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Publications

Journal Articles

  1. P. Wang, Y. Yang, N. S. Moghaddam, “Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges”, Journal of Manufacturing Processes, Vol. 73, pp. 961-984 Jan. 2022.Link
  2. L. Di, Y. Yang, “Greenhouse Gas Emission Analysis of Integrated Production-Inventory-Transportation Supply Chain Enabled by Additive Manufacturing”, Journal of Manufacturing Science and Engineering, 144(3), Aug. 2022. Link
  3. W. Cui, Y. Yang, L. Di, F. Dababneh, “Additive manufacturing-enabled supply chain: Modeling and case studies on local, integrated production-inventory-transportation structure”, Additive Manufacturing, Vol. 48, Part B, Dec. 2021. Link
  4. M. Han, Y. Yang, L. Li, “Techno-economic modeling of 4D printing with thermo-responsive materials towards desired shape memory performance”, IISE Transactions, Oct. 2021. Link
  5. B. B. Ravichander, S. Thakare, A. Ganesh-Ram, B. Farhang, M. Hanumantha, Y. Yang, N. S. Moghaddam, A. Amerinatanzi, “Cost-Aware Design and Fabrication of New Support Structures in Laser Powder Bed Fusion: Microstructure and Metallurgical Properties”, Applied Sciences, Vol. 11, Issue 21, Jan. 2021. Link
  6. L. Di, and Y. Yang, “Cost Modeling and Evaluation of Direct Metal Laser Sintering with Integrated Dynamic Process Planning”, Sustainability, Vol. 13, No.1, pp. 319, 2021.https://www.mdpi.com/2071-1050/13/1/319
  7. T. Peng, Y. Wang, Y. Zhu, Y. Yang, Y. Yang, and R. Tang, “Life Cycle Assessment of Selective-Laser-Melting-Produced Hydraulic Valve Body with Integrated Design and Manufacturing Optimization: A Cradle-to-Gate Study”, Additive Manufacturing, Vol. 36, pp.101530, Dec. 2020. https://www.sciencedirect.com/science/article/pii/S2214860420309027
  8.  J. Zhao, Y. Yang, and L. Li, “A Comprehensive Evaluation for Different Post-Curing Methods Used in Stereolithography Additive Manufacturing”, Journal of Manufacturing Processes, Vol.56, pp.867-877, Aug. 2020. Link
  9.  J. Zhao, Y. Yang, and L. Li, “Efficiency-Aware Process Planning for Mask Image Projection Stereolithography: Leveraging Dynamic Time of Exposure”, Additive Manufacturing, In Press, June 2020. Link
  10. M. Han, Y. Yang, and L. Li, “Energy Consumption Modeling of 4D Printing Thermal-Responsive Polymers with Integrated Compositional Design for Material”, Additive Manufacturing, Vol.34, pp.101223, Aug. 2020. Link
  11. Y. Yang, M. He, and L. Li, “Power Consumption Estimation for Mask Image Projection Stereolithography Additive Manufacturing Using Machine Learning based Approach”, Journal of Cleaner Production, Vol.251, pp.119710, April 2020. Link
  12. T. Simon, Y. Yang, W.J. Lee, J. Zhao, L, Li, and F. Zhao, “Reusable Unit Process Life Cycle Inventory for Manufacturing: Stereolithography”, Production Engineering, Vol.13, No.6. pp.675-684, Sep. 2019. Link
  13. Y. Yang, L. Li, and J. Zhao, “Mechanical Property Modeling of Photosensitive Liquid Resin in Stereolithography Additive Manufacturing: Bridging Degree of Cure with Tensile Strength and Hardness”, Materials & Design, Vol.162, No.15, pp.418-428, Jan. 2019. Link
  14. Y. Yang, and L. Li, “Cost Modeling and Analysis for Mask Image Projection Stereolithography Additive Manufacturing: Simultaneous Production with Mixed Geometries”, International Journal of Production Economics, Vol.206, pp.146-158, Dec. 2018. Link
  15. L. Li, A. Haghighi, and Y. Yang, “A Novel 6-Axis Hybrid Additive-Subtractive Manufacturing Process: Design and Case Studies”, Journal of Manufacturing Processes, Vol.33, pp.150-160, June 2018. Link
  16. Y. Yang, and L. Li, “Total Volatile Organic Compound Emission Evaluation and Control for Stereolithography Additive Manufacturing Process”, Journal of Cleaner Production, Vol.170, No.1, pp.1268-1278, Jan. 2018. Link
  17. L. Li, A. Haghighi, and Y. Yang, “Theoretical Modelling and Prediction of Surface Roughness for Hybrid Additive–Subtractive Manufacturing Processes”, IISE Transactions, Vol.51, No.2, pp.124-135, March 2018. Link
  18. Y. Yang, L. Li, Y. Pan, and Z. Sun, “Energy Consumption Modeling of Stereolithography‐Based Additive Manufacturing Toward Environmental Sustainability”, Journal of Industrial Ecology, Vol.21, No.S1, pp.S168-S178, May 2017. Link

Conference Proceedings

  1. Y. Yang, F. Zhao, “Closing the material loop in additive manufacturing: A literature review on waste recycling”, IOP Conference Series: Materials Science and Engineering, Volume 1196, International Conference on Resource Sustainability (ICRS 2021), July 2021, Dublin, Ireland. Link
  2. J. Zhao, Y. Yang, and L. Li, “The Impact of Material Aging on Stereolithography Reliability: An Experimental Study”,  ASME 2020 15th International Manufacturing Science and Engineering Conference, 2020.
  3. C. Kan, Z. Ye, Y. Yang, L. Di, and D. Shah, “Multi-Extrusion Additive Manufacturing for Error Compensation: A Demonstrative Case Study”, ASME 2020 15th International Manufacturing Science and Engineering Conference, 2020.
  4. Y. Yang, M. He, and L. Li, “A New Machine Learning Based Geometry Feature Extraction Approach for Energy Consumption Estimation in Mask Image Projection Stereolithography”, Procedia CIRP, Vol.80, pp.741-745. The 26th CIRP Conference on Life Cycle Engineering, West Lafayette, IN, May 2019. Link
  5. Y. Yang, A. Haghighi, and L. Li, “Energy Consumption Study for 6-Axis Hybrid Additive-Subtractive Manufacturing Process”, Proceedings of the 2018 Industrial and Systems Engineering Conference, pp. 1019-1024, Orlando, FL, May 2018. Link
  6. Y. Yang, and L. Li, “Evaluation of Environmental Sustainability for Additive Manufacturing Batch Production”, ASME 2017 12th International Manufacturing Science and Engineering Conference (MSEC), pp.V002T01A038, Los Angeles, CA, June 2017. Link
  7. A. Haghighi, Y. Yang, and L. Li, “Dimensional Performance of As-Built Assemblies in Polyjet Additive Manufacturing Process”, ASME 2017 12th International Manufacturing Science and Engineering Conference (MSEC), pp.V002T01A039, Los Angeles, CA, June 2017. Link