Search Results - "Carter, Fred"

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  1. 1

    Physical mechanisms in hybrid additive manufacturing: A process design framework by Webster, Samantha, Lin, Hui, Carter III, Fred M., Ehmann, Kornel, Cao, Jian

    Published in Journal of materials processing technology (01-05-2021)
    “…[Display omitted] •Hybrid additive manufacturing (AM) is re-defined through physical mechanisms.•Innovation via “property-mechanism-energy source-hybrid-AM…”
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    Journal Article
  2. 2

    Experimental and numerical characterization of a full-scale portable hydrokinetic turbine prototype for river applications by Riglin, Jacob, Carter, Fred, Oblas, Nick, Schleicher, W. Chris, Daskiran, Cosan, Oztekin, Alparslan

    Published in Renewable energy (01-12-2016)
    “…A preliminary hydrokinetic turbine prototype for river applications was built for experimental testing at the circulating water channel at the Naval Surface…”
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  3. 3

    Melt pool instability detection using coaxial photodiode system validated by in-situ X-ray imaging by Carter, Fred M., Kozjek, Dominik, Porter, Conor, Clark, Samuel J., Fezzaa, Kamel, Fujishima, Makoto, Irino, Naruhiro, Cao, Jian

    Published in CIRP annals (01-01-2023)
    “…A co-axial photodiode monitoring system with high temporal resolution has been integrated into a proven test bench enabling synchronized side-view high speed…”
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    Journal Article
  4. 4

    Data-driven prediction of inter-layer process condition variations in laser powder bed fusion by Kozjek, Dominik, Porter, Conor, Carter, Fred M., Mogonye, Jon-Erik, Cao, Jian

    Published in Additive manufacturing (25-05-2024)
    “…The pressing problem of laser powder bed fusion of metals (PBF-LB/M) is the inability to predict and mitigate undesired process conditions in a build. This…”
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    Journal Article
  5. 5

    Data-driven prediction of geometry- and toolpath sequence-dependent intra-layer process conditions variations in laser powder bed fusion by Kozjek, Dominik, Porter, Conor, Carter III, Fred M., Mogonye, Jon-Erik, Cao, Jian

    Published in Journal of manufacturing processes (25-08-2023)
    “…Geometrical features and toolpath sequence are two important factors that cause process condition variations, such as variations in the meltpool temperature or…”
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  6. 6

    Iterative closest point-based data fusion of non-synchronized in-situ and ex-situ data in laser powder bed fusion by Kozjek, Dominik, Porter, Conor, Carter, Fred M., Bhattad, Pradeep, Brackman, Paul, Lisovich, Aleksandr, Mogonye, Jon-Erik, Cao, Jian

    Published in Journal of manufacturing systems (01-02-2023)
    “…With the development of additive manufacturing (AM) processes, a variety of methods and technologies for process monitoring and post-process inspection have…”
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    Journal Article
  7. 7

    Qualitative analysis of potential pore healing phenomenon in L-PBF using operando high speed X-ray imaging by Porter, Conor, Carter, Fred M., Kozjek, Dominik, Clark, Samuel J., Fezzaa, Kamel, Mogonye, Jon-Erik, Cao, Jian

    Published in Manufacturing letters (01-08-2023)
    “…A major source of flaws and defects in Laser Powder Bed Fusion stems from the creation of pores during the build process. In-process mechanisms that produce…”
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    Journal Article
  8. 8

    The role of the acromioclavicular ligaments and the effect of distal clavicle resection by Branch, T P, Burdette, H L, Shahriari, A S, Carter, 2nd, F M, Hutton, W C

    Published in The American journal of sports medicine (01-05-1996)
    “…To determine the role of the acromioclavicular ligaments in controlling scapular rotation about the distal clavicle and the effects of distal clavicle…”
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    Journal Article
  9. 9

    Machine learning guided adaptive laser power control in selective laser melting for pore reduction by Carter, Fred M., Porter, Conor, Kozjek, Dominik, Shimoyoshi, Kento, Fujishima, Makoto, Irino, Naruhiro, Cao, Jian

    Published in CIRP annals (2024)
    “…An adaptive laser power control strategy for Selective Laser Melting (SLM) has been developed using data from a co-axial photodiode monitoring system with 200…”
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  10. 10

    The effects of CoAl.sub.2O.sub.4 on the microstructural evolution of Inconel 718 processed by direct energy deposition by Tiparti, Dhruv, Ho, I.-ting, Buergel, Tilo, Carter, Fred, Tin, Sammy

    Published in Journal of materials science (01-08-2022)
    “…Processing of spray atomized Inconel 718(IN718) powder mixed with CoAl.sub.2O.sub.4 inoculants via direct energy deposition (DED) has revealed some unintended…”
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    Journal Article
  11. 11

    The effects of CoAl2O4 on the microstructural evolution of Inconel 718 processed by direct energy deposition by Tiparti, Dhruv, Ho, I.-ting, Buergel, Tilo, Carter, Fred, Tin, Sammy

    Published in Journal of materials science (01-08-2022)
    “…Processing of spray atomized Inconel 718(IN718) powder mixed with CoAl 2 O 4 inoculants via direct energy deposition (DED) has revealed some unintended…”
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    Journal Article
  12. 12

    Data-driven prediction of next-layer melt pool temperatures in laser powder bed fusion based on co-axial high-resolution Planck thermometry measurements by Kozjek, Dominik, Carter, Fred M., Porter, Conor, Mogonye, Jon-Erik, Ehmann, Kornel, Cao, Jian

    Published in Journal of manufacturing processes (01-07-2022)
    “…Uncontrolled process variability, stemming from geometry, machine, or parameter variation, can lead to metallurgical defects such as keyhole porosity and lack…”
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  13. 13

    A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures by Mao, Yuwei, Lin, Hui, Yu, Christina Xuan, Frye, Roger, Beckett, Darren, Anderson, Kevin, Jacquemetton, Lars, Carter, Fred, Gao, Zhangyuan, Liao, Wei-keng, Choudhary, Alok N., Ehmann, Kornel, Agrawal, Ankit

    “…Part quality manufactured by the laser powder bed fusion process is significantly affected by porosity. Existing works of process–property relationships for…”
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  14. 14

    A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures by Mao, Yuwei, Lin, Hui, Yu, Christina Xuan, Frye, Roger, Beckett, Darren, Anderson, Kevin, Jacquemetton, Lars, Carter, Fred, Gao, Zhangyuan, Liao, Wei-keng, Choudhary, Alok N., Ehmann, Kornel, Agrawal, Ankit

    Published in Journal of intelligent manufacturing (14-10-2022)
    “…Part quality manufactured by the laser powder bed fusion process is significantly affected by porosity. Existing works of process–property relationships for…”
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    Journal Article
  15. 15

    A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures by Mao, Yuwei, Lin, Hui, Yu, Christina Xuan, Frye, Roger, Beckett, Darren, Anderson, Kevin, Jacquemetton, Lars, Carter, Fred, Gao, Zhangyuan, Liao, Wei-keng, Choudhary, Alok N., Ehmann, Kornel, Agrawal, Ankit

    Published in Journal of intelligent manufacturing (14-10-2022)
    “…Abstract Part quality manufactured by the laser powder bed fusion process is significantly affected by porosity. Existing works of process–property…”
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    Journal Article
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    P-22: Efficacy and safety of perindopril erbumine, an angiotensin converting enzyme inhibitor (ACE-I), in 2269 elderly hypertensive patients: subgroup analysis of a 12-week, open-label, Aceon® Community Trial (ACT) by Neutel, Joel, Pohorille, Alicia, Carter, Fred

    Published in American journal of hypertension (01-04-2002)
    “…There is little data on the management of elderly hypertensive patients in family practice. Furthermore, it has been well demonstrated that treatment of these…”
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    Journal Article
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