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Effect of flush grinding on corrosion fatigue behavior of step-aged 7020 aluminum alloys

  • Ibrahim Semih Topcuoğlu

    Ibrahim Semih Topcuoğlu was born in 1992. He has a master’s degree and he was a student in Ataturk University Graduate School of Natural and Applied Sciences Erzurum, Turkiye. His fields of work; fatigue, corrosion fatigue, and welding technology.

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    , Halil Ibrahim Yurdgülü

    Halil Ibrahim Yurdgülü was born in 1989 and a student in Ataturk University Graduate School of Natural and Applied Sciences Erzurum, Turkiye. His fields of work; fatigue, corrosion fatigue, corrosion, chemical corrosion, electrochemical corrosion, stress corrosion cracking, and welding and electric arc spray coating technology.

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    , Recep Sadeler

    Recep Sadeler was born in 1966 and has been working as Professor in the Department of Mechanical Engineering, Ataturk University, Erzurum, Turkiye. His research interests are material science, mechanical, chemical and electrochemical corrosion, biomedical, fatigue, fretting fatigue, corrosion fatigue, mechanical testing.

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    and Barış Koç

    Barış Koç was born in 1975 and has been working as a chief special processes engineer in FNSS Savunma Sistemleri A.S., Ankara, Turkiye. He has a master’s degree in metallurgical and materials engineering and he works on aluminum materials and joining technologies.

Published/Copyright: April 9, 2025
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Abstract

In this study, the effect of flush grinding process on the corrosion fatigue behavior of step heat treated 7020 aluminum alloys was investigated. Corrosive fatigue tests were performed with a plane bending device in an atmospheric environment and in a corrosive environment provided by fresh sea water brought from the Black Sea. While performing fatigue tests, the stress ratio was taken as R = 0. In the experimental study, it was observed that the fatigue strength of both the two-step aged samples and the two-step aged + flush grinding treated samples in the atmospheric environment was better than in the corrosion environment. It was observed that the flush grinding process had no improving effect on the corrosion fatigue properties of the samples subjected to the two-step aging.


Corresponding author: Recep Sadeler, Department of Mechanical Engineering, Ataturk University, Erzurum, Türkiye, E-mail:

About the authors

Ibrahim Semih Topcuoğlu

Ibrahim Semih Topcuoğlu was born in 1992. He has a master’s degree and he was a student in Ataturk University Graduate School of Natural and Applied Sciences Erzurum, Turkiye. His fields of work; fatigue, corrosion fatigue, and welding technology.

Halil Ibrahim Yurdgülü

Halil Ibrahim Yurdgülü was born in 1989 and a student in Ataturk University Graduate School of Natural and Applied Sciences Erzurum, Turkiye. His fields of work; fatigue, corrosion fatigue, corrosion, chemical corrosion, electrochemical corrosion, stress corrosion cracking, and welding and electric arc spray coating technology.

Recep Sadeler

Recep Sadeler was born in 1966 and has been working as Professor in the Department of Mechanical Engineering, Ataturk University, Erzurum, Turkiye. His research interests are material science, mechanical, chemical and electrochemical corrosion, biomedical, fatigue, fretting fatigue, corrosion fatigue, mechanical testing.

Barış Koç

Barış Koç was born in 1975 and has been working as a chief special processes engineer in FNSS Savunma Sistemleri A.S., Ankara, Turkiye. He has a master’s degree in metallurgical and materials engineering and he works on aluminum materials and joining technologies.

Acknowledgment

The authors thank Prof. Dr. Yoshiharu Mutoh, Nebahat Karasu Atabey and Sadrettin Gölcügezli for extending support in carrying out this research work. The authors also thank FNSS Savunma Sistemleri A.S.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors (IST, HIY, RS, BK) have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interests: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Published Online: 2025-04-09
Published in Print: 2025-06-26

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