www. eda-ltd.com.tr

Overview EDA Ltd. is an engineering design and analysis company providing services since 2003 for mechanical and aerospace engineering projects of various industries, such as aerospace, automotive, energy, power and consumer products. Company is located in the Technology Park near the METU Campus in Ankara Turkey. EDA finds innovative, cost and time effective solutions for difficult engineering problems of industry and offers consulting with its highly competent technical staff, most of them have more than 25 years of experience in their fields with PhD degrees.

Technical Team EDA’s team of engineers have 43 years of experience on an average together with experts from mechanical, civil, electrical, computer, chemical, electrical & electronics engineers, mostly with PhDs.

Research and Development EDA closely follows technological developments and discoveries worldwide to address the future demands of its customers and to upgrade its service quality and work efficiency. Its research and development concentrates mainly on evolution of its design and multi-physics solution capabilities. EDA’s research activities, in which scientists from national or US universities have taken part, have been partially funded by The Scientific and Technological Research Council of Turkey (TUBITAK). Additional support is provided by the Small and Medium Enterprises Development Organization of Turkey (KOSGEB).

COMPANY

Products EDA uses only its own software CAEeda™ for engineering design and analysis. It has following modules from solid modeling to design optimization all integrated. This way it does not depend on any third party software. By using Linux operating system, it is also independent of any kind of proprietary operating system, under fully secure environment. Presently CAEeda™ has the following modules:

• Geometry Module (CADeda) • Mesh Generation Module (MESHedaTM) • Flow analysis module (FAPedaTM) • Structural analysis module (SAPeda) • Thermal analysis module (TAPeda) • Interactive multiphysics module • Optimization module (TOPeda) • Pre-processing module (PREeda) • Post-processing module (POSTeda) • 6 DOF module • Ballistics module (BALLISTICeda)

Capabilities EDA’s engineers continuously seek for cost and time effective solutions for design projects and utilize all levels of computational tools ranging from basic engineering methods to advanced high fidelity solvers depending on design requirements. With its highly parallelized software, EDA can provide solutions to large-scale engineering problems only in hours instead of days and months.

EDA can provide solutions to large-scale engineering problems only in hours instead of days and months. EDA has design and analysis capabilities for airframes of missiles, projectiles, aircrafts, helicopters, unmanned air vehicles, submarines, torpedoes and thermal cooling and heating systems. For multidisciplinary problems such as aero-elasticity, aero-heating and store separation code/mesh coupling methods are used in CAEeda™, including aerodynamic 6 DOF coupling.

All design and research projects are managed by using project management, version control and bug or failure report software installed in company servers. By means of systematic scheduling backup system and secured network infrastructure, data loss or information trans-fer is prevented. EDA’s design and analysis capabilities can be summarized as follows:

• Design and Design Optimization Capabilities o Airframe design

─ Missile ─ Aircraft ─ Helicopter ─ Unmanned Air Vehicle ─ Submarine ─ Torpedo

o Mechanical Design ─ Sensors ─ Actuators

o Thermal Cooling and Heating Systems

• Engineering Analysis Capabilities o Computational Fluid Dynamics

─ Incompressible ─ Compressible ─ Subsonic ─ Transonic ─ Supersonic ─ Hypersonic

o Computational Heat Transfer ─ Conduction ─ Convection ─ Radiation

o Computational Structural Dynamics ─ Linear ─ Nonlinear

o 6DOF Trajectory & Flight stability computations o Computational Electromagnetics o Multi-physics Simulations

─ Aero-thermo-elasticity ─ Aero-acoustics ─ Magneto-hydrodynamics

o Store integration and separation o High Performance Computing (HPC)

─ Parallel system design and Code Parallelization

APPLICATIONS

EDA provides solutions to many complex engineering problems. The services provided include advanced solid modeling and mesh generation, high-performance solutions to large-scale CFD and CSD problems, structural design optimizations, aerodynamic shape optimizations, fluid-structure interactions and store separations. The manipulation of the geometries being worked on is the most important need for engineering design. For that reason, the CAD (Computer Aided Design) packages are usually seen as major tools by the engineering design community. Engineering designs usually start with a definition of the geometry including the computational domain, in which the equations modeling the physical phenomenon are to be solved. CAEeda™ provides advanced parametric solid modeling, mesh generation, pre- and post-processing capabilities integrated with all of its design and analysis modules. Example: Solid Model of an Airplane

Figure 1: Screenshot of CAEeda™ main window for an airplane solid model

Parallel Computing for Large-Scale Problems For large-scale problems, as in CFD, when the problem size grows, parallel computing be-comes a necessity because of large memory and long computing time requirements. This example illustrates parallel computing features CAEeda™ on distributed computer systems for solving large-scale problems. In this case, a domain decomposition/partitioning approach is used. It is possible to solve large-scale engineering problems by using multiple processors concurrently to shorten the computer time and reduce the cost. With experiences in parallelization of software, EDA can have the solutions for engineering problems with high difficulty level only in hours instead of days. Example: Parallel CFD Solution of a Full Aircraft Model Using CAEeda™

Figure 2. a) Partitioned finite volume mesh of a full airplane geometry, b) Obtained Mach number distribution, c) Parallel speedup up to 256 processors (shortens the computing time by a factor of 225).

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Structural Design Optimizations EDA has state-of-the art capabilities to perform structural design optimizations for reducing material usage and structural weight or achieving the most adequate shape and dimensions, while executing engineering design and analysis processes. The engineering design optimization approaches mentioned are grouped under the following three titles:

• Topology optimization • Shape optimization • Dimension optimization

Topology Optimizations It is quite possible to obtain a visual of topology, which belongs to the shape of an internal / external structure optimized for material usage and structural weight during the first phase of structural design, even before dimensioning takes place. Visualization of optimized topology is accomplished by extracting redundant areas/volumes from the structure in accordance with load balance. EDA benefits from two different methods while executing topology optimization processes:

• Gradient based • Genetic based

Example: Topology Optimization of a Constant Spar Wing Under Aerodynamic Loads Using a Density Distribution Method

Boundary Layer Mesh

CSD mesh

CFD mesh

Aerodynamic Load

P - P∞

Figure 3. Interior rib topology of a wing formed under aerodynamic loads obtained with the topology optimization, in which the vertical spars are placed at 25% and 50% chord length positions. White spaces denote the extracted regions from topology. The optimization has been done in CAEeda™.

Figure 4. Interior structure of a airplane wing under aerodynamic loads. The shape is resulted from topology optimization in which the upper and lower faces are subjected to aerodynamic loads. The optimization has been done in CAEeda™. a) Surface view of original cantilever wing geometry, b)Applied pressure loads on upper and lower faces, c) First and d)final steps of optimization, e) Removing low density areas (regions below 0.3 density are removed, f)Vertical cross-section taken from a one-quarter span position.

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Example: Topology Optimization of a Variable Spar Wing Under Aerodynamic Loads Using a Density Distribution Method

Shape Optimizations Shape optimizations are performed in order to achieve the most adequate shape of a system to meet its structural and financial constraints. During the shape optimization process, the constraints of the physical model and the geometric parameters to be changed are determined. Then, physical models are interactively executed under the control of software that uses a “Genetic Algorithm”, until an optimum shape that meets the desired maximum range is reached. Example: Shape Optimization of Wings and Tail of a Missile to Maximize the Range Using a Genetic Algorithm

Figure 5: External geometry resulting from shape optimization of wing and tail-fins for an existing motor of a missile whose nose and body parts are kept fixed. a) Geometric parameters that are subject to optimization, b) Rocket geometry obtained from maximum range optimization.

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Rocket Stage and Wing Store Separations with Flight Mechanics Coupling

The estimation of the influence of an external store mounted under the wing to the aircraft performance is very significant; besides it is also crucial to determine its safe separation during the flight. The separation of the newly designed store in its first test flight may lead to a disaster. For this reason, the question of safe-separation must be solved and proven by means of wind-tunnel tests before the flight tests. However, it is preferable to minimize the number of very expensive tests for which not every wind tunnel is appropriate. EDA has moving body problem solution capabilities suitable for wing store rocket booster and stage separations. Example: An Advanced Store Separation Case Solved with CAEeda™.

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Solid Fluid Interactions

Prediction of nonlinear aeroelastic flutter phenomena requires the coupled solution of fluid and solid (structural) dynamics equations. In the approach used by CAEeda™ the fluid problem is solved using computational fluid dynamics (CFD) code and the structural dynamics problem is solved by a computational structural dynamics (CSD) code. The codes communicate with each other at the fluid-solid interfaces, where the nodes may not match, since typically coarser meshes are used for solids and denser meshes used for fluids. While this multidisciplinary approach is used for aeroelastic flutter here, it is also suitable for other applications such as aero-heating and aero-acoustic problems.

Figure 6. Solution of the store separation case. a) Unstructured mesh with tetrahedral elements, b) Distribution of velocity on surface during store separation, c) Comparison between solution and experimental results, showing that at the solution matches the experiments.

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Example: Solution of an aeroelastic flutter example solved in CAEeda™. Fluid-Structure interaction may produce flutter that would cause the failure of an airplane wing. The plot shows that the solution matches with the experimental results (Figure-7).

Figure 7: Fluid-structure interaction simulations solved in CAEeda™ for flutter analysis of an air-plane wing (AGARD Wing 445.6 test case).

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Contact Us:

Silicon Block NO:22 METU-TECHNOPOLIS METU 06531 ANKARA TURKEY

Tel: +90 (312) 210 1991 E-mail: mail@eda-ltd.com.tr

URL: www.eda-ltd.com.tr

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