{"title":"New hot workability prediction method under non-constant deformation conditions","authors":"","doi":"10.1016/j.ijmecsci.2024.109778","DOIUrl":null,"url":null,"abstract":"<div><div>The deformation conditions of metallic materials constantly change during forming and manufacturing technology. The thermomechanical processing theory cannot be applied to non-constant deformation conditions. The hot workability is a manifestation of the deformation conditions that affect the microstructure. This paper proposes a new prediction method based on artificial intelligence, considering the combined effect of microstructure state and deformation conditions. The hot deformation experiments under constant and non-constant deformation conditions validate the proposed method. Dynamic variation in deformation conditions significantly affects the hot workability. The findings indicate that reasonable control of the dynamic variation in deformation conditions during thermomechanical processing is conducive to improving the hot workability, providing new ways for equipment upgrading and process parameter optimization of some thermal processing technologies.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020740324008191","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The deformation conditions of metallic materials constantly change during forming and manufacturing technology. The thermomechanical processing theory cannot be applied to non-constant deformation conditions. The hot workability is a manifestation of the deformation conditions that affect the microstructure. This paper proposes a new prediction method based on artificial intelligence, considering the combined effect of microstructure state and deformation conditions. The hot deformation experiments under constant and non-constant deformation conditions validate the proposed method. Dynamic variation in deformation conditions significantly affects the hot workability. The findings indicate that reasonable control of the dynamic variation in deformation conditions during thermomechanical processing is conducive to improving the hot workability, providing new ways for equipment upgrading and process parameter optimization of some thermal processing technologies.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.