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 |
|
Krogh, Christian
Aalborg University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024That’s how the preform crumples: Wrinkle creation during forming of thick binder-stabilised stacks of non-crimp fabricscitations
- 2023A matter of coursecitations
- 2023A matter of course:Generating optimal manufacturing instructions from a structural layup plan of a wind turbine bladecitations
- 2022Simulation of Wrinkling during Forming of Binder Stabilized UD-NCF Preforms in Wind Turbine Blade Manufacturingcitations
- 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
- 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
- 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
- 2019Investigation of shear characterization of a UHMWPE unidirectional cross-ply for finite element simulation of composite processingcitations
- 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
- 2017Modeling of Prepregs during Automated Draping Sequences
Places of action
Organizations | Location | People |
---|
article
A matter of course
Abstract
Design and manufacturing are highly interlinked when it comes to laminated composites, e.g. wind turbine blades. The structural design defined through the layup plan is not necessarily straightforward to realize during manufacturing. The sheer size of a typical blade means that multiple courses, or roll-widths, of glass fiber must be placed in the casting mold. Further, the layup plan is typically coarsely defined and uses idealized fiber angles. This paper deals with the specification of the individual fabric courses based on an overall layup plan. The courses are modeled using a kinematic draping algorithm and a genetic algorithm optimization routine determines their placement under the consideration of drapability (producibility), structural performance, material waste and practical placement concerns. The results highlight the isolated impact of the different criteria using smaller models. Afterwards, a full 30-layer stack of UD plies is optimized to a feasible course specification with a favorable criteria balance.