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    Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 010:;page 101007
    Author(s): Wu, Dazhong; Xu, Changxue
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing is driving major innovations in many areas such as biomedical engineering. Recent advances have enabled three-dimensional (3D) printing of biocompatible materials and cells into complex 3D functional ...
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    Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction 

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 002:;page 21009-1
    Author(s): Wei, Yupeng; Wu, Dazhong; Terpenny, Janis
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A system health index is a measurement of the health condition of complex systems. However, most of the health indices are developed based on strong assumptions. Consequently, existing health indices are not capable of ...
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    Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning 

    Source: Journal of Engineering for Gas Turbines and Power:;2019:;volume( 141 ):;issue: 004:;page 41008
    Author(s): Li, Zhixiong; Goebel, Kai; Wu, Dazhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Degradation modeling and prediction of remaining useful life (RUL) are crucial to prognostics and health management of aircraft engines. While model-based methods have been introduced to predict the RUL of aircraft engines, ...
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    Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 003:;page 31003
    Author(s): Li, Zhixiong; Wu, Dazhong; Yu, Tianyu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Chemical mechanical planarization (CMP) has been widely used in the semiconductor industry to create planar surfaces with a combination of chemical and mechanical forces. A CMP process is very complex because several ...
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    Scalability Planning for Cloud Based Manufacturing Systems 

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 004:;page 40911
    Author(s): Wu, Dazhong; Rosen, David W.; Schaefer, Dirk
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cloudbased manufacturing (CBM) has recently been proposed as an emerging manufacturing paradigm that may potentially change the way manufacturing services are provided and accessed. In the context of CBM, companies may opt ...
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    Economic Benefit Analysis of Cloud Based Design, Engineering Analysis, and Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2015:;volume( 137 ):;issue: 004:;page 40903
    Author(s): Wu, Dazhong; Terpenny, Janis; Gentzsch, Wolfgang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: From a business perspective, cloud computing has revolutionized the information and communication technology (ICT) industry by offering scalable and ondemand ICT services as well as innovative pricing plans such as payperuse ...
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    Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 021 ):;issue: 002:;page 021004-1
    Author(s): Shi, Junchuan; Yu, Tianyu; Goebel, Kai; Wu, Dazhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Prognostics and health management (PHM) of bearings is crucial for reducing the risk of failure and the cost of maintenance for rotating machinery. Model-based prognostic methods develop closed-form mathematical models ...
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    Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 006:;page 061015-1
    Author(s): Zhang, Ziyang; Shi, Junchuan; Yu, Tianyu; Santomauro, Aaron; Gordon, Ali; Gou, Jihua; Wu, Dazhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Carbon fiber-reinforced polymer (CFRP) composites have been used extensively in the aerospace and automotive industries due to their high strength-to-weight and stiffness-to-weight ratios. Compared with conventional ...
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    Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 009:;page 90901-1
    Author(s): Shi, Junchuan; Wei, Yupeng; Wu, Dazhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Monitoring the health condition as well as predicting the performance of lithium-ion batteries is crucial to the reliability and safety of electrical systems such as electric vehicles. However, estimating the discharge ...
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    Enhancing the Product Realization Process With Cloud Based Design and Manufacturing Systems 

    Source: Journal of Computing and Information Science in Engineering:;2013:;volume( 013 ):;issue: 004:;page 41004
    Author(s): Wu, Dazhong; Thames, J. Lane; Rosen, David W.; Schaefer, Dirk
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The rise of cloud computing is radically changing the way enterprises manage their information technology assets. Considering the benefits of cloud computing to the information technology sector, we present a review of ...
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