We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Microstructure-Specific Lifetime Prediction Method for Heavy-Section Castings Based on Non-Destructive Measurements During Fatigue Testing
Summary
Researchers developed a microstructure-specific lifetime prediction method for heavy-section ductile cast iron components using non-destructive measurements during fatigue testing, addressing the challenge that local microstructural variations in large castings significantly influence fatigue strength. The approach offers a more practical alternative to conventional specimen-based S-N curve determination for components such as wind turbine main shafts and planet carriers.
Abstract Heavy-section ductile cast iron components, such as main shafts or planet carriers in modern wind turbines, are produced under complex solidification and cooling conditions that lead to pronounced local variations in microstructure. These variations, governed by the casting process, significantly influence the fatigue strength and are currently compensated for by high safety factors in design. Conventional fatigue testing to determine microstructure-specific S-N curves requires a large number of specimens, which is impractical for heavy castings. This study presents the applicability of MiDAcLife, an accelerated fatigue testing approach that combines load increase tests (LIT) with thermometric monitoring to derive microstructure-specific S-N curves from only a few specimens and, thus, for only a very specific solidification and cooling condition. By analyzing the characteristic temperature response during LIT and applying a Palmgren–Miner-based evaluation, both fatigue strength and finite life regime are estimated. The method is demonstrated on industrially produced austempered ductile cast iron grade 2, heat-treated after sand casting, with casting simulation data used to select specimens of defined solidification modulus. The resulting virtual fatigue data show good agreement with constant amplitude tests. Moreover, it shows reproducibility for similar solidification and cooling conditions and, thus, is proven to be applicable for quality control. Therefore, the presented approach enables targeted, location-specific material characterization directly linked to casting parameters, supporting both component design optimization and quality control in foundry practice.
Sign in to start a discussion.
More Papers Like This
A nonlinear lifetime prediction method for un‐ and low alloyed steels by damage determination based on non‐destructive measurement techniques
This study developed a nonlinear lifetime prediction method for unalloyed and low-alloyed steels using damage determination based on cyclic deformation, aimed at reducing the number of fatigue specimens needed for nuclear power plant safety assessments. The method significantly reduced testing time and cost compared to conventional fatigue life assessment approaches.
Determination of energy dissipation during cyclic loading and its use to predict fatigue life of metal alloys
This paper is not about microplastics — it develops a mathematical method for predicting the fatigue life of metal alloys from energy dissipation during cyclic loading.
Continuum approach to fatigue life prediction based on defect size
Researchers developed a continuum-based fatigue life prediction model that incorporates defect size as a key parameter, addressing limitations of conventional cycle-counting methods that assume constant amplitude loading and are insufficient for multiaxial fatigue scenarios.
A damage-based uniaxial fatigue life prediction method for metallic materials
Researchers developed a faster method for determining how long metal components will last under repeated stress by tracking tiny changes in material stiffness as damage accumulates, rather than running tests until failure. The method was validated across ten different metals including steel, aluminum, and titanium, consistently matching results from standard but much more time-consuming tests.
Study of the fracture of ferritic ductile cast iron under different loading conditions
This engineering paper examined fracture mechanisms in ferritic ductile cast iron under impact, bending, and fatigue loading conditions using scanning electron microscopy. The research is focused on industrial materials science with no relevance to microplastic pollution or environmental health.