Corrosion Behavior and Prediction of Rolled/Additive Manufactured Ti-6al-4v Joints in Seawater Environment

22 Pages Posted: 27 Jul 2024

See all articles by Linshan Gao

Linshan Gao

affiliation not provided to SSRN

Hongxia Zhang

Taiyuan University of Technology

Hailong Zhi

affiliation not provided to SSRN

Huaishen Wang

affiliation not provided to SSRN

Peng DONG

Taiyuan University of Technology

Abstract

The rolling-additive hybrid manufacturing technology (RAHM) can achieve the greatest balance between molding efficiency and cost of Ti-6Al-4V. Welding used to connect different components in the RAHM is unavoidable. The corrosion behavior and prediction of welded joints are crucial for assessing the reliability of underwater equipment. In this paper, the laser metal deposition (LMD) additive manufacturing Ti-6Al-4V alloy was successfully connected with the rolling Ti-6Al-4V plate by electron beam welding (EBW). Then the corrosion behavior of welded joints was investigated through immersion experiments, electrochemical corrosion experiments and microstructural characterization. Finally, a corrosion model was established based on the corrosion behavior and corrosion parameters of the welded joints. The results show that non-uniform corrosion occurs on welded joints in seawater environment. The corrosion resistance of welded joints is primarily influenced by grain orientation, phase composition, surface microstructure, and grain boundary angles. The model predicted the corrosion depth of the welded joints at 150 and 200 days. The error was within 20% compared with the experimental results, which verified the scientific validity and accuracy of the model.

Keywords: rolling-additive hybrid manufacturing, electron beam welding, Corrosion behavior, prediction

Suggested Citation

Gao, Linshan and Zhang, Hongxia and Zhi, Hailong and Wang, Huaishen and DONG, Peng, Corrosion Behavior and Prediction of Rolled/Additive Manufactured Ti-6al-4v Joints in Seawater Environment. Available at SSRN: https://ssrn.com/abstract=4907553 or http://dx.doi.org/10.2139/ssrn.4907553

Linshan Gao

affiliation not provided to SSRN ( email )

Hongxia Zhang

Taiyuan University of Technology ( email )

Hailong Zhi

affiliation not provided to SSRN ( email )

Huaishen Wang

affiliation not provided to SSRN ( email )

Peng DONG (Contact Author)

Taiyuan University of Technology ( email )

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