Microstructural evolution rule and prediction modelling of the surface layer during dry machining of AISI 9310

IF 5.4 2区工程技术 Q2 ENGINEERING, MANUFACTURING

CIRP Journal of Manufacturing Science and Technology Pub Date : 2025-06-18 DOI:10.1016/j.cirpj.2025.06.006

Tongyu Liu , Wenxiang Zhao , Lijing Xie , Engao Peng , Feinong Gao

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Abstract

This paper studies the microstructural evolution rule of the surface layer created by dry turning of AISI9310 steel. In this study, a coupled model with preheated tools and the ALE (Arbitrary Lagrangian-Eulerian) method of finite element method (FEM) is established to verify the evolution rules. In order to complete the various parameters in the evolution rules, a series of tests are conducted, including thermal compression, cutting, and EBSD (Electron Back - scatter Diffraction) characterization. Based on the experimental results, a hot processing map is established to explore the grain refinement mechanism, and the critical strain condition is obtained by fitting with polynomials of different orders. Through comparison between the FEM and EBSD results, it is found that the evolution rules given in this paper can achieve a stable and uniform metallographic transformation layer and grain refinement layer, and they are consistent with the physical process of actual cutting, metal phase transformation and grain size evolution.

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AISI 9310干式加工过程中表层组织演变规律及预测建模

研究了AISI9310钢干车削后表层组织演变规律。本文建立了具有预热工具的耦合模型和有限元法中的ALE（任意拉格朗日-欧拉）方法来验证其演化规律。为了完成演化规律中的各项参数，进行了热压缩、切割、EBSD（电子背散射衍射）表征等一系列测试。在实验结果的基础上，建立了热加工图，探索了晶粒细化机理，并通过不同阶多项式拟合得到了临界应变条件。通过对FEM和EBSD结果的对比，发现本文给出的演化规律能够实现稳定均匀的金相转变层和晶粒细化层，且与实际切削、金属相变和晶粒演化的物理过程相一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering

CiteScore

9.10

自引率

6.20%

发文量

166

审稿时长

63 days

期刊介绍： The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.