Niiranen , Ferdinando Auricchio , Ernst Rank , Stefan Kollmannsberger

In our recent work [H. Zhang, F.X. Trias, A. Oliva, D. Yang, Y. Tan, Y. Sheng. PIBM: Particulate immersed boundary method for fluid-particle interaction problems. Powder Technology. 272(2015), 1-13.], a particulate immersed boundary method…

Computational Physics · Physics 2015-02-05 Hao Zhang , Haizhuan Yuan , F. Xavier Trias , Aibing Yu , Yuanqiang Tan , Assensi Oliva

The mitigation of material defects from additive manufacturing (AM) processes is critical to reliability in their fabricated parts and is enabled by modeling the complex relations between available build monitoring signals and final…

Applied Physics · Physics 2024-02-26 Qixiang Luo , John D. Shimanek , Timothy W. Simpson , Allison M. Beese

Accurately predicting the temperature field in metal additive manufacturing (AM) processes is critical to preventing overheating, adjusting process parameters, and ensuring process stability. While physics-based computational models offer…

Machine Learning · Computer Science 2024-01-05 Pouyan Sajadi , Mostafa Rahmani Dehaghani , Yifan Tang , G. Gary Wang

Selective Laser Melting (SLM) is an additive manufacturing technology that builds three dimensional parts by melting layers of metal powder together with a laser that traces out a desired geometry. SLM is popular in industry, however the…

Systems and Control · Electrical Eng. & Systems 2022-04-04 Dominic Liao-McPherson , Efe C. Balta , Ryan Wüest , Alisa Rupenyan , John Lygeros

In metal Additive Manufacturing (AM), monitoring the temperature of the Melt Pool (MP) is crucial for ensuring part quality, process stability, defect prevention, and overall process optimization. Traditional methods, are slow to converge…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Javid Akhavan , Chaitanya Krishna Vallabh , Xiayun Zhao , Souran Manoochehri

Laser powder bed fusion (LPBF) holds promise to efficiently produce metal parts. However, LPBF incurs stochastic melt pool (MP) spattering, which would roughen workpiece in-process surface, thus weakening inter-layer bonding and causing…

Systems and Control · Electrical Eng. & Systems 2023-03-02 Haolin Zhang , Chaitanya Krishna Prasad Vallabh , Xiayun Zhao

Additive manufacturing by laser powder bed fusion (LPBF) offers material versatility, capability for complex geometries, and control of mechanical properties and microstructure. However, achieving high-quality output requires process…

Materials Science · Physics 2021-11-04 Suh In Kim , A. John Hart

An increasing number of laser powder bed fusion machines use off-axis infrared cameras to improve online monitoring and data-driven control capabilities. However, there is still a severe lack of algorithmic solutions to properly process the…

Image and Video Processing · Electrical Eng. & Systems 2021-06-14 Alexander Nettekoven , Scott Fish , Joseph Beaman , Ufuk Topcu

In context of laser powder bed fusion (L-PBF), it is known that the properties of the final fabricated product highly depend on the temperature distribution and its gradient over the manufacturing plate. In this paper, we propose a novel…

Artificial Intelligence · Computer Science 2023-01-31 Ashkan Mansouri Yarahmadi , Michael Breuß , Carsten Hartmann

We present RAISE-LPBF, a large dataset on the effect of laser power and laser dot speed in powder bed fusion (LPBF) of 316L stainless steel bulk material, monitored by on-axis 20k FPS video. Both process parameters are independently sampled…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Cyril Blanc , Ayyoub Ahar , Kurt De Grave

While multiple sensors are used for real-time monitoring in additive manufacturing, not all provide practical or reliable process insights. For example, high-speed X-ray imaging offers valuable spatial information about subsurface melt pool…

Machine Learning · Computer Science 2025-09-04 Satyajit Mojumder , Pallock Halder , Tiana Tonge

Additive manufacturing (AM) of metallic components promises many advantages over conventional manufacturing processes through high design flexibility across multiple length scales and precision coupled with an astonishing combination of…

In a powder bed fusion additive manufacturing (AM) process, the balling effect has a significant impact on the surface quality of the printing parts. Surface wetting helps the bonding between powder and substrate and the inter-particle…

Fluid Dynamics · Physics 2021-05-05 Lu Li , Ji-Qin Li , Tai-Hsi Fan

In Laser Powder Bed Fusion (LPBF), the applied laser energy produces high thermal gradients that lead to unacceptable final part distortion. Accurate distortion prediction is essential for optimizing the 3D printing process and…

Machine Learning · Computer Science 2024-12-09 Indu Kant Deo , Youngsoo Choi , Saad A. Khairallah , Alexandre Reikher , Maria Strantza

Powder-based additive manufacturing has transformed the manufacturing industry over the last decade. In Laser Powder Bed Fusion, a specific part is built in an iterative manner in which two-dimensional cross-sections are formed on top of…

Machine Learning · Computer Science 2024-11-21 AmirPouya Hemmasian , Francis Ogoke , Parand Akbari , Jonathan Malen , Jack Beuth , Amir Barati Farimani

Additive manufacturing (AM) allows for manufacturing of complex three-dimensional geometries not typically realizable with standard subtractive manufacturing practices. The internal microstructure of a 3D printed component can have a…

Computational Engineering, Finance, and Science · Computer Science 2025-09-17 Lucas Gallup , Kevin N. Long , Devin J. Roach , William D. Reinholtz , Adam Cook , Craig M. Hamel

In this paper we outline the development of a scalable PBF thermal history simulation built on CAPL and based on melt pool physics and dynamics. The new approach inherits linear scalability from CAPL and has three novel ingredients.…

Computational Engineering, Finance, and Science · Computer Science 2024-03-20 Xin Liu , Xingchen Liu , Goldy Kumar , Paul Witherell

We present a novel computational paradigm for process design in manufacturing processes that incorporates simulation responses to optimize manufacturing process parameters in high-dimensional temporal and spatial design spaces. We developed…

Computational Engineering, Finance, and Science · Computer Science 2021-07-26 Mojtaba Mozaffar , Jian Cao