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Hye Ji Im, Julio Cesar Pereira Dos Santos, Carelyn Campbell, David Dunand
A Co-based superalloy (Co-0.20Ni-0.11Al-0.07W-0.04Cr-0.03Ti, mole fraction) was synthesized by laser powder-bed fusion of a blend of elemental powders. The as-built alloy shows a γ-FCC matrix where the high-melting Ti and Cr powders are fully dissolved
Alec Saville, Jake Benzing, S. Lee Semiatin, Nicholas Derimow, Nik Hrabe
Post-build hot isostatic pressing (HIP) is a widely used method to close as-built defects (gas or lack-of-fusion porosity) in additively manufactured (AM) metal parts. Pore closure during this process often creates clusters of equiaxed grains, in contrast
Yeun Park, Paul Witherell, Nowrin Akter Surovi, Hyunbo Cho
Conventional data analytics often fail to capture the intricate context of Additive Manufacturing (AM) processes, leading to pointed solutions and suboptimal analytics outcomes. The performance of Generative AI (GenAI) models, such as Large Language Models
Additive manufacturing fabricates three-dimensional parts via layer-by-layer deposition and solidification of materials. Due to the complexity of this process, advanced sensing is increasingly employed to facilitate system visibility, leading to a large
Abhishek Dhand, Matthew Davidson, Hannah Zlotnick, Thomas Kolibaba, Jason Killgore, Jason Burdick
Incorporation of polymer chain entanglements within a single network can synergistically improve stiffness and toughness, yet attaining such dense entanglements through vat photopolymerization additive manufacturing (e.g., digital light processing, DLP)
This report summarizes the results of the workshop entitled "Empowering Small and Medium Size Enterprises Through Effective Additive Manufacturing Data Management." NIST co-hosted the event in partnership with the National Manufacturing Innovative
M M Towfiqur Rahman, Chris Evans, Jason Fox, Jimmie Miller, Jaime Berez
Metal additive manufacturing (AM) and particularly, laser powder bed fusion (LPBF), is a candidate process for the manufacture of intricate internal cooling channels used in heat transfer applications. Although unique geometries optimal for heat transfer
Additive manufacturing (AM) faces several challenges in achieving efficient and defect-free printing. Although traditional machine learning (ML) has proven effective in mitigating these challenges, it requires specialized models for solving specific
Ridwan Olabiyi, Jordan Weaver, Ashif Sikandar Iquebal
Rapid characterization of the mechanical properties and material structure of additively manufactured components via nondestructive techniques is becoming the sine-qua-non for their wider adoption. In this research, we primarily focus on estimating the ela
Thomas Kolibaba, Callie Higgins, Benjamin Caplins, Elisabeth Mansfield, Caleb Chandler, Jason Killgore
Polyelectrolyte complexes (PECs), ionically bound assemblies of oppositely charged polymers, have wide ranging applications spanning medicine, fire safety, and electronic materials. For years, PECs presented processing challenges owing to their ionic bonds
Orion Kafka, Alexander Landauer, Jake Benzing, Newell Moser, Elisabeth Mansfield, Edward Garboczi
Purpose: Establish a technique for simultaneous interrupted volumetric imaging of internal structure and time-resolved full-field surface strain measurements during in-situ X-ray micro-computed tomography (XCT) experiments. This enables in-situ testing of
John Billingham, Ho Yeung, Dragos Axinte, Zhirong Liao, Jason Fox
Powder bed fusion (PBF) uses an energy beam to scan a powder bed surface, heat it locally and consolidate the material to form a part. The choice of energy beam paths is typically based on user experience. Simple beam path strategies (e.g., raster or
Jordan Weaver, David Deisenroth, Sergey Mekhontsev, Brandon Lane, Lyle E. Levine, Ho Yeung
AM Bench is a NIST-led organization that provides a continuing series of additive manufacturing (AM) benchmark measurements, challenge problems, and conferences with the primary goal of enabling modelers to test their simulations against rigorous, highly
Arash Samaei, Joseph Leonor, zhengtao gan, Zhongsheng Sang, Xiaoyu Xie, Brian Simonds, Wing Kam Liu, Gregory Wagner
Metal 3D printing involves a multitude of operational and material parameters that exhibit intricate interdependencies, which pose challenges to real-time process optimization, monitoring, and controlling. The dynamic behavior of the laser-induced melt
Thomas P. Forbes, J Greg Gillen, William Feeney, Johnny Ho
Distributed and point-of-care (POC) manufacturing facilities enable an agile pharmaceutical production paradigm that can respond to localized needs, providing personalized and precision medicine. These capabilities are critical for narrow therapeutic index
Nowrin Akter Surovi, Paul Witherell, Kumara Sundar, Vinay Saji Mathew
Additive Manufacturing (AM) is becoming increasingly popular in academia and industry due to its cost-effectiveness and time-saving benefits. However, AM faces several challenges that must be addressed to enhance its efficiency. While Machine Learning (ML)
The solidification behavior and crystallographic texture of 316L austenitic stainless steel builds fabricated via laser-wire directed energy deposition additive manufacturing (AM) were investigated. Shielding gas set-up and build type (single-track vs
Nicholas O'Brien, Syed Uddin, Jordan Weaver, Jake Jones, Satbir Singh, Jack Beuth
This work focuses on how spatter particles are transported within a laser powder bed fusion (L-PBF) machine. The machine's gas flow rate and salient flow features are studied with a computational fluid dynamics (CFD) model and are validated with
Stian Romberg, Paul Roberts, Chad R. Snyder, Anthony Kotula
Simultaneous rheology and conversion measurements of neat and composite epoxy resins reveal that conventional models neither accurately nor fully describe the relationship between rheology and conversion. We find that models predicting thermoset conversion
Jake Read, Jonathan Seppala, Filippos Tourlomousis, James Warren, Nicole Bakker, Neil Gershenfeld
Abstract To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying
Thomas Kolibaba, Jason Killgore, Benjamin Caplins, Callie Higgins, Uwe Arp, C Cameron Miller, Yuqin Zong, Dianne L. Poster
The working curve informs resin properties and print parameters for stereolithography, digital light processing, and other photopolymer additive manufacturing (PAM) technologies. First demonstrated in 1992, the working curve measurement of cure depth vs