In this work, the optimization of the optical bench for the MicroMED dust analyzer is presented. A nonconventional design technique has been exploited to obtain a mass saving, valuable achievement in aerospace and space instruments design. Topology optimization has been coupled to the finite element approach to improve the optical bench design, whose performance has been assessed and compared with the actual one. The optimization results proved the robustness of the adopted workflow and provided interesting results for a possible design enhancement of the MicroMED dust analyzer. A saving of about 55% of the available design domain mass budget has been achieved, and the dynamic behavior of the structural component has been improved, providing about 50% increase of the first eigenfrequency value.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Topology optimization of the optical bench for the MicroMED dust analyzer




    Publication date :

    2021-06-23


    Size :

    3183367 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Design validation of MicroMED, a particle analyzer for ExoMars 2020

    Scaccabarozzi, Diego / Saggin, Bortolino / Somaschini, Riccardo et al. | IEEE | 2019


    Performance analysis of the “MicroMED” Optical Particle Counter in windy conditions

    Mongelluzzo, Giuseppe / Franzese, Gabriele / Cozzolino, Fabio et al. | IEEE | 2021


    Measurement of the fluidic resistance of the MicroMED optical particle counter

    Scaccabarozzi, Diego / Saggin, Bortolino / Junior, Elimar Vieira Vaz et al. | IEEE | 2022


    Optimization of the sensor "MicroMED" for the ExoMars 2020 mission: the Flight Model design

    Mongelluzzo, Giuseppe / Esposito, Francesca / Cozzolino, Fabio et al. | IEEE | 2019


    CFD analysis of the “MicroMED” Optical Particle Counter in various planetary environments

    Mongelluzzo, Giuseppe / Esposito, Francesca / Cozzolino, Fabio et al. | IEEE | 2020