Rchr
J-GLOBAL ID:202301006214869450
Update date: Sep. 29, 2024
Ikushima Kazuki
イクシマ カズキ | Ikushima Kazuki
Affiliation and department:
Job title:
Associate Professor
Research theme for competitive and other funds (7):
- 2020 - 2023 Clarification of uncertainty in ultimate strength of ship structure by developing integrated analysis system of construction, strength and reliability
- 2019 - 2022 Systematization of analysis for welding hot cracking and establishment of crack prevention method using AI
- 2016 - 2019 Development of full-automatic line heating system
- 2016 - 2019 Structural analysis of ship hull using ultra large-scale welding mechanics analysis and collapse analysis
- 2015 - 2018 Development of 4 Dimensional CAE Visualization System for Assessment of Quality and Safety of Structures through Life Time Starting from Production
- 2014 - 2016 Investigation on mitigation of welding deformation on assembly of ship hull block using ultra large scale analysis method
- 2011 - 2013 船舶ブロック組立時における高精度変形予測システムの開発とその応用
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Papers (63):
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KATO Takuya, HIROSE Sora, MAEDA Shintaro, IKUSHIMA Kazuki, SHIBAHARA Masakazu. Development of Fast Prediction of Welding Residual Stress Using Machine Learning. Preprints of the National Meeting of JWS. 2023. 2023f. 268-269
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KATO Takuya, HIROSE Sora, MAEDA Shintaro, IKUSHIMA Kazuki, NOTSU Akira, SHIBAHARA Masakazu. Development of AI Line Heating System for Automated Manufacturing of Ship Hulls. Preprints of the National Meeting of JWS. 2023. 2023s. 142-143
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Yuki Yamauchi, Zhihao Li, Yuji Kitani, Masaharu Kuki, Kazuki Ikushima, Masakazu Shibahara. Numerical Study on Effect of Tool Shape on Mechanical Behavior during Friction Stir Welding. TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN. 2022. 108. 12. 991-1001
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KATO Takuya, YAMAUCHI Yuki, IKUSHIMA Kazuki, SHIBAHARA Masakazu. Study on Simplified Prediction Method of Inherent Strains by Gas Heating Using Machine Learning. Preprints of the National Meeting of JWS. 2022. 2022s. 130-131
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KATO Takuya, HIROSE Sora, TANGO Yoshihiko, KOMADA Shuji, YAMAUCHI Yuki, NOZU Ryo, IKUSHIMA Kazuki, SHIBAHARA Masakazu. Development of Surrogate Model for Fast Prediction of Residual Stress and Its Application. Preprints of the National Meeting of JWS. 2022. 2022f. 226-227
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MISC (1):
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MAEDA Shintaro, OKIMI Yui, ASHIDA Ryo, IKUSHIMA Kazuki, SHIBAHARA Masakazu, MA Ninshu. Study on Influence of Constraint on Hot Cracking. Preprints of the National Meeting of JWS. 2019. 2019. 0. 4-5
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