# Multi-Disciplinary Optimization of UV-C Filter for Air Disinfection
## 5 Conclusions  
The application of MDO numerical optimization to the design of medical devices, such as an UV-filter for air disinfection, allows the efficiency of the product to be improved, while optimizing, at the same time, the computational and the human resources dedicated to the project.  
Numerical simulation models from different disciplines, such as CFD and ray tracing, can be easily integrated in a MDO platform, which allows the automatic simulation of the different candidate solutions with the variation in the geometrical parameters. By selecting an opportune optimization strategy, the contrasting objectives and requirements can be optimized after the automatic execution of a few simulations without the need to remodel each design model by hand.  
In the specific application illustrated in this paper, it was possible to optimize the baseline geometry of a UV-C filter medical device for air disinfection, with an important increase in the absorption coefficient of the pathologic load and of the air mass flow.  
As future work, by considering a wider range of variation in the design parameters, it is expected that the performance of the device will be increased further. In addition, an experimental verification of the optimal geometry is foreseen.  
Conceptualization, C.P.; methodology, C.P., R.R. and A.C.; software simulations, I.C. and R.R.; validation, C.P., R.R. and A.C.; writing--original draft preparation, A.C.; writing--review and editing, C.P., R.R., I.C. and A.C.; supervision, A.C. and R.R.; project administration, C.P. All authors have read and agreed to the published version of the manuscript.  
This research was partially funded by PRIN2022 \"20229 KTNRM\".  
Not applicable.  
The raw data supporting the conclusions of this article will be made available by the authors on request.  
The authors wish to thank [PERSON], [PERSON], and all the co-authors of the paper [11], which was the inspiration for the study reported in this contribution.  
The authors declare the following competing financial interest: [PERSON] has patent #IT202000004255U1 issued to ESTECO SpA (80%) and University of Trieste (20%) for the device presented in this paper. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  
\begin{table}
\begin{tabular}{c c c} \hline
**Parameter** & **Baseline** & **Optimal Solution** \\ \hline Blade\_angle (x1) & 60\({}^{\circ}\) & 45\({}^{\circ}\) \\ Blade\_height (x2) & 20 mm & 16.75 mm \\ Inner\_radius (x3) & 13 mm & 17 mm \\ Z\_height (x4) & 39 mm & 99.6 mm \\ X\_inner (x5) & 10 mm & 10 mm \\ X\_outer (x6) & 2 mm & 0.2 mm \\ Y\_inner (x7) & 25 mm & 25 mm \\ Y\_outer (x8) & 2 mm & 1.35 mm \\ Mass flow & \(2.5\times 10^{-4}\) kg/s & \(8.8\times 10^{-4}\) kg/s \\ Absorption efficiency & 19.9 Ws/m\({}^{2}\) & 40.06 Ws/m\({}^{2}\) \\ Minimum efficiency & 17.25 Ws/m\({}^{2}\) & 26.76 Ws/m\({}^{2}\) \\ Efficiency standard deviation & 0.86 Ws/m\({}^{2}\) & 0.43 Ws/m\({}^{2}\) \\ \hline \end{tabular}
\end{table}
Table 2: Geometrical parameters for baseline and optimal solution.