Fatigue damage and life prediction for AISI H13 steel under cyclic thermomechanical loading

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2024-11-19 DOI:10.1016/j.ijfatigue.2024.108718
Boya Wu , Guocai Xu , Meichen Liu , Yan Zhu , Junwan Li , Xiaochun Wu
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Abstract

Based on strain-controlled thermomechanical fatigue (TMF) experiments, this study conducts a comprehensive analysis of the TMF behavior of AISI H13 hot work die steel. Moreover, a life prediction model for the TMF behavior of AISI H13 steel has been developed and validated. The experimental results reveal that, under the in-phase (IP) and out-of-phase (OP) TMF conditions, the stress–strain response curves of AISI H13 steel under different mechanical strain amplitudes exhibits the similar evolution tendency. However, it is worth noting that in the stable TMF cycle, the hysteresis loop area is enlarged with the increase of the number of cycles, which can be attributed to the cyclic softening characteristics of the AISI H13 steel under cyclic thermomechanical loading. When examining different TMF conditions, it is found that at higher strain amplitudes and under OP TMF conditions, the hysteresis loop area significantly expands, leading to a substantial reduction in the TMF life of AISI H13 steel. From a microstructural perspective, the thermal–mechanical coupling effect makes the recovery of martensitic matrix and the coarsening of carbide precipitation, which substantiates the deterioration of mechanical properties of AISI H13 steel. Finally, a modified Ostergren model by integrating the hysteresis loop area has been developed to assess the TMF life of AISI H13 steel under complex thermomechanical loading conditions, and this refined model exhibits strong agreement with experimental data. An evaluation using scatter band shows that the predicted TMF life of AISI H13 steel are within 1.2 times the experimental values, which illustrates a high reliability and validity.

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循环热机械加载下 AISI H13 钢的疲劳损伤和寿命预测
本研究基于应变控制热机械疲劳(TMF)实验,对 AISI H13 热作模具钢的 TMF 行为进行了全面分析。此外,还建立并验证了 AISI H13 钢 TMF 行为的寿命预测模型。实验结果表明,在相内(IP)和相外(OP)TMF 条件下,AISI H13 钢在不同机械应变振幅下的应力-应变响应曲线表现出相似的演变趋势。但值得注意的是,在稳定的 TMF 循环中,滞环面积随着循环次数的增加而增大,这可能与 AISI H13 钢在循环热机械加载下的循环软化特性有关。在研究不同的 TMF 条件时发现,在较高的应变振幅和 OP TMF 条件下,磁滞环面积明显扩大,导致 AISI H13 钢的 TMF 寿命大大降低。从微观结构角度来看,热-机械耦合效应使马氏体基体恢复,碳化物析出变粗,从而证实了 AISI H13 钢机械性能的恶化。最后,通过整合磁滞环面积建立了改进的 Ostergren 模型,用于评估 AISI H13 钢在复杂热机械加载条件下的 TMF 寿命,该改进模型与实验数据非常吻合。利用散点带进行的评估表明,AISI H13 钢的 TMF 寿命预测值在实验值的 1.2 倍以内,这说明该模型具有很高的可靠性和有效性。
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
期刊介绍: Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.
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