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Comparative analysis of cutting methods and their impact on fatigue properties of armor steel

  • Umut Yaşar Uzunali

    Umut Yaşar Uzunali born in 1984, studied metallurgical and materials engineering at Yıldız Technical University from 2003 to 2008. Before he became an academician, he had been working in a company manufacturing armoured vehicles for 3 years. He is also welding engineer and non-destructive expert.

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    , Hamdullah Çuvalcı

    Hamdullah Çuvalcı born in 1965, studied mechanical engineering at Karadeniz Technical University from 1982 to 1986. He worked as a research assistant at Karadeniz Technical University after the graduate. After he obtained his doctorate, he has been working since 2004 at the department of metallurgical and materials. In addition, he has been working as a rector at the Karadeniz Technical University since 2019.

    and Ümit Kartal

    Ümit Kartal born in 1983, studied metallurgical and materials engineering at Istanbul Universtiy from 2002 to 2007. He completed his master’s degree in the same department in 2013. He has worked on casting and heat treatment in various sectors. He has been working as a quality manager and laboratory manager at the university since 2022.

Published/Copyright: February 5, 2025
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Abstract

Armor steel is widely used in various industries due to its exceptional yield strength and hardness. However, the cutting processes employed to shape these materials, such as laser and waterjet cutting, may exert a substantial influence on the fatigue resistance of the end product. Fatigue strength is a critical property in materials science, particularly when it comes to high strength steel. As industries strive for lighter and more efficient structures, the demand for materials with superior fatigue resistance becomes paramount. In this article, it is aimed to investigate the effects of laser and waterjet cutting processes on the fatigue strength of armor steel based on experimental results, highlighting the implications for structural integrity and performance. The samples cut by water jet and laser cutting processes were subjected to fatigue tests with and without anti-buckling apparatus. Fatigue tests were carried out at least four different stress values and S–N diagrams were created for 4 different situations. As a result of this study, it was determined that the fatigue strength of samples obtained by laser cutting method is lower than that of waterjet cutting samples. Additionally, it was observed that the fatigue strength of the samples using anti-buckling apparatus was higher.


Corresponding author: Umut Yaşar Uzunali, Metallurgical and Material Engineering, 52976 Karadeniz Technical University , Trabzon, Türkiye, E-mail:

About the authors

Umut Yaşar Uzunali

Umut Yaşar Uzunali born in 1984, studied metallurgical and materials engineering at Yıldız Technical University from 2003 to 2008. Before he became an academician, he had been working in a company manufacturing armoured vehicles for 3 years. He is also welding engineer and non-destructive expert.

Hamdullah Çuvalcı

Hamdullah Çuvalcı born in 1965, studied mechanical engineering at Karadeniz Technical University from 1982 to 1986. He worked as a research assistant at Karadeniz Technical University after the graduate. After he obtained his doctorate, he has been working since 2004 at the department of metallurgical and materials. In addition, he has been working as a rector at the Karadeniz Technical University since 2019.

Ümit Kartal

Ümit Kartal born in 1983, studied metallurgical and materials engineering at Istanbul Universtiy from 2002 to 2007. He completed his master’s degree in the same department in 2013. He has worked on casting and heat treatment in various sectors. He has been working as a quality manager and laboratory manager at the university since 2022.

  1. Research ethics: The authors of this article declare that the materials and methods used in this study do not require ethical committee permission and/or legal-special permission.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. Hamdullah Çuvalcı, Umut Yaşar Uzunali and Ümit Kartal performed the experiments and organized whole paper.

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

  5. Conflict of interest: The authors have no conflicts of interest to declare that are relevant to the content of this article.

  6. Research funding: None declared.

  7. Data availability: The authors confirm that data supporting the findings are available within the article. Raw data that support the findings of this study are available from the corresponding authors, upon reasonable request.

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Published Online: 2025-02-05
Published in Print: 2025-03-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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