693.932 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Stoschka, Michael
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 displayed)
- 2023Effect of Surface Finishing State on Fatigue Strength of Cast Aluminium and Steel Alloyscitations
- 2023Study of Local Fatigue Methods (TCD, N-SIF, and ESED) on Notches and Defects Related to Numerical Efficiencycitations
- 2023Energy-Based Fatigue Assessment of Defect-Afflicted Cast Steel Components by Means of a Linear-Elastic Approachcitations
- 2023A Numerically Efficient Method to Assess the Elastic–Plastic Strain Energy Density of Notched and Imperfective Cast Steel Componentscitations
- 2022Optimization of disc geometry and hardness distribution for better transferability of fatigue life prediction from disc to FZG testscitations
- 2022Fatigue strength study based on geometric shape of bulk defects in cast steelcitations
- 2022A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approachcitations
- 2020Areal fatigue strength assessment of cast aluminium surface layerscitations
- 2020Validation Study on the Statistical Size Effect in Cast Aluminiumcitations
- 2019Notch Stress Intensity Factor (NSIF)-Based Fatigue Design to Assess Cast Steel Porosity and Related Artificially Generated Imperfectionscitations
- 2019Evaluation of surface roughness parameters and their impact on fatigue strength of Al-Si cast materialcitations
- 2019On the Statistical Size Effect of Cast Aluminiumcitations
- 2019Numerical crack growth study on porosity afflicted cast steel specimenscitations
- 2019Short and long crack growth of aluminium cast alloyscitations
- 2018Application of a area -Approach for Fatigue Assessment of Cast Aluminum Alloys at Elevated Temperaturecitations
- 2018Lifetime assessment of cast aluminium components based on CT-evaluated microstructural defects
- 2018Fatigue strength characterization of Al-Si cast material incorporating statistical size effectcitations
- 2018Surface topography effects on the fatigue strength of cast aluminum alloy AlSi8Cu3citations
- 2018Modification of a Defect-Based Fatigue Assessment Model for Al-Si-Cu Cast Alloyscitations
- 2017Fatigue assessment of welded and high frequency mechanical impact (HFMI) treated joints by master notch stress approachcitations
- 2017Simulation of lamellar cast iron components under TMF-loadscitations
- 2017Microporosity and statistical size effect on the fatigue strength of cast aluminium alloys EN AC-45500 and 46200citations
- 2016Application studies for fatigue strength improvement of welded structures by high-frequency mechanical impact (HFMI) treatmentcitations
- 2016Effect of weld defects on the fatigue strength of ultra high-strength steelscitations
- 2015Fatigue Strength of HFMI-treated and Stress-relief Annealed High-strength Steel Weld Jointscitations
- 2014Fatigue enhancement of thin-walled, high-strength steel joints by high-frequency mechanical impact treatmentcitations
- 2009Influence of welding process parameters on fatigue life by local sub-modelling
- 2009Introduction to an approach based on the (α+β) microstructure of elements of alloy Ti-6Al-4Vcitations
- 2007Fatigue analysis of forged aerospace components based on micro structural parameters
Places of action
| Organizations | Location | People |
|---|
document
Introduction to an approach based on the (α+β) microstructure of elements of alloy Ti-6Al-4V
Abstract
<p>The goal of linking a fatigue life approach with different forging processes enforces the consideration of the main process dependent influence factors, e.g. effective strain, effective strain rate, anisotropy and morphology, alpha-grain size, alpha- contiguity, distance between secondary alpha and beta-lamellae, etc. Linking the specimen lifetime results to these microstructural features, new design parameters for forged titanium parts can be identified. These forecasting parameters can than be used at design stage to optimise the (α+β)-titanium alloy forgings with regard to lifetime.</p>