The current development of software and control systems for machining centres enables a much simpler generation of these types of paths. A significant advantage of this milling strategy is mainly the reduced load on the cutting tool, which periodically goes in and out of the workpiece material. It also reduces the cutting force and temperature generated during cutting. This can significantly extend the tool's life, as well as increasing process stability. In [19], the effect of changing two parameters, specifically the cutting speed and trochoid pitch, on the cutting forces and vibration acceleration and displacement was analysed. Selected surface roughness parameters (_Sa_ and _Sz_) were also presented for comparison. The magnesium alloys used in this study were AZ91D and AZ31. The research findings indicated a significant impact of cutting speed on the components of cutting force as well as machining vibration. Simulations with artificial neural networks were also performed in this study. Meanwhile, in [20], a trochoidal milling study was performed using the popular EN-AW 7075-T651 aluminium alloy. Chip thickness and cutting force modelling were analysed for the low speed range. Current chip thickness was related to the actual cutting force, which demonstrated quite good correlation with the simulated results. A similar study was performed in [21], where the trochoidal milling of EN-AW 7075-T651 and the cutting force coefficients were analysed. The outcomes revealed that lower values of cutting force components were obtained using trochoidal milling than slotting. An analysis of aluminium alloys, specifically the EN-AW 7039 alloy, was also carried out in [22]. To increase the efficiency of trochoidal milling, a double trochoidal milling path was used. An analytical model was created to determine engagement, which enabled the prediction of the cutting forces. Additionally, a numerical model of the engagement was developed. In all applications, the results indicated a good correlation between the measured and predicted forces. In [23], the five-axis rough trochoidal machining of the EN-AW 5086 aluminium alloy was analysed. Two interpolation models were examined and evaluated (trochoidal and zigzag toolpaths). In this study, maximum values of the cutting force component were recorded. The research results obtained from the simulation and the experiment were very close, which validated the correctness of the proposed approach. This attitude led to a slight overestimation, but the calculation times were very short (a rapid assessment of tool load and a rapid selection of toolpath parameters). Paper [24] presented the trochoidal milling of the EN-AW 2024 and EN-AW 6082 aluminium alloys. Selected surface roughness parameters were analysed. Some interdependencies between roughness parameters, torque, and cutting forces were observed. Varying radial depth of cut and two different machining strategies were used in the study. Meanwhile, paper [25] involved the use of the EN-AW 6061-T6 alloy. It conducted a simulation based on a coupled Eulerian-Lagrangian method and a verification of the trochoidal milling processes was performed. The presented model exhibited quite good suitability for predicting the cutting force (error within 12%). It also gave highly reliable predictions about chip morphology. A continuous remeshing algorithm was omitted, providing information on contact forces and interfacial stresses. Considering the above review of scientific research on the stability evaluation during machining, there are certain deficiencies regarding the broader analysis. However, in recent years, there has been a slight trend of scientific interest in such research and subsequent publications. For instance, in paper [26], the material removal mechanism was evaluated while micro-milling the AZ31B magnesium alloy. It was noticed that the machining mechanism was affected by vibration frequency.