Analysis of bending behavior of ultra-thin austenitic stainless steel sheets considering surface effect

IF 2.6 3区 材料科学 Q2 ENGINEERING, MANUFACTURING
Jaebong Jung, Parviz Kahhal, Joo-Hee Kang, Ji Hoon Kim
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Abstract

In this study, the influence of the surface effect on the bending behavior of ultra-thin austenitic stainless steel sheets was investigated. The presence of grains on the surface, which induces softening due to the absence of grain boundaries, can significantly impact the bending behavior. This phenomenon introduces errors in predicting bending behavior solely based on the tensile properties. To evaluate the strain-path dependent behaviors in bending, three-point bending experiments were performed on both unstretched and stretched austenitic stainless steel specimens with a thickness of 0.2 mm. To account for the distinct behavior of surface and inner grains, a surface layer model was developed, dividing the sheet thickness into surface and inner layers. Machine learning-based multi-objective optimization was used to calibrate the material parameters for each layer. The study examined the influence of the surface effect, thickness of the surface layer, and the choice of hardening model on the material behaviors. The findings revealed the important role played by the surface layer and highlighted the differences between the surface and inner layers. These results contribute to a better understanding of the bending behavior of ultra-thin austenitic stainless steel sheets, ultimately improving the accuracy of bending force predictions in engineering simulations.

Abstract Image

考虑表面效应的超薄奥氏体不锈钢板弯曲行为分析
本研究调查了表面效应对超薄奥氏体不锈钢板弯曲行为的影响。表面晶粒的存在会因晶界的缺失而导致软化,从而对弯曲行为产生重大影响。这种现象会给仅根据拉伸特性预测弯曲行为带来误差。为了评估弯曲过程中的应变路径依赖行为,对厚度为 0.2 毫米的奥氏体不锈钢试样进行了三点弯曲实验。为了考虑表层和内层晶粒的不同行为,开发了表层模型,将钢板厚度分为表层和内层。基于机器学习的多目标优化用于校准每一层的材料参数。研究考察了表面效应、表层厚度和硬化模型的选择对材料行为的影响。研究结果揭示了表层所起的重要作用,并强调了表层和内层之间的差异。这些结果有助于更好地理解超薄奥氏体不锈钢板的弯曲行为,最终提高工程模拟中弯曲力预测的准确性。
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来源期刊
International Journal of Material Forming
International Journal of Material Forming ENGINEERING, MANUFACTURING-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.10
自引率
4.20%
发文量
76
审稿时长
>12 weeks
期刊介绍: The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material. The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations. All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.
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