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Journal Articles

  1. Wei, Y., Wu, D., & Terpenny, J. (2020). Decision-Level Data Fusion in Quality Control and Predictive Maintenance, IEEE Transactions on Automation Science and Engineering, accepted. 
  2. Yu, T., Zhang, Z., Liu, Q., Kuliiev, R., Orlovskaya, N., & Wu, D. (2020). Extrusion-Based Additive Manufacturing of Yttria-Partially-Stabilized Zirconia Ceramics, Ceramics International, 46 (2020), 5020-5027. 
  3. Zhang, Z., Poudel, L., Sha, Z., Zhou, W., & Wu, D. (2020). Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing, Transactions of the ASME, Journal of Computing and Information Science in Engineering, 2020, 20(2): 021002. 
  4. Li, Z., Liu, R., & Wu, D. (2019). Data-Driven Smart Manufacturing: Tool Wear Monitoring with Audio Signals and Machine Learning, Journal of Manufacturing Processes, 48, 66-76.   
  5. Zhang, L., Li, Z., Królczyk, G., Wu, D., & Tang, Q. (2019). Mathematical Modeling and Multi-attribute Rule Mining for Energy Efficient Job-shop Scheduling, Journal of Cleaner Production, 241, 118289. 
  6. Yu, T., Hyer, H., Sohn, Y., Bai, Y., & Wu, D. (2019). Structure-Property Relationship in High Strength and Lightweight AlSi10Mg Microlattices Fabricated by Selective Laser Melting, Materials and Design, 108062. 
  7. Yu, T., Zhang, Z., Song, S., Bai, Y., & Wu, D. (2019). Tensile and Flexural Behaviors of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites, Composite Structures, 111147. 
  8. Hao, J., Li, C., Meng, Q., Li, Z., & Wu, D. (2019). Effect of Tilt Angle on Bead Morphology in Multi-Axis Laser Cladding, Journal of Manufacturing Processes, 43, 311-322. 
  9. Yu, T., Wu, D., & Li, Z. (2019). Predictive Modeling of Material Removal Rate in Chemical Mechanical Planarization with Physics-Informed Machine Learning, Wear, 426, 1430-1438. 
  10. Li, Z., Zhang, Z., Shi, J., & Wu, D. (2019). Prediction of Surface Roughness in Extrusion-based Additive Manufacturing with Machine Learning, Robotics and Computer-Integrated Manufacturing, 57, 488-495. 
  11. Li, Z., Wu, D., & Yu, T. (2019). Prediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning, Transactions of the ASME, Journal of Manufacturing Science and Engineering, 141(3), 031003. 
  12. Li, Z., Goebel, K., & Wu, D. (2019). Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning, Transactions of the ASME, Journal of Engineering for Gas Turbines and Power, 141(4), 041008. 
  13. Wu, D., Wei, Y., & Terpenny, J. (2018). Predictive Modeling of Surface Roughness in Fused Deposition Modeling Using Data Fusion, International Journal of Production Research
  14. Wu, D. & Xu, C. (2018). Predictive Modeling of Droplet Formation Processes in Inkjet-Based Bioprinting, Transactions of the ASME, Journal of Manufacturing Science and Engineering, 140(10), 101007. 
  15. Wu, D., Ren, A., Zhang, W., Fan, F., Liu, P., Fu, X., & Terpenny, J. (2018). Cybersecurity for Digital Manufacturing, Transactions of the SME, Journal of Manufacturing Systems, 48, 3-12. 
  16. Wang, J., Ma, Y., Zhang, L., Gao, R., & Wu, D. (2018). Deep Learning for Smart Manufacturing: Methods and Applications, Transactions of the SME, Journal of Manufacturing Systems, 48, 144-156. 
  17. Li, Z., Wu, D., Hu, C, & Terpenny, J. (2018). An Ensemble Learning-based Prognostic Approach with Degradation-Dependent Weights for Remaining Useful Life Prediction, Reliability Engineering and System Safety, 184, 110-122. 
  18. Wu, D., Jennings, C., Terpenny, J., Kumara, S., & Gao, R. (2018). Cloud-Based Parallel Machine Learning for Tool Wear Prediction, Transactions of the ASME, Journal of Manufacturing Science and Engineering, 140(4), 041005. 
  19. Wu, D., Jennings, C., Terpenny, J., Gao, R., & Kumara, S. (2017). A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests, Transactions of the ASME, Journal of Manufacturing Science and Engineering, 139(7), 071018. 
  20. Wu, D., Liu., S., Zhang, L., Terpenny, J., Gao, R, Kurfess, T., & Guzzo, J. (2017). A Fog Computing-Based Framework for Process Monitoring and Prognosis in Cyber-Manufacturing, Transactions of the SME, Journal of Manufacturing Systems, 43(1), 25-34. 
  21. Wu, D., Liu, X., Hebert, S., Gentzsch, W., & Terpenny, J. (2017). Democratizing Digital Design and Manufacturing Using High Performance Cloud Computing: Performance Evaluation and Benchmarking, Transactions of the SME, Journal of Manufacturing Systems, 43(1), 316-326.
  22. Jennings, C., Wu, D., & Terpenny, J. (2016). Forecasting Obsolescence Risk and Product Life Cycle with Machine Learning, IEEE Transactions on Components, Packaging, and Manufacturing Technology, 6(9), 1428-1439. 
  23. Wu, D., Rosen, D.W., Panchal, J., & Schaefer, D. (2016). Understanding Communication and Collaboration in Social Product Development through Social Network Analysis, Transactions of the ASME, Journal of Computing and Information Science in Engineering, 16(1), 011001. 
  24. Wu, D., Terpenny, J., & Gentzsch, W. (2015). Economic Benefit Analysis of Cloud-Based Design, Engineering Analysis, and Manufacturing, Transactions of the ASME, Journal of Manufacturing Science and Engineering, 137(4), 040903. 
  25. Wu, D., Rosen, D.W., & Schaefer, D. (2015). Scalability Planning for Cloud-Based Manufacturing Systems, Transactions of the ASME, Journal of Manufacturing Science and Engineering, 137(4), 040911. 
  26. Wu, D., Rosen, D.W., Wang, L., & Schaefer, D. (2015). Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation, Computer-Aided Design, 59(1), 1-14. 
  27. Wu, D., Thames, J.L., Rosen, D.W., & Schaefer, D. (2013). Enhancing the Product Realization Process with Cloud-Based Design and Manufacturing Systems, Transactions of the ASME, Journal of Computing and Information Science in Engineering, 13(4), 041004-041004-14. 
  28. Wu, D., Greer, M.J., Rosen, D.W., & Schaefer, D. (2013). Cloud Manufacturing: Strategic Vision and State-of-the-Art, Transactions of the SME, Journal of Manufacturing Systems, 32(4), 564-579. 
  29. Wu, D., Zhang, L., Jiao, J., & Lu, R. (2013). SysML-based Design Chain Information Modeling for Variety Management in Production Reconfiguration, Journal of Intelligent Manufacturing, 24(3), 575-596. 

Peer Reviewed Conference Papers

  1. Wei, Y., Wu, D. & Terpenny, J. (2019). A Decision-Level Data Fusion Approach to Surface Roughness Prediction, Proceedings of the ASME 2019 Manufacturing and Science Engineering Conference, Erie, PA, U.S.
  2. Mansfield, B., Torres, S., Yu, T. & Wu, D. (2019). A Review on Additive Manufacturing of Ceramics, Proceedings of the ASME 2019 Manufacturing and Science Engineering Conference, Erie, PA, U.S.
  3. Li, Z. & Wu, D. (2018). A Data-driven Approach to Material Removal Rate Prediction in Chemical Mechanical Polishing.Annual Conference of the Prognostics and Health Management Society.
  4. Wei, Y., Wu, D. & Terpenny, J. (2018). Predictive Maintenance for Aircraft Engines Using Data Fusion, Proceedings of the 2018 IISE Annual Conference, Orlando, Florida, U.S.
  5. Wu, D., Xu, C. & Krishnamoorthy, S. (2018). Predictive Modeling of Droplet Velocity and Size in Inkjet-Based Bioprinting,Proceedings of the ASME 2018 Manufacturing and Science Engineering Conference, College Station, Texas, U.S.
  6. Wu, D., Wei, Y. & Terpenny, J. (2018). Surface Roughness Prediction in Additive Manufacturing Using Machine Learning,Proceedings of the ASME 2018 Manufacturing and Science Engineering Conference, College Station, Texas, U.S.
  7. Li, Z., Wu, D., Hu, C. & Terpenny, J. (2017). An Ensemble Learning-based Prognostic Approach with Degradtion-Dependent Weights: Prediction of Remaining Useful Life for Aircraft Engines, Proceedings of the ASME 2017 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Cleveland, Ohio, U.S. 
  8. Shih, A., Park, D.W, Yang, Y., Chisena, R., & Wu, D. (2017). Cloud-Based Design and Manufacturing of Custom Orthoses,Proceedings of the 50th CIRP Conference on Manufacturing Systems, Taiwan.
  9. Wu, D., Jennings, C., Terpenny, J., Gao, R. & Kumara, S. (2017). Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear, Proceedings of the ASME 2017 International Manufacturing Science and Engineering Conference, Paper Number: MSEC2017-2679, Los Angeles, CA, U.S. 
  10. Ren, A., Wu, D., Terpenny, J., Zhang, W., & Liu, P. (2017). Cyber Security in Smart Manufacturing: Survey and Challenges, Proceedings of the 2017 Industrial and Systems Engineering Research Conference, Pittsburgh, Pennsylvania, U.S. 
  11. Wu, D., Jennings, C., Terpenny, J., & Kumara, S. (2016). Cloud-Based Machine Learning for Predictive Analytics: Prediction of Tool Wear. IEEE International Conference on Big Data, Washington D.C., U.S. 
  12. Jennings, C., Wu, D., & Terpenny, J. (2016). Forecasting Obsolescence Risk Using Machine Learning. Proceedings of the ASME 2016 International Manufacturing Science and Engineering Conference, Paper Number: MSEC2016-8625, Blacksburg, Virginia, U.S. 
  13. Jennings, C., Wu, D., and Terpenny, J. (2016). Forecasting Product Obsolescence Using Machine Learning, Industrial and Systems Engineering Research Conference, May 21-24, 2016, Anaheim, California. 
  14. Wu, D., Terpenny, J., & Schaefer, D. (2016). A Survey of Cloud-based Design and Engineering Analysis Software Tools. Proceedings of the ASME 2016 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Charlotte, North Carolina, U.S. 
  15. Wu, D., Terpenny, J., Zhang, L., Gao, R, & Kurfess, T. (2016). Fog-Enabled Architecture for Data-Driven Cyber-Manufacturing Systems. Proceedings of the ASME 2016 International Manufacturing Science and Engineering Conference, Paper Number: MSEC2016-8559, Blacksburg, Virginia, U.S. 
  16. Wang, P., Gao, R., Wu, D., & Terpenny, J. (2016). A Computational Framework for Cloud-Based Machine Prognosis. Proceedings of the 49th CIRP Conference on Manufacturing Systems, Stuttgart, Germany. 
  17. Wu, D., Liu. X., Hebert, S., Gentzsch, W., & Terpenny, J. (2015). Performance Evaluation of Cloud-Based High Performance Computing for Finite Element Analysis. Proceedings of the ASME 2015 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Boston, Massachusetts, U.S. 
  18. Wu, D., Terpenny, J., & Gentzsch, W. (2015). Cloud-Based Design, Engineering Analysis, and Manufacturing: A Cost-Benefit Analysis. Proceedings of the 43rd SME North American Manufacturing Research Conference (NAMRC) and the 10th ASME 2015 Manufacturing Science and Engineering Conference (MSEC2015), Charlotte, North Carolina. 
  19. Wu, D., Rosen, D.W., & Schaefer, D. (2014). Modeling and Analyzing the Material Flow of Crowdsourcing Processes in Cloud-Based Manufacturing Systems Using Stochastic Petri Nets. Proceedings of the ASME 2014 International Manufacturing Science and Engineering Conference, Paper Number: MSEC2014-3907, Detroit, Michigan, U.S. 
  20. Wu, D., Rosen, D.W., Wang, L., & Schaefer, D. (2014). Cloud-Based Manufacturing: Old Wine in New Bottles?. Proceedings of the 47th CIRP Conference on Manufacturing Systems, Windsor, Canada, pp. 94-99, DOI: 10.1016/j.procir.2014.01.035. 
  21. Wu, D., Morlock, M., Pande, P., Rosen, D.W., & Schaefer, D. (2013). Incorporating Social Product Development in Distributed Collaborative Design Education. Proceedings of the ASME 2013 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Portland, Oregon, U.S. 
  22. Wu, D., Schaefer, D., & Rosen, D.W. (2013). Cloud-Based Design and Manufacturing Systems: A Social Network Analysis. International Conference on Engineering Design, Seoul, Korea. 
  23. Wu, D., Greer, M.J., Rosen, D.W., & Schaefer, D. (2013). Cloud Manufacturing: Drivers, Current Status, and Future Trends. Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference, Paper Number: MSEC2013-1106, Madison, Wisconsin, U.S. 
  24. Wu, D., Thames, J.L., Rosen, D.W., & Schaefer, D. (2012). Towards a Cloud-Based Design and Manufacturing Paradigm: Looking Backward, Looking Forward. Proceedings of the ASME 2012 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Paper Number: DETC2012-70780, Chicago, U.S. 
  25. Schaefer, D., Thames, J.L., Wellman, R.D., Wu, D., Yim, S., & Rosen, D.W. (2012). Distributed Collaborative Design and Manufacture in the Cloud – Motivation, Infrastructure, and Education. 2012 American Society for Engineering Education Annual Conference, Paper #AC2012-3017, San Antonio, U.S. 
  26. Zhou, W., Wu, D., Ding, X., & Rosen, D.W. (2010). Customer Co-design of Computer Mouse for Mass Customization without Causing Mass Confusion. 2010 International Conference on Manufacturing Automation, Hong Kong, China.