Trending Now: FEA, CFD & Artifical Intelligence Simulation and Design for Medical and Biomedical Applications Blast, Explosion & Fire: air blast, Underwater explosion (UNDEX) and Fragmentation. VTOL, e-VTOL and UAM - Urban Air Mobility.
IMG-LOGO

Modern Glider Development with Abaqus Finite Element Method

Nov. 22, 2022 Simulia.com



Modern Glider Development with Abaqus Finite Element Method | ANSYS, Simulia, Comsol & Siemens for FEA, CFD, CAE & Artificial Intelligence Simulation
Please welcome our guest blogger, Jette Lorsbach from the University of Stuttgart’s Akaflieg Stuttgart, a student organization with a goal of developing, building, and flying unique and interesting aircraft prototypes. Below, they describe their current project, a workflow using Abaqus to develop a fly-by-wire glider.

Modern Glider Development with Abaqus Finite Element Method | ANSYS, Simulia, Comsol & Siemens for FEA, CFD, CAE & Artificial Intelligence Simulation

The Akaflieg Stuttgart is a student organization at the University of Stuttgart. The goal of this organization is to develop, build and fly unique aircraft (glider) prototypes. Our current objective is to build a glider that experiments with an electrical control system, the fs36 FlyByWire.

Modern Glider Development with Abaqus Finite Element Method | ANSYS, Simulia, Comsol & Siemens for FEA, CFD, CAE & Artificial Intelligence Simulation

The motivation for realizing this project is the idea of more safety. The development of a fly-by-wire glider can help to prevent critical situations via the installation of a stall protection or even a complete envelope protection system. Furthermore, a fly-by-wire system enables an improvement in flight performance. The replacement of a mechanical control system with electric actuators and cables provides the opportunity for new paths in terms of flexibility for the glider. For example, it is possible to control a larger amount of aileron surfaces with variable deflections without the need of designing a complicated mechanical mixer. Furthermore, by limiting the flight envelope or by adding an active flutter prevention system, it is possible to lighten the structure. The fs36 will be made of fiber composites. Fiber composite is mostly used for modern gliders thanks to its lightweight and anisotropic material behavior. This often results in complex shapes, where traditional calculation methods by hand are limited and only viable for rough estimations. Therefore, simulations are one of the key technologies in modern aircraft design. As Dassault Systèmes generously supports us with their finite element simulation software Abaqus, we have the opportunity to optimize our newly designed aircraft parts. These optimizations include the occurring loads by respecting the part wight, as the final goal is to design the structural parts as light as possible. The workflow for the load-carrying structure of the aircraft wings is described below.
To define the initial structure, traditional hand calculation methods are used to get an idea of the structure’s dimensions. This first CAD model is simplified to be suitable for finite element analysis. Therefore, small radii and surfaces are ignored, and the bonding geometries are simplified as much as possible. Subsequently, the model is imported into Abaqus, and material and element types are assigned to individual parts. The Hashin failure criterion is used for the fiber composite structures and the ply table is used to define the number of fabric layers and fabric layer orientation. The bonding between different components is defined as “solid homogeneous” due to isotropic material behavior. For the initial calculation mechanical conditions of contact are used for the entire model and the bonding between components is not considered in detail to keep the initial calculation as simple as possible.
The discretization process is of special interest due to the quality of the simulation being strongly dependent on the mesh quality. Therefore, the mesh is refined in areas where high values of tension are expected. In these areas, the goal is to achieve a fine and preferably undeformed mesh. To achieve these requirements, it is necessary to split the components into smaller partitions improving the ability to affect these special areas. The wall thickness of the fiber composite components is about 2mm in the thinnest areas. In these areas, it is important to achieve a fine enough mesh to avoid high aspect ratios which could lead to wrong simulation results. Finally, the mesh quality is checked with the Abaqus mesh quality checks and improvements were necessary.
The goal of the simulation is to reinforce the structure in the right areas and to save material in areas where the occurring loads are lower than expected. Therefore, a lightweight structure is achieved that can fulfill the requirements. To achieve this goal, it is important to know, where peaks of loads are located in the structure and what the load path looks like. This information will be gained using a finite element simulation.
However, structural tests need to be performed to calibrate the simulation. With the help of these test results, material parameters and conditions of the contract can be adapted to improve the simulation even further.
Another goal is to use the finite element method for aeroelastic tailoring. Thereby the deformations under a given load must be known exactly. If the model is very reliable, one can optimize the deformation of the wing of an aircraft under a given load to optimize the lift distribution of the wing achieving a better aerodynamic performance.
A destruction test for the aircraft wings needs to be performed, as this is a requirement for the approval of the maiden flight by the airworthiness authorities. Therefore, the final goal is the simulation of this structural test to avoid an early failure of the structure in this test saving money and time.
SIMULIA offers an advanced simulation product portfolio, including Abaqus, Isight, fe-safe, Tosca, Simpoe-Mold, SIMPACK, CST Studio Suite, XFlow, PowerFLOW, and more. The SIMULIA Community is the place to find the latest resources for SIMULIA software and to collaborate with other users. The key that unlocks the door of innovative thinking and knowledge building, the SIMULIA Community provides you with the tools you need to expand your knowledge, whenever and wherever.

Integrated Finite Element Simulation and Machine learning (ML) for Composite Material Design and Optimization
FEA Based Composite Material Design and Optimization

Simulation Driven Design is an efficient tool for development and simulation of Composite material models.

Integrated Finite Element, CFD and AI Simulation for Medical & Biomedical Device Design
Integrated Finite Element, CFD and Artificial intelligence Simulation for Medical & Biomedical Device Design

To ensure confidence in the simulation and reliability of the analysis results, medical device manufacturers must ensure that the CAE analyst is using the most current CAD geometry, specify the correct material properties, and apply the appropriate environmental loading conditions.

Integrated Finite Element, CFD and AI Simulation for Reacting Flows & Combustion
CFD Simulation of Reacting Flows & Combustion

Knowledge of the underlying combustion chemistry and physics enables designers of gas turbines, boilers and internal combustion engines to increase energy efficiency and fuel flexibility, while reducing emissions.

Integrated Finite Element, CFD and Machine learning (ML) for VibroAcoustics and NVH Analysis
FEA & CFD for VibroAcoustics and NVH Analysis

By coupling the electromagnetic field solution with other solvers, we examine coupled physics phenomena and achieve the highest fidelity solution to eliminate reliability problems and design safe and effective products, even capture Electromagnetic–Structural Dynamics–Acoustics probelem.

Finite Element Method & Computational Fluid Dynamics for Blast, Explosion & Fire Analysis
Finite Element Method & Computational Fluid Dynamics for Blast, Explosion & Fire Analysis

Blast, Explosion & Fire: Air blast, Underwater explosion (UNDEX) and Fragmentation.

Finite Element Simulation of Crash Test: Vehicles and eVTOLs crashworthiness design
Finite Element Simulation of Crash Test: Vehicles and eVTOLs crashworthiness design

Enteknograte engineers simulate the crash safety with innovative CAE and virtual prototyping available in the non-linear structural codes: Ansys LS-DYNA, PAM-CRASH, RADIOSS and Simulia ABAQUS. We offer advanced FEA modeling consultancy services.

Latest news: