## 1 Introduction  
Computational fluid dynamics (CFD) is an essential tool for the design of racing cars. It is used for designing external aerodynamics but also for evaluating the performance of internal components, such as radiators. The CFD design practice typically comprises four phases: (i) geometry pre-processing; (ii) generation of the computational grid; (iii) numerical simulation; (iv) results visualization and analysis, i.e., post-processing. This workflow often relies on highly specialized commercial software, and each phase may require manual intervention by the designer, consequently making the overall process costly in terms of both time and computational resources. Finally, interpreting and synthesizing numerical simulation results can be challenging and requires a deep understanding of fluid dynamic processes to draw meaningful conclusions. These considerations explain why some companies are interested in developing fully customizable open-source tools to enable the complete automation of the entire numerical simulation process with minimal effort from the user. These tools can also be designed to produce output that is already interpreted and synthesized efficiently, allowing the designer to make critical decisions quickly. As an example of this practice, the paper presents a utility, named T-WorkFlow, that has been developed to meet some of the design needs of Tatuus Racing S.p.a. [1], a leading company in the design and production of racing vehicles for the FIA Formula 4 [2] and Formula 3 Regional [3] categories. Similar tools may contribute to both economic and time savings during the design phase by fully managing and standardizing the tasks involved in the process. T-WorkFlow has been developed to fully automate the internal fluid dynamics simulation of the radiators installed in Tatuus cars, further expanding the original work proposed for the company in [4]. In fact, the present effort focuses on streamlining the entire CFD process, intending to provide a customized, automated tool for the company to be used during the early stages of design. The ultimate objective is twofold: first, to minimize the time required for each numerical test by enabling the assessment of more configurations throughout the project, and second, to decrease significantly the chance of human error when performing repetitive tasks. Particular emphasis is placed on developing an automated meshing strategy that ensures consistent grid quality in different configurations. As is explained in Section 3, this requirement implies a number of pre-processing operations on the specific geometry. The tool, through the automation of the CFD analysis, allows the results to be standardized, making comparisons between different configurations more reliable and facilitating the work of designers in identifying the set-up that ensures the best flow distribution among the radiator channels, delivering accurate and easily interpretable results. T-WorkFlow takes advantage of the widely known open-source OpenFOAM [5] CFD solver for the flow simulation. In the scientific literature, OpenFOAM [5] is widely employed in various applications, including external aerodynamics simulations [6; 7; 8], internal flow simulations [9; 10; 11], and even in the medical field [12]. Although the capabilities offered by open-source CFD solvers such as OpenFOAM [5] are undoubtedly significant and are contributing strongly to the advancement of fluid dynamics simulation in academic and industrial settings, the proper use of these tools often requires an experienced user. In this regard, T-WorkFlow completely manages the interface with the CFD solver, requiring the designer to input only a few simple parameters through a dedicated graphical interface. This approach simplifies and streamlines the interaction with the mesh generator and CFD solver, minimizing the manual intervention required from the designer.