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The different additive manufacturing technologies have had an exponential growth in the last century. Not only because of their cost savings, since no material is wasted, but also because of the freedom they offer in terms of final geometry. However, the 3D printing process has certain disadvantages, such as the use of support structures, which make the process slower and more expensive.
These processes go hand in hand with topology optimization. This method allows us to obtain parts with the same performance and a reduction in the material used. With the development of additive manufacturing, research has increased, improving the resolution methods. There are several filters that are necessary to obtain a manufacturable result, such as the SIMP laws, the density filter, and the overhang angle constraint filter.
Therefore, we will conduct a review of the different techniques and their mode of operation, concluding which are the most suitable in the aerospace industry. We will also study the different phenomena that occur during the process, and the role that support structures have in additive manufacturing. Finally, we will use topology optimization to minimize the use of these structures, thus optimizing the process itself.
To carry out the thesis, and in particular all the optimization processes, we have worked with Open Engineering, a leading company in structure calculation software, which has developed a new topology optimization module. Through the different simulations performed during the thesis, the objective will be to carry out a validation of the software.

Additive manufacturing, support structures, topology optimization --- Ingénierie, informatique & technologie > Ingénierie aérospatiale