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    In-Space Additive Manufacturing: A Review 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 145 ):;issue: 002:;page 20801-1
    Author(s): Hoffmann, Miguel; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Manufacturing or repairing parts on-site, high geometric freedom, and feedstock efficiency have long been regarded as nascent capabilities of additive manufacturing (AM) technologies. Researchers aim to adopt these ...
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    A Review on Process Monitoring and Control in Metal Based Additive Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 006:;page 60801
    Author(s): Tapia, Gustavo; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: There is consensus among both the research and industrial communities, and even the general public, that additive manufacturing (AM) processes capable of processing metallic materials are a set of game changing technologies ...
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    Layerwise Anomaly Detection in Laser Powder-Bed Fusion Metal Additive Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 003:;page 31002
    Author(s): Mahmoudi, Mohamad; Ezzat, Ahmed Aziz; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A growing research trend in additive manufacturing (AM) calls for layerwise anomaly detection as a step toward enabling real-time process control, in contrast to ex situ or postprocess testing and characterization. We ...
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    Selective Deposition and Fusion of AISI 316L: An Additive Manufacturing Process for Space Environments via Direct Ink Writing and Laser Processing 

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 012:;page 121006-1
    Author(s): Hoffmann, Miguel; Ye, Jiahui; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Unlocking the potential of additive manufacturing (AM) for space exploration hinges on overcoming key challenges, notably the ability to manufacture or repair parts on-site during exploration missions with consideration ...
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    Metal Binder Jetting Additive Manufacturing: A Literature Review 

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 142 ):;issue: 009:;page 090801-1
    Author(s): Li, Ming; Du, Wenchao; Elwany, Alaa; Pei, Zhijian; Ma, Chao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Binder jetting is an additive manufacturing process utilizing a liquid-based binding agent to selectively join the material in a powder bed. It is capable of manufacturing complex-shaped parts from a variety of materials ...
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    Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 008 ):;issue: 001:;page 11111-1
    Author(s): Ye, Jiahui; Mahmoudi, Mohamad; Karayagiz, Kubra; Johnson, Luke; Seede, Raiyan; Karaman, Ibrahim; Arroyave, Raymundo; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modeling and simulation for additive manufacturing (AM) are critical enablers for understanding process physics, conducting process planning and optimization, and streamlining qualification and certification. It is often ...
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    Uncertainty Propagation Analysis of Computational Models in Laser Powder Bed Fusion Additive Manufacturing Using Polynomial Chaos Expansions 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 012:;page 121006
    Author(s): Tapia, Gustavo; King, Wayne; Johnson, Luke; Arroyave, Raymundo; Karaman, Ibrahim; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Computational models for simulating physical phenomena during laser-based powder bed fusion additive manufacturing (L-PBF AM) processes are essential for enhancing our understanding of these phenomena, enable process ...
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    Bayesian Calibration and Uncertainty Quantification for a Physics-Based Precipitation Model of Nickel–Titanium Shape-Memory Alloys 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 007:;page 71002
    Author(s): Tapia, Gustavo; Johnson, Luke; Franco, Brian; Karayagiz, Kubra; Ma, Ji; Arroyave, Raymundo; Karaman, Ibrahim; Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Uncertainty quantification (UQ) is an emerging field that focuses on characterizing, quantifying, and potentially reducing, the uncertainties associated with computer simulation models used in a wide range of applications. ...
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    On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion 

    Source: Journal of Manufacturing Science and Engineering:;2022:;volume( 144 ):;issue: 009:;page 91011
    Author(s): Zhang, Chen;Xue, Lei;Atli, Kadri C.;Arróyave, Raymundo;Karaman, Ibrahim;Elwany, Alaa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Laser powder bed fusion (L-PBF) additive manufacturing (AM) is an effective method of fabricating nickel–titanium (NiTi) shape memory alloys (SMAs) with complex geometries, unique functional properties, and tailored material ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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