The engineering design studies performed by EDA are classified in 3 groups:
- Engineering design
- Engineering design optimization
- Engineering design improvements
Computational Engineering Design and Analysis
Computational design and analysis studies performed by EDA are mainly related in following topics:
- Fluid dynamics (aerodynamics, gas dynamics, hydrodynamics)
- Heat transfer (conduction, convection, radiation)
- Structural mechanics (linear, deformation non-linear, material non-linear)
- Flight mechanics
- Multidisciplinary interaction problems
- Fluid-structure interaction
- Fluid-flight mechanics interaction
- Store integration and separation
To overcome the cost and technical constraints caused by the widely used engineering design and analysis tools, EDA has developed an engineering design and analysis software package, CAEeda, which includes all capabilities required for a mechanical and aeronautical engineering design and analysis studies. CAEeda’s parallel solutions capability reduces design and analysis costs by decreasing number of test and analysis considerably.
Engineering Design Optimization
EDA has state-of-the art capabilities to perform structural design optimization 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:
1. Topology Optimization
2. Shape Optimization
3. Size Optimization
It is quite possible to obtain most feasible material distribution of a designed object which is optimum in terms of stress, heat or pressure distribution during the first phase of design process, even before dimensioning takes place. Visualization of optimized topological layout is accomplished by extracting redundant areas or volumes from the computational domain in accordance with load balance. EDA benefits from three different methods while executing topology optimization processes:
- Sensitivity analysis based
- Gradient based
- Genetic based
Example : (Figure 1.)Topology optimization of a constant spar wing under aerodynamic loads using a density distribution method.
Example : (Figure 2.) Topology optimization of a variable spar wing under aerodynamic loads using a density distribution method
Shape optimization is 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. For such kind of process that needs many physical solutions, cluster and grid computing applications are very beneficial. (See. Publications 4-6)
Example : (Figure 3.) Externel 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.
EDA performs size optimization processes based on Genetic Algorithm method to achieve the most appropriate design parameters (material features, dimensions of cross sections, etc.).
Figure 1. Interior structure of a n 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 CAEedaTM
a. Surface view of original cantilever wing geometry b. Applied pressure loads on upper and lower faces
c. First step of optimization d.Final step of optimization
e. Remove low density areas (regions below 0.3 density are removed) f. Vertical cross-section taken from a one-quarter span position
Figure 2. Interior structure of a n airplane wing under aerodynamic loads. The shape is resulted from topology optimization in which the upeer and lower faces are subjected to aerodynamic loads. The optimization has been done in CAEeda.
a. Geometric parameters that are subject to optimization
b. The rocket geometry obtained by maximum range optimization c. Optimization history of the range as objective function
Figure 3. 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.
In addition to the design, design optimization and analysis studies mentioned above, EDA works through design improvement studies based on customers’ request and needs. The procedure can be summarized as follows:
- Modeling the current product or component
- Making the suggestions to customers about the changes in design.
- After taking the confirmation from customer, modeling a new product design and making calculations
- Getting the product manufactured
- Delivering the final model and the software developed to the customer
- If needed, EDA gives a support service in evaluating the test results and making decision for new product design, during the project studies.