Properties Of Mesh Research Articles

A parameterized modeling method for analyzing welding residual stress in orthotropic steel deck

This paper presents a new parameterized method for establishing OSD models and analyzing WRS, and two plugins are developed based on the graphical user interface (GUI) of Abaqus. This parameterized method addresses the extremely high cost of manual modeling of OSD in Abaqus. In the two presented plugins, the OSD dimensions and welds size, the material properties, the welding heating source, and the mesh properties are parameterized, and the OSD model can be created automatically by the plugins without users’ pre-processing operations in Abaqus, which significantly facilitates the OSD modeling and the WRS analysis. The plugins developed in this study can provide the WRS analysis in the OSD with any dimensions and welding technologies, and the applicability of the plugins is verified by the consistency between the simulated WRS analysis results by plugins and those reported in the literature.

Mechanical properties of steel mesh in anchor-mesh support for rocky tunnels

Mechanical properties of steel mesh in anchor-mesh support for rocky tunnels

A two-level semi-hybrid-mixed model for Stokes–Brinkman flows with divergence-compatible velocity–pressure elements

A two-level version for a recent semi-hybrid-mixed finite element approach for modeling Stokes and Brinkman flows is proposed. In the context of a domain decomposition of the flow region Ω, composite divergence-compatible finite elements pairs in H(div,Ω)×L2(Ω) are utilized for discretizing velocity and pressure fields, using the same approach previously adopted for two-level mixed Darcy and stress mixed elasticity models. The two-level finite element pairs of spaces in the subregions may have richer internal resolution than the boundary normal trace. Hybridization occurs by the introduction of an unknown (traction) defined over element boundaries, playing the role of a Lagrange multiplier to weakly enforce tangential velocity continuity and Dirichlet boundary condition. The well-posedness of the method requires a proper choice of the finite element space for the traction multiplier, which can be achieved after a proper velocity FE space enrichment with higher order bubble fields. The method is strongly locally conservative, yielding exact divergence-free velocity fields, demonstrating pressure robustness, and facilitating parallel implementations by limiting the communication of local common data to at most two elements. Easier coupling strategies of finite elements regarding different polynomial degree or mesh widths are permitted, provided that mild mesh and normal trace consistency properties are satisfied. Significant improvement in computational performance is achieved by the application of static condensation, where the global system is solved for coarse primary variables. The coarse primary variables are a piecewise constant pressure variable over the subregions, velocity normal trace and tangential traction over subdomain interfaces, as well as a real number used as a multiplier ensuring global zero-mean pressure. Refined details of the solutions are represented by secondary variables, which are post-processed by local solvers. Numerical results are presented for the verification of convergence histories of the method.

MoMa: Skinned motion retargeting using masked pose modeling

Motion retargeting requires to carefully analyze the differences in both skeletal structure and body shape between source and target characters. Existing skeleton-aware and shape-aware approaches can deal with such differences, but they struggle when the source and target characters exhibit significant dissimilarities in both skeleton (like joint count and bone length) and shape (like geometry and mesh properties). In this work we introduce MoMa, a novel approach for skinned motion retargeting which is both skeleton and shape-aware. Our skeleton-aware module learns to retarget animations by recovering the differences between source and target using a custom transformer-based auto-encoder coupled with a spatio-temporal masking strategy. The auto-encoder can transfer the motion between input and target skeletons by reconstructing the masked skeletal differences using shared joints as a reference point. Surpassing the limitations of previous approaches, we can also perform retargeting between skeletons with a varying number of leaf joints. Our shape-aware module incorporates a novel face-based optimizer that adapts skeleton positions to limit collisions between body parts. In contrast to conventional vertex-based methods, our face-based optimizer excels in resolving surface collisions within a body shape, resulting in more accurate retargeted motions. The proposed architecture outperforms the state-of-the-art results on the Mixamo dataset, both quantitatively and qualitatively. Our code is available at: [Github link upon acceptance, see supplementary materials].

Stearic Acid Modified Nano-ZnO Superhydrophobic Coating for Steel Mesh

Abstract To mitigate the detrimental effects of water on metal textiles, hydrophobic modification of such materials has garnered significant attention. However, traditional approaches often rely on complex procedures or costly materials, limiting their widespread application. Herein, we present a facile method for fabricating a superhydrophobic coating on steel mesh, and characterize the properties of the modified material. Initially, the surface of the dry steel mesh is uniformly coated with nano-ZnO crystals using a liquid deposition technique at room temperature. Subsequently, stearic acid is employed to hydrophobically modify the ZnO crystals, yielding a ZnO-based superhydrophobic coating. The influence of ZnO concentration and deposition duration on the surface crystal structure, hydrophobicity, and abrasion resistance is investigated. X-ray diffraction (XRD) analysis is performed to study the surface groups before and after hydrophobic modification, while static contact angle measurements are used to assess the hydrophobic properties of the coated surface. Remarkably, even after abrasion with 1000-mesh sandpaper, the superhydrophobic properties of the steel mesh with an optimized ZnO concentration decrease by only 4%. This simple, cost-effective, and highly efficient preparation method holds promising potential for applications in related fields.

A Novel Approach to Continuum FE Multiphysics Simulation of Batteries via Heterogeneous Homogenization

Advancements in modern technology necessitate batteries that can be safely charged and discharged at high rates with minimal aging. A promising strategy to achieve these ends is through optimization of porous microstructures of existing electrode materials to promote better electrical and ionic transport without compromising energy density, as has been shown experimentally by introducing laser ablation channels to the electrodes. The present work proposes a microstructure up-scaling methodology that efficiently accounts for material heterogeneity by assigning a porosity field to a continuum scale finite element mesh, effectively homogenizing materials while maintaining the heterogeneous porosity distribution inherent to the original microstructure. Constitutive relationships relating solid electric conductivity and pore tortuosity to local porosity are directly computed from fully resolved anode, cathode, and separator microstructure 3D models and assigned in the continuum as material properties of a finite element mesh. This allows for utilization of the computationally efficient, homogenized Newman model while maintaining dependency on the heterogeneous local porosity. Then, coupled electrochemical-thermal-mechanical-pore pressure finite element simulations are performed on the battery cell model with this heterogeneous porosity field, and associated local variations on transport properties are prescribed as material properties by the precomputed constitutive relationships. Performance metrics and lithium plating potential are compared to the results of simulations of the fully homogenized cell with the same constitutive relationships and to the base case of a fully homogenous cell with typical modelling assumptions applied to porosity dependent constitutive relationships. These comparisons are made both as a means of validating the methodology and to demonstrate the vast differences that arise when simplifying assumptions are used instead of the constitutive relationships of the actual material microstructure. Finally, the methodology is used in its intended optimization application to compare the performance of a typical battery microstructure to a similar porous microstructure with micro holes added via laser ablation. The results indicate that differences in the microstructure of materials with identical average porosities and similar constitutive relationships can have significant differences in both cell performance and aging that would typically be impossible to detect using fully homogeneous continuum modeling. Figure 1

Real-Time Study of the Specific Interactions of Lactoferrin with Mimicked Heparan Sulfate Meshes Using Ordered Porous Layer Interferometry.

Heparan sulfate (HS) meshes within the glycocalyx on cell surfaces have protein recognition ability and have been crucial for gaining insights into vital bioprocesses, such as viral infection, cancer development, and inflammation. The protein recognition ability is determined by the mesh property and compositions of HS, although little attention has been paid to the effect of the mesh property on the recognition. An in-depth specificity study of protein-HS-mesh recognition is essential to illustrate related biological functions. Here, ordered porous layer interferometry is applied to study the interaction behavior between mimicked HS meshes and lactoferrin (LF). Our work aimed at mimicking HS meshes with heparin, a widely used substitute of HS, and analyzing the specific LF-heparin-mesh interaction mechanism by inhibiting the nonspecific interaction in a blended sample. We found that the counterion release-based electrostatic interaction is dominant in the specific LF-heparin-mesh recognition. Furthermore, we detail the contributions of nonspecific and specific interactions to the recognition. We illustrate that the concentrated charge distribution of the proteins appears to be primarily related to this robust, specific recognition.

Investigation of ultrasonic welding of CF/PA66 using nylon mesh energy directors

AbstractCarbon fiber reinforced polyamide 66 (CF/PA66) sheets are ultrasonically welded by applying nylon meshes as energy directors (EDs) in this paper. The influence of mesh dimensions is revealed by observing the joint formation process, joint mechanical performance, joint cross‐sectional morphology and joint failure mode. Results show that the joint formation process can be divided into wire flattening stage, ED spread stage, tight bonding stage, and mixing stage. The nylon mesh ED with moderate wire spacing, small wire diameter and small mesh area promotes better weld quality. Welding energy will be dispersed rather than concentrated if the mesh area is too large, resulting in reduced failure load. The joints exhibit two fracture modes: interfacial fracture (IF) and workpiece fracture (WF), and the fracture mode of the joints with nylon mesh EDs transits from IF to WF as the welding energy increases.Highlights Five types of nylon mesh are used as energy directors to join CF/PA66 sheets by ultrasonic welding. The influence of nylon mesh dimensions on the mechanical property and fracture mode of joints is investigated. The formation process of ultrasonically welded joints can be separated into wires flattening stage, ED spread stage, tight bonding stage, and mixing stage.

Experimental Research on Uniaxial Tensile Properties of Expanded Steel Mesh with High Performance Cement Composite Mortar

Experimental Research on Uniaxial Tensile Properties of Expanded Steel Mesh with High Performance Cement Composite Mortar

A second-order in time, BGN-based parametric finite element method for geometric flows of curves

Over the last two decades, the field of geometric curve evolutions has attracted significant attention from scientific computing. One of the most popular numerical methods for solving geometric flows is the so-called BGN scheme, which was proposed by Barrett et al. (2007) [8], due to its favorable properties (e.g., its computational efficiency and the good mesh property). However, the BGN scheme is limited to first-order accuracy in time, and how to develop a higher-order numerical scheme is challenging. In this paper, we propose a fully discrete, temporal second-order parametric finite element method, which integrates with two different mesh regularization techniques, for solving geometric flows of curves. The scheme is constructed based on the BGN formulation and a semi-implicit Crank-Nicolson leap-frog time stepping discretization as well as a linear finite element approximation in space. More importantly, we point out that the shape metrics, such as manifold distance and Hausdorff distance, instead of function norms, should be employed to measure numerical errors. Extensive numerical experiments demonstrate that the proposed BGN-based scheme is second-order accurate in time in terms of shape metrics. Moreover, by employing the classical BGN scheme as mesh regularization techniques, our proposed second-order schemes exhibit good properties with respect to the mesh distribution. In addition, an unconditional interlaced energy stability property is obtained for one of the mesh regularization techniques.

Mandibular bone segmentation from CT scans: Quantitative and qualitative comparison among software

ObjectivesNowadays, a wide variety of software for 3D reconstruction from CT scans is available; they differ for costs, capabilities, a priori knowledge, and, it is not trivial to identify the most suitable one for specific purposes. The article is aimed to provide some more information, having set up various metrics for the evaluation of different software’s performance. MethodsMetrics include software usability, segmentation quality, geometric accuracy, mesh properties and Dice Similarity Coefficient (DSC). Five different software have been considered (Mimics, D2P, Blue Sky Plan, Relu, and 3D Slicer) and tested on four cases; the mandibular bone was used as a benchmark. ResultsRelu software, being based on AI, was able to solve some very intricate geometry and proved to have a very good usability. On the other side, the time required for segmentation was significantly higher than other software (reaching over twice the time required by Mimics). Geometric distances between nodes position calculated by different software usually kept below 2.5 mm, reaching 3.1 mm in some very critical area; 75th percentile q75 is generally less than 0.5 mm, with a maximum of 1.11 mm. Dealing with consistency among software, the maximum DSC value was observed between Mimics and Slicer, D2P and Mimics, and D2P and Slicer, reaching 0.96. SignificanceThis work has demonstrated how mandible segmentation performance among software was generally very good. Nonetheless, differences in geometric accuracy, usability, costs and times required can be significant so that information here provided can be useful to perform an informed choice.

Computational Fluid Dynamics Analysis on the Road Bike Using Different Flow Models under Extreme Inlet Velocity

At high velocities, the aerodynamic forces acting on the road bike and rider become more pronounced, potentially affecting stability and control. Riders might experience increased resistance, requiring more effort to maintain balance and direction. This research employs Computational Fluid Dynamics (CFD) to thoroughly examine the external aerodynamics of road bikes, focusing on pre-processing techniques and their impact on overall aerodynamic performance. The research applies CFD methods for geometry preparation, meshing, and material property definition within a structured workflow using a road bike model representative of the cycling industry via SimFlow software. Through systematic variations in extreme inlet velocities (40, 70, and 100 m/s) and the utilization of diverse turbulent models, k-ω Shear-Stress Transport (SST) and Reynolds-Averaged Navier-Stokes (RANS) with k-ε and k-ω, the study reveals intricate airflow patterns around the road bike. The results explain the complicated connection between turbulent models and inlet velocities and provide new information on critical aerodynamic parameters, such as pressure and maximum velocity of the road bike model.

From fibers electrospun with honey to the healing of wounds: a review

In order to take advantage of the antiseptic and healing properties of honey, the preparation of polymeric micro and nanofibers with honey from bees has been investigated in many parts of the world, in order to enhance their use in the development of biomedical products such as dressings, bandages and other elements that favor wound closure and tissue restoration. To contribute to this line of research, a background review is presented here on the application of the electrospinning technique in the preparation of micro and nanofiber membranes with honey, focusing on experimental methodology including the use of polymers, solvents, therapeutic agents, active principles or drugs loaded in apitherapeutic fibers. Electrospinning techniques and parameters, tests and material characterization methods have been compiled, presenting the effect of these variables on the compositional, morphological, mechanical and physicochemical properties of the fibrous meshes. A compendium of biological tests evaluated in vitro and in vivo was made in order to analyze the functionality and potential of the application of fibers in tissue engineering, as well as in the construction of devices for clinical diagnosis and in general for the development of advanced materials for wound treatment. This review sees the establishment of the methodological foundations for the design of new materials based on honey and plant extracts not yet explored, and which could be developed into compounds of high scientific and industrial interest.

ГЕНЕРАЦІЯ АКТИВНИХ ФОРМ КИСНЮ ЛЕЙКОЦИТАМИ КРОВІ ЩУРІВ ПІСЛЯ ІМПЛАНТАЦІЇ ХІРУРГІЧНОЇ СІТКИ З ПОКРИТТЯМ НА ОСНОВІ ТАНТАЛУ

Introduction. Over the past 20 years, polypropylene has become the main material used in hernioplasty, and has proven itself as an excellent material for the restoration of the abdominal wall during hernia repair. Since polypropylene surgical meshes do not decompose well in the body, they can stimulate the development of an inflammatory process in the surrounding tissues, which subsequently causes adhesions. The development of a postoperative inflammatory process after implantation of polypropylene surgical meshes is observed in 30–40 % of patients. This affects the management of the postoperative period, increases the time of stay of patients in the hospital and their period of convalescence. These data force scientists to continue the search for the optimal surgical mesh, which would suit specialists not only from the side of the physical properties of the surgical mesh, but also from the side of its biocompatible and anti-inflammatory properties. Tantalum is successfully used to produce biocompatible medical implants in surgery, orthopedics and dentistry. In previous studies, we have repeatedly noted its excellent anti-inflammatory and antibacterial properties, indicating the possibility of its use as a coating for mesh implants. One of the typical responses to surgical intervention is the generation of reactive oxygen species by leukocyte neutrophils, which are signaling molecules that damage the endothelium of vessels and promote the migration of cells of the immune system to the center of inflammation. The aim of the study – to determine the generation of reactive oxygen species in leukocytes of rats of the control group and experimental rats with implantation of uncoated and tantalum-based surgical meshes. Materials and Methods. ROS generation was assessed in rat blood leukocytes using the dye 2,7-dichlo­ro­dihydrofluorescein diacetate (H2DCFDA) by flow cytometry 28 days after implantation of uncoated and tantalum-coated surgical meshes. Results and Discussion. Analyzing the obtained results, it was determined that the use of tantalum-based surgical meshes does not cause excessive generation of ROS by leukocytes, in contrast to the use of an implant without a coating. Implantation of uncoated surgical mesh caused excessive production of reactive oxygen species in blood leukocytes of rats, as evidenced by statistically significant differences in the mean fluorescence intensity of 2,7- dichlorodihydrofluorescein diacetate. Conclusions. The use of tantalum-based surgical meshes causes less generation of ROS in leukocytes compared to the use of uncoated surgical meshes, and does not provoke the development of adhesions and purulent-septic processes in the postoperative period, which is confirmed by a morphological study. This determines the possibility of their use in surgical practice to improve the durability and stability of use as biomedical implants and prevention of adhesion formation.

Optimization of an innovative hybrid approach ZnO-Doped PVP nanofibers for electrical devices applications

The solid solution of pure ZnO nanoparticles and doped Polyvinylepyrrolidone (PVP) green hybrid nanomaterial’s synthesized by using the electro spinning method. The synthetic polymer matrix nonwoven fibrous mats containing innovative properties are shown to shrink and encapsulated the zinc oxide materials to change the surface morphology when the concentration of PVP is increased from 1 % to 2 % dopants. The crystalline nature and morphological studies were examined by using x-ray diffraction and a scanning electron microscope. The average crystallite sizes of easily formed ZnO nanoparticles and nanorods that are 21 nm and 62 nm respectively. Moreover, the electrical and optical properties of the fibrous mesh were determined by using electrical impedance analyzer. The electrical conductivity values were measured in the pure ZnO nanoparticles in contrast to the doped ZnO/PVP. The tangent loss, dielectric constant, capacitance and relaxation time values are revealed in this study. All the characterization has been carried out at room temperature. The relaxation time for 1 %, and 2 % ZnO/PVP is (0.8 ns) and (0.79 ns) respectively which is suitable for the application of trigger using devices. The overall findings of this study implemented in a wide range of technologies i.e. photonics, electronics and super capacitor devices etc.

REVEAL: A Global Full-Waveform Inversion Model

ABSTRACT We present REVEAL, a global-scale, transversely isotropic full-waveform inversion model. REVEAL builds upon the earlier construction of the long-wavelength Earth (LOWE) model by lowering the minimum period from 100 to 33 s and by more than doubling the number of included earthquakes to 2366. In the course of 305 quasi-Newton iterations, REVEAL assimilated a total of 6,005,727 unique three-component waveforms. The inversion method rests on the combination of a stochastic mini-batch optimization and wavefield-adapted spectral-element meshes. Although the former naturally exploits redundancies in the data set, the latter reduces the cost of wavefield simulations by reducing the effective dimension of the numerical mesh. As a consequence, the average cost of an iteration in this inversion is only around 0.62% of an iteration that uses the complete data set with a standard cubed-sphere-type mesh. We calculated 3D synthetic seismograms using a graphics processing unit-accelerated spectral-element wave propagation solver, accommodating the effects of anelasticity, topography, bathymetry, ocean loading, and ellipticity. For a diverse range of global wavepaths, REVEAL predicts complete three-component seismograms at 33 s period that have not been included in the inversion. This generalization to unseen data suggests applications of REVEAL in event location and characterization, as well as in ground-motion modeling.

Double-Layer Asymmetric Porous Mesh with Dynamic Mechanical Support Properties Enables Efficient Single-Stage Repair of Contaminated Abdominal Wall Defect.

Contamination tolerance and long-term mechanical support are the two critical properties of meshes for contaminated abdominal wall defect repair. However, biological meshes with excellent pollution tolerance fail to provide bio-adaptive long-term mechanical support due to their rapid degradation. Here, a novel double-layer asymmetric porous mesh (SIS/PVA-EXO) is designed by simple and efficient in situ freeze-thaw of sticky polyvinyl alcohol (PVA) solution on the loosely porous surface of small intestinal submucosal decellularized matrix (SIS), which can successfully repair the contaminated abdominal wall defect with bio-adaptive dynamic mechanical support through only single-stage surgery. The exosome-loaded degradable loosely porous SIS layer accelerates the tissue healing; meanwhile, the exosome-loaded densely porous PVA layer can maintain long-term mechanical support without any abdominal adhesion. In addition, the tensile strength and strain at break of SIS/PVA-EXO mesh change gradually from 0.37MPa and 210% to 0.10MPa and 385% with the degradation of SIS layer. This unique performance can dynamically adapt to the variable mechanical demands during different periods of contaminated abdominal wall reconstruction. As a result, this SIS/PVA-EXO mesh shows an attractive prospect in the treatment of contaminated abdominal wall defect without recurrence by integrating local immune regulation, tissue remodeling, and dynamic mechanical supporting.

Pathological Insights on Polypropylene Mesh Complications From Laparoscopic Sacrocolpopexy: A Case Series.

Background The use of polypropylene mesh in laparoscopic sacrocolpopexy (LSC) is a common treatment for pelvic organ prolapse (POP). Despite its widespread application, postoperative complications such as mesh pain and infection sometimes necessitate the removal of the mesh. However, it remains unclear in which cases mesh removal is warranted. Our research focused on the pathological changes at the sacral fixation point of the mesh. We sought to evaluate the pathological alterations of the sacral mesh removed through an innovative approach of transvaginal natural orifice transluminal endoscopic surgery (vNOTES). Methods This retrospective study included nine patients who underwent mesh removal surgery at the Yokosuka Urogynecology and Urology Clinic in 2023. Extraction surgery was performed using vNOTES with the GelPoint Access Platform (Applied Medical JAPAN HEADQUARTERS, Tokyo, Japan). Non-ablative Erbium YAG and Neodymium YAG lasers (RenovaLase, SP Dynamis; Fotona d.o.o., Ljubljana, Slovenia) were utilized for persistent stress urinary incontinence, fecal incontinence, vaginal erosion, and bleeding after surgery. Patients were categorized based on mesh fixation conditions, including unintended mesh overlap (Group I), excessive traction (Group II), and signs of mesh aging (Group III). This categorization helped to understand the distinct pathological outcomes associated with each condition. Results Pathological findings from the mesh removed via vNOTES varied significantly across the groups. In Group I, characteristic large vacuole formation and accumulation of atypical giant cells were observed, attributed to mesh overlap. Group II presented with vacuole formation, fiber degradation, and tissue destruction as a result of excessive mesh traction. In Group III, the aging of the mesh was marked by cracks in the surrounding tissues and granuloma formation. These detailed observations provide crucial insights into the underlying causes of mesh-related pain and other complications, highlighting the complexity of bodily responses to mesh implants. Conclusion This study demonstrated the effectiveness of vNOTES for polypropylene mesh removal in patients with post-LSC complications, resulting in significant pain reduction. Pathological analysis revealed that mesh-related issues stem from the surgical techniques, mesh properties, and long-term bodily reactions. These findings provide valuable insights for improving mesh design and POP treatment strategies. Despite the technical challenges, vNOTES is recommended for mesh removal in patients with pain. Additionally, the combination of UEL, VEL, targeted laser irradiation, AEL, and Nd:YAG laser treatments showed promising results in managing post-mesh removal complications such as stress urinary incontinence, vaginal erosion, bleeding, and fecal incontinence, offering hope for improved patient outcomes.

Assessment of URANS-Type Turbulent Flow Modeling of a Single Port Submerged Entry Nozzle (SEN) for Thin Slab Continuous Casting (TSC) Process

The numerical methods based on the unsteady Reynolds-averaged Navier–Stokes (URANS) equations are robust tools to model the turbulent flow for the industrial processes. They allow an acceptable grid resolution along with reasonable calculation time. Herein, the URANS approach is validated against a water model experiment for the special single port submerged entry nozzle (SEN) design used in the thin slab casting (TSC) process. A 1-to-2 under-scaled water model was constructed, including the SEN, mold, and strand Plexiglas segments. Paddle-type sensors were instrumented to measure the submeniscus velocity supported by videorecording of the dye injections to provide both qualitative and quantitative verification of the SEN flow simulations. Two advanced URANS-type models (realizable k–ε and shear stress transport k–ω) were applied to calculate velocity pattern on meshes with various resolutions. An oscillating single jet flow was detected in the experiment, which the URANS simulations initially struggled to reflect. The dimensionless analysis of the mesh properties and corresponding adjustment of the boundary layers inside the SEN allowed to resolve the flow pattern. The performed fast Fourier transform (FFT) verified a good numerical prediction of the flow frequency spectrum. The corresponding simulation strategy is proposed for the industrial CC process using the URANS approach.

Dynamic Mesh Simulations in OpenFOAM: A Hybrid Eulerian–Lagrangian Approach

The past few decades have witnessed a growing popularity in Eulerian–Lagrangian solvers due to their significant potential for simulating aerodynamic flows, particularly in cases involving strong body–vortex interactions. In this hybrid approach, the two component solvers are mutually coupled in a two-way fashion. Initially, the Lagrangian solver can supply boundary conditions to the Eulerian solver, while the Eulerian solver functions as a corrector for the Lagrangian solution in regions where the latter cannot achieve high accuracy. To utilize such tools effectively, it is vital for them to be capable of handling dynamic mesh movements. This study builds upon the previous research conducted by our team and extends the capabilities of the hybrid solver to handle dynamic meshes. While OpenFOAM, the Eulerian component of this hybrid code, incorporates built-in dynamic mesh properties, certain modifications are necessary to ensure its compatibility with the Lagrangian solver. More specifically, the evolution algorithm of the pimpleFOAM solver needs to be divided into two discrete steps: first, updating the mesh, and later, evolving the solution. This division enables a proper coupling between pimpleFOAM and the Lagrangian solver as an intermediate step. Therefore, the primary objective of this specific paper is to adapt the OpenFOAM solver to meet the demands of the hybrid solver and subsequently validate that the hybrid solver can effectively address dynamic mesh challenges using this approach. This approach introduces a pioneering method for conducting dynamic mesh simulations within the OpenFOAM framework, showcasing its potential for broader applications. To validate the approach, various test cases involving dynamic mesh movements are employed. Specifically, all these cases employ the Lamb–Oseen diffusing vortex, but each case incorporates different types of mesh movements, including translational, rotational, oscillational, and combinations thereof. The results from these cases demonstrate the effectiveness of the proposed OpenFOAM algorithm, with the maximum relative errors —when compared to the analytical solution across all presented cases—capped at 2.0% for the worst-case scenario. This affirms the algorithm’s capability to successfully handle dynamic mesh simulations with the proposed solver.