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Daichi Akama

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Scholarly Papers (1)

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Automated High-throughput Data Collection and Analysis of Composition-Process-Structure Relations by Utilizing Casting Segregation in a Ni-base Superalloy

Number of pages: 40 Posted: 04 Jun 2026
Thomas Hoefler, Ayako Ikeda, Satoshi Utada, Makoto Osawa, Kyoko Kawagishi, Toru Hara, Takahito Ohmura, Daichi Akama, Masaki Taneike and Toshio Osada
National Institute for Materials Science, National Institute for Materials Science - Research Center for Structural Materials, National Institute for Materials Science, National Institute for Materials Science, National Institute for Materials Science (NIMS) - Research Center for Structural Materials, National Institute for Materials Science, National Institute for Materials Science, affiliation not provided to SSRN, affiliation not provided to SSRN and National Institute for Materials Science (NIMS) - Research Center for Structural Materials
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High-throughput method, Image analysis, γ/γ′ Superalloy, Aging heat treatment, Casting segregation