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    Identifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 011:;page 114502
    Author(s): Lopez, Felipe; Witherell, Paul; Lane, Brandon
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As additive manufacturing (AM) matures, models are beginning to take a more prominent stage in design and process planning. A limitation frequently encountered in AM models is a lack of indication about their precision and ...
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    A Review of Model Inaccuracy and Parameter Uncertainty in Laser Powder Bed Fusion Models and Simulations 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 004:;page 40801
    Author(s): Moges, Tesfaye; Ameta, Gaurav; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a comprehensive review on the sources of model inaccuracy and parameter uncertainty in metal laser powder bed fusion (L-PBF) process. Metal additive manufacturing (AM) involves multiple physical phenomena ...
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    A Review of Model Inaccuracy and Parameter Uncertainty in Laser Powder Bed Fusion Models and Simulations 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 004:;page 40801
    Author(s): Moges, Tesfaye; Ameta, Gaurav; Witherell, Paul
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a comprehensive review on the sources of model inaccuracy and parameter uncertainty in metal laser powder bed fusion (L-PBF) process. Metal additive manufacturing (AM) involves multiple physical phenomena ...
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    Scalable Thermal Simulation of Powder Bed Fusion 

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 144 ):;issue: 005:;page 51009-1
    Author(s): Zhang, Yaqi; Shapiro, Vadim; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Powder bed fusion (PBF) has become a widely used additive manufacturing (AM) technology to produce metallic parts. In PBF, thermal field evolution during the manufacturing process plays an important role in determining ...
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    A Scalable Framework for Process-Aware Thermal Simulation of Additive Manufacturing Processes 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 022 ):;issue: 001:;page 11012-1
    Author(s): Zhang, Yaqi; Shapiro, Vadim; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Many additive manufacturing (AM) processes are driven by a moving heat source. Thermal field evolution during the manufacturing process plays an important role in determining both geometric and mechanical properties of the ...
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    Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication 

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 143 ):;issue: 002:;page 021007-1
    Author(s): Kapusuzoglu, Berkcan; Sato, Matthew; Mahadevan, Sankaran; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper develops a computational framework to optimize the process parameters such that the bond quality between extruded polymer filaments is maximized in fused filament fabrication (FFF). A transient heat transfer ...
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    Investigating the Role of Geometric Dimensioning and Tolerancing in Additive Manufacturing 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 011:;page 111401
    Author(s): Ameta, Gaurav; Lipman, Robert; Moylan, Shawn; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) has increasingly gained attention in the last decade as a versatile manufacturing process for customized products. AM processes can create complex, freeform shapes while also introducing features, ...
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    A Design for Additive Manufacturing Ontology to Support Manufacturability Analysis 

    Source: Journal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 004:;page 41014
    Author(s): Kim, Samyeon; Rosen, David W.; Witherell, Paul; Ko, Hyunwoong
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Design for additive manufacturing (DFAM) provides design freedom for creating complex geometries and guides designers to ensure the manufacturability of parts fabricated using additive manufacturing (AM) processes. However, ...
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    Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2022:;volume( 008 ):;issue: 001:;page 11112-1
    Author(s): Kapusuzoglu, Berkcan; Nath, Paromita; Sato, Matthew; Mahadevan, Sankaran; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work presents a data-driven methodology for multi-objective optimization under uncertainty of process parameters in the fused filament fabrication (FFF) process. The proposed approach optimizes the process parameters ...
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    Segmentation of Additive Manufacturing Defects Using U-Net 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 022 ):;issue: 003:;page 31005-1
    Author(s): Wong, Vivian Wen Hui; Ferguson, Max; Law, Kincho H.; Lee, Yung-Tsun Tina; Witherell, Paul
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to the deficit performance of the fabricated part. ...
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