Scholarlink

<p>High-fidelity microstructure evolution and strength prediction models are valuable to industry for the design of robust manufacturing processes and the assurance of consistent outcomes in terms of meeting product requirements. In recent years, several commercial software packages (e.g., TC-PRISMA, PanPrecipitation, JMatPro) have become available to industrial users. One of these, TC-PRISMA, has been licensed by Haynes International. A validation study was conducted on two commercial Ni-based superalloys, HAYNES<sup>®</sup> 282<sup>®</sup> and HAYNES<sup>®</sup> 233<sup>®</sup> alloys. Specifically, the evolution of the mean gamma-prime size (the main strengthening phase in both alloys) was simulated during isothermal aging for several thousand hours and compared with measured values. Furthermore, room-temperature tensile properties were measured under the same aging conditions, correlated with the mean gamma-prime size, and compared with strength prediction models tuned for Ni-base superalloys. Critical material parameter inputs and the current level of predictive capability are discussed, along with suggestions for warranted further improvements of these computational tools from a user perspective.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Contribution to the Validation of Microstructure Evolution and Strength Prediction Models on Two Commercial γʹ-Strengthened Ni-Base Superalloys

  • 期刊论文

  • 发表日期：

    2026年7月17日

查看全文
  • Michael G. Fahrmann,
  • Owen L. Appel,
  • Thomas R. Mann

摘要

High-fidelity microstructure evolution and strength prediction models are valuable to industry for the design of robust manufacturing processes and the assurance of consistent outcomes in terms of meeting product requirements. In recent years, several commercial software packages (e.g., TC-PRISMA, PanPrecipitation, JMatPro) have become available to industrial users. One of these, TC-PRISMA, has been licensed by Haynes International. A validation study was conducted on two commercial Ni-based superalloys, HAYNES® 282® and HAYNES® 233® alloys. Specifically, the evolution of the mean gamma-prime size (the main strengthening phase in both alloys) was simulated during isothermal aging for several thousand hours and compared with measured values. Furthermore, room-temperature tensile properties were measured under the same aging conditions, correlated with the mean gamma-prime size, and compared with strength prediction models tuned for Ni-base superalloys. Critical material parameter inputs and the current level of predictive capability are discussed, along with suggestions for warranted further improvements of these computational tools from a user perspective.