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    From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 005
    Author(s): Yang, Zhuo; Lu, Yan; Yeung, Ho; Krishnamurty, Sundar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The quality of additive manufacturing (AM) built parts is highly correlated to the melt pool characteristics. Hence, melt pool monitoring and control can potentially improve the AM part quality. This paper presents a ...
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    A Knowledge-Based Method for Innovative Design for Additive Manufacturing Supported by Modular Ontologies 

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 002:;page 21009
    Author(s): Hagedorn, Thomas J.; Krishnamurty, Sundar; Grosse, Ian R.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) offers significant opportunities for product innovation in many fields provided that designers are able to recognize the potential values of AM in a given product development process. However, ...
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    An Integrated Approach to Information Modeling for the Sustainable Design of Products 

    Source: Journal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 002:;page 21011
    Author(s): Eddy, Douglas; Krishnamurty, Sundar; Grosse, Ian; Witherell, Paul; Wileden, Jack; Lewis, Kemper
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The design of more sustainable products can be best accomplished in a tradeoffbased design process that methodically handles conflicting objectives. Such conflicts are often seen between, environmental impact, cost, and ...
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