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Prediction of Microstructure Behavior During Large-Scale Hot Forging of Ni-Based Superalloy

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Forming the Future

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))

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Abstract

For the production of large heat-resistant components, improving the prediction accuracy of microstructural behavior by the finite element method leads cost and time reduction in process optimization. To perform this task, it is essential to predict the recrystallization behavior accurately, during hot forging and heat treatment of Ni-base superalloys. So far, many researchers have used the Avrami equation to predict the recrystallization behavior. However, this uses experimental coefficients determined empirically for each process, so it is not suitable for predicting the microstructure of large-scale hot forged parts with different complex deformation and thermal histories at different locations. Because the recrystallization behavior is considered to depend on the path, and on the temperature, strain, and strain rate at that time. Therefore, an incremental form of a prediction model based on the Avrami equation has been developed as a solution. Optimized parameters for the incremental model were obtained by using a genetic algorithm which is an adaptive heuristic search algorithm. At this time, it is not enough to use only the results of small tests at the laboratory level as training data for genetic algorithm. This is because the thermal histories and distributions have a large difference between the small specimens and the large parts. In this study, 1,500 and 50,000 t class forging tests were performed, and the parameters in the prediction model were determined using these results as learning data. As a result, the average error of prediction was reduced to about half.

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References

  1. Chang S-H, Lee S-C, Tang T-P, Ho H-H (2006) Influences of soaking time in hot isostatic pressing. Mater Trans 47(2):426–432

    Article  CAS  Google Scholar 

  2. Hatta T, Hironaka T, Yoshida H, Isogawa,S, Masunaga A (2007) Process Modeling of INCONEL alloy 718 for Free Forging. Denki Seiko 78(3):215–220

    Google Scholar 

  3. Matsui T (2013) High temperature deformation and dynamic recrystallisation behavior of Inconel 718. Mater Trans 54:512–519

    Article  CAS  Google Scholar 

  4. Yamada T, Abe E, Osawa C, Yukawa N (2018) Prediction on microstructure and mechanical properties of hot forged Ni-based super alloy by optimization using genetic algorithms. Proc. Manuf 15:356–363

    Google Scholar 

  5. Takayama Y, Tozawa T, Kato H, Kato S, Furushiro N, Hori S (1988) Change in the grain size distribution during grain growth in recrystallized aluminum. J Jpn Inst Met Mater 52(5):465–471

    Article  CAS  Google Scholar 

  6. Gangshu Shen SL, Semiatin RS (1995) Modeling microstructural development during the forging of Waspaloy. Metall Mater Trans A 26:1795–1803

    Article  Google Scholar 

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Correspondence to Nobuki Yukawa .

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Yukawa, N., Osawa, C., Yamada, T., Abe, E. (2021). Prediction of Microstructure Behavior During Large-Scale Hot Forging of Ni-Based Superalloy. In: Daehn, G., Cao, J., Kinsey, B., Tekkaya, E., Vivek, A., Yoshida, Y. (eds) Forming the Future. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-75381-8_20

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