| 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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Domitner, Josef
Graz University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (41/41 displayed)
- 2024Thermal cycling effects on the local microstructure and mechanical properties in wire-based directed energy deposition of nickel-based superalloycitations
- 2024Engineering approach for determining the mechanical behavior of thin weldscitations
- 2024Experimental and Numerical Analysis of the Three-Point Bending Behavior of Hybrid Adhesive-Bonded Aluminum–Wood Platescitations
- 2024Influence of irregular rivet-die offsets on the integrity and on the load-bearing capacity of self-piercing-riveted aluminum alloy joints
- 2024Engineering approach for modeling the deformation and fracture behavior of thin weldscitations
- 2024Welding of S1100 Ultra high-Strength Steel Plates with Matching Metal-Cored Filler Wirecitations
- 2023Influence of process and heat input on the microstructure and mechanical properties in wire arc additive manufacturing of hot work tool steelscitations
- 2023Influence of microstructure on degradation of cast graphitic high-speed steelcitations
- 2023Mechanical performance of hybrid joints of aluminum sheets and laminated beech veneer plates: an experimental prestudycitations
- 2023Effects of temperature on friction and degradation of dry film lubricants during sliding against aluminum alloy sheetscitations
- 2023Load-bearing capacity of hybrid riv-bonded aluminum-magnesium joints at quasi-static and cyclic loadingscitations
- 2023Influence of alloy composition and lubrication on the formability of Al-Mg-Si alloy blankscitations
- 2023Influence of natural aging on the formability of Al-Mg-Si alloy blankscitations
- 2023Mechanical performance and failure behavior of screw-bonded joints of aluminum sheets and cross-laminated birch veneer platescitations
- 2023Effect of Tensile Loading and Temperature on the Hydrogen Solubility of Steels at High Gas Pressurecitations
- 2022Enhanced gaseous hydrogen solubility in ferritic and martensitic steels at low temperaturescitations
- 2022Formation of long-range ordered intermetallic η’’’ phase and the involvement of silicon during welding of aluminum-steel sheetscitations
- 2022Influence of Plastic Deformation on the Hydrogen Embrittlement Susceptibility of Dual Phase Steelscitations
- 2022Electron beam and metal active gas welding of ultra-high-strength steel S1100MC: influence of heat inputcitations
- 2022Riv-Bonding of Aluminum Alloys with High-Strength Steels against the Favorable Joining Directioncitations
- 2022Viscoplastic Self-Consistent (VPSC) Modeling for Predicting the Deformation Behavior of Commercial EN AW-7075-T651 Aluminum Alloycitations
- 2022Improving deep drawing simulations based on tribological investigations
- 2022Mechanical and microstructural properties of S1100 UHSS welds obtained by EBW and MAG weldingcitations
- 2022Resistance of Quench and Partitioned Steels Against Hydrogen Embrittlementcitations
- 2022Influence of the Sheet Edge Condition on the Fracture Behavior of Riv-Bonded Aluminum-Magnesium Jointscitations
- 2022The role of hydrogen diffusion, trapping and desorption in dual phase steelscitations
- 2022Microstructure Characterization of Nickel Matrix Composite Reinforced with Tungsten Carbide Particles and Produced by Laser Claddingcitations
- 2022Local Heat Treatment for Springback Reduction in Deep Drawing of Advanced High-Strength Steelcitations
- 2021Tribological investigations on aluminum alloys at different contact conditions for simulation of deep drawing processescitations
- 2021Critical verification of the Kissinger theory to evaluate thermal desorption spectracitations
- 2021Characterization of wear and friction between tool steel and aluminum alloys in sheet forming at room temperaturecitations
- 2021Modeling of Hydrogen Diffusion in Slow Strain Rate (SSR) Testing of Notched Samplescitations
- 2021Mechanical Properties of Selective Laser-Melted Components of AlSi10Mg for Prototype Vehiclescitations
- 2021Numerical Simulation of Tube Bending Supported by Hydraulic Pressure for Manufacturing Butt-Welding Fittings
- 2020Numerical simulation of hybrid joining processes: self-piercing riveting combined with adhesive bondingcitations
- 2020Hydrogen embrittlement (HE) of advanced high-strength steels (AHSS)
- 2020Mechanical properties and fracture modes of thin butt-joined aluminum-steel blanks for automotive applicationscitations
- 2020Modeling the Failure Behavior of Self-Piercing Riveting Joints of 6xxx Aluminum Alloycitations
- 2019Deformation Behavior of High-Strength Steel Rivets for Self-Piercing Riveting Applicationscitations
- 2019Thermomechanical Wear Testing of Metal Matrix Composite Cladding for Potential Application in Hot Rolling Millscitations
- 2018Genetic programming method for modelling of cup height in deep drawing processcitations
Places of action
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document
Improving deep drawing simulations based on tribological investigations
Abstract
Blanks of aluminum alloys 5xxx and 6xxx with electric discharge texture (EDT) or milled finish (MF) surface condition are widely used in the automotive industry. The particular tribological conditions during forming of these blanks influence both the product quality and the tool life. Reliable finite element (FE) models which consider the actual contact conditions are required for successful simulation of aluminum sheet forming. Therefore, tribology experiments are useful for creating contact models which represent the actual tribological system between the tool and the blank. In this work, pin-on-plate tribology tests using plates of aluminum alloys 5xxx and 6xxx were performed at different contact pressures, sliding velocities and surface temperatures for investigating the coefficient of friction (COF). The obtained COF as well as the surface topographies of the aluminum blanks were imported into the TriboForm R3 software for generating a multi-factor friction model, which was subsequently applied in deep-drawing simulations using the AutoForm R8 software. The simulation results based on the multi-factor friction model were validated with physical forming trials. The results showed that the multi-factor friction model generally improves the predictive quality of FE simulations.