Corrosion fatigue behavior of cast iron in simulated combustion product solutions of ammonia and methanol fuels

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2024-11-16 DOI:10.1016/j.ijfatigue.2024.108715

Yong Cai , Ziming Wang , Yihu Tang , Congcong Xu , Yingwei Song , Kaihui Dong , En-Hou Han

引用次数: 0

Abstract

The clean fuels of ammonia and methanol are used to replace diesel in shipbuilding industry, but there exists corrosion risk for the engine parts in combustion products. The corrosion fatigue behavior of cylinder liners cast iron in simulated combustion product solutions of ammonia, methanol and diesel fuels were investigated. The corrosion rate and corrosion fatigue sensitivity in the three simulated solutions are ammonia fuel < diesel fuel < methanol fuel. The type B graphite causes more severe matrix corrosion than type A flake graphite, and the ternary phosphorus eutectic has no significant effect on corrosion. For ammonia fuel, fatigue damage is dominated by stress concentration induced by flake graphite and phosphorous eutectic. For methanol and diesel, fatigue damage is mainly dominated by corrosion process induced by flake graphite.

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铸铁在氨和甲醇燃料模拟燃烧产物溶液中的腐蚀疲劳行为

造船业使用氨和甲醇等清洁燃料替代柴油，但燃烧产物对发动机部件存在腐蚀风险。研究了气缸套铸铁在氨气、甲醇和柴油燃料的模拟燃烧产物溶液中的腐蚀疲劳行为。三种模拟溶液的腐蚀速率和腐蚀疲劳敏感性分别为氨燃料、柴油燃料和甲醇燃料。与 A 型鳞片石墨相比，B 型石墨会导致更严重的基体腐蚀，而三元磷共晶对腐蚀没有明显影响。对于氨燃料，疲劳破坏主要是由鳞片石墨和磷共晶引起的应力集中造成的。对于甲醇和柴油，疲劳破坏主要是由鳞片石墨引起的腐蚀过程造成的。

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

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.