Micro-mechanical properties characterization of shot peening strengthened layer with nanoindentation

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Feinong Gao, Lijing Xie, Mingjian Peng, Ting Sun, Xingyu Li, Siqin Pang, Xibin Wang
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引用次数: 0

Abstract

In this work, the influences of shot peening (SP) on ultra-high strength steel were investigated. For the characterization of the strengthened layer, an inclined specimen was proposed for X-ray diffraction and nanoindentation, the micro-mechanical properties in the strengthened layer were studied with both experimental and crystal plasticity finite element (CPFE) analysis. It's noted that SP introduced grain refinement and compressive residual stress were highly concentrated in the surface layer due to the high strength and hardness, and the maximum depth influenced was only 0.1 mm. Based on simulation results, it's found that the differences in nanoindentation loading curves were introduced by the work done by residual stresses. To estimate the residual stress in the strengthened layer, a modified model was proposed with nanoindentation. The newly proposed model gives improved estimation accuracy compared with Wang's model, and it could give more precise results in contrast to the X-ray diffraction method for strengthened layers.

利用纳米压痕技术表征喷丸强化层的微机械特性
这项工作研究了喷丸强化(SP)对超高强度钢的影响。为表征强化层的特性,提出了一个倾斜试样,用于 X 射线衍射和纳米压痕,并通过实验和晶体塑性有限元(CPFE)分析研究了强化层的微观力学性能。结果表明,由于强度和硬度较高,引入 SP 的晶粒细化和压残余应力高度集中在表层,最大影响深度仅为 0.1 毫米。根据模拟结果,我们发现纳米压痕加载曲线的差异是由残余应力做功引起的。为了估算强化层中的残余应力,提出了一个纳米压痕修正模型。与 Wang 的模型相比,新提出的模型提高了估算精度,与 X 射线衍射法相比,它能为强化层提供更精确的结果。
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来源期刊
Mechanics of Materials
Mechanics of Materials 工程技术-材料科学:综合
CiteScore
7.60
自引率
5.10%
发文量
243
审稿时长
46 days
期刊介绍: Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.
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