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Solidification behavior in dissimilar metal welds

Research Scholar

Ivan Mendoza Bravo, Materials Science and Engineering (Mexico)
John C. Lippold, Faculty Mentor


Ivan Mendoza Bravo was born in Córdoba, Veracruz, México and studied mechanical engineering at Veracruz Institute of Technology. While interning at a research center, he became interested in welding engineering and was motivated to complete his master's and doctorate degrees in materials science with an emphasis in welding metallurgy. He is currently performing his postdoctoral research on dissimilar welding joints under the guidance of John C. Lippold in the Welding and Joining Metallurgy Group at The Ohio State University.

What is the issue or problem addressed in your research?

The dissimilar metal welds (DMW) are necessary in several industries such as petrochemical, power generation and offshore to meet the expected service conditions and environments. Unfortunately, the DMW have metallurgical drawbacks that lead to in-service failure, which has been evaluated in $310,250,000 dollars per year.

What methodology did you use in your research?

To study the solidification behavior of the fusion boundary region (FBR) in a DMW between HSLA steel and Ni-based alloy, several FBR were simulated with different dilutions performed in the button arc melting process and later, partially melted by GTA spot welding to obtain the temperatures of the solidification process. Thereafter, the solidus temperature and phase transformations were determined by SSDTA® and thermodynamic software to develop a diagram of solidification patterns. Furthermore, actual DMW were developed to compare with the simulated microstructures.

What are the purpose/rationale and implications of your research?

Is important to understand the metallurgical properties of the DMW with the purpose of determining the cause of the failures in the DMW. Whit this project is possible to establish the optimal conditions to develop DMW with the properties required, and delimited their scope and limitations to avoid unexpected shutdowns hence reduces costs.