Directed energy deposition with laser beam (DED-LB) is an Additive Manufacturing (AM) process that is commonly used for producing large components, adding features to existing parts, and repairing damaged high-value components. Specifically, in this process, a laser beam is used to melt the feedstock material in the form of powder particles supplied by a deposition head. The production process, which involves the deposition of material in a layer-by-layer matter, gives rise to a complex thermal history within the component. In this sense, it is widely acknowledged that numerical simulation can play a pivotal role in reducing the time and the cost associated with experimental tests. Hence, in recent years, there has been a notable proliferation of numerical tools developed with a particular focus on AM processes [1]. In this work, a thermal numerical simulation was conducted using the Abaqus FEA software tool by Dassault Syst`emes® in conjunction with the AM Modeler plug-in. To this end, identical AISI 316L stainless steel samples were deposited using four distinct deposition strategies, and the temperature history at key points of the substrate was acquired during the deposition process using a thermocouple-based monitoring system. Following the calibration of the Finite Element Method (FEM) model based on preliminary experiments, the actual temperature distributions were compared with the numerical results. The numerical simulation was able to predict the time evolution of temperature distributions consequent to the adopted deposition strategies with a satisfactory degree of accuracy, while also requiring a reasonable amount of computational time. This outcome confirmed the robustness of the model in predicting the thermal history associated with the deposition strategy. This is of paramount importance to comprehending the process and, by extension, to identifying and mitigating potential issues such as porosities and component distortions [2].