In the original publication [...].

This paper introduces an innovative approach to modelling boundary conditions for blood flow simulations in arteries with highly complex geometries and multiple outlets. In cases where the arterial cross-section varies significantly, employing analytical models like Windkessel to represent tissue resistance becomes particularly challenging. In this study, we propose a novel approach that combines a porosity model, which induces a pressure drop, with physiological outlet pressures to achieve realistic hemodynamic conditions in blood vessels. The total proportion of blood flow through the perforators was approximately 7.2 % for the BA and 11.6 % for the MCA, while maintaining physiological velocity values in the subsequent branches. The proposed method stands out for its relative simplicity in determining porous body parameters for outlets of varying diameters by quasi-iteratively adjusting two key values of the Power Law model. A major advantage of this approach is its accessibility to non-experts in fluid mechanics, as it does not require complex model reductions to 1D. The study also examines key parameters influencing artery remodelling processes, specifically wall shear stress divergence (WSSD). Furthermore, preliminary histopathological analyses confirm that regions with low WSSD exhibit structural changes in the vessel wall, leading changes similar to intimal hyperplasia. The original data such as DICOM images, artery geometry and domain mesh for the individual representations, together with UDF files for the initial boundary conditions, have been included in the Mendeley database: DOI: 10.17632/5vxtmcwr64.3 and basilar artery model in DOI: 10.17632/ng9mrrn2r7.3.

The growing popularity of virtual reality (VR) applications has been reflected in numerous studies, particularly those examining the effects of VR on the human body, physical activity, and sports training. Comparative research suggests that simulated environments can influence physiological and psychological responses in distinct ways. The integration of VR with electromyographic (EMG) systems opens new opportunities to study biofeedback and muscle activation during exercise in real-time. However, only a limited number of studies have provided quantitative data on muscle fatigue. In the present research eight healthy male participants from previously described studies were examined using a VR environment to explore muscle fatigue. EMG signals were recorded from three muscle groups, and knee flexion angles were monitored. A VR simulation developed in Unreal Engine 5 was designed to reproduce a natural river scene for rowing training. The Discrete Wavelet Transform (DWT) was applied to both previously collected and VR-based data, calculating median frequency (MDF) distributions and linear regression for lower extremity muscles. Wilcoxon signed-rank tests comparing VR and non-VR conditions for the measured muscles: the Rectus Femoris, Biceps Femoris, and Gastrocnemius Lateralis, did not reveal statistically significant differences (all p > 0.05). Although no significant differences were observed, the proposed methodology introduces a valuable framework for quantitative fatigue assessment. By integrating VR with EMG analysis, this approach provides new perspectives for investigating muscle fatigue and its modulation in immersive environments.

Background: Mechanical loading is a fundamental regulator of bone remodelling; however, the mechanotransduction mechanisms governing alveolar bone adaptation under tensile-dominant orthodontic loading remain insufficiently defined. In particular, the molecular pathways associated with tension-driven cortical modelling in the periodontal ligament (PDL)–bone complex have not been systematically interpreted in the context of advanced biomechanical simulations. Methods: A nonlinear finite element model of the alveolar bone–PDL–tooth complex was developed using patient-specific CBCT data. Three loading configurations were analysed: (i) conventional orthodontic loading, (ii) loading combined with corticotomy alone, and (iii) a translation-dominant configuration generated by the Bone Protection System (BPS). Pressure distribution, displacement vectors, and stress polarity within the PDL and cortical plate were quantified across different bone density conditions. The mechanical outputs were subsequently interpreted in relation to established mechanotransductive molecular pathways involved in osteogenesis and angiogenesis. Results: Conventional loading generated compression-dominant stress fields within the marginal PDL, frequently exceeding physiological thresholds and producing moment-driven root displacement. Corticotomy alone reduced local stiffness but did not substantially alter stress polarity. The BPS configuration redirected loads toward a tensile-favourable mechanical environment characterised by reduced peak compressive pressures and parallel (translation-dominant) displacement vectors. The predicted tensile stress distribution is compatible with activation profiles of key mechanosensitive pathways, including integrin–FAK signalling, Wnt/β-catenin–mediated osteogenic differentiation and HIF-1α/VEGF-driven angiogenic coupling, suggesting a microenvironment that may be more conducive to cortical apposition than to resorption. Conclusions: This study presents a computational–molecular framework linking finite element–derived tensile stress patterns with osteogenic and angiogenic signalling pathways relevant to alveolar bone remodelling. The findings suggestthat controlled redirection of orthodontic loading toward tensile domains may shift the mechanical environment of the PDL–bone complex toward conditions associated with osteogenic than resorptive responses providing a mechanistic basis for tension-induced cortical modelling. This mechanobiological paradigm advances the understanding of load-guided alveolar bone adaptation at both the tissue and molecular levels.

This paper presents a novel implementation of statistical and stochastic methods for estimating and evaluating reliability and availability indicators in technical systems. Using empirical failure data from a real-world military transport system, we introduce an innovative 7-state model that provides a detailed representation of operational phase of the systems. The research integrates Markov and semi-Markov processes to accurately model state transitions, particularly addressing scenarios where traditional Markov models are insufficient due to non-exponential state distributions. Our findings demonstrate that both statistical and stochastic methods yield closely aligned reliability and availability indicators, validating the robustness of the proposed methodologies. This research not only advances the accuracy of reliability assessments but also identifies actionable improvements to enhance operational readiness. They provide a comprehensive framework for analyzing and improving the operational efficiency of technical systems, with broader applications across various engineering fields.

Background: Adult patients with a thin buccal cortical plate and fragile periodontal phenotype are at high risk of dehiscence, fenestration and recession during transverse orthodontic expansion. Conventional mechanics often create a cervical compression-dominant environment that exceeds the adaptive capacity of the periodontal ligament (PDL)-bone complex. Objectives: This study proposes an integrative mechanobiological model in which a skeletal-anchorage-assisted loading protocol (Bone Protection System, BPS) transforms expansion into a tension-dominant regime that favours buccal phenotype preservation. Methods: Patient-specific finite element models were used to compare conventional expansion with a BPS-modified force system. Regional PDL stress patterns and crown/apex displacement vectors were analysed to distinguish tipping-dominant from translation-dominated mechanics. A pilot CBCT proof-of-concept (n = 1 thin-phenotype adult) with voxel-based registration quantified changes in maxillary and mandibular alveolar ridge width and buccal cortical plate thickness before and after BPS-assisted expansion. The mechanical findings were integrated with current evidence on compression- versus tension-driven inflammatory and osteogenic pathways in the PDL and cortical bone. Results: FEM demonstrated that conventional expansion concentrates high cervical compressive stress along the buccal PDL and cortical surface, accompanied by bending-like crown-root divergence. In contrast, the BPS protocol redirected forces to create a buccal tensile-favourable region and a more parallel crown-apex displacement pattern, indicative of translation-dominated movement. In the proof-of-concept (n = 1) CBCT case, BPS-assisted expansion was associated with preservation or increase of buccal ridge dimensions without radiographic signs of cortical breakdown. Conclusions: A tension-dominant orthodontic loading environment generated by a skeletal-anchorage-assisted force system may support buccal cortical preservation and vestibular phenotype reinforcement in thin-phenotype patients. The proposed mechanobiological model links these imaging and FEM findings to known molecular pathways of inflammation, angiogenesis and osteogenesis. It suggests a functional biomaterial-based strategy for widening the biological envelope of safe tooth movement.

The objective of the study was to undertake a preliminary analysis of the operational accuracy of a prototype suspension therapy apparatus. This entailed the establishment of the kinematic relationship between the movements imposed by the actuators and the movements of the participants’ body segments. The experimental procedure involved the taking of measurements on six participants (average age 32 ± 8 years, weight 67 ± 7 kg, height 178 ± 7 cm). Five movement sequences were observed, including rotation of the head, shoulders, and pelvis, and alternating movement of the shoulders, relative to the pelvis, and the head, relative to the shoulders. The movement of body segments and actuators was recorded using a Vicon optoelectronic system, based on passive markers. A virtual kinematic model was prepared for each of the measurements. It was found that the relationship between the actuator-imposed rotations and the resulting segmental rotations depended on the movement sequence and the body segment involved. The mean head rotation was 46.4° ± 1.2° (27.8% greater than the actuator setting) and the mean shoulder rotation was 23.8° ± 2.4° (11.1% greater), whereas the mean pelvic rotation (20.1° ± 0.9°) showed near agreement with the actuator-imposed value. In alternating movement sequences, distinct directional patterns were observed: head rotation remained greater than the actuator setting, shoulder rotation showed near-agreement or moderate increases, and pelvic rotation in the shoulder–pelvis sequence was markedly lower than the actuator-imposed rotation. The device demonstrates a high level of efficacy in mapping movements, particularly with regard to pelvic rotation. Differences in head rotation indicate the need for further optimisation of movement sequences. The results suggest mapping stability for the majority of participants, with isolated deviations requiring further investigation.

IntroductionWind energy is one of the most significant and rapidly growing renewable energy sources worldwide. It is a clean and environmentally friendly form of energy production, which emits no harmful substances or greenhouse gases during the power generation process. There has been a growing interest in research in the field of wind energy. In this article, an artificial neural network method is used to evaluate the forecasting of wind energy production from a small wind turbine (SWT) installed in central Poland, reflecting inland wind conditions.MethodsA comprehensive set of algorithms and results from simulations are presented. An artificial neural network (ANN) is trained and verified using a large observation dataset. The model includes four input variables: wind speed and direction, rotor speed, air temperature, and one output variable - the power generated by the turbine. Among the available neural networks, Multilayer Perceptron was selected. Genetic algorithms were used to optimize the structure of the model. The Pearson correlation coefficient was used to assess the correspondence between the predicted values and the actual ones. The modeling was carried out in MATLAB, and coefficients such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) were used to evaluate the prediction error.Results and DiscussionThe learning and testing performance of the neural network model using back propagation with feedback was 96.3% and 97.0%, respectively. Additionally, a sensitivity analysis of the predictive model was performed. The neural network model presented in the article provides accurate predictions of the power generated by a wind turbine. The results obtained confirm the effectiveness of the use of MLP-type neural networks in tasks related to the prediction of energy production in small wind turbines in inland locations.

The work attempts to investigate the causes of incorrect predictions of the Chapman-Kolmogorov system of equations generated during vehicle operation. When researching the process of exploitation of technical objects, Markov theory is often used in literature on the subject. Based on the developed Markov or semi-Markov models, on the one hand, basic reliability indicators (such as readiness) are assessed, and the evolution of the considered operation process is anticipated. The solutions of the Chapman-Kolmogorov system serve as the basis for preparing the forecast. For applications, forecasts of limit probabilities, determination times, and oscillation parameters of the probabilities of the states of the exploitation process are useful. The literature on the subject indicates the interdependence of each forecast on the estimation errors of all elements of the transition intensity matrix of the model, as well as errors in the calculation of its eigenvalues, as a potential cause of unsatisfactory forecast performance in continuous time. Considering the above, the main topic of this work was to investigate the correctness of the Chapman-Kolmogorov assumption for the vehicle operation process, the solution of which will make a significant substantive contribution to the current state of knowledge on modeling operation processes.

The aim of this study was to assess the impact of the variability of the Yeoh model when modeling the contact of bones through cartilage in the knee in compression and flexion–extension within a hybrid knee model. Firstly, a Sobol sequence of 64 samples and four variables representing the Yeoh parameters of the cartilage of the femur and tibia was generated. Based on these samples, 2 × 64 finite element contact models of the geometry of the sphere plane were generated and solved for healthy tissue affected by osteoarthritis. The resulting indentation curves were incorporated into a multibody knee joint model. The obtained results suggested that cartilage variability severely affected the knee in compression by up to 32%. However, the same variability also affected the flexion–extension motion, although to a lesser extent, with a relative change to the range of angular displacements of almost 7%. Osteoarthritic tissue was consistently more affected by this variability, suggesting that when modeling degenerated tissue, complex joint models are necessary.

Although several papers dealt with the ballistic impacts of the panels with the cellular structures used as the filling, none of them were aimed at the investigation of such structures considering level II of STANAG 4569 standard. Therefore, this paper demonstrates the implementation of the metallic cellular structures with regular topologies into the ballistic panel as an effective solution against ballistic threats. First, the manufacturing process of specimens made from Maraging M300 steel with the basic characterization of the material properties is discussed. For this purpose, the Selective Laser Melting (SLM) technique with a maraging M300 steel (1.2709) powder is used to manufacture specimens, steel plates and selected cellular structure. In the second stage, the experimental tests of ball bearing and 7.62 x 39 AP BZ steel-core bullet impacts into the printed targets are conducted. Next, the Tabulated Johnson - Cook (TJC) constitutive model is correlated and validated, which is adopted to reproduce the behavior of M300 steel targets through numerical simulations replicating the conducted experimental tests. Satisfactory results are achieved proving the credibility of the numerical modelling strategy. Finally, eight selected 2D topologies are proposed and the numerical simulations of ballistic test according to STANAG 4569 level 2 are performed. For the cellular topologies three different failure mechanisms are identified, namely the plastic deformation and blunting of the core tip, axial fragmentation of the core and bending/shearing fracture of the core, influencing the ballistic effectiveness. Strong differences for different topological configurations could be observed. The results are promising in the scope of developing ballistic panels, and the paper provides a valuable guide for modelling and simulating the projectile impacts into the panels made of cellular structures.

Thick struts and polymeric crystalline material are the potential mechanism of failure of the first generation bioresorbable scaffolds (BRS). We evaluated a novel fully amorphous bioresorbable scaffold (BRS) made of poly-L-lactide/poly-L-glycolide (PLLA/PLGA, Apollo, Biostent Consortium, Poland) in a porcine coronary restenosis model. Uncoated BRS (PLLA 120 μm, n = 7; PLLA 150 μm, n = 8; PLLA/PLGA 200 μm, n = 10) were implanted in 12 swine using OCT guidance and 110% overstretch. Follow-up included angiography, OCT, and histopathology at 30 and 90 days. At 30 days, OCT showed no significant differences in stenosis or neointimal hyperplasia between groups as represented by percent area stenosis (PLLA 120: 41% ± 17, PLLA 150: 52 ± 20%, PLLA/PLGA: 55 ± 6%; p = 0.07 ) and neointimal area (PLLA 120: 2.01 ± 0.8 mm2, PLLA 150: 2.57 ± 1.1 mm2, PLLA/PLGA: 2.02 ±0.8 mm2; p = 0.39). The average number and proportion of struts with no inflammation (score 0) was 7.2 fold higher in the PLLA/PLGA when compared to PLA 120 (p = 0,03). The endothelialization was nearly complete and comparable in all groups. At 90 days, PLLA/PLGA remained patent, covered, and free of restenosis, with positive remodeling and late lumen enlargement only in PLLA/PLGA group (lumen area 30 vs. 90 day: 1.86 vs. 3.40 mm², p = 0.02). The novel PLLA/PLGA BRS demonstrated improved healing, reduced inflammation and positive remodeling, supporting its potential for next-generation BRS.

Introduction: The aim of this study was to evaluate the effect of corticotomy incision depth on tooth movement and stress distribution in the periodontal ligament (PDL) during orthodontic expansion using finite element analysis (FEA). The demand for accelerated and biologically safe orthodontic techniques has highlighted the importance of understanding biomechanical responses to surgical adjuncts like corticotomy. Objective: The aim of this study is to assess the effect of corticotomy depth on tooth movement and periodontal ligament stress distribution during orthodontic treatment using finite element analysis. Materials and methods: A 3D FEM model was developed based on CBCT and intraoral scans to replicate anatomical structures and simulate clinical orthodontic scenarios. Four conditions were analyzed: no corticotomy and corticotomy incisions of 1 mm, 2 mm, and 3 mm depths, applied between roots and above the apex region. Different cortical bone densities were tested using Young's modulus values (12,500 MPa-27,500 MPa). Stress and displacement values were measured in both the crown and root regions. Results: The 3 mm corticotomy, penetrating through the cortical plate into the cancellous bone, significantly increased crown displacement (up to 26% in low-density bone) and altered root tipping patterns, reducing root movement relative to the crown. Shallower incisions (1-2 mm) had minimal effects. Despite increased movement, stress concentration in the cervical PDL region remained high across all scenarios, particularly in the premolar area, exceeding the 4.7 kPa threshold associated with tissue ischemia. Conclusions: Corticotomy depth is a critical factor for optimizing orthodontic tooth movement. Penetration into cancellous bone (3 mm) appears necessary to induce both: not only the Regional Acceleratory Phenomenon (RAP) but also to enhance displacement. However, this approach does not significantly reduce cervical PDL stress and offers limited periodontal protection. Individual planning based on bone density, morphology, and anatomical limitations is essential for balancing treatment efficiency and periodontal safety.

Cerebrovascular diseases are a growing social and clinical problem. The intravascular anatomy of the cerebral circulation remains poorly understood, although an increasing number of endovascular interventions are being conducted. The purpose of this study was to describe intravascular structures in the vertebrobasilar system and to investigate the hemodynamic consequences of their presence. Thirty anatomical specimens of the human brain were analyzed via angioscopy, and the presence of intravascular structures was documented. Additional histological studies were performed. The effect on blood flow was simulated using computational fluid dynamics. In 8 out of 30 cases (26.7%), the following endovascular structures were visualized: 6 strings, one septum, and one chord. The histological structure showed a layered pattern, resembling that of the arterial wall. Blood flow simulations revealed several areas of disturbed flow. Intravascular structures are common in the basilar artery. The reason for their formation is the incomplete fusion of the longitudinal neural arteries, and together with fenestrations, they belong to the basilar nonfusion spectrum. The presence of structures can cause technical difficulties and ischemic complications related to endovascular interventions. Hemodynamic changes caused by endovascular structures can promote atherosclerosis, thromboembolism, narrowing of the pontine arteries and the development of aneurysms.

Background and Purpose The pathogenesis of neurovascular diseases and various types of dementia is tightly connected to cerebral circulation. An area that requires further exploration is the system of deep cerebral perforating arteries—arteries branching directly from high-pressure intracranial arteries, supplying vital neural structures such as the internal capsule, and characterized by a diameter of well below 1 mm, which makes them difficult to visualize with standard radiological examinations. This study aimed to analyze the morphology of the perforator origins, which constitute connection points between high-pressure intracranial arteries and microcirculation. Methods Twenty-three human basal ganglia specimens with the middle cerebral artery (MCA, including 172 perforating arteries) and ten brainstem specimens with the basilar artery (BA, including 162 perforating arteries) were prepared and scanned using microcomputed tomography. The geometry and structure of the perforating arteries were analyzed using radiological images and additional histological studies. Results The ostia of the perforating arteries were ellipsoidal in shape with median stenosis severity of 23% and 20% for MCA and BA perforators, respectively. The local narrowing structure was typical of neointimal hyperplasia. Statistical analysis revealed that the severity of stenosis may be related to age and cardiovascular health. Conclusion Origins of the deep cerebral perforators are locally narrowed by neointimal hyperplasia, which may be a protective mechanism to adjust high blood pressure to the microcirculation. The narrowings may lead to chronic hypoperfusion and play a role in the pathophysiology of cerebral small vessel disease.

Background: Hydrostatic pressure in the periodontal ligament (PDL) plays a critical role in orthodontic treatment, influencing tooth movement and remodeling of periodontal tissue. The relationship between alveolar cortical bone density and the risk of root resorption due to excessive stress in the PDL has not been clearly defined. Objective: This study aimed to analyze hydrostatic pressure in the periodontal ligament of the tooth roots during en-masse retraction of the maxillary incisors using temporary skeletal anchorage devices (TISADs) after the first premolar extractions, as well as during full arch retraction. Methods: A numerical model was used, varying the Young’s modulus of cortical bone from 12.5 GPa to 27.5 GPa in increments of 3.0 GPa. Extreme values for bone stiffness were derived from the literature. In all the cases analyzed, the hook height was fixed at 6 mm, and the cranial surface was constrained. Results: Doubling the stiffness of the cortical bone approximately reduced the hydrostatic pressure in the PDL by 1.5 times for both full-arch retraction and post-first premolar extraction retraction. A critical hydrostatic pressure of 4.7 kPa was exceeded in full-arch retraction for low Young’s modulus of 12.5 Gpa values at forces as low as 600 g. On the contrary, for cortical bone with a high Young’s modulus of 27.5 GPa, this critical pressure was reached only at forces around 960 g, approximately 1.6 times higher. Conclusions: The density of the alveolar cortical bone significantly influences the hydrostatic pressure in the PDL of most tooth roots during orthodontic treatment. This parameter can be a critical factor in the risk of root resorption when optimal forces are exceeded. Further research is necessary to better understand these dynamics. Individual protocols for orthodontic treatment and CBCT imaging are necessary to minimize complications in the form of root resorption.

This research paper presents a comprehensive numerical-experimental analysis of the phenomena observed during the compression of small energy absorbers (EAs) with dimensions 23 x 23 mm and a thickness of 0.6 mm. This study uses the direct impact Hopkinson (DIH) method. The locus is the detailed prediction of the strength of laser-welded joints in terms of energy absorption under both quasi-static and dynamic loading conditions. Furthermore, the paper explores the potential utility of the described methodology for modeling and predicting the failure mechanisms of small energy absorbers. This investigation delves into key factors that affect the distribution of cracks in deformed energy absorbers. These include: the detail of the reproduction of the absorber geometry, the impact of finite element formulations and modeling method (2D/3D elements) and the complexity of the material model for propagated cracks. Two material models are considered, the simplified Johnson-Cook model and the tabulated Johnson-Cook with Hockett-Shelby extrapolation model, which incorporate linear damage dependent on the stress triaxiality and Lode angle. The study also highlights the advantages and disadvantages of the DIH test method. Some features cannot be effectively observed through experimental testing alone. The experimental procedure involved initial testing and calibration of the material models for both the parent material and the welded joints at three different strain rates. Subsequently, the validated energy absorber models are subjected to static and dynamic crushing. The results are subsequently compared with the virtual results obtained using the gravity hammer method, which is a more readily accessible testing approach. Remarkably, a very high correlation between the numerical simulation and experimental data is observed, providing a comprehensive understanding of the research problem related to laser-welded absorbers.

This paper investigates the energy absorption capacities of selected cellular topologies under quasi-static loading conditions. Twenty topologies with nearly identical relative densities belonging to 4 groups were examined: honeycomb, re-entrant, bioinspired and chiral. The topologies were modeled using an experimentally validated numerical ABSplus model and subsequently subjected to in-plane uniaxial compression tests. The findings revealed the topologies with the most favorable energy absorption parameters and the main deformation mechanisms. The topologies were classified by mechanism, and a parametric study of basic material properties, namely modulus of elasticity, yield stress, and ductility, was performed for a representative topology from each mechanism. The results indicated that the honeycomb group topologies were characterized by the largest average absorbed energy, and yield stress was found to have the greatest impact on energy absorption efficiency regardless of the main deformation mechanism.

Modeling the knee is an important factor in increasing the quality of life of both healthy individuals and patients. Nevertheless, the intricate nature of the knee makes this problem complicated. In this study, an extension to an established planar knee joint model with Hertzian contact pairs is proposed with contact mechanics based on polynomial chaos expansion surrogate. Firstly, the finite element (FE) model is made representing a contact pair of sphere-to-plane type with two layers on both bodies, corresponding to the cartilage and the bone. Five variables corresponding to both geometry and material parameters are used to parametrize this model. Then, 128 distinct variants of the FE model are created based on a quasi-Monte Carlo sequence. This dataset is used to train and validate the surrogate. The trained surrogate is proven to have predictive capabilities with an average nRMSE of 0.2% in randomized test/train splits. When included in a model of the knee and tested under parameter uncertainties in Monte Carlo simulations, it results in nRMSE of 58% for angular coordinate compared to the original model with Hertzian pair. This signifies the high influence of contact formulation on the model output and the need for more physically based models in knee contact modeling.

The properties and advantages of axial flow cyclones, which are increasingly used as the first stage of inlet air filtration for motor vehicle internal combustion engines, are presented. The need for research on through-flow cyclones to improve their filtration efficiency or reduce flow resistance is demonstrated. It has been shown that one of the factors that can increase the filtration efficiency of cyclones is the use of ongoing removal of dust separated from cyclones by extracting it with an additional stream. The phenomenon of dust extraction in cyclones has not yet been the subject of model studies. The authors decided to fill the gap in this area by designing a model of axial flow cyclone, in which the original solution is the use of current removal of dust by an additional stream from the cyclone's collection chamber and settling tank, where the separated dust is collected. Solutions of this type have not yet been considered in model cyclone studies. Simulation studies of the developed cyclone models with dust extraction were performed, which included the characteristics of filtration efficiency φc = (υ0), φc = (m0) and flow resistance Δpc = (υ0), Δpc = (m0). The obtained results were verified using experimental studies of the dust extraction cyclone available in the literature. It was shown that the model of a cyclone with dust extraction from a limited volume settling tank predicts well the cyclone characteristics φc = (υ0) in the range of higher (υ0 = 8-10 m/s) inlet velocities. For lower inlet velocities, the value from the experiment is more than 16% higher than that from model tests. Significant agreement was obtained in the course of the characteristics of filtration efficiency φc = (m0) for larger values (m0 = 10-20%) of the degree of suction.