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Keywords: laser powder bed fusion
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Journal Articles

Laser Powder Bed Fusion Additive Manufacturing of Maraging Steel: A Review

Umesh Kizhakkinan, Sankaranarayanan Seetharaman, Nagarajan Raghavan, David W. Rosen
Journal: Journal of Manufacturing Science and Engineering
Article Type: Review Articles
J. Manuf. Sci. Eng. November 2023, 145(11): 110801.
Paper No: MANU-22-1653
https://doi.org/10.1115/1.4062727
Published Online: August 3, 2023
...Umesh Kizhakkinan; Sankaranarayanan Seetharaman; Nagarajan Raghavan; David W. Rosen Laser powder bed fusion (PBF/L) is a popular metal additive manufacturing (AM) process used to manufacture complex metallic 3D components. Maraging steel is one of the metals used in AM and it belongs to the class...
View Article titled, <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Additive Manufacturing of Maraging Steel: A Review
Open the PDF for <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Additive Manufacturing of Maraging Steel: A Review in another window
Topics: Heat treating (Metalworking), Steel, Lasers, Additive manufacturing, Mechanical properties, Tensile strength, Temperature
Journal Articles

Process-Structure-Property Relationships of Laser Powder Bed Fusion Lattice Structures

Elliott W. Jost, Jonathan Pegues, David Moore, Christopher Saldaña
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research Papers
Publisher: ASME
J. Manuf. Sci. Eng. September 2023, 145(9): 091007.
Paper No: MANU-22-1633
https://doi.org/10.1115/1.4062580
Published Online: June 15, 2023
...Elliott W. Jost; Jonathan Pegues; David Moore; Christopher Saldaña Lattice structure metamaterials offer a variety of unique and tailorable properties, yet industrial adoption is slowed by manufacturability and inspection-related difficulties. Despite recent advances in laser powder bed fusion...
View Article titled, Process-Structure-Property Relationships of <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Lattice Structures
Open the PDF for Process-Structure-Property Relationships of <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Lattice Structures in another window
Topics: Geometry, Inspection, Lasers, Struts (Engineering), Manufacturing, Computerized tomography, Additive manufacturing
Journal Articles

Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data

Suyog Ghungrad, Meysam Faegh, Benjamin Gould, Sarah J. Wolff, Azadeh Haghighi
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2023, 145(8): 081007.
Paper No: MANU-22-1551
https://doi.org/10.1115/1.4062237
Published Online: April 19, 2023
... datasets. As the data collection in AM is usually challenging, a novel Architecture-driven PIDL structure named APIDL based on the deep unfolding approach for limited data scenarios has been proposed in the current study for predicting thermal history in the laser powder bed fusion process. The connections...
View Article titled, Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Additive Manufacturing With Limited Data
Open the PDF for Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Additive Manufacturing With Limited Data in another window
Topics: Additive manufacturing, Artificial neural networks, Lasers, Machine learning, Physics, Temperature, Testing, Errors, Algorithms
Journal Articles

An Opposite Tendency of Mechanical Properties and Corrosion Resistance of a High-Strength Al-5024 Alloy Processed by Laser Powder Bed Fusion

Han Zhang, Donghua Dai, Lixia Xi, Bilal Gökce, Dongdong Gu
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2023, 145(3): 031001.
Paper No: MANU-22-1166
https://doi.org/10.1115/1.4055896
Published Online: November 7, 2022
...Han Zhang; Donghua Dai; Lixia Xi; Bilal Gökce; Dongdong Gu Laser Powder Bed Fusion (LPBF) manufactured Al-5024 alloy has gained worldwide interest due to its ability to fabricate high-performance complex components. This work focuses on quantitative characterization and synergic optimization...
View Article titled, An Opposite Tendency of Mechanical Properties and Corrosion Resistance of a High-Strength Al-5024 Alloy Processed by <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span>
Open the PDF for An Opposite Tendency of Mechanical Properties and Corrosion Resistance of a High-Strength Al-5024 Alloy Processed by <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> in another window
Topics: Alloys, Corrosion, Corrosion resistance, Mechanical properties, Zirconium, Lasers, Grain boundaries
Journal Articles

Effects of Build Angle on Additively Manufactured Aluminum Alloy Surface Roughness and Wettability

Christopher M. Bailey, Jordan A. Morrow, Emily M. Stallbaumer-Cyr, Cameron Weeks, Melanie M. Derby, Scott M. Thompson
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2022, 144(8): 081010.
Paper No: MANU-21-1410
https://doi.org/10.1115/1.4053608
Published Online: February 21, 2022
...Christopher M. Bailey; Jordan A. Morrow; Emily M. Stallbaumer-Cyr; Cameron Weeks; Melanie M. Derby; Scott M. Thompson Laser powder bed fusion (LPBF) was utilized to create a series of aluminum alloy (i.e., AlSi10Mg) 5 mm-diameter support pillars with a fixed height of 5 mm containing varying filet...
View Article titled, Effects of Build Angle on Additively Manufactured Aluminum Alloy Surface Roughness and Wettability
Open the PDF for Effects of Build Angle on Additively Manufactured Aluminum Alloy Surface Roughness and Wettability in another window
Topics: Columns (Structural), Surface roughness, Lasers, Additive manufacturing, Wetting, Water, Aluminum alloys, Heat transfer, Drops, Microscopy
Journal Articles

Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in Laser Powder Bed Fusion

Tuğrul Özel, Ayça Altay, Bilgin Kaftanoğlu, Richard Leach, Nicola Senin, Alkan Donmez
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research Papers
J. Manuf. Sci. Eng. January 2020, 142(1): 011008.
Paper No: MANU-19-1085
https://doi.org/10.1115/1.4045415
Published Online: November 22, 2019
.... Surface areal height maps and measured surface texture parameters revealed the highly irregular nature of surface topography created by laser powder bed fusion (LPBF). Effects of process parameters and energy density on the areal surface texture have been identified. Machine learning methods were applied...
View Article titled, Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span>
Open the PDF for Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> in another window
Topics: Artificial neural networks, Density, Lasers, Machine learning, Surface texture, Computer programming, Rotation
Journal Articles

A Numerical Study on the Keyhole Formation During Laser Powder Bed Fusion Process

Subin Shrestha, Y. Kevin Chou
Journal: Journal of Manufacturing Science and Engineering
Article Type: Research-Article
J. Manuf. Sci. Eng. October 2019, 141(10): 101002.
Paper No: MANU-19-1266
https://doi.org/10.1115/1.4044100
Published Online: July 31, 2019
...Subin Shrestha; Y. Kevin Chou The dynamic phenomenon of a melt pool during the laser powder bed fusion (LPBF) process is complex and sensitive to process parameters. As the energy density input exceeds a certain threshold, a huge vapor depression may form, known as the keyhole. This study focuses...
View Article titled, A Numerical Study on the Keyhole Formation During <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Process
Open the PDF for A Numerical Study on the Keyhole Formation During <span class="search-highlight">Laser</span> <span class="search-highlight">Powder</span> <span class="search-highlight">Bed</span> <span class="search-highlight">Fusion</span> Process in another window
Topics: Lasers, Melting, Simulation, Vapors, Density, Heat conduction, Shapes, Pressure, Evaporation, Discrete element methods