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[J012]: Zhang, H., Vallabh, C.K.P., and Zhao, X. (2022). Registration and fusion of large-scale melt pool temperature and morphology monitoring data demonstrated for surface topography prediction in LPBF. Additive Manufacturing, 103075. http://doi.org/10.1016/j.addma.2022.103075
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[J011]: Vallabh, C.K.P., Sridar, S., Xiong, W., and Zhao, X. (2022). Predicting melt pool depth and grain length using multiple signatures from in-situ single camera two-wavelength imaging pyrometry for laser powder bed fusion. Journal of Materials Processing Technology 308, 117724. http://doi.org/10.1016/j.jmatprotec.2022.117724
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[J010]:Vallabh, C.K.P., and Zhao, X. (2022). Melt pool temperature measurement and monitoring during laser powder bed fusion based additive manufacturing via single-camera two-wavelength imaging pyrometry (STWIP). Journal of Manufacturing Processes 79, 486-500. http://doi.org/10.1016/j.jmapro.2022.04.058
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[J009]: Vallabh, C.K.P., Zhang, Y., and Zhao, X. (2022). In-situ ultrasonic monitoring for Vat Photopolymerization. Additive Manufacturing 55, 102801. https://doi.org/10.1016/j.addma.2022.102801
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[J008]: Zhang, H., Vallabh, C.K.P., Xiong, Y., and Zhao, X. (2022). A systematic study and framework of fringe projection profilometry with improved measurement performance for in-situ LPBF process monitoring. Measurement 191, 110796. https://doi.org/10.1016/j.measurement.2022.110796
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[J007]: Vallabh, C.K.P. and X. Zhao. (2021). Continuous Comprehensive Monitoring of Melt Pool Morphology Under Realistic Printing Scenarios with Laser Powder Bed Fusion. 3D Printing and Additive Manufacturing. http://10.1089/3dp.2021.0060
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[J006]: Vallabh, C.K.P., Xiong, Y., & Zhao, X. (2021). 3D printing of liquid metal EGaIn through laser induced forward transfer: A proof-of-concept study. Manufacturing Letters, 28, 42-45.Elsevier BV. http://doi.org/10.1016/j.mfglet.2021.03.004.
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[J005]: Zhao, X., & Rosen, D.W. (2018). An implementation of real-time feedback control of cured part height in Exposure Controlled Projection Lithography with in-situ interferometric measurement feedback. Additive Manufacturing, 23, 253-263.Elsevier BV. http://doi.org/10.1016/j.addma.2018.07.016.
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[J004]: Zhao, X., & Rosen, D.W. (2017). Experimental validation and characterization of a real-time metrology system for photopolymerization-based stereolithographic additive manufacturing process. International Journal of Advanced Manufacturing Technology, 91(1-4), 1255-1273.Springer Science and Business Media LLC. http://doi.org/10.1007/s00170-016-9844-1.
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[J003]: Zhao, X., & Rosen, D.W. (2017). A data mining approach in real-time measurement for polymer additive manufacturing process with exposure controlled projection lithography. Journal of Manufacturing Systems, 43, 271-286.Elsevier BV. http://doi.org/10.1016/j.jmsy.2017.01.005.
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[J002]: Zhao, X., & Rosen, D.W. (2017). Real-time interferometric monitoring and measuring of photopolymerization based stereolithographic additive manufacturing process: sensor model and algorithm. Measurement Science and Technology, 28(1), 015001.IOP Publishing. http://doi.org/10.1088/0957-0233/28/1/015001.
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[J001]: Zhao, X., & Rosen, D.W. (2016). Simulation study on evolutionary cycle to cycle time control of exposure controlled projection lithography. Rapid Prototyping Journal, 22(3), 456-464.Emerald. http://doi.org/10.1108/rpj-01-2015-0008.