Search Results - "Wu, Dazhong"

Fracture behavior of 3D printed carbon fiber-reinforced polymer composites by Yavas, Denizhan, Zhang, Ziyang, Liu, Qingyang, Wu, Dazhong

“…This study examines the inter-layer and cross-layer fracture behavior of 3D printed short CFRP composites using both experimental and numerical methods. First,…”
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Deep learning for smart manufacturing: Methods and applications by Wang, Jinjiang, Ma, Yulin, Zhang, Laibin, Gao, Robert X., Wu, Dazhong

“…•Evolvement of deep learning technologies and their advantages over traditional machine learning are discussed.•Computational methods based on deep learning…”
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Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation by Wu, Dazhong, Rosen, David W., Wang, Lihui, Schaefer, Dirk

“…Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure,…”
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Design and fabrication of architected multi-material lattices with tunable stiffness, strength, and energy absorption by Yavas, Denizhan, Liu, Qingyang, Zhang, Ziyang, Wu, Dazhong

“…[Display omitted] •The flexural modulus and strength of the multi-material struts decrease with the increasing core-to-strut thickness ratio.•The energy…”
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Machine learning and feature representation approaches to predict stress-strain curves of additively manufactured metamaterials with varying structure and process parameters by Liu, Qingyang, Wu, Dazhong

“…[Display omitted] •The stress–strain curve, compressive modulus, and energy absorption of additively manufactured lattice structures are predicted using three…”
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Structure-property relationship in high strength and lightweight AlSi10Mg microlattices fabricated by selective laser melting by Yu, Tianyu, Hyer, Holden, Sohn, Yongho, Bai, Yuanli, Wu, Dazhong

“…Aluminum alloy microlattices have been increasingly used in automotive, aerospace, packaging, defense, machinery, and construction industries due to their…”
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Predicting stress–strain curves using transfer learning: Knowledge transfer across polymer composites by Zhang, Ziyang, Liu, Qingyang, Wu, Dazhong

“…[Display omitted] •A transfer learning-based predictive modeling approach is validated by transferring knowledge on stress–strain curves between different…”
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Cloud manufacturing: Strategic vision and state-of-the-art by Wu, Dazhong, Greer, Matthew John, Rosen, David W., Schaefer, Dirk

“…•A strategic vision of the new paradigm of cloud-based manufacturing systems.•A review of the current implementation state in industry.•A road map for future…”
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Forecasting Obsolescence Risk and Product Life Cycle With Machine Learning by Jennings, Connor, Dazhong Wu, Terpenny, Janis

“…Rapid changes in technology have led to an increasingly fast pace of product introductions. For long-life systems (e.g., planes, ships, and nuclear power…”
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Big data, machine learning, and digital twin assisted additive manufacturing: A review by Jin, Liuchao, Zhai, Xiaoya, Wang, Kang, Zhang, Kang, Wu, Dazhong, Nazir, Aamer, Jiang, Jingchao, Liao, Wei-Hsin

“…Additive manufacturing (AM) has undergone significant development over the past decades, resulting in vast amounts of data that carry valuable information…”
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Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions by Wang, Zhuo, Yang, Wenhua, Liu, Qingyang, Zhao, Yingjie, Liu, Pengwei, Wu, Dazhong, Banu, Mihaela, Chen, Lei

“…A thorough understanding of complex process-structure-property (P-S-P) relationships in additive manufacturing (AM) has long been pursued due to its paramount…”
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Recent advances of AI for engineering service and maintenance by Chen, Chong, Wu, Dazhong, Liu, Ying

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Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms by Wei, Yupeng, Wu, Dazhong

“…Prediction of state-of-health and remaining useful life is crucial to the safety of lithium-ion batteries. Existing state-of-health and remaining useful life…”
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State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network by Wei, Yupeng, Wu, Dazhong

“…Graph convolutional networks have been increasingly used to estimate the state of health and predict the remaining useful life of batteries. However, there are…”
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Implications of Reduced Search Cost and Free Riding in E-Commerce by Wu, Dazhong, Ray, Gautam, Geng, Xianjun, Whinston, Andrew

“…This paper examines a market where the provision of information service is costly, but information service has the characteristics of a public good. Consumers,…”
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Cloud-based machine learning for predictive analytics: Tool wear prediction in milling by Dazhong Wu, Jennings, Connor, Terpenny, Janis, Kumara, Soundar

“…The proliferation of real-time monitoring systems and the advent of Industrial Internet of Things (IIoT) over the past few years necessitates the development…”
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Remaining useful life prediction of bearings with attention-awared graph convolutional network by Wei, Yupeng, Wu, Dazhong

“…Graph Convolutional Networks (GCNs) have recently been used to predict the remaining useful life (RUL) of bearings due to its effectiveness in revealing…”
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Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning by Wei, Yupeng, Wu, Dazhong

“…Chemical mechanical planarization (CMP) is a complex and high-accuracy polishing process that creates a smooth and planar material surface. One of the key…”
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Battery health management using physics-informed machine learning: Online degradation modeling and remaining useful life prediction by Shi, Junchuan, Rivera, Alexis, Wu, Dazhong

“…•The physics-informed machine learning method combines a physics-based degradation model and a long short-term memory model.•The physics-based model considers…”
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Industry Productivity Growth: A Network Perspective by Teng, Joe, Wu, Dazhong, Smith, Fran

“…This study investigates the determinants of industrial productivity growth from a network perspective. The research focuses on the influence on a focal…”
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