3D Contour Research Articles

High-precision point cloud registration method based on volume image correlation

With the rapid development of binocular reconstruction, fringe projection profilometry, and time of flight, 3D imaging technology has been widely applied in the field of 3D measurement. However, due to limited measurement range and self-occlusion, point cloud registration methods are often used to obtain larger or more complete 3D contours. Although many scholars have proposed various point cloud registration methods, the accuracy and efficiency of point cloud registration still need to be further improved, especially for point clouds with different density or non-rigid transformation. Image registration technology based on image correlation has been developed for many years and has achieved great success in fields such as computer vision, photomechanics, and photogrammetry. Therefore, a simple and direct idea in this paper is to transform the point cloud registration problem into volume image correlation problem. By this, an efficient image registration method based on fast Fourier transform and an inverse compositional Gaussian Newton optimization method that only needs to calculate the Hessian matrix once can be introduced into the point cloud registration field, which can greatly improve the speed and accuracy of point cloud registration. Comparative experiments have shown that our method has doubled the accuracy and efficiency compared to the iterative closest point (ICP) method, and its practicality has also been verified in impeller reconstruction experiments.

CFD-based model of adsorption columns: Validation

The computational research on adsorption is of significant interest for process development and optimization. Despite the existence of unidimensional models that reproduce simple vertical columns, a further level of detail is required to understand the intricacy of transport phenomena within industrial-grade columns across time and space. With that in mind, this research work focuses on developing and validating a higher-dimensional model to reproduce the flow, heat, and mass transfer phenomena inside adsorption columns using Computational Fluid Dynamics (CFD). The mathematics of adsorption are coded into the commercial CFD solver, ANSYS Fluent v19.2, using User-Defined Functions (UDF). The model is implemented using a mathematical adaptation of Fluent's standard transport equations, so that the material and thermal effects of adsorption can be accounted for. The resulting model is validated against published experimental results for the single-component and competitive adsorption of N2 and CO2 on zeolite 13X on a small-scale pilot unit. Good agreement between our modelling results and experimental data is demonstrated. Afterwards, a modified column geometry with an inlet jet is used to explore the impact of gas injection on the unsteady spatial distribution of matter and energy. Radial gradients and 2D contour plots are illustrated in all cases to showcase the enhanced insight that a higher-dimensional model provides. Finally, this model can be used to predict comprehensive characteristics of adsorption columns of any design and size, taking into account different designs of inflow gas distributors in industrial scale columns. It includes a new sort of adsorption devices using monolith instead of packed beds. All model UDFs are open-source and can be found in supplementary materials.

Enhancing formula student car performance: Nose shape optimization via adjoint method

For a formula student vehicle, the nose is the first point of flow contact and decides the flow direction to help other aero components work efficiently. Therefore, an optimized nose shape is crucial for the optimum running condition of the vehicle. In recent years, Gradient-based optimization in the automotive industry has emerged with an adjoint approach. The adjoint solver is used to modify the geometry such as the nose of a car to the best optimal shape with respect to other design variables. Hence, the present study encompasses an examination conducted under six distinct Reynolds number conditions, specifically, 8.15 × 105, 9.05 × 105, 9.96 × 105, 10.87 × 105, 11.77 × 105, and 12.68 × 105. The simulation setup is validated using the Ahmed Body's 30° slant angle. The setup uses the k-omega SST turbulence model to capture the airflow phenomenon over the racing car. The simulation setup shows only a 0.07 % variation from the existing experimental findings. The results are represented in terms of different 2D plots, contours and streamline plots. The optimized nose has 27 % less drag and consumes 27.09 % less fuel than the base model at a Reynolds number of 10.8 × 105. To the automotive industry and race community, this optimization technique will be expected to enhance the vehicle's overall performance.

Analysis of noise levels in The Sultan Thaha Jambi Airport Area based on geographical information systems

This research focuses on the noise level at Sultan Thaha Jambi Airport due to aircraft activity which took place from 06.05 to 22.40 WIB. This research started from observation, collecting noise level data and measuring data. The method used is the Weighted Equivalent Continuous Perceived Noise Level (WECPNL) method to measure noise points at each measurement point. Measurement points were taken at 6 points for 24 hours/14 days. This research also uses a Geographic Information System (GIS) to map the distribution of noise levels. The research results showed that the highest noise values ​​occurred in the air side area and occurred during holidays. WECPNL results from April 27 to May 10 showed that the average noise index reached 58 to 59 (dB), close to the noise quality standard of 55 (dB). In the Liverpool airport and residential area, the purple color has an index <67 (dBA), which indicates low noise levels, while red indicates high noise level due to airport activities. WECPNL results from May 1 to May 5 had a noise index of 70.5 (dBA). 2D and 3D contour maps show that the darker the color, the lower the noise level, while the fainter the color, the higher the noise level. The benefits of this research are: For people living in the Jambi Sultan Thaha Airport area, it is hoped that they will be able to find out what effects can be caused by airport noise and know the regional zones that fall into noise level categories I, II, III.

Adsorptive removal of Pb2+ ions using stable imine linked covalent organic frameworks: A simulated and experimental studies

Porous organic frameworks that are bound covalently are eye-catching materials in the current research. The present work describes the solvothermal synthesis of a combination of 3,3′,5,5′-tetramethyl-[1,1′-biphenyl] 4,4′-diamine and benzene-1,3,5-tricarbaldehyde through covalent bonding to generate TBBT-covalent organic framework (TBBT-COF). The structural, morphological, and computational characterizations confirm the formation of COF. TBBT-COF has been used as an adsorbent for the removal of Pb2+ ions from aqueous media. The effects of pH, initial metal ion concentration, competing ions, and adsorbent dosage were optimized to attain maximum adsorption of Pb2+. The kinetics follow pseudo-second-order and govern the chemisorption of Pb2+ with the imine group of TBBT-COF. The X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) analyses of TBBT-COF after adsorption of Pb2+ support the chemisorption of Pb2+with TBBT-COF. The 2D contour and 3D surface response plots were used to assess the specific and comparative effects of the experimental variables. An analysis of variance (ANOVA) of the regression model was used to establish the relevance of the primary influencing variables on the adsorption of Pb2+over TBBT-COF. It was found to remove 99 % of Pb2+ in 90 min. The results of the real-sample analysis show the efficient removal of Pb2+ even in the presence of other cations. The statistical analysis of the adsorption has been conducted, which indicates the suggested models closely match the experimental data. The high surface area, covalency, and stability of TBBT-COF show its good adsorbent properties.

Variable-coefficient polynomial function method for finding the lump-type solutions of integrable system with variable coefficients

In this work, we study a ([Formula: see text])-dimensional variable-coefficient Caudrey–Dodd–Gibbon–Kotera–Sawada equation in fluid mechanics. The new lump and lump-soliton solutions are obtained by the variable-coefficient polynomial function method. We used 3D graphs, contour plots and density graphs to show that the amplitude and velocity of solitons are affected by some variable coefficients. It is proved that the polynomial function method with variable coefficients is very direct and effective for solving lump-type solutions in variable coefficient integrable systems, and more new conclusions can be obtained.

The effects of thermal radiation and heat source/sink on the flow and heat transfer characteristics of a hybrid nanofluid over a vertical stretching cylinder: Regression analysis

Originality: A novel category of working fluids, consisting of two substantial components diffused in a conventional fluid, has been identified and investigated widely in recent years. These types of fluids are called hybrid nanofluids. Problem statement: A wide range of engineering and industrial structures, including heat-transferring components, energy production, extrusion procedures, engine cooling purposes, thermal structures, thermal exchangers, chemical procedures, manufacturing processes and hybrid power plants, have been proposed for use with nanomaterials with improved thermal properties. These nanomaterial-based applications hold the promise of improved performance and efficiency in a variety of technological and industrial processes. The heat transmission and magnetohydrodynamic stagnation significance flow of hybrid nanofluids Fe3O4–ZrO2 and Fe3O4/water, the form factor of a stretched cylinder under the influence of heat production, nonlinear thermal radiation and nanoparticle volume fractions have been investigated in this study. Methodology: Utilizing proper similarity transformations, the processes of partial differential equations are further transformed into nondimensional solutions of ordinary differential equations. The bvp4c approach is employed to achieve a numerical solution. The flow and temperature profiles are displayed as a function of the contained factors. Graphs show the effects of changing the physical characteristics involved. Tables emphasize the skin friction factor and Nusselt numbers. Results: The temperature profile of fluids diminished due to an increment in the values of the temperature relaxation parameter and Eckert number. When the porosity factor is increased the temperature of fluids is improved. The effects of streamlines for various components are discussed. The 3D surface, contour plots and residual plots for various factors have also been investigated. Applications: Hybrid nanofluids have the potential to improve heat transfer efficiency in a variety of technical applications, including cooling structures, heat exchangers and thermal energy storage systems.

Impact of variable viscosity on asymmetric fluid flow through the expanding/contracting porous channel: A thermal analysis

This study aims to look at the problem of fluid flow through a rectangular channel between two parallel and permeable plates with expansion/contraction capability from two points of view. Considering that the fluid used in this study has properties such as non-Newtonian, Casson, incompressible, with temperature-dependent viscosity and MHD, and the fluid flow has properties such as two-dimensional, laminar unsteady, small electromagnetic force and electrical conductivity, an external magnetic field with uniform intensity. The governing equations for this problem with these features are non-linear partial differential equations (PDEs), which were converted into two non-linear ordinary differential equations (ODEs) using similarity transformation and solved analytically using the hybrid analytical and numerical (HAN-method). After using the similarity transformations, the profiles of similarity velocities, F(ξ), F′(ξ) and similarity temperature, θ(ξ) and their derivatives appear next to physical parameters such as A and R. As R changes from −10 to 10, the average values of F(ξ), F′(ξ), and θ(ξ) are increased while the value of A remains constant and positive, which shows that both plates have suction at the same time or injection at the same time. On the other hand, otherwise, when the value of A changes from −8 to 8, the average value of F(ξ) only increases, but the average values of F′(ξ) and θ(ξ) decrease while the value of R is constant and equal to 10. The results obtained in this article have been compared with other previous articles for validation. The most important novelty of this article is to express the changes in parameters using 3D and 2D contours. Changes in local skin friction coefficient and local Nusselt number were also investigated.

Numerical and Analytical Determination of Rockburst Characteristics: Case Study from Polish Deep Copper Mine

A simplified analytical method useful for ductile ground support design in underground mine workings is presented. This approach allows for maintaining the stability of sidewalls in rectangular openings extracted in competent and homogeneous rocks, especially in high-pressure conditions, favoring rockburst event occurrence. The proposed design procedure involves the typical assumptions governing the limit equilibrium method (LEM) with respect to a triangular rock block expelled from a sidewall of a long mine excavation subjected to normal stresses of the values determined based on the Maugis’s analytical solution concerned with stress distribution around the elliptical opening extracted within the homogeneous infinite elastic space. This stage of the local assessment of rock susceptibility to ejection from the walls of the excavation allowed for determining the geometry of the block whose ejection is most likely in a given geological and mining situation. Having extensive information about the geometry of the excavations and the properties of the surrounding rocks, it was possible to make an exemplary map of the risk from rockburst hazard, developed as the 2D contours of safety indexes’ values, for special-purpose excavations such as heavy machinery chambers, main excavations, etc. in conditions of selected mining panel of the deep copper mine at Legnica-Głogów Copper Basin, Poland. Another important element of the obtained results is the calculated values of the horizontal forces potentially pushing out the predetermined rock blocks. These forces are the surplus over the potential of frictional resistance and cohesion on the surfaces of previously identified discontinuities or on new cracks appearing as a result of overloading of the sidewalls. Finally, the presented algorithm allows us to perform quantitative tracking of rockburst phenomena as a function of time by determination of acceleration, velocity, and displacement of expelled rocks. Such information may be useful at the stage of designing the support for underground workings.

Dynamics of chemically reactive Carreau nanomaterial flow along a stretching Riga plate with active bio-mixers and Arrhenius catalysts

Nanomaterial flow has fascinated the concern of scientists across the globe due to its innovative applications in various manufacturing, industrial, and engineering domains. Bearing aforementioned uses in mind, the focal point of this study is to examine the Carreau nanofluid flow configured by the Riga surface with Arrhenius catalysts. Microorganisms are also suspended in nanofluid to strengthen the density of the regular fluid. Time-dependent coupled partial differential equations that represent the flow dynamics are modified into dimensionless patterns via appropriate non-dimensional variables, and handled through an explicit finite difference approach with stability appraisal. The performances of multiple flow variables are examined graphically and numerically. Representation of 3D surface and contour plots for heat transportation and entropy generation are also epitomized. The findings express that the modified Hartmann number strengthens the motion of nanomaterial. Reverse outcomes for heat transport rate and entropy are seen for the radiation variable. Concentration diminishes for chemical reaction variable. Activation energy enhances the concentration of nanomaterial, whereas reduction happens in the movement of microbes for bio-Lewis number. Greater Brinkman variable heightens the entropy.

Forehead flap reconstruction for post traumatic nasal defects: functional and aesthetic outcomes

The nose being the central unit is an important structure with a social and psychological significance. The reconstruction of nasal defects is complex as it involves the reconstruction of three separate structural layers which should be properly restored to maintain a functional nasal airway and an acceptable appearance. In this study, the aim was to reconstruct the 3D contour, border, outline and symmetry of the nose in post-traumatic defects with a forehead flap cover. A prospective study was conducted in the department of plastic and reconstructive surgery, over 3 years, 20 patients with post-traumatic nasal deformity were included in the study. The defects were categorized based on the subunits involved. The parameters recorded were age, sex, mode of injury, existing co-morbidities, habit of smoking and alcohol, any previous scar on the forehead, and history of previous surgery. Twenty patients underwent resection, out of which 13 (65%) were males and 7 (35%) were females using a para-median forehead flap cover. The most common mode of injury was road traffic accident in 12 (60%) cases, followed by animal/human bite in 5 (20%) cases and sharp cut injury in 3(15%) cases. (50%) patients required an intermediate stage after 3 weeks in which flap thinning was done with or without cartilage placement. Complications included suture dehiscence in one case for which re-suturing was done. 60% of patients were very satisfied with the results, and only 1 patient was unsatisfied. The forehead flap is a reliable choice for reconstruction in post-traumatic defects due to excellent color and texture match. Immediate reconstruction can be done in all the patients after adequate debridement under antibiotic coverage. Full thickness defects including the lining can be easily addressed by folding the flap.

A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging.

This study presents a 3D quantification methodology for the distribution of liver fat fraction (LFF) through the utilization of Dixon MRI image analysis. The central aim is to offer a highly accurate and non-invasive means of evaluating liver fat content. The process involves the acquisition of In-phase and Water-phase images from a Dixon sequence. LFF maps are then meticulously computed voxel by voxel by dividing the Lipid Phase images by the In-phase images. Simultaneously, 3D liver contours are extracted from the In-phase images. These crucial components are seamlessly integrated to construct a comprehensive 3D-LFF distribution model. This technique is not limited to healthy livers but extends to those afflicted by hepatic steatosis. The results obtained demonstrate the remarkable effectiveness of this approach in both visualizing and quantifying liver fat content. It distinctly discerns patterns that differentiate between normal and steatotic livers. By harnessing Dixon MRI to extract the 3D structure of the liver, this method offers precise LFF assessments spanning the entirety of the organ, thereby holding great promise for the diagnosis of hepatic steatosis with remarkable effectiveness.

Complex solutions for nonlinear fractional partial differential equations via the fractional conformable residual power series technique and modified auxiliary equation method

The fractional-order nonlinear Gardner and Cahn–Hilliard equations are often used to model ultra-short burst beams of light, complex fields of optics, photonic transmission systems, ions, and other fields of mathematical physics and engineering. This study has two main objectives. First, the main objective of this investigation is to solve the fractional-order nonlinear Gardner and Cahn–Hilliard equations by using the modified auxiliary equation method, which is not found in the literature. Second, the exact and approximate solutions of these equations are obtained by utilizing the fractional conformable residual power series algorithm and the modified auxiliary equation method. For the analytical and numerical solutions to two equations, we employ two separate techniques and establish consistency between the precise answers that are derived and the compatible numerical solution. To the best of our knowledge, this method of solving equations has never been investigated in this manner. The 2D and 3D contours have been defined using appropriate parametric values to support the physical compatibility of the results. The assessed findings suggested that the approach used in this study to recover inclusive and standard solutions is approachable, efficient, and faster in computing and can be considered a useful tool in resolving more complex phenomena that arise in the field of engineering, mathematical physics, and optical fiber.

Three-Dimensional Reconstruction for the Whole Lung with Early Multiple Pulmonary Nodules.

For patients with early multiple pulmonary nodules, it is essential, from a diagnostic perspective, to determine the spatial distribution, size, location, and relationship with surrounding lung tissue of these nodules throughout the entire lung. This is crucial for identifying the primary lesion and developing more scientifically grounded treatment plans for doctors. However, pattern recognition methods based on machine vision are susceptible to false positives and false negatives and, therefore, cannot fully meet clinical demands in this regard. Visualization methods based on maximum intensity projection (MIP) can better illustrate local and individual pulmonary nodules but lack a macroscopic and holistic description of the distribution and spatial features of multiple pulmonary nodules. Therefore, this study proposes a whole-lung 3D reconstruction method. It extracts the 3D contour of the lung using medical image processing technology against the background of the entire lung and performs 3D reconstruction of the lung, pulmonary artery, and multiple pulmonary nodules in 3D space. This method can comprehensively depict the spatial distribution and radiological features of multiple nodules throughout the entire lung, providing a simple and convenient means of evaluating the diagnosis and prognosis of multiple pulmonary nodules.

Buckling performance of inner corrugated pressure shells under external hydrostatic pressure

The most fundamental and central component of submarines and deep-sea space stations is the cylindrical pressure shell. In this paper, a pressure shell with inter corrugated structure was proposed to significantly improve its compression performance. 7 pressure shells including 6 inner corrugated pressure shells and 1 cylindrical pressure shell were fabricated and hydrostatic pressure tested. Geometrical deviations including thickness deviation and out-of-roundness were considered between the actual fabricated pressure shells and the ideal models. 3D scanner was used to measure the 3D contour point cloud data of all shells and the reverse modeling was performed. Nonlinear finite element analysis of reverse modeled shells containing actual geometric imperfections were performed to predict their buckling performance under external hydrostatic pressure. The results show that the corrugated structure can significantly increase the critical buckling load of the pressure shell. The failure positions of most pressure shells in the critical buckling state were mainly located near the middle region of the shell. The numerical calculation results were in good agreement with the experimental results. This research can provide good guidance for the design of pressure structures for large deep-sea equipment such as submarines and deep-sea space station.

Deep Learning-Based Quality Assurance for Auto-Segmentation Masks in Radiotherapy

Deep learning-based auto-contouring has shown great promise in several disease sites including GU and head and neck. However, quality assurance (QA) is key to identify poor auto-contours which is time consuming. We hypothesis that training a deep learning model to predict contour quality metrics, such as Dice coefficients (DSC) and associated uncertainties for QA. We trained a 3D U-Net-based DL model for segmenting the target and three clinical-relevant OARs (bladder and rectum). To mimic the slice-by-slice review process in clinical practice, we then trained a 2D ResNet-based DL model to predict the 2D DSC for each 2D slice's contour, generated by the 3D segmentation model. Using the Monte Carlo dropout technique, we made 20 independent predictions per slice, with the final DSC calculated as their average and uncertainty estimated as 95% prediction intervals (PI). The study cohort consisted of 912 prostate cancer patients who received definitive radiotherapy. The 3D auto-segmentation model was trained on 129 patients and validated on 20, before being tested on 763 patients. The 2D DSC prediction model was trained on 293 patients with 11116 slices, validated on 73 patients with 2804 slices, and tested on 366 patients with 14117 slices. Rectum was chosen to test the 2D contour QA model as it is the most challenging OAR. We categorized 2D slices into three groups based on the lower and upper bounds of the prediction intervals. "no/minor edits" (lower bound > = 0.9), "major edits" (lower bound < 0.9 and upper bound > = 0.8), and "not acceptable" (upper bound < 0.8). The model performance was quantified by calculating correlation coefficients between predicted and ground truth DSC and the fraction of cases that were correctly identified in each category. The results of the study showed that the overall correlation coefficient between predicted, and ground truth DSC was 0.842. The model was able to correctly identify 78.3%, 60.7%, and 53.4% of the "no/minor edits", "major edits", and "not acceptable" cases, respectively. This study provides a valuable tool for clinicians in making quick decisions on the acceptance, rejection, or revision of auto-segmented masks during the radiation therapy planning process by providing quantitative results on predicted DSC and associated uncertainties.

Deterministic risk assessment of hydrogen leak from a fuel cell truck in a real-scale hydrogen refueling station

Deterministic risk assessment for hydrogen installations offers an integrated solution for H2 risk assessment, incorporating a hydrogen release model, a site-specific 3D geometry model, a Computational Fluid Dynamics (CFD) tool, and a consequence analysis methodology. Empirical engineering models expedite the preparation of source terms and harm evaluations, while CFD generates 3D contours of radiation and overpressure loads. A case study is provided by investigating a gaseous hydrogen leak of a truck in a refueling station with a large roof. The effects of leak diameters, roof configurations, and ignition locations on hydrogen dispersion, combustion, and hazard analysis are examined. Results indicate that the majority of the burnable cloud accumulates in a half-meter layer under the ceiling, diminishing within a minute. The impact of thermal radiation on individuals is insignificant, but overpressures increase the likelihood of structure failures, indirectly affecting human fatality. These findings inform the optimization of refueling station design and safety management.

3D Analysis of Hydrogen Distribution and Its Mitigation Using Passive Autocatalytic Recombiners (PARs) Inside VVER-1000 Containment

Hydrogen is a flammable gas that can generate thermal and mechanical loads which could jeopardise the containment integrity upon combustion inside nuclear power plants containment. Hydrogen can be generated from various sources and disperses into the containment atmosphere, mixing with steam and air following a loss of coolant accident and its progression. Therefore, the volumetric hydrogen concentration should be examined within the containment to determine whether a flammable mixture is formed or not. Codes with 3D capabilities could serve this examination by providing detailed contours/maps of the hydrogen distribution inside containment in view of the local stratification phenomenon. In this study, a 3D VVER-1000 as-built containment model was sketched in AutoCAD and then processed into GOTHIC nuclear containment analysis code for hydrogen evaluation. The model was modified to a great extent by installing 80 passive autocatalytic recombiners and locating hydrogen sources to evaluate the performance of the hydrogen removal system inside the containment on maintaining the hydrogen concentration below the flammability limit during a large break loss of coolant accident. 2D profiles and 3D contours of volumetric hydrogen concentration with and without PARs are presented as the simulation outcome of this study. The results were validated against the results of the Final Safety Analysis Report, which also demonstrates the effectiveness of the hydrogen removal system as an engineered safety feature to keep the containment within a safe margin. Detailed 3D contours of hydrogen distribution inside containment can be employed to evaluate the local hot spots of hydrogen, rearranging and optimising the number and location of PARs to avoid the hydrogen explosion inside containment.

Three-dimensional visualisation of traffic noise based on the Henk de-Klujijver model

Abstract Visualisation of road traffic noise is vital for traffic noise planning policies. Several factors affect the noise from road traffic with physical and environmental conditions. Collecting noise levels around the world is not a possible task. Therefore, calculating noise levels by a valid noise model, and spatial interpolations, is prime to traffic noise visualisation. In this study, the Henk de Klujijver noise model is used. Designing noise observation points (Nops) embedding with a three-dimensional (3D) building model and identifying the best suitable spatial interpolation are important to visualise the traffic noise accurately. However, interpolating noise in 3D space (vertical direction) is a more complex process than interpolating in two-dimensional (2D) space. Flat triangles should be eliminated in the vertical direction. Therefore, the structure of Nop has a major influence on spatial interpolation. Triangular Irregular Network (TIN) interpolation is more accurate for visualising traffic noise as 3D noise contours than Inverse Distance Weighted and kriging. Although kriging is vital to visualise noise as raster formats in 2D space. The 3D kriging in Empirical Bayesian shows a 3D voxel visualisation with higher accuracy than 3D TIN noise contours.

Abundant time-wavering solutions of a modified regularized long wave model using the EMSE technique

This research article presents the application of the enhanced modified simple equation integral technique to obtain abundant time-wavering solutions of the modified regularized long wave (RLW) model. The model is known for its significance in exploring wave phenomena in various fields, including shallow water dynamics, pressure waves in liquids and gas bubbles, nonlinear transverse waves in magneto-hydrodynamics, and ion-acoustic waves in plasma. By implementing the enhanced modified simple equation integral technique, we construct arbitrary time-varying wave solutions for the model, resulting in a diverse range of solitonic waveforms. These solutions include kink waves, anti-kink waves, bright and dark bell waves, double periodic waves, and combinations of solitons and periodic waves. The obtained solutions are visually presented through 2D and 3D density and contour plots. Our findings demonstrate the effectiveness and potential of the enhanced modified simple equation integral technique in identifying innovative time-varying soliton solutions within the modified RLW model.