Simulation Research Research Articles

Nurse Practitioner Education: Recommending Theories and Frameworks for Simulation-Based Experiences and Research

Simulation-based education is an evidence-based strategy to address learning and evaluation of outcomes in the updated American Association of Colleges of Nursing Essentials. Currently, there is a dearth of rigorous research on nurse practitioner education simulation. Studies on the topic often neglect a sound theoretical or conceptual framework beyond the National League of Nursing Jeffries Simulation Theory. This article aims to explore and distinguish the implementation of various theories and frameworks to determine how these elements can be stand-alone or used in combination to explore simulation-based experience competency outcomes. Specific recommendations for simulation research are (a) to include learning theories, (b) level learning and track competency progression using a framework, and (c) use a framework for measuring outcomes. Simulation science for nurse practitioner education can be advanced through united and consistent use of established theories and frameworks. These efforts will inform emerging best practices of simulation-based learning to address competition-based learning initiatives, validity of high-stakes simulation evaluation, and how to credit learners for simulation activities.

Experimental and numerical simulation research on shock wave rock-breaking by high voltage electric pulse

High-voltage electric pulse(HVEP) drilling technology has the advantages of high rock-breaking efficiency, green and non-polluting. Aiming at the importance of HVEP drilling technology in generating plasma channels, plasma shock waves, and rock-breaking pits, this paper carries out multi-physics field numerical simulations and indoor electric pulse breakdown experiments. This paper first constructs a two-dimensional numerical model of rock electric breakdown. The simulation of HVEP rock breaking, plasma channel and plasma shock wave is realized from the five-field coupling and combined with the wave control equations. The effects of different electrode shapes on the plasma channel, breakdown channel and shock wave are analyzed. Then, this paper designed an indoor HVEP rock-breaking experiment to investigate the influence of different electrode shapes on rock breakdown and plasma shock waves. The simulation and experimental results show that the indoor electric pulse breakdown experiment results are consistent with the simulation results; The plasma channels are formed by the ‘electrical damage’ through each other, and the secondary plasma channel is often generated inside the rock. The generation of the secondary plasma channel means that the rock fragmentation depth and the fragmentation area will be increased; The larger the contact area of the electrode bit with the rock, the larger the radius (volume) of the plasma channel and the smaller the amplitude of the plasma shock wave; The quadrangular electrode bits have the best rock-breaking effect and are recommended; The conical electrode bit has the most excellent dispersion in the statistical analysis of the electric pulse rock-breaking effect, and the stability of the rock-breaking effect is poor, so it is recommended to use it together with the composite drill bit; The cylindrical electrode bit has the best aggregation degree of electric pulse rock-breaking and the most stable rock-breaking effect.

Low-cost simulation in health professions education: A bibliometric analysis and literature review of 20 years of research

IntroductionGaining practical experience in health professions education is a significant challenge. Simulation-based training has emerged as a key solution to this issue, but the high costs associated with advanced equipment and software limit accessibility for many institutions. Hence, to close this gap, this study aims to map the research field of low-cost simulation in health professions education through a bibliometric analysis. MethodsUtilizing a bibliometric study design, we analyzed publications from 2003 to 2022 in the Scopus Database, in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Publications discussing low-cost simulation in English were included. Data points such as research design, study location, and outcomes were extracted. The Scival Platform and VosViewer were used to analyze publication trends, prolific institutions, authors, journals, and conceptual and intellectual structure. ResultsThe study found an increase in low-cost simulation research from 2003 to 2022, with significant growth after 2015. Observational studies predominated (68.57%), with general surgery being the most studied specialty. Less than half of the studies reported cost details, and only 2 compared the low-cost model with a standard. The United States led in scientific production, with notable collaboration networks. The keyword co-occurrence and co-citation analyses highlighted 4 main clusters in low-cost simulation research, emphasizing surgical training. ConclusionsThis investigation highlights the expanding interest in low-cost simulation to enhance access to hands-on training in health professions education, especially under financial constraints. However, the research field requires further development, particularly in validating these models against their more expensive counterparts. Such validation is crucial for ensuring the effectiveness and comparability of low-cost simulation.

Numerical simulation and experimental researches on different abrasive grain arrangements of monolayer diamond grinding tools fabricated by HFCVD method

The hot filament chemical vapor deposition (HFCVD) method has been used to fabricate monolayer diamond grinding tools, whose abrasive grain arrangements can be achieved by patterned masks. The orderly arrangement pattern of abrasive grains can improve the grinding trajectory density of abrasive grains and reduce the workpiece surface roughness. In this study, the numerical simulation method is used to investigate the effect of abrasive grain pattern arrangements on the grinding trajectories and ground surface topographies, including Archimedes spiral, concentric circular, phyllotactic, disordered, and staggered patterns. The simulation results indicate that the grinding trajectory is most uniform and dense when applying the staggered pattern arrangement, and the workpiece surface roughness is lower than that of the other pattern modes. Then monolayer diamond grinding tools with five types of abrasive grain patterns are fabricated on the SiC substrate by HFCVD method. The grinding tool surface has a complete grain pattern and as-grown diamond film on the substrate is homogeneous in thickness, which is regarded as the bonding layer of the abrasive tools. EDS carbon element mapping and Raman spectra analysis reveal that the as-grown diamonds, both on substrates and seeds, exhibit high quality. Grinding experiments are performed utilizing CVD diamond grinding tools. The ground surface with a staggered pattern exhibits the lowest surface roughness without periodic grinding bands, as is consistent with the simulation results. Besides, the graphitization evaluation and worn feature statistics show that abrasive grains are of low levels of graphitization and high quantity of dynamic active grains as well as have slight abrasive grain wear and large chip space applying staggered pattern, which is the ideal abrasive grain arrangement pattern.

Effect of burner structural parameters on combustion characteristics and NOx emission of natural gas

The low-nitrogen combustion of natural gas has always been a crucial topic in environmental protection. Currently, small and medium-sized industries use straight-through pipelines as their burner nozzles. This design results in poor heat diffusion capacity after mixed combustion and a long time of temperature diffusion, leading to low combustion efficiency and high NOx emissions. To address this issue, a new type of natural gas low-nitrogen burner with a multi-port diffusion nozzle was developed. The burner’s structure was optimized through a combined approach of experiment and numerical simulation. The optimal structural parameters for the burner are a 40° swirl angle and 8 swirl blades, as indicated by the numerical simulation research results. The designed multi-port diffusion nozzle is matched with the appropriate swirl angle and number of blades to promote natural gas diffusion, forming an annular space region flames and a stable flame shape with a height of 0.64 m. After optimization, the average concentration of NOx at the outlet of the combustion chamber decreased from 61.5 ppm to 20.81 ppm. A natural gas low-nitrogen combustion experimental system was designed and constructed based on simulation results. The experimental results were analyzed in terms of flame structure characteristics, temperature distribution, and NOx emissions. The results indicate that the trend in temperature change is consistent with the simulation process. The NOx concentration at the outlet of the combustion chamber was measured by the flue gas analyzer to be 34.1 ppm, which was 5.3 ppm lower than the NOx concentration calculated by numerical simulation. The new burner exhibited better flame stability and a 12.6 % reduction in NOx emissions compared with a traditional straight-through pipeline burner of the same size. The designed natural gas low-nitrogen burner appears to be a suitable device for reducing NOx emissions in small and medium-sized industries.

Numerical simulation research on thermal insulation performance of composite heat-insulation zone structure in hydrothermal high-temperature mine

In hydrothermal high-temperature abnormal mines, the composite heat-insulation zone structure, formed through a combination of guniting and grouting, serves to mitigate heat dissipation from the surrounding rock into the airflow. To comprehensively understand the thermal insulation performance of the composite heat-insulation zone structure, this study employs numerical simulation to analyze the following aspects: the variation in the temperature field within the surrounding rock of the roadway without insulation, the influence of structural parameters of the composite heat-insulation zone on temperature distribution in the surrounding rock of the roadway, and the thermal insulation effectiveness of the composite heat-insulation zone with varying structures. The findings indicate that the temperature distribution within the surrounding rock of the roadway lacking a heat-insulation zone is relatively uniform. However, as ventilation time extends, the heat regulation zone within the surrounding rock gradually extends deeper, ultimately forming an elliptical cooling area. The composite heat-insulation zone structure effectively mitigates heat transfer from deeper surrounding rock to the roadway wall, consequently altering the scope of the roadway's heat regulation zone. Enhancing the thermal insulation performance of the composite heat-insulation zone structure can be achieved by increasing the thickness of the thermal insulation layer, adjusting grouting rate and depth, and reducing the thermal conductivity of insulation materials. The thermal insulation effectiveness of the thermal insulation layer surpasses that of the grouting layer, with its performance primarily influenced by the thermal conductivity of the materials used. Simulation results demonstrate that the composite heat-insulation zone structure reduces the maximum heat flux on the roadway wall from 47.4 to 37.7 W/m2, resulting in a 20% reduction in heat transfer from deeper surrounding rock. These findings offer valuable insights for implementing thermal insulation techniques in hydrothermal high-temperature anomaly mines.

Simulation research on Tai Chi movement posture resolution based on multi-MEMS sensor combination

The combined system based on multiple MEMS sensors is a miniature measurement system used for dynamic output and display of 3D information about the user's posture. It is mainly used for various Tai Chi movement posture calculation simulation research, wearable devices, etc. This article explores MEMS sensor technology, focusing on MEMS sensor data processing, Tai Chi movement position calculation and fusion calculation positioning algorithm. Due to the high noise characteristics of MEMS sensor devices, time series analysis is used to model MIMU signals and Kalman filtering is optimized. As a research field, simulation of Tai Chi movement appears in the intersection of biomechanics, robotics and computer science. The purpose is to create a computer model to simulate the natural and real body movements of the human body under certain conditions. In addition to creating special effects, Tai Chi movement posture calculation simulation can also be used for operation training and research on body structure. This article first introduces the typical applications of several MEMS sensor combinations, and then introduces the key technology of studying Tai Chi movement simulation. The kinematics and mechanics data of Tai Chi are obtained using biomechanical measurement technology, while the individual simulation of Tai Chi dynamics is realized in a certain mode of the machine. By creating a kinematic model of the human upper limb, and finally creating a flexible machine that imitates the human upper limb, to analyze the kinematic characteristics of the human upper limb, and cleverly realize the imitation of active interaction, the simulation of human movement and the solution of Tai Chi movement posture Simulation.

Multi-energy field simulation and experimental research on laser composite machining of micro-holes

Thin-walled micro-holes are frequently used in aerospace components to achieve specific functions, such as heat dissipation and filtration. However, traditional manufacturing technologies face difficulties in achieving precision machining of these holes due to deformation caused by cutting force or heat. Laser machining is a highly flexible and efficient advanced processing technology that aims to achieve precise machining of thin-walled holes. However, it is important to note that the thermal energy generated by the laser can cause deformation of the thin walls. To address these issues, this paper proposes a process that combines laser and backside electrochemical composite machining. The model for laser electrochemical composite processing after through-hole formation suggests that the laser's temperature rise effect on the electrolyte can significantly enhance the efficiency of electrochemical processing. Furthermore, the laser exerts a micro-zone stirring effect on the electrolyte in the processed micro-zone, which promotes the liquid-phase mass transfer process during the electrochemical reaction. Furthermore, a one-way experiment was conducted to investigate the effects of the main laser parameters on the processing results. The results indicated that higher laser power, as well as lower laser frequency and scanning speed, significantly reduced the edge damage and pore taper of the processed micro-holes. The language used is clear, concise, and objective, adhering to a formal register and avoiding biased or ornamental language. Technical terms are consistently used and explained when first introduced. The text is grammatically correct and free from spelling and punctuation errors. Furthermore, this process has significantly reduced the oxygen content and surface roughness of the sidewalls of the micro-holes.

The Application Potential of Artificial Intelligence and Numerical Simulation in the Research and Formulation Design of Drilling Fluid Gel Performance.

Drilling fluid is pivotal for efficient drilling. However, the gelation performance of drilling fluids is influenced by various complex factors, and traditional methods are inefficient and costly. Artificial intelligence and numerical simulation technologies have become transformative tools in various disciplines. This work reviews the application of four artificial intelligence techniques-expert systems, artificial neural networks (ANNs), support vector machines (SVMs), and genetic algorithms-and three numerical simulation techniques-computational fluid dynamics (CFD) simulations, molecular dynamics (MD) simulations, and Monte Carlo simulations-in drilling fluid design and performance optimization. It analyzes the current issues in these studies, pointing out that challenges in applying these two technologies to drilling fluid gelation performance research include difficulties in obtaining field data and overly idealized model assumptions. From the literature review, it can be estimated that 52.0% of the papers are related to ANNs. Leakage issues are the primary concern for practitioners studying drilling fluid gelation performance, accounting for over 17% of research in this area. Based on this, and in conjunction with the technical requirements of drilling fluids and the development needs of drilling intelligence theory, three development directions are proposed: (1) Emphasize feature engineering and data preprocessing to explore the application potential of interpretable artificial intelligence. (2) Establish channels for open access to data or large-scale oil and gas field databases. (3) Conduct in-depth numerical simulation research focusing on the microscopic details of the spatial network structure of drilling fluids, reducing or even eliminating data dependence.

Calibration of contact parameters of sandy soil for planting tiger nut based on non-linear tools

A methodology combining physical experiments with simulation was employed to acquire contact parameters of sandy soil precisely for planting tiger nuts in the desert area of Xinjiang. The stacking angle under different parameter combinations was applied as a response value. Through the Plackett–Burman test, several factors that have a significant influence were determined. The steepest ascent test was conducted to establish the finest scope of values for these parameters. The stacking angle was considered the response variable, and non-linear tools were used to optimize these parameters for simulation. The findings showed that applying response surface methodology (RSM) resulted in a relative error of 1.24%. In the case of BP-GA, the relative error compared to the physical test value was 0.34%, while for BP, it was 2.18%. After optimization using Wavelet Neural Network (WNN), the relative error was reduced to only 0.15%. Results suggest that WNN outperforms the RSM model, and the sandy soil model and parameters generated using WNN can be effectively utilized for discrete element simulation research.

Numerical Simulation Research on Combustion and Emission Characteristics of Diesel/Ammonia Dual-Fuel Low-Speed Marine Engine

Amid increasingly stringent global environmental regulations, marine engines are undergoing an essential transition from conventional fossil fuels to alternative fuels to meet escalating regulatory requirements. This study evaluates the effects of injection pressure, the timing of ammonia injection, and the pre-injection of ammonia on combustion and emissions, aiming to identify optimal operational parameters for low-speed marine engines. A three-dimensional model of a large-bore, low-speed marine engine in a high-pressure diffusion mode was developed based on computational fluid dynamics (CFD). Simulations were conducted under 25%, 50%, 75% and 100% loads with a high ammonia energy substitution rate of 95%. The results indicate that, compared to traditional pure diesel operation, adjusting the injection pressure and the ammonia injection timing, along with employing appropriate pre-injection strategies, significantly enhances in-cylinder pressure and temperature, improves thermal efficiency, and reduces specific fuel consumption. Additionally, the dual-fuel strategy using diesel and ammonia effectively reduces nitrogen oxide emissions by up to 37.5% and carbon dioxide emissions by 93.7%.

Photovoltaic Model Parameters Estimation Via the Fully Informed Search Algorithm

Effective parameter estimation for photovoltaic (PV) systems holds significant importance for both researchers and industry professionals. An accurate understanding of PV models, achieved through modeling and simulation, plays a pivotal role in optimizing the design, control, testing, and forecasting of PV system performance. Developing a precise and robust parameter identification method significantly contributes to enhancing the modeling, control, and optimization of photovoltaic systems. In this context, our research contribution introduces a novel version of Rao metaheuristic algorithm named the Fully Informed Search Algorithm (FISA). Which demonstrate acceptable performance to solving optimization problems in several applied fields. While, maintaining the simplicity and non-parametric nature of the original algorithm. The proposed algorithm holds promise for various industrial applications, particularly in optimizing complex systems such as photovoltaic (PV) systems. For which, we used it to efficiently identifying the parameters of the single-diode model (SDM). Thus, we demonstrate its effectiveness through the application in two distinct case studies within our simulation research. in the end, we compared the results of FISA algorithm to seven other well-known algorithms, the obtained results indicate the superiority of the proposed algorithm in term of the stability of the system, a faster convergence and higher accuracy.

The role of [formula omitted] on controlling the pure vaterite transformations

Vaterite calcium carbonate (CaCO3) possesses unique advantages compared to calcite; however, some critical issues need to be addressed, such as vaterite stability. Numerous studies have indicated that NH4+ can promote vaterite formation and prevent its transformation. However, as vaterite is an instantaneous microscopic process that is easy to transform, directly revealing the role of NH4+ in stabilizing vaterite remains challenging in experiments. This research aims to reveal the role of NH4+ in stabilizing vaterite and retarding phase transformations. Vaterite stabilization was investigated at different NH4+ concentrations and characterized by XRD and SEM. The reaction system’s pH, electrical conductivity, and surface tension changes were analyzed in the presence of NH4+. Computational and experimental studies were utilized to determine the role of NH4+ in the stabilization of vaterite. Results revealed that NH4+ can significantly increase the existence time of vaterite in the water solution. The density functional theory (DFT) indicated that the adsorption energy of NH4+ and vaterite (110), (112), and (114) is obviously higher than that of H2O molecules. The molecular dynamics (MD) simulation research shows that NH4+ can replace water molecules on the crystalline surface of vaterite and mainly interact with carbonate ions on the surface of vaterite. The mechanism analysis shows that the inhibitory effect of NH4+ on the phase transformation of vaterite is primarily caused by preventing the dissolution process. This study systematically explains the role of NH4+ in the stability of vaterite and further reveals that NH4+ can not only promote the formation of vaterite but also play a decisive role in inhibiting its phase transition.

Simulation and experimental research on the cavitation phenomenon of wedge-shaped triangular texture on the surface of 3D-printed titanium alloy materials

This study explores how wedge-shaped microtexturing enhances Ti6Al4V alloy's anti-friction and wear resistance, aiming to improve titanium alloy applications. A three-dimensional model was built using Ansys Software, and optimal parameters were selected: 900 µm for the bottom edge and height, 300 µm for the texture depth. The properties of Ti6Al4V samples with wedge-shaped triangular weave were tested using the MRTR-1 friction and wear experimental machine. The wear changes on the sample surface were analyzed by scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). The results show that the texture significantly improves the load-carrying capacity of the oil film in a three-dimensional hydrodynamic model that takes into account the cavitation effect, and the direction and depth of the texture have a significant effect on the pressure. Friction experiments showed that the wedge-shaped triangular texture reduced the average coefficient of friction and wear compared to the non-textured surface. The Ti6Al4V material with a 3D printed wedge-shaped triangular texture showed the best friction and wear resistance at a texture depth of 300 µm and in a counterclockwise orientation. The vortex structure formed within the texture is the primary mechanism that provides hydrodynamic lubrication to the friction surface and effectively retains lubricant and debris. This helps to minimize three-body wear between the friction pair.

Finite Element Analysis and Simulation Research on Body Welding Hole Shape and Welding Optimization for Automotive Lightweighting

Finite Element Analysis and Simulation Research on Body Welding Hole Shape and Welding Optimization for Automotive Lightweighting

Effect of particle/matrix interface parameters on mechanical properties of high-energy propellant based on three-dimensional RVE model

Abstract For composite solid propellant, the interface is the medium to transfer the load between particles and matrix. Because there are a large number of particle/matrix interface layers in the propellant, the mechanical properties of the interface become an important factor affecting the macro-mechanical properties of the propellant. It is necessary to study the influence of different interface mechanical parameters on the mechanical properties of high-energy propellants. In this paper, the three-dimensional representative volume element (RVE) model of solid propellant is established, and the three-dimensional bilinear cohesion interface parameters are established for this model. The influence law of interface parameters on its mechanical properties is obtained through simulation research. The results show that both the interfacial strength and the maximum failure displacement of the interface affect the tensile strength of high-energy propellant, and the interfacial strength plays a leading role and is very significant.

Simulation of Electromagnetic Waves Propagation Using Matlab

This research explores the simulation of electromagnetic wave propagation using MATLAB, focusing on both 2D and 3D environments. By deriving the wave equation from Maxwell's equations, we utilize the Finite Difference Time Domain (FDTD) method for numerical solutions. The MATLAB code implementation demonstrates the propagation of electric and magnetic fields and is validated through visualizations. Practical applications, including telecommunications, medical imaging, and microwave engineering, are examined through case studies on antenna design and waveguide analysis. Challenges in simulation, recent advances, and future research directions are discussed, providing a comprehensive overview of electromagnetic wave propagation and its technological implications.

Numerical Study on Valve Closing Criteria during Pump-turbine Start-up on Pump Mode

Abstract Vibrations of exhaust pipes have been observed in some hydropower stations during the exhaust process of pump-turbine start-up on pump mode due to water ingress into the pipes. It may have a safety risk for the pump-turbine start-up process when exhaust pipes are operating under the compressed air-water two phase flow. Since the numerical simulation researches about pump start-up process have been rarely reported and the development of flow field in exhaust pipe is lack of quantitative cognition, it calls for an urgent need to supplement related works. In this paper, the transient full-channel two-phase numerical simulation research on the pump mode return water exhaust process of a pumped power station is carried out by Reynolds-Averaged Navier-Stokes approach. This work put emphasis on the characteristics of cone water level, runner torque and air speed in exhaust pipes after the compressed air released from the runner chamber. Then development laws and relationship with the exhaust valve closing timing are analysed and concluded. Results show that the cone water level, runner torque and air speed pulsation signal of exhaust pipes can be used as exhaust valve closing criteria, and the third criterion has the largest time margin.

Editorial

This issue of Learning and Teaching: The International Journal of Higher Education in the Social Sciences features authors from the United Kingdom, Belgium, Argentina, Ecuador and Norway. They write about the creation of a transnational university alliance and its signature approach to education, the evolution of a faculty writing group, introducing students to computer modelling and simulation research methods, the value of reading ethnographies in preparation for fieldwork, teaching and learning criminological theory and organising paired discussions in class.

Experimental and numerical simulation research on fluid pressure drop inside sintered metal porous plates

Experimental and numerical simulation research on fluid pressure drop inside sintered metal porous plates