With the rapid advancement of autonomous driving technology, the mechanical structure of vehicles has emerged as a critical factor influencing driving stability. This study systematically analyzes the impact of mechanical structure improvements—focusing on chassis, suspension, and body systems—on the dynamic stability of autonomous vehicles. Through theoretical models, comparison of constructive criteria, and trials of numerous research studies, the main limitations of traditional tasks have been identified as sub-optimal weight distribution and insufficient real-time adaptation. Improvement plans include lightweight underlayer construction (weight reduction of 25.6%), adaptive suspension technology (vertical speed reduction of 39.5%), and increased torque (increase of 25.4%). Experimental data show that these changes reduce lateral turning residues by 44.4% and reduce turning speed deviations by 46.7% on wet roads, greatly improving steering accuracy and resistance to disturbances. The results highlight the interaction between mechanical construction optimization and autonomous control systems and provide a technical framework for increasing the reliability of next-generation autonomous vehicles.

In this paper, the anomalous filtration of a homogeneous fluid in a homogeneous porous medium is considered. A model of anomalous fluid filtration, composed using the fractional differentiation apparatus, is then numerically analyzed. Problems with constant, exponential, and sinusoidal boundary conditions are considered. The influence of the anomaly on the distribution of the pressure field and filtration velocity is estimated.

In this paper, a computational study is presented to analyze the structural behaviour of solid materials undergoing inelastic strains when they are subject to various loading rates. An implicit integration algorithm is applied for the mechanical simulation of solids that exhibit plastic deformations. A numerical procedure is discussed that is useful to be applied to different types of constitutive models by suitable specialization of the proper flow function. Numerical algorithms are implemented, and computational examples are illustrated by denoting the effectiveness of the adopted numerical procedure.

To address the multi-objective optimization of density and microhardness in 316L stainless steel formed parts produced by selective laser melting (SLM) technology, this study employs an orthogonal experiment combined with genetic algorithms. By designing a three-factor, three-level orthogonal experiment, the effects of laser power, scanning speed, and scanning spacing on the density and microhardness of the formed parts were analyzed. The significance of each parameter was determined using the range analysis method. Based on the experimental data, a cubic polynomial regression equation was established as the fitness function, and an optimization model aimed at achieving high density and high microhardness was constructed. The Pareto optimal solution set was found using genetic algorithms. The results indicate that laser power has the most significant impact on both indicators. The optimized parameter combination (scanning speed 640mm/s to 650mm/s, laser power 190 W, scanning spacing 0.08 mm) achieves a density of 97.26% to 97.78% and a microhardness of 250.6 HV to 251.6 HV, showing a significant improvement over the orthogonal experiment results. This validates the effectiveness of genetic algorithms in multi-objective optimization of SLM forming parameters.

The automobile drive shaft (propeller shaft assembly) is an important component of the power transmission system, moving continuously during operation. This article studies the influence of dynamic parameters on the durability of the automobile drive shaft, focusing on the geometric factor of shaft length L (mm) affecting the durability, evaluated through deformation ε (mm), displacement Df (mm/m), and torsion angle θ (rad). The main assumptions of the study include that the shaft lies in a vertical plane passing through the vehicle's center of gravity, which is a longitudinally symmetrical plane, ignoring manufacturing and assembly errors, friction at joints, and deformation of related parts. Applying Matlab Mupad and Simulink and Ansys Workbench software to investigate some dynamic parameters of 2 drive shaft configurations: Case 1 with length L1 = 1300 mm, shaft body thickness b1 = 6 mm (L1 = 1300 mm × 6 mm) and case 2 with length L2 = 1450 mm, shaft body thickness b2 = 6 mm (L2 = 1450 mm x 6mm). The results show that for the short shaft (L1): total displacement Df1 =518.435 mm/m, twist angle θ1 =500 (rad) and for the long shaft (L2) the total displacement Df2 =875.35 mm/m and the twist angle θ2 =973.6 rad and the deformation in all directions are also larger for the long shaft (L2), thereby directly affecting the strength of the shaft. These results provide an important scientific basis for optimizing the design of drive shafts, increasing strength and reducing vibration in light vehicles.

The article highlights the shortcomings of the measuring systems used in rotary drilling today. In the course of analyzing the existing developments and research in the field of monitoring and controlling of the dynamic load on the bit, it was concluded that there are no measuring systems that provide an objective assessment of the amplitude of longitudinal vibrations. Mathematical models describing the dynamics of rotary drilling of wells were analyzed and the need to determine the amplitude for an objective assessment of the dynamic component of the actual load on the bit during drilling was established. The dependencies describing the behavior of compressible fluids during impact are considered. A methodology for measuring the amplitude of longitudinal vibrations during well drilling is proposed, and a laboratory stand is developed for adjusting and confirming the proposed methodology.

Improving crashworthiness in energy-absorbing structures is essential for enhancing safety in transportation and protective applications. Traditional foam-filled columns with uniform properties often suffer from inefficient stress distribution and limited energy absorption. This study investigates the dynamic performance of square columns filled with functionally graded foam materials (FGFM) to address these limitations. A finite element model was developed using Abaqus with dynamic implicit conditions and validated under a crush velocity of 14 m/s. The column geometry consisted of 240 mm length and 80×80×1.0 mm wall thickness, with the outer layer modeled as composite and the foam core represented using aluminum alloy AA6061-T4. Mechanical performance was evaluated for three different foam density gradation cases. Results demonstrated that Case 1 exhibited a 4.57-fold increase in modulus of elasticity compared to Case 3, with a corresponding 26.06% enhancement in energy absorption. Specific energy absorption values for Cases 1, 2, and 3 were 14.3, 12.6, and 12.1 J/g, respectively, showing a 17.49% improvement over previously reported uniform foam-filled structures. These findings confirm that FGFM configurations significantly enhance energy absorption efficiency and structural stability under dynamic loading, providing a promising strategy for crash-worthy design optimization.

This work presents a methodology for the design of simply supported wooden beams under both room temperature and fire conditions, with a uniformly distributed load. Forty-eight different configurations of wooden beams will be studied. All results were performed according to Eurocode 5, Parts 1-1 and 1-2. In this work, the load capability will be analysed according to the standards and compared with the elastic load of beam theory. The wooden beams studied will be made of glulam GL28H. Different exponential equations will be determined as representative of different beam geometries and loading conditions, which allows easy determination of the maximum load capability, rather than the standard methods, which are normally conservative and appropriate for use in design purposes with safety.

In the present paper, forced nonlinear vibrations of the Uflyand-Mindlin type plate subjected to the action of compressive harmonic loading are investigated for the case when damping forces are described by the fractional derivative Kelvin-Voigt model. The equations of motion are represented by a set of five nonlinear differential equations involving two in-plane displacements, deflection, and two angles of rotation, considering rotary inertia and shear deformations. The solution is constructed by the fractional derivative expansion method, which is the generalization of the method of multiple time scales usually used for problems with nonlinear differential equations of integer order. The simultaneous internal combinational and primary resonance case has been examined, and governing nonlinear differential equations have been derived. Numerical studies have been carried out for different combinations of plate parameters, and the influence of the fractional parameter, i.e., order of the fractional derivative, has been revealed.

Design for low-energy consumption is certainly not a new research field, yet it remains one of the most challenging. The synthesis of mechanisms with minimum-effort motions is one of the most promising areas. The aim of this study is to develop a new design technique to reduce the power consumption of actuators in mechanisms with a single degree of freedom. To achieve this, the prescribed variable speed of the input link is used. By controlling the movement of the input link with a prescribed velocity - defined to maintain constant kinetic energy in the mechanism—the input torque due to inertial effects is canceled. The originality of this approach lies in the fact that the mechanism is designed using traditional methods, while the cancellation of the actuating torque is achieved solely through optimal motion control of the input link. The effectiveness of the proposed solution is illustrated through CAD simulations.