Dazhong Wu

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Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2015, Comput. Aided Des..

TOWARDS A CLOUD-BASED DESIGN AND MANUFACTURING PARADIGM: LOOKING BACKWARD, LOOKING FORWARD

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2012 .

THE IMPACT OF CUSTOMER-SIDE IT INVESTMENTS ON FIRM PRODUCTIVITY

Dazhong Wu, 2013 .

Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting

Dazhong Wu, Changxue Xu, 2018, Journal of Manufacturing Science and Engineering.

Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning

Dazhong Wu, L. Gollahon, Changxue Xu, 2020, Journal of Intelligent Manufacturing.

Economic Benefit Analysis of Cloud-Based Design

Dazhong Wu, 2015 .

Implications of Reduced Search Cost and Free Riding in E-Commerce

Dazhong Wu, Andrew B. Whinston, Xianjun Geng, 2004 .

Predictive modelling of surface roughness in fused deposition modelling using data fusion

Dazhong Wu, Janis Terpenny, Yupeng Wei, 2018, Int. J. Prod. Res..

Predictive modelling of drop ejection from damped, dampened wings by machine learning

Andrew K. Dickerson, Dazhong Wu, MD Erfanul Alam, 2020, Proceedings of the Royal Society A.

Prediction of melt pool temperature in directed energy deposition using machine learning

Dazhong Wu, Ziyang Zhang, Zhichao Liu, 2020 .

An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction

Dazhong Wu, Chao Hu, Zhixiong Li, 2017, Reliab. Eng. Syst. Saf..

Battery health management using physics-informed machine learning: Online degradation modeling and remaining useful life prediction

Dazhong Wu, Junchuan Shi, Alexis Rivera, 2022, Mechanical Systems and Signal Processing.

Determinants of Research and Development Intensity from a Network Perspective

Phillip A. Mixon, Dazhong Wu, Chaojie Duan, 2016 .

Contract manufacturing, market competition, and labor productivity in US manufacturing industries

Feng Xu, Dazhong Wu, M. Tannen, 2022, Operations Management Research.

Uncertainty shocks, network position, and inventory

Dazhong Wu, Jian Hua, Mohamad Sepehri, 2022, Journal of Modelling in Management.

Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning

Dazhong Wu, Yupeng Wei, 2022, Journal of Intelligent Manufacturing.

Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms

Dazhong Wu, Yupeng Wei, 2022, Reliability Engineering & System Safety.

Multi-material additive manufacturing: effect of process parameters on flexural behavior of soft-hard sandwich beams

Dazhong Wu, Qingyang Liu, Denizhan Yavas, 2022, Rapid prototyping journal.

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

Kai Goebel, Junchuan Shi, Tianyu Yu, 2020, J. Comput. Inf. Sci. Eng..

High strength WE43 microlattice structures additively manufactured by laser powder bed fusion

Dazhong Wu, B. McWilliams, Kyu C. Cho, 2021, Materialia.

Fracture behavior of 3D printed carbon fiber-reinforced polymer composites

Dazhong Wu, Qingyang Liu, Denizhan Yavas, 2021 .

Extrusion-based additive manufacturing of yttria-partially-stabilized zirconia ceramics

Dazhong Wu, N. Orlovskaya, Tianyu Yu, 2020, Ceramics International.

Enhancing the Product Realization Process With Cloud-Based Design and Manufacturing Systems

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2013, J. Comput. Inf. Sci. Eng..

Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning

Dazhong Wu, Tianyu Yu, Dazhong Wu, 2019, Journal of Manufacturing Science and Engineering.

Deep learning for smart manufacturing: Methods and applications

Dazhong Wu, Robert X. Gao, Laibin Zhang, 2018, Journal of Manufacturing Systems.

Cybersecurity for digital manufacturing

Dazhong Wu, Janis Terpenny, Xinwen Fu, 2018, Journal of Manufacturing Systems.

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

Connor Jennings, Dazhong Wu, Janis Terpenny, 2018 .

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

Dazhong Wu, Janis Terpenny, Robert X. Gao, 2017 .

Democratizing digital design and manufacturing using high performance cloud computing: Performance evaluation and benchmarking

Dazhong Wu, Janis Terpenny, Wolfgang Gentzsch, 2017 .

Digital design and manufacturing on the cloud: A review of software and services—RETRACTED

Dazhong Wu, Dirk Schaefer, Janis P. Terpenny, 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Cloud-based Design and Additive Manufacturing of Custom Orthoses

Albert J. Shih, Dazhong Wu, Dae Woo Park, 2017 .

A Survey of Cloud-Based Design and Engineering Analysis Software Tools

Dazhong Wu, Janis Terpenny, Dirk Schaefer, 2016 .

A Computational Framework for Cloud-based Machine Prognosis☆

Dazhong Wu, Janis Terpenny, Robert X. Gao, 2016 .

Economic Benefit Analysis of Cloud-Based Design, Engineering Analysis, and Manufacturing

Dazhong Wu, Janis Terpenny, Wolfgang Gentzsch, 2015 .

Scalability Planning for Cloud-Based Manufacturing Systems

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2015 .

Modeling and Analyzing the Material Flow of Crowdsourcing Processes in Cloud-Based Manufacturing Systems Using Stochastic Petri Nets

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2014 .

Cloud-Based Design and Manufacturing: Status and Promise

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2014 .

Cloud manufacturing: Strategic vision and state-of-the-art☆

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2013 .

Cloud-based design and manufacturing systems: A social network analysis

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2013 .

Structure-property relationship in high strength and lightweight AlSi10Mg microlattices fabricated by selective laser melting

Dazhong Wu, H. Hyer, Y. Sohn, 2019, Materials & Design.

Tensile and flexural behaviors of additively manufactured continuous carbon fiber-reinforced polymer composites

Dazhong Wu, Tianyu Yu, Shutao Song, 2019, Composite Structures.

Tensile and fl exural behaviors of additively manufactured continuous carbon fi ber-reinforced polymer composites

Dazhong Wu, Tianyu Yu, Shutao Song, 2019 .

Design and Fabrication of Architected Multi-Material Lattices with Tunable Stiffness, Strength, and Energy Absorption

Dazhong Wu, Qingyang Liu, Denizhan Yavas, 2022, Materials & Design.

Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks

K. Goebel, Zhongxiao Peng, Dazhong Wu, 2022 .

Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism

J. Terpenny, Dazhong Wu, Yupeng Wei, 2023, Mechanical systems and signal processing.

Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction

J. Terpenny, Dazhong Wu, Yupeng Wei, 2022, Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems.

Learning the health index of complex systems using dynamic conditional variational autoencoders

Janis Terpenny, Dazhong Wu, Yupeng Wei, 2021, Reliab. Eng. Syst. Saf..

Robust Incipient Fault Detection of Complex Systems Using Data Fusion

Dazhong Wu, Yupeng Wei, Janis Terpenny, 2020, IEEE Transactions on Instrumentation and Measurement.

Decision-Level Data Fusion in Quality Control and Predictive Maintenance

Dazhong Wu, Yupeng Wei, Janis Terpenny, 2021, IEEE Transactions on Automation Science and Engineering.

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

Connor Jennings, Dazhong Wu, Janis Terpenny, 2017 .

Prediction of surface roughness in extrusion-based additive manufacturing with machine learning

Dazhong Wu, Ziyang Zhang, Zhixiong Li, 2019, Robotics and Computer-Integrated Manufacturing.

Data-driven smart manufacturing: Tool wear monitoring with audio signals and machine learning

Dazhong Wu, Rui Liu, Dazhong Wu, 2019, Journal of Manufacturing Processes.

Effects of tilt angle between laser nozzle and substrate on bead morphology in multi-axis laser cladding

Dazhong Wu, Jingbin Hao, Dazhong Wu, 2019, Journal of Manufacturing Processes.

Effect of build orientation and raster pattern on the fracture behavior of carbon fiber reinforced polymer composites fabricated by additive manufacturing

Dazhong Wu, Qingyang Liu, Denizhan Yavas, 2021 .

Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions

Dazhong Wu, Lei Chen, Zhuo Wang, 2022, Journal of Manufacturing Processes.

Predictive modeling of material removal rate in chemical mechanical planarization with physics-informed machine learning

Dazhong Wu, Tianyu Yu, Dazhong Wu, 2019, Wear.

Interlaminar shear behavior of continuous and short carbon fiber reinforced polymer composites fabricated by additive manufacturing

Dazhong Wu, Qingyang Liu, Denizhan Yavas, 2021 .

Cloud-based design and manufacturing: a network perspective

Dazhong Wu, Dazhong Wu, 2014 .

Competitive Environment and the Relationship Between IT and Vertical Integration

Dazhong Wu, Prabhudev Konana, Gautam Ray, 2009, Inf. Syst. Res..

The impact of information technology on vertical relationships

Dazhong Wu, Dazhong Wu, 2006 .

Factors That Influence Employees’ Security Policy Compliance: An Awareness-Motivation-Capability Perspective

Dazhong Wu, Liqiang Chen, Xiaofeng Chen, 2018, J. Comput. Inf. Syst..

Customer Co-design of Computer Mouse for Mass Customization without Causing Mass Confusion

Dazhong Wu, David W. Rosen, Wenchao Zhou, 2010, 2010 International Conference on Manufacturing Automation.

Cloud-based machine learning for predictive analytics: Tool wear prediction in milling

Connor Jennings, Dazhong Wu, Janis P. Terpenny, 2016, 2016 IEEE International Conference on Big Data (Big Data).

A Review on Additive Manufacturing of Ceramics

Dazhong Wu, Tianyu Yu, S. Torres, 2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing.

Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning

Ali P. Gordon, Ziyang Zhang, Junchuan Shi, 2020, J. Comput. Inf. Sci. Eng..

Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization

Dazhong Wu, Zhenghui Sha, Xinyu Li, 2023, Advanced Engineering Informatics.

Cyber security in smart manufacturing: Survey and challenges

Dazhong Wu, Janis Terpenny, Wenhui Zhang, 2017 .

Forecasting Obsolescence Risk and Product Life Cycle With Machine Learning

J. Terpenny, Dazhong Wu, Connor Jennings, 2016, IEEE Transactions on Components, Packaging and Manufacturing Technology.

SysML-based design chain information modeling for variety management in production reconfiguration

Linda L. Zhang, Dazhong Wu, R. Lu, 2013, J. Intell. Manuf..

Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear

Connor Jennings, Dazhong Wu, Janis Terpenny, 2017 .

Sanction severity and employees' information security policy compliance: Investigating mediating, moderating, and control variables

Dazhong Wu, Liqiang Chen, Xiaofeng Chen, 2018, Inf. Manag..

Performance Evaluation of Cloud-Based High Performance Computing for Finite Element Analysis

Dazhong Wu, Janis Terpenny, Wolfgang Gentzsch, 2015 .

Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning

Kai Goebel, Zhixiong Li, Dazhong Wu, 2018, Journal of Engineering for Gas Turbines and Power.

Cloud Manufacturing: Drivers, Current Status, and Future Trends

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2013 .

Meta domain generalization for smart manufacturing: Tool wear prediction with small data

Dazhong Wu, Qingyang Liu, Liqiang Wang, 2022, Journal of manufacturing systems.

Optimal transport-based transfer learning for smart manufacturing: Tool wear prediction using out-of-domain data

Rui Xie, Dazhong Wu, Dazhong Wu, 2021, Manufacturing Letters.

Prediction of surface roughness in extrusion-based additive manufacturing with machine learning

Zhixiong Li, Ziyang Zhang, Junchuan Shi, 2019, Robotics and Computer-Integrated Manufacturing.

Surface Roughness Prediction in Additive Manufacturing Using Machine Learning

J. Terpenny, Dazhong Wu, Yupeng Wei, 2018, Volume 3: Manufacturing Equipment and Systems.

Manufacturers' Distribution Strategy in the Presence of the Electronic Channel

Dazhong Wu, Andrew B. Whinston, Gautam Ray, 2008, J. Manag. Inf. Syst..

Understanding Communication and Collaboration in Social Product Development Through Social Network Analysis

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2016, J. Comput. Inf. Sci. Eng..

Forecasting obsolescence risk using machine learning

Connor Jennings, Dazhong Wu, Janis Terpenny, 2016 .

Mathematical modeling and multi-attribute rule mining for energy efficient job-shop scheduling

Liping Zhang, Grzegorz Krolczyk, Qiuhua Tang, 2019 .

Cloud-Based Manufacturing: Old Wine in New Bottles?

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2014 .

INCORPORATING SOCIAL PRODUCT DEVELOPMENT IN DISTRIBUTED COLLABORATIVE DESIGN EDUCATION

Dazhong Wu, David W. Rosen, Dirk Schaefer, 2013 .

Predicting stress-strain curves using transfer learning: knowledge transfer across fiber reinforced polymer composites

Dazhong Wu, Qingyang Liu, Ziyang Zhang, 2022, Materials & Design.

Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing

Zhenghui Sha, Dazhong Wu, Wenchao Zhou, 2020, J. Comput. Inf. Sci. Eng..

Comprehensive Studies on Strength of 3D-printed Aluminum Micro Lattice Structures

Dazhong Wu, F. A. Akçay, Y. Bai, 2020 .

Mechanical and Fracture Behavior of Additively Manufactured Carbon Fiber Reinforced Polymer Composites with Bouligand Meso-structures

Dazhong Wu, Denizhan Yavas, Hung Le, 2023, Composite Structures.