Given the widespread adoption of additive manufacturing in dentistry, assessing the dimensional accuracy of printed objects is critical. This study aimed to evaluate the three-dimensional (3D) deviations produced by four printers utilizing SLA, mSLA, and PolyJet technologies, employing three distinct measurement methodologies. Sixty cube specimens with a 15 mm edge length were fabricated (n = 15 per group) using four different 3D printers: Form 3B+, Prusa SL1, Objet 30 Orthodesk and Connex 260. The distance between opposing cube faces was assessed at twelve predefined locations using three measurement methodologies: manual measurement with a digital micrometer, a micro-computed tomography (micro-CT) system, and an optical scanner. Micro-CT and micrometer measurements yielded reliable dimensional data, whereas the optical scanner consistently yielded underestimated values. Micro-CT yielded superior definition of the specimen surface topography Mean micro-CT measurements differed significantly from the nominal reference value (15,000 µm) in 15 of 16 instances for X coordinates (p < 0.01), 15 instances for Y coordinates (p < 0.015), and in 12 instances for Z coordinates (p < 0.03). Deviations were significantly higher in the X and Y axes compared to the Z axis. Micro-CT was identified as the most precise measurement method among those evaluated. Of the printers tested, the Connex260 demonstrated superior overall performance, exhibiting the lowest dimensional deviation. Across all devices, the highest accuracy was consistently observed along the Z-axis. Even minor dimensional inaccuracies in additively manufactured components can compromise the fit, marginal integrity, and function of restorations, directly impacting patient comfort and treatment longevity. Consequently, the careful selection of appropriate printing technologies, validated by precise measurement protocols, is critical for ensuring predictable clinical outcomes.

The defining scientific developments of our time would not have been possible without the use of simulations. The aim of the research is to create a simulation of a BLDC motor. When creating a simulation, great emphasis must be placed on defining the purpose of the simulation. This basically determines the structure and complexity of the model. The model discussed here was created so that an optimization task could be defined more precisely by inserting it as a sub-model into a vehicle dynamics model. Scalability was another aspect, that is, to be able to increase the accuracy of the model with measured data in the future, as well as to be able to validate it. During the research, a BLDC motor efficiency map generation program was created, as well as an environment for testing the generated data. The created system gives researchers the opportunity to use a shape-correct efficiency model when simulating a BLDC motor even without measured data. This makes it possible to discover real relationships between model parameters when performing optimization.

The following article presents the longitudinal modeling and simulation of a generic electric vehicle. The purpose of the research is to describe the applied modeling procedures and their MATLAB solutions. Furthermore, the goal is to demonstrate how to build a framework for a MATLAB R2024b Simulink and Simscape model that facilitates future optimization and ensures modularity, thereby facilitating collaboration among different research groups. After presenting the applied vehicle dynamics model and the created framework, some additional application examples are presented for which the method has already been tested.

Many processing companies use some grades of steel for cold forming. Due to ageing, the formability of unalloyed mild steel sheets deteriorates over time; their formability is not uniform, and surface defects appear, which in many practical applications leads to scrap. This can be particularly important for processing companies when selecting machine settings, as there may be differences in the properties of materials from different manufacturers and the properties of materials of different ages from the same manufacturer. We investigated the ageing behaviour of DC01 steel grade by testing many samples from the third day after production up to one year. Various methods were used to detect ageing, such as tensile tests at different test speeds and supplemented with a digital image correlation (DIC) system, thermo-electric power measurement, deep drawing cup tests, and Nakajima tests. We showed that a reinterpretation of the definition of ageing is necessary. Standard tensile testing can no longer detect the ageing tendency of steels manufactured using the latest technology. However, when supplemented with DIC, these tests show ageing with high sensitivity. Among the used methods the applicability of this technique in industrial material testinglaboratories is the most recommended.