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Yue Zhao
Yue Zhao Ph.D.
Department of Mechanical Engineering,
Tsinghua University, PR China

Dr. Yue Zhao is an assistant researcher in the Department of Mechanical Engineering of Tsinghua University, China. She got her B.S. and Ph.D. from Tsinghua University in 2006 and 2012, respectively. During this period, she also received her M.S. from Tohoku University, Japan, in 2009. After post-doctor in Tsinghua University, she joined the Department of Mechnical Engineering of Tsinghua University as a faculty member. Her research interests include residual stress and deformation of metal additive manufacturing, metallurgy and mechanics of welding. Her research involves a variety of advanced materials such as titanium alloys, Ti-Al based intermetallic compounds, aluminum alloys, superalloys

Research on high-efficient prediction and measurement of deformation during metal additive manufacturing

Due to the complex non-equilibrium thermal process, the problem of component deformation is one of the major bottleneck restricting the application of metal additive manufacturing. The present study focus on the numerical prediction and in situ measurement of deformation during directed energy deposition processing. The temperature filed and deformation were accurately predicted by transient thermal-force sequential coupled finite element analysis, the error of temperature is within 10%. In order to improve the efficiency of calculation, the high efficient segmented temperature function method and segmented heat source method were applied to deformation prediction, respectively. On the basis of maintaining relatively high accuracy, the prediction efficiency can be increased by more than 90%. On the other hand, the continuous full-field strain during deposition was in situ measured based on digital image correlation method. The transient strain evolution and deformation mode of titanium alloy single-arm wall during manufacturing were revealed.

  • DAYS
Key Dates
   Deadline for Submission of Abstract:
  October 31, 2018
   Notification of abstract acceptance:
   November 15, 2018