Collaborative Multidisciplinary Design Optimization-a framework Applied on Aircraft Systems and Industrial Robots

Edris Safavi (Linköping University)

CHALLENGE - In complex products, different systems from a multitude of engineering disciplines have to work tightly together. Collaborative design is defined as a process where a product is designed through the collective and joint efforts of domain experts. Thus, a Collaborative Multidisciplinary Design Optimization (CMDO) process is proposed in the conceptual design phase in order to increase the likelihood of more accurate decisions being taken early on.  This paper has five objectives to be reached, the first one is to offer methods and tools in modeling and simulation to conceptual engineers. This will provide more information in the early stages of the design process.  The second objective is to propose a multidisciplinary design optimization framework (MDO) to integrate the models and search for a good set of parameters to optimize the product time efficiently. The third objective is to identify how collaborative methods can help to enable a design framework such as CMOD. The fourth and final objective is to provide the means to cost efficiently evaluate and validate the framework. The resulting framework is thus proved through two case studies: conceptual aircraft design and conceptual industrial robot design.











SOLUTION - In this work, the CAVE framework enables collaborative design in the conceptual design. The proposed framework has been used within modeFRONTIER in order to optimize the design parameters. Since variation in design is high in conceptual design, a high number of iterations is required in order to obtain optimized designs. Optimization time thus increases significantly. Surrogate modeling, as proposed in this work, has proven to be a profound method to reduce the time of optimization. Another benefit of replacing actual model with surrogate models is to reduce the number of occupied software’s licenses of engineering tools integrated in optimization routine while it is running.

BENEFITS - The automated design and evaluation framework was implemented using modeFRONTIER , which allows various design tools to be integrated to create the metamodels and run the optimization. The framework consists of a geometric model a simple standard aerodynamic model created in TORNADO as aerodynamic simulator software and a dynamic model (CAVE). In this work modeFRONTIER was also used to create surrogate models of all simulation models, used to further accelerate the optimization process, -which is essential in conceptual design phase.