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Related papers: High-Precision Real-Time Pores Detection in LPBF u…

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Qualification of high-performance metal components produced by laser powder bed fusion (LPBF) must identify process-induced porous defects that reduce ductility and nucleate fatigue cracking. Detecting such defects via optical monitoring of…

Optics · Physics 2024-11-22 Ryan W. Penny , Zachery Kutschke , A. John Hart

Variation in the local thermal history during the laser powder bed fusion (LPBF) process in additive manufacturing (AM) can cause microporosity defects. in-situ sensing has been proposed to monitor the AM process to minimize defects, but…

Machine Learning · Computer Science 2021-12-22 Sina Malakpour Estalaki , Cody S. Lough , Robert G. Landers , Edward C. Kinzel , Tengfei Luo

Laser powder bed fusion (LPBF) process can incur defects due to melt pool instabilities, spattering, temperature increase, and powder spread anomalies. Identifying defects through in-situ monitoring typically requires collecting, storing,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Shawn Hinnebusch , David Anderson , Berkay Bostan , Albert C. To

Laser Powder Bed Fusion (L-PBF) is a widely adopted additive manufacturing process for fabricating complex metallic parts layer by layer. Effective thermal management is essential to ensure part quality and structural integrity, as thermal…

Systems and Control · Electrical Eng. & Systems 2025-09-22 Yukta Pareek , Abdul Malik Al Mardhouf Al Saadi , Amrita Basak , Satadru Dey

Emission of blackbody emission from the meltpool and surrounding area in laser powder bed fusion (LPBF) makes this process visible to a range of optical monitoring instruments intended for online process and quality control. Yet, these…

Optics · Physics 2025-02-13 Ryan W. Penny , A. John Hart

Achieving desired mechanical properties in additive manufacturing requires many experiments and a well-defined design framework becomes crucial in reducing trials and conserving resources. Here, we propose a methodology embracing the…

Machine Learning · Computer Science 2024-09-04 Mahsa Amiri , Zahra Zanjani Foumani , Penghui Cao , Lorenzo Valdevit , Ramin Bostanabad

We present a deep learning approach for quantifying and localizing ex-situ porosity within Laser Powder Bed Fusion fabricated samples utilizing in-situ thermal image monitoring data. Our goal is to build the real time porosity map of parts…

Computer Vision and Pattern Recognition · Computer Science 2026-01-01 Peter Myung-Won Pak , Francis Ogoke , Andrew Polonsky , Anthony Garland , Dan S. Bolintineanu , Dan R. Moser , Michael J. Heiden , Amir Barati Farimani

Laser Powder Bed Fusion (LPBF) additive manufacturing has revolutionized industries with its capability to create intricate and customized components. The LPBF process uses moving heat sources to melt and solidify metal powders. The fast…

Computational Engineering, Finance, and Science · Computer Science 2024-07-10 Xin Liu , Xingchen Liu , Paul Witherell

With a growing demand for high-quality fabrication, the interest in real-time process and defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers to incorporate a variety of online sensing methods including…

This study demonstrates the significant effect of the recoil pressure and Marangoni convection in laser powder bed fusion (L-PBF) of 316L stainless steel. A three-dimensional high fidelity powder-scale model reveals how the strong dynamical…

Fluid Dynamics · Physics 2016-03-10 Saad A. Khairallah , Andrew T. Anderson , Alexander Rubenchik , Wayne E. King

Laser Powder Bed Fusion has become a widely adopted method for metal Additive Manufacturing (AM) due to its ability to mass produce complex parts with increased local control. However, AM produced parts can be subject to undesirable…

Machine Learning · Computer Science 2022-05-13 Francis Ogoke , Kyle Johnson , Michael Glinsky , Chris Laursen , Sharlotte Kramer , Amir Barati Farimani

Numerical simulations of a complete laser powder bed fusion (LPBF) additive manufacturing (AM) process are extremely challenging or even impossible to achieve without a radical model reduction of the complex physical phenomena occurring…

Numerical Analysis · Mathematics 2021-12-20 Massimo Carraturo , Alex Viguerie , Alessandro Reali , Ferdinando Auricchio

This study aims to relate the time-frequency patterns of acoustic emission (AE) and other multi-modal sensor data collected in a hybrid directed energy deposition (DED) process to the pore formations at high spatial (0.5 mm) and time (<…

Defects in laser powder bed fusion (L-PBF) parts often result from the meso-scale dynamics of the molten alloy near the laser, known as the melt pool. For instance, the melt pool can directly contribute to the formation of undesirable…

Powder Bed Fusion (PBF) is a type of Additive Manufacturing (AM) technology that builds parts in a layer-by-layer fashion out of a bed of metal powder via the selective melting action of a laser or electron beam heat source. The technology…

Systems and Control · Electrical Eng. & Systems 2020-01-09 Nathaniel Wood , David Hoelzle

Laser powder bed fusion (LPBF) has shown promise for wide range of applications due to its ability to fabricate freeform geometries and generate a controlled microstructure. However, components generated by LPBF still possess sub-optimal…

Machine Learning · Computer Science 2025-01-16 Olabode T. Ajenifujah , Francis Ogoke , Florian Wirth , Jack Beuth , Amir Barati Farimani

Laser powder bed fusion (LPBF) is an additive manufacturing technique that has gained popularity thanks to its ability to produce geometrically complex, fully dense metal parts. However, these parts are prone to internal defects and…

Computational Engineering, Finance, and Science · Computer Science 2025-07-18 Nicholas Kirschbaum , Nathaniel Wood , Chang-Eun Kim , Thejaswi U. Tumkur , Chinedum Okwudire

Limited process control can cause metallurgical defect formation and inhomogeneous relative density in laser powder bed fusion manufactured parts. In this study, cylindrical 15-5 PH stainless steel specimens are investigated by computer…

Computational Engineering, Finance, and Science · Computer Science 2022-01-28 Jorrit Voigt , Thomas Bock , Uwe Hilpert , Ralf Hellmann , Michael Moeckel

The stochastic formation of defects during Laser Powder Bed Fusion (L-PBF) negatively impacts its adoption for high-precision use cases. Optical monitoring techniques can be used to identify defects based on layer-wise imaging, but these…

Image and Video Processing · Electrical Eng. & Systems 2024-09-23 Francis Ogoke , Sumesh Kalambettu Suresh , Jesse Adamczyk , Dan Bolintineanu , Anthony Garland , Michael Heiden , Amir Barati Farimani

Numerical simulation of the laser powder bed fusion (LPBF) procedure for additive manufacturing (AM) is difficult due to the presence of multiple scales in both time and space, ranging from the part scale (order of millimeters/seconds) to…

Numerical Analysis · Mathematics 2021-10-26 Alex Viguerie , Massimo Carraturo , Alessandro Reali , Ferdinando Auricchio
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