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 |
|
Jakobsen, Johnny
Aalborg University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (32/32 displayed)
- 2024Bolted joint method for composite materials using a novel fiber/metal patch as hole reinforcement—Improving both static and fatigue propertiescitations
- 2023A matter of coursecitations
- 2023A matter of course:Generating optimal manufacturing instructions from a structural layup plan of a wind turbine bladecitations
- 2022Comprehending the Bending: A Comparison of Different Test Setups for Measuring the Out-of-Plane Flexural Rigidity of a UD Fabriccitations
- 2022It‘s on a Roll: Draping Courses of Glass Fiber Fabric in a Wind Turbine Blade Mold by Means of Optimization
- 2021A simple MATLAB draping code for fiber-reinforced composites with application to optimization of manufacturing process parameterscitations
- 2021Pure and simple:investigating the in-plane shear kinematics of a quasi-unidirectional glass fiber non-crimp fabric using the bias-extension testcitations
- 2020Design of Automated Robotic System for Draping Prepreg Composite Fabricscitations
- 2020Design of Automated Robotic System for Draping Prepreg Composite Fabricscitations
- 2020Exploration of irreversible residual stresses in a carbon/epoxy composite
- 2020Will it Crease or Cease? A study of Debulking of Air Pockets in Automated Prepreg Composite Layupcitations
- 2020Will it Crease or Cease?:A study of debulking of air pockets in automated prepreg composite layupcitations
- 2019Fatigue damage simulation of tension-tension loaded glass/polyester fiber composites with thickness tapering effectscitations
- 2019Fatigue damage simulation of tension-tension loaded glass/polyester fiber composites with thickness tapering effectscitations
- 2019The Issue of the Tissue:Determining Feasible Robot Draping Sequences for Woven Prepreg Plies
- 2019Generation of Feasible Gripper Trajectories in Automated Composite Draping by means of Optimizationcitations
- 2019256 shades of graycitations
- 2019256 shades of gray:Application of image processing to evaluate the effect of sample geometry and constant shear strain rates in the picture-frame testcitations
- 2019The Issue of the Tissue
- 2017Prediction of fatigue damage in tapered laminates
- 2017Prediction of fatigue damage in tapered laminates
- 2017Modeling of Prepregs during Automated Draping Sequences
- 2016Local fatigue behavior in tapered areas of large offshore wind turbine bladescitations
- 2016Local fatigue behavior in tapered areas of large offshore wind turbine bladescitations
- 2016Effect of cure cycle on enthalpy relaxation and post shrinkage in neat epoxy and epoxy compositescitations
- 2015Investigation of the residual stress state in an epoxy based specimen
- 2014A comparison of gel point for a glass/epoxy composite and a neat epoxy material during isothermal curingcitations
- 2013Thermo-mechanical Characterisation of In-plane Properties for CSM E-glass Epoxy Polymer Composite Materialscitations
- 2013Thermo-mechanical Characterisation of In-plane Properties for CSM E-glass Epoxy Polymer Composite Materials:Part 2: Young's Moduluscitations
- 2013Thermo-Mechanical Characterisation of In-Plane Properties for CSM E-glass Epoxy Polymer Composite Materials – Part 1citations
- 2013Thermo-Mechanical Characterisation of In-Plane Properties for CSM E-glass Epoxy Polymer Composite Materials – Part 1:Thermal and Chemical Straincitations
- 2007New Knowledge on Composite and Sandwich Structures
Places of action
Organizations | Location | People |
---|
document
Modeling of Prepregs during Automated Draping Sequences
Abstract
Composite parts made from pre-impregnated fiber mats, so-called prepregs,<br/>are frequently used in the aerospace industry due to their superior mechanical<br/>properties. Currently, woven prepregs are manually placed into a mold prior<br/>to curing. The manual layup process is costly and can yield significant quality<br/>variations in the final part. Thus, an automated layup solution is under<br/>development where a robot can manipulate and drape the prepregs into the<br/>mold.<br/>The success of this implementation relies on both accurate and computationally<br/>efficient models describing the mechanical behavior of the prepreg<br/>material which is the scope of the PhD project. The models will aid in<br/>generating feasible robot trajectories, i.e. draping sequences. Here feasible<br/>entails that the fiber plies do not deform undesirably while being manipulated<br/>by the robot as well as drapes onto the mold without wrinkles, air pockets and<br/>other defects. The models must, among other things, account for the nonlinear<br/>anisotropic constitutive behavior, viscoelasticity, possible plasticity,<br/>and contact which includes friction between the ply-mold and ply-end effector<br/>interfaces. The problem is path dependent and thus the transient aspect of the<br/>draping must be taken into account.<br/>The accurate modeling is accomplished with an explicit Finite Element (FE)<br/>scheme with shell elements. Material characterization in the form of uniaxial<br/>tensile tests, bias-extension tests (45 ° tensile test) and bending tests provide<br/>input for the model. With basis in an experimentally validated FE model and<br/>with improved knowledge of the mechanics of the plies, more efficient<br/>models and/or simple wrinkling criteria are to be developed at a later stage.