| 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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Reisgen, Uwe
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2024Reduction of distortion during laser beam welding by applying an in situ alloyed LTT effect and considering influencing factors
- 2024Simulation of wire metal transfer in the cold metal transfer (CMT) variant of gas metal arc welding using the smoothed particle hydrodynamics (SPH) approachcitations
- 2024Influence of laser beam welding in vacuum on the magnetic properties of non-grain oriented electrical steel sheets
- 2024Development of an in situ alloying method for high-performance welding processes to achieve an LTT effect by local modification of the alloy content
- 2024Modelling the Evolution of Phases during Laser Beam Welding of Stainless Steel with Low Transformation Temperature Combining Dilatometry Study and FEMcitations
- 2023Optimization of the weldability and joint strength of Al Mg Si cladded aluminum alloys via RSW: a statistical and metallurgical approach
- 2022Residual Stress Reduction with the LTT Effect in Low Carbon Manganese-Steel through Chemical Composition Manipulation Using Dissimilar Filler Material in Laser Beam Weldingcitations
- 2022Strain Monitoring of a Structural Adhesive Bond by Embedding a Polymer Optical Fibercitations
- 2022Curing Adhesives with Woven Fabrics Made of Polymer Optical Fibre and PET Yarncitations
- 2021Individualized and controlled laser beam pretreatment process for adhesive bonding of fiber-reinforced plastics. II. Automatic laser process control by spectrometrycitations
- 2019Manipulating the melt propagation of short arc gas metal arc welding with diode lasers <1 kW for improvement in flexibility and process robustnesscitations
- 2019Influence of variation of energy per unit length on mechanical-technological properties of ultra-high-strength steel 22MnB5 in the laser beam welding processcitations
- 2017Comparison of submerged arc welding process modification influence on thermal strain by in-situ neutron diffractioncitations
- 2016Tensile stress analyses through digital image correlation of single lap joints of high strength steel and aluminium alloy using adhesive bondingcitations
- 2011Theoretische und experimentelle Untersuchung des spaltungsinduzierten Versagens von TRC Prüfkörpern
- 2008Reducing degradation effects in SOFC stacks manufactured at Forschungszentrum Jülich - Approaches and results
- 2005Overview of the development of solid oxide fuel cells at Forschungszentrum Juelich
- 2004Solid oxide fuel cell development at Forschungszentrum Juelich
Places of action
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article
Modelling the Evolution of Phases during Laser Beam Welding of Stainless Steel with Low Transformation Temperature Combining Dilatometry Study and FEM
Abstract
<jats:p>In this study, the evolution of volume fractions during laser beam welding (LBW) of stainless steel, with a specific focus on incorporating the low transformation temperature (LTT) effect using the dilatometer, has been proposed. The LTT effect refers to the phase transformations that occur at lower temperatures and lead to the formation of a martensitic microstructure, which will significantly influence the residual stresses and distortion of the welded joints. In this research, the LTT conditions are achieved by varying the Cr and Ni content in the weld seam by varying the weld parameter, including laser power, welding speed and filler wire speed. The dilatometer analysis technique is employed to simulate the thermal conditions encountered during LBW. By subjecting the stainless steel samples to controlled heating and cooling cycles, the kinetics of the volume fractions can be measured using the lever rule and empirical method (KOP and Lee). The phase transformation simulation model is computed by integrating the thermal and metallurgical effects to predict the volume fractions in LBW joints and has been validated using dilatometer results. This provides valuable insight into the relationship between welding parameters and phase transformations in stainless steel with the LTT effect during laser beam welding. Using this relationship, the weld quality can be improved by reducing the residual stresses and distortion.</jats:p>