Mechanics, along with electronics, is a basic field for the development of high technologies. However, learning mechanics is not an easy task. To meet and adapt to the requirements of students in the digital age, teachers must provide them significant ways to incorporate the latest technologies and applications for their studies. In this study, we explored the application of augmented reality (AR) to improve the learning of the science of Mechanisms. An AR application was implemented and developed for Android-based devices, followed by a qualitative experiment conducted with a sample of 116 students. The study was based on the technology acceptance model and the students’ attitudes towards learning in AR environments were assessed using the structural equation modeling. The results showed that the didactic potential of this application is promising, which is highlighted by the positive attitude about using the application, as well as by the high values obtained for intention to use.

Research in the process of internal combustion engines shows that their efficiency can be increased through several technical and functional solutions. One of these is turbocharging. For certain engine operating modes, the available energy of the turbine can also be used to drive an electricity generator. The purpose of this paper is to highlight the possibilities and limitations of this solution. For this purpose, several investigations were carried out in the virtual environment with the AMESim program, as well as experimental research on a diesel engine for automobiles and on a stand for testing turbochargers (Turbo Test Pro produced by CIMAT). The article also includes a comparative study between the power and torque of the naturally aspirated internal combustion engine and equipped with a hybrid turbocharger. The results showed that the turbocharger has a very high operating potential and can be coupled with a generator without decreasing the efficiency of the turbocharger or the internal combustion engine. The main result was the generation of electrical power of 115 W at a turbocharger shaft speed of 140,000–160,000 rpm with an electric generator shaft speed of 14,000–16,000 rpm. There are many constructive solutions for electrical turbochargers with the generator positioned between the compressor and the turbine wheel. This paper is presenting a solution of a hybrid turbocharger with the generator positioned and coupled with the compressor wheel on the exterior side.

The internal combustion engines performance can be increase. The residual gases can be recovered through turbo charging systems because is an important reserve of exhaust gas energy, which can be capitalized. The turbo charging solution is one of the most popular technical solutions for increasing the energy performance of internal combustion engines. The solutions proposed for the theoretical and experimental research is the hybrid turbocharger. The hybrid turbocharger has a double function: to compress the fresh air and to generate electric energy for the vehicle. The compressed fresh air is compress by the rotor wheel of the compressor. The generator which produces the electrical energy is linearly coupled to the rotor on the compressor shaft outside zone. The electrical energy can be used for consumption of the military vehicles or can be stored in to the battery of the vehicle. The military vehicle must have a internal combustion engine or a hybrid engine equipped with a hybrid turbocharger. The article aim is to present the results of the hybrid turbocharger. The simulation was realised with the AMESim Software developed by Siemens. To simulate the exhaust gas energy was used a CIMAT test bed which can provides high pressure air.

Accurate prediction of the performance of an internal combustion engine is an essential step towards achieving efficiency and complying with emission standards. This study presents an artificial neural network (ANN) model that uses sensor-derived parameters, such as design power, wheel power, torque, and rotational speed, to predict engine load. Data were collected from a dynamometer and a hardware-in-the-loop (HiL) setup to ensure realistic, sensor-based measurements. The proposed ANN architecture achieved high accuracy (99%) in multiclass classification and strong regression performance ($R^2\approx 0.98$), demonstrating its ability to model complex engine load relationships under normal operating conditions. Performance was validated using 5-fold stratified cross-validation, achieving an average accuracy of $0.988\pm 0.011$, macro-F1 of $0.984\pm 0.011$, and regression $R^2$ of $0.962\pm 0.052$, confirming strong generalization and robustness. The model can be extended to include additional sensor inputs and adapted for use with other powertrain systems, allowing it to be used in a range of automotive and industrial applications.

Internal combustion engines have an operating efficiency that can be exploited to increase their performance. Some of the waste gases can be recovered through technical solutions such as turbocharging. The turbocharging solution is one of the most popular technical solutions for increasing the energy performance of internal combustion engines. This requires an analysis of the energy balance of the internal combustion engine. This shows that there is a significant reserve of energy in the exhaust gases, which can be used to increase the engine efficiency. One solution is to use this energy to drive a turbine coupled with an electric generator. This article aims to present the result of the experimental research of the hybrid turbocharger, simulating and validating the new solutions for increasing the energy performance of internal combustion engines through hybrid turbochargers using a coupled electric generator. The simulations will be performed using AMESim software developed by Siemens to demonstrate through calculations the efficiency of new solutions, such as a hybrid turbocharger. The tests will be performed using an diesel internal combustion engine with a cylinder capacity of 1.9 liters which is also simulated with AMESim software. The residual exhaust gases of the internal combustion engine will drive the hybrid turbocharger turbine and generate electricity. Electricity can then be used for storage in the car battery or for consumption by the car's electrical system. The article also includes a comparative study between the power and torque of the naturally aspirated internal combustion engine equipped with a hybrid turbocharger.