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  • SE²A - Sustainable and Energy-Efficient Aviation
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  • ICA B "Flight Physics and Vehicle Systems"
Logo Sustainable and Energy Efficient Aviation of TU Braunschweig
B3.4 - New methods for failure and fatigue analysis of suction panels for laminar flow control
  • ICA B "Flight Physics and Vehicle Systems"
    • B5.2 - Application of physics-based finite-element tools in stiffness tailored structures for cryogenic hydrogen storage for improved mechanical and thermo-mechanical response
    • B4.2 - Consistent Multilevel Model Coupling and Knowledge Representation in Multidisciplinary Analysis and Design
    • B4.1- Collaborative Multidisciplinary Structural Design and Thermal Management for Electric Aircraft
    • B3.5 - Production technologies for hybrid suction designs - Bonding of micro-perforated sheets for hybrid laminar flow control suction panels
    • B3.2 - Advancing the additive xHLFC suction panel concept towards wind-tunnel readiness
    • B3.1 - Protective, multifunctional suction shells for hybrid laminar flow control: Design, integration, simulation and testing
    • B2.5 - EverScale - Enhancement and verification of load alleviation technologies by subscale flight testing
    • B2.4- Hybrid load alleviation by fluidic/reversed control and nonlinear structures
    • B2.3 - ARGO2 - Integrated design of control methods for stability of elastic aircraft
    • B1.9 - Validation of turbulent boundary layer-induced sound transmission through a fuselage section
    • B1.8 - Wind-tunnel experiments of advanced design of swept-wing with suction surfaces
    • B1.7 - Extension of Correlation-based Transition Transport Models for Laminar Aircraft Design
    • B1.6 - Effective Design Methods and Design Exploration for Laminar Wing and Fuselage
    • B1.5 - Sensitivities of Laminar Suction Boundary Layers for Large Reynolds Numbers
    • B1.3- Physics of broadband noise of sound sources from installed propulsors
    • JRG-B1 - Physics of Laminar Wing and Fuselage
    • JRG-B2 - Flow Physics of Load Reduction
    • B1.1 - Propeller and wing aerodynamics of distributed propulsion
    • B1.2 - Aerodynamic analysis of partly embedded boundary layer ingesting propulsors
    • B1.3 - Fast non empiric prediction of propulsion installation related noise
    • B1.4 - Transition Prediction and Design of Hybrid Laminar Flow Control on Blended Wing Bodies Based on 3D Parabolized Stability Equations
    • B2.1 - Load reduction potential of nonlinear stiffness and damping technologies
    • B2.2 - Structural technologies enabling load alleviation
    • B2.3 - Active load Reduction for enabling a 1-G wing using fOrward-looking and distributed sensors (ARGO)
    • B2.4 - Morphing structures for the 1g-wing
    • B3.1 - Global and Local Design Methodology for Laminar Flow Control
    • B3.2 - Process simulation and multiscale manufacturing of suction panels for laminar flow control
    • B3.3 - Thin Plies in Application for Next Generation Aircraft (TANGA)
    • B3.4 - New methods for failure and fatigue analysis of suction panels for laminar flow control
    • B5.1 - ADEMAO: Aircraft Design Engine based on Multidisciplinary Analysis and Optimization
    • JRG-B5 - Long-Range Aircraft Configurations and Technology Analyses
    • JRP - Permeation assessment for cryogenic applications by means of Fiber Bragg Grating sensors
    • ⯇ back to research

B3.4 - New methods for failure and fatigue analysis of suction panels for laminar flow control

Objectives

Numerical result
Random thickness pattern

Task 3.4 “New methods for failure and fatigue analysis of suction panels for laminar flow control” supports the B3 project by analyzing and suggesting improvements to the structural design to improve its fatigue life. 

 

New manufacturing techniques such as additive manufacturing or automated fiber placement allow engineers to control parameters in ways not possible using traditional techniques. Exploiting these parameters leads to new possibilities in design, such as varying the local thickness, the composition, or the (fiber) alignment in an anisotropic material. Exploiting these new material and manufacturing processes has risks though, many of the process parameters are not as controlled and bring a degree of uncertainty to the structure. Models to predict failure due to fatigue for these materials and these production processes are also not as well established. The goal of project B3.4 is to improve the fatigue models used to evaluate the suction panel design in the project, to analyze the areas most critical to fatigue, and to make suggestions on how these critical areas can be made less critical by exploiting the new design freedoms given.

Scientific Approach

Experiments
Experimental validation

Local sensitivity to design/production variations

 

Fatigue failure is a result of cyclic changing in the stress and strain state of the material. Variations in design and production parameters can have a positive or negative influence in this respect. The first goal of the study is to find a way to map these to a given structure. Sensitivity studies on the fatigue life of the structure are then carried out and correlated with respect to a design or production parameter. Having an idea of the local sensitivity of the investigated structure to production or design variations allows for more focused quality inspections, assuring that fatigue failure will not occur due to negative variations.

 

Tailoring structure topology to improve fatigue life

 

Once the effects specific design parameters have is known. And if the parameter can be controlled in the new manufacturing technique, this information can be used to adapt the topology to improve the performance of the structure and potentially make it more robust. Using such an approach can increase the fatigue life while at the same time decreasing uncertainty related to its fatigue life. 

Project Details

Research Staff
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Contact

Project leads

Prof. Dr-Ing.habil. Raimund Rolfes

Institute of Structural Analysis
+49 511-762-3867

Dr.-Ing. Sven Scheffler

Institute of Structural Analysis
+49 511-762-14471

Organisation

Institute of Structural Analysis

Leibniz University Hannover
Appelstr. 9A
30167 Hannover
Germany

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Contact information

Cluster of Excellence SE²A –
Sustainable and Energy-Efficient Aviation
Technische Universität Braunschweig
Hermann-Blenk-Str. 42
38108 Braunschweig

se2a(at)tu-braunschweig.de
+49 531 391 66661

 

 

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