Multidisciplinary Design Optimization of complex engineering products 

How can we extend the range of applications and in what ways can we improve the efficiency of the current practices in order to get better designs?

Ever since its introduction, Multidisciplinary Design Optimization (MDO) has shown great potential in improving the overall design by increasing the total information gain and enabling better decision making earlier in the development process. Nevertheless, it can be seen that MDO is seldom included in the basic engineering education and it has rarely been a standard practice in the manufacturing industry. Conversely, the research on MDO is constantly expanding and new disciplines as well as modelling methods are now increasingly being considered in order to achieve faster and more accurate computations.

In light of the above, my personal research revolves primarily around the following questions:

  • In what ways can one enhance the traditional MDO framework?
  • How can one make the MDO process more computationally efficient?
  • Can we use MDO in other contexts apart from conceptual design?
  • Are there any guidelines when considering MDO in the industry or higher education?
 
At a secondary level, my research is focused on aircraft and in particular, on the use of MDO in the design of Unmanned Aerial Vehicles (UAVs). For that reason, I investigate the feasibility of a framework that considers “traditional” aeronautical disciplines but also models from the field of electromagnetics together with trajectory constraints. In alignment with my main research questions, I evaluate if these additions can improve the overall design, I explore how this method can become more efficient, and I assess the possibility of implementing this approach in an industrial context.

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CV

  • B.Sc. Mechanical Engineering, University of Patras, Greece, 2009
  • M.Sc. Mechanical and Aeronautical Engineering, University of Patras, Greece, 2011
  • M.Sc. Aeronautical Engineering, Linköping University, Sweden, 2015

Teaching

  • TMKT48: Design Optimization
  • TMKT57: Product Modeling
  • TMKT79: Collaborative Multidisciplinary Design Optimization

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2020

2019

2018