| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Casellas, Daniel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Using the particle finite element method for predicting optimum shear cutting clearance
- 2024The continuous fibre injection process (CFIP): A novel approach to lightweight design of multi-material structural components
- 2023Optimization of Thick 22MnB5 Sheet Steel Part Performance through Laser Temperingcitations
- 2023Fracture toughness to assess the effect of trimming on the fatigue behaviour of high-strength steels for chassis partscitations
- 2023Numerical simulation of a rapid fatigue test of high Mn-TWIP steel via a high cycle fatigue constitutive lawcitations
- 2023Wear Mechanisms in Press Hardening: An Analysis through Comparison of Tribological Tests and Industrial Toolscitations
- 2023Understanding the Fatigue Notch Sensitivity of High-Strength Steels through Fracture Toughnesscitations
- 2023A mechanical interlocking joint between sheet metal and carbon fibre reinforced polymers through punchingcitations
- 2023A mechanical interlocking joint between sheet metal and carbon fibre reinforced polymers through punchingcitations
- 2023A punching process to join metal sheets and fibre reinforced polymer composites by mechanical interlockingcitations
- 2023A punching process to join metal sheets and fibre reinforced polymer composites by mechanical interlockingcitations
- 2023A damage-based uniaxial fatigue life prediction method for metallic materialscitations
- 2023Mechanical joining technology between metal and carbon fiber reinforced polymers through punching
- 2022Assessing the effect of the experimental parameters in the evaluation of the essential work of fracture in high-strength thin sheetscitations
- 2022Warm Forming of Hot Rolled High Strength Steels with Enhanced Fatigue Resistance as a Lightweight Solution for Heavy Duty Vehicles
- 2021Stating Failure Modelling Limitations of High Strength Sheets: Implications to Sheet Metal Formingcitations
- 2017A fracture mechanics approach to develop high crash resistant microstructures by press hardening
- 2017Fracture mechanics based modelling of failure in advanced high strength steels
- 2017Determination of the essential work of fracture at high strain rates
- 2014Challanges in Steel Science & Technology
- 2012Investigations into wear and galling mechanism of aluminium alloy-tool steel tribopair at different temperatures
- 2010The influence of deformation on microstructure evolution of low alloy TRIP steel
Places of action
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article
A damage-based uniaxial fatigue life prediction method for metallic materials
Abstract
Determining the fatigue behaviour of metallic materials using standardised testing methods is costly and time-consuming. Therefore, several methods have been proposed to shorten the testing time and improve the fatigue optimisation of materials and components. This work presents a new fatigue testing method based on fatigue damage monitoring that allows determining the fatigue resistance in a short time and with few specimens. The presented method, named as the stiffness method, monitors the inelastic strains as an indicator of fatigue damage evolution. Strain measurements were carried out by digital image correlation techniques and showed to effectively follow damage evolution during fatigue tests. Results are convincing and more evident to obtain and discuss than other monitoring techniques, like temperature dissipation. In addition, the method overcomes the main limitations of the existing fast testing methods by avoiding the utilisation of complex apparatus, like infrared cameras or acoustic emission sensors. The approach has been validated in ten different metallic materials, as titanium and aluminium alloys, carbon steels, and stainless steels. The estimated fatigue limit was compared with values obtained following standardised tests, showing excellent agreement. Results allow pointing out the stiffness method as an efficient and effective tool for rapidly determining the fatigue behaviour of metallic materials. ; Validerad;2023;Nivå 2;2023-06-26 (hanlid); Funder: Fatigue4Light project and the Ministerio de Ciencia e Innovación (PID2019-106631GBC41)