Fatigue behaviour and S-N curve prediction of additively manufactured Inconel 718 using Self-Heating and Energy-Based methods

IF 5.7 2区 工程技术 Q1 ENGINEERING, MECHANICAL Engineering Failure Analysis Pub Date : 2025-06-01 Epub Date: 2025-03-08 DOI:10.1016/j.engfailanal.2025.109507
Martin Matušů , Bastian Roidl , Simon Amann , Jakub Rosenthal , Ivana Zetková , Miroslav Zetek
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Abstract

Inconel 718, a nickel-based superalloy, is extensively used in high-performance applications such as gas turbines, aerospace, and the nuclear and oil industries due to its exceptional fatigue resistance, corrosion resistance, and mechanical stability across a broad temperature range (−252 °C to over 700 °C). Its weldability and high-strength properties make it suitable for additive manufacturing (AM), particularly laser powder bed fusion (L-PBF). However, the dynamic properties of AM Inconel 718, influenced by surface roughness and microstructural variations, require thorough investigation. This study evaluates the mechanical properties of AM Inconel 718 in two build orientations produced using an EOS M290 printer. Static tests and hardness measurements were conducted to establish baseline properties. The fatigue behaviour was analysed using traditional S-N curve testing alongside a self-heating (S-H) methodology adapted from previous studies on AMed AlSi10Mg. The S-H method, focusing on temperature evolution during cyclic loading, was used to estimate the fatigue limit (FL) and S-N curve predictions. The LinExp method provided slightly conservative FL estimates, which served as lower thresholds for Fargione’s energy-based S-N curve model. Only two specimens per orientation were used, demonstrating its efficiency and resource-saving potential. This work underscores the viability of integrating innovative fatigue analysis techniques with traditional methods to optimize the design and evaluation of additively manufactured components.
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用自加热法和能量法预测增材制造Inconel 718的疲劳行为和S-N曲线
Inconel 718是一种镍基高温合金,由于其在广泛的温度范围(- 252°C至700°C以上)内具有优异的抗疲劳性,耐腐蚀性和机械稳定性,广泛用于燃气轮机,航空航天,核能和石油工业等高性能应用中。其可焊性和高强度特性使其适用于增材制造(AM),特别是激光粉末床熔融(L-PBF)。然而,AM Inconel 718的动态性能受表面粗糙度和微观组织变化的影响,需要深入研究。本研究使用EOS M290打印机在两种构建方向上评估AM Inconel 718的机械性能。进行静态测试和硬度测量以建立基准性能。使用传统的S-N曲线测试和自热(S-H)方法分析疲劳行为,该方法采用了先前对AMed AlSi10Mg的研究。采用S-H法对疲劳极限(FL)进行估计,并对S-N曲线进行预测。LinExp方法提供了稍微保守的FL估计,这是Fargione基于能量的S-N曲线模型的较低阈值。每个方向只使用2个标本,显示了其效率和资源节约潜力。这项工作强调了将创新的疲劳分析技术与传统方法相结合以优化增材制造部件的设计和评估的可行性。
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来源期刊
Engineering Failure Analysis
Engineering Failure Analysis 工程技术-材料科学:表征与测试
CiteScore
7.70
自引率
20.00%
发文量
956
审稿时长
47 days
期刊介绍: Engineering Failure Analysis publishes research papers describing the analysis of engineering failures and related studies. Papers relating to the structure, properties and behaviour of engineering materials are encouraged, particularly those which also involve the detailed application of materials parameters to problems in engineering structures, components and design. In addition to the area of materials engineering, the interacting fields of mechanical, manufacturing, aeronautical, civil, chemical, corrosion and design engineering are considered relevant. Activity should be directed at analysing engineering failures and carrying out research to help reduce the incidences of failures and to extend the operating horizons of engineering materials. Emphasis is placed on the mechanical properties of materials and their behaviour when influenced by structure, process and environment. Metallic, polymeric, ceramic and natural materials are all included and the application of these materials to real engineering situations should be emphasised. The use of a case-study based approach is also encouraged. Engineering Failure Analysis provides essential reference material and critical feedback into the design process thereby contributing to the prevention of engineering failures in the future. All submissions will be subject to peer review from leading experts in the field.
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