Dynamic Simulation Model Research Articles

Grasping characteristics of SMA bionic flexible dexterous hand

In order to achieve the mechanical performance of grasping objects with SMA bionic flexible hands, a tendon finite element modeling method is proposed in this article to meet the mechanical requirements of the tendon being subjected to only axial forces and not radial forces. By using finite element dynamic simulation and experimental testing methods, the mechanical characteristics of the SMA bionic hands during the grasping process are analyzed and validated. A finite element dynamic simulation model of the SMA bionic hand grasping process is established to study the overall stress characteristics and contact forces of each phalanx, revealing the grasping characteristics of the bionic hand under SMA driving conditions. By creating a physical prototype of the SMA bionic hand, grasping of different objects is achieved. The results show that the stress in the grasping state of the bionic hand does not exceed 21 MPa, the sum of contact forces is 22 N, the theoretical grasping force is 13 N, and the prototype can grasp objects within a diameter range of 70 mm.

Design and Simulation of End Effector for Young-Pear-Bagging Robot

In order to address the time-consuming and labor-intensive challenges as well as the suboptimal operational quality encountered in the conventional processes of fruit bagging within expansive orchards, an innovative end-of-bagging actuator is proposed, which can be installed on a fruit-production robot. Due to the excessive power sources required to complete the bagging operation, while also taking into account the quality and cost of the end effector, we have implemented a clutch transmission system to control individual motors, thereby achieving efficient bag-opening and collection actions. Through kinematic analysis of the bagging end effector, the optimal bag opening size is determined to be 40.3372 mm, with a deviation of 0.1428 mm from the design target and an error rate of 0.35%. This ensures the desired bag size for bagging juvenile fruits. Moreover, a dynamic simulation model comprising rigid drive components and a flexible clutch was developed. The simulation results demonstrate the system’s stable performance. However, it is evident that the gear speed falls below that of the flexible clutch, resulting in insufficient bag opening and bag gathering compared to the intended design target. The observed phenomenon is a result of the characteristics exhibited by the flexible clutch. Specifically, the demands for bagging and stretching can be accommodated by modifying the stiffness and geometric configuration of the flexible clutch, alongside the level of operational force. To conclude, the suggested end effector can successfully simulate the implementation of the manual bagging process. By taking into account the quality and cost of the end effector, a clutch drive system was utilized to regulate a single motor, resulting in efficient bag-opening and collection actions. This approach offers a more integrated and efficient solution compared to manual bagging and semi-automatic mechanically assisted bagging methods.

Development of a Dynamic Semi-empirical Model for Simulation of Copper Electrowinning Processes

Dynamic process models present an opportunity to investigate optimization and control strategies for the energy-intensive copper electrowinning process. In this paper, a dynamic semi-empirical model of the copper electrowinning process was developed to predict the copper yield, current efficiency, and specific energy consumption. The model uses input variables readily measured in industrial tankhouses and incorporates the ability to induce step or pulse disturbances in the electrolyte composition or flow rate. Dynamic bench-scale electrowinning data were used to show how the model may be calibrated and validated for use in predicting electrowinning performance. Overall, the performance of the developed dynamic model lends credence to the application thereof for operator training, process monitoring, and early fault detection. The model also represents a further step towards investigating advanced control strategies for the electrowinning process.

Retracted: Construction of Land Ecological Sustainable Evaluation System Based on Dynamic Simulation and TOPSIS Model

Retracted: Construction of Land Ecological Sustainable Evaluation System Based on Dynamic Simulation and TOPSIS Model

Strategy and capacity optimization of renewable hybrid combined cooling, heating and power system with multiple energy storage

Combined cooling, heating, and power systems offer significant potential for integration with renewable energy sources, such as solar and geothermal energy, alongside energy storage devices. However, the effectiveness and feasibility of these systems depend crucially on the operational strategies and capacity planning for each component. Therefore, an innovative hourly dynamic simulation model that integrates solar energy, geothermal energy, and multiple energy storage devices is established. Using the multi-objective comprehensive evaluation method that combines Technique for Order Preference by Similarity to Ideal Solution methods and non-dominated sorting genetic algorithm-II including elite strategy, establish five dimensions of multi-objective optimization model, including energy-saving, economy, environmental protection, system independence and renewable energy utilization scale. Meanwhile, the system and reference system in a community in Beijing are used as models to analyze the equipment capacity under the three operating strategies. The findings reveal that, compared to the reference system, the new system attains optimal performance when following the electrical load strategy. Its comprehensive index reaches 69%, surpassing the thermal load and hybrid load strategies by 8% and 11%, respectively. When the target is set as “independence-renewable energy-cost,” the utilization rate of solar energy and geothermal energy reaches an impressive 79%, showcasing excellent renewable energy utilization. The presented model holds substantial significance for advancing research in the realms of operating strategies and equipment capacity planning within such systems.

Steady-State and Dynamic Simulation for Wastewater Treatment Plant Management: Case Study of Maghnia City, North-West Algeria

Given the critical importance of addressing effluent quality concerns, the present study was dedicated to developing a dynamic simulation model based on the Activated Sludge Model 1 (ASM1) of a wastewater treatment plant located in Maghnia City, Algeria. The model calibration process involved collecting and analyzing 56 samples from the plant over a period of 18 months (from July 2021 to January 2023). Thirteen physicochemical parameters were analyzed to identify the variations in their water quality over time. Stoichiometric and kinetic parameters were adjusted during the plant calibration process. These modifications resulted in a reasonable alignment with the investigated variables, enabling the accurate prediction of the wastewater treatment plants (WWTPs)’ steady-state behavior regarding the removal measurements of chemical oxygen demand (COD), total suspended solids (TSS), and ammonium (NH4-N). The model was validated using 14-day measurements spanning a 4-month duration, and the results indicated good agreement between the observed and simulated effluent variable of chemical oxygen demand (COD) with a root mean square error (RMSE) of 23%. These findings highlight the utility of the ASM1 Model in comprehending and managing the intricate dynamics of the activated sludge process in wastewater treatment plants.

Investigating the Functional Mock-up Interface as a Coupling Framework for the multi-fidelity analysis of nuclear reactors

This paper investigates the use of the Functional Mock-up Interface (FMI) for code coupling in nuclear engineering. The FMI is a standard that defines a container and an interface to exchange dynamic simulation models. It has been developed and refined by several actors over the past two decades. This coupling standard allows seamless integrations of independent objects called Functional Mock-up Units (FMU). Since communication among FMUs is standardized, encapsulating a simulation tool and model within an FMU allows this tool and model to be coupled with any other FMU. This approach is opposed to creating dedicated code-to-code coupling interfaces and enables a more sustainable approach to code coupling in nuclear engineering. The paper showcases the utilization of the FMI standard for the simulation of an operational load-follow scenario in a Lead-cooled Fast Reactor. The primary circuit and balance of the plant are modeled using higher and lower-fidelity codes, respectively, with a third tool employed to model a simplified control system. The paper investigates the pros and cons of the proposed approach by exercising it throughout the following workflow: incorporation of the FMI standard into an existing code; setting up of models using different codes; coupling of these codes based on different architectures; simulation and post-processing of results. As an outcome, implementing an FMI interface presents itself as a judicious long-term investment for simulation software. However, users and developers should be aware of the limited FMI capabilities for the coupling of partial differential equations. In addition, a coupling standard by itself cannot address some difficulties, such as simulation restart, that are associated with the handling of a heterogeneous set of tools.

Simulation Study on Dynamic Characteristics of the Chain Drive System for Mining Scraper Conveyor Driven by the Permanent Magnet Synchronous Motor

The chain drive system represents a critical subsystem within the scraper conveyor. This paper proposes a joint simulation model for the drive system of the scraper conveyor, driven by the permanent magnet synchronous motor, in order to conduct a comprehensive analysis of the dynamic characteristics of the chain drive system during the operational process. Firstly, the dynamic simulation model for the mining scraper conveyor’s chain drive system was established in ADAMS, taking into account its structural characteristics. Then, the mathematical model of the permanent magnet synchronous motor was established using the coordinate transformation theory, and the speed controller based on vector control was designed by using the theory related to sliding mode control. The coupling relationship between the chain drive system of the scraper conveyor and the permanent magnet synchronous motor drive system was investigated. Finally, a joint simulation model of the mechanical system and motor control system was created using ADAMS (View 2019) and MATLAB/Simulink (2020a). The dynamic characteristics of the chain drive system were analyzed, and the three typical working conditions of no load, half load, and rated load were considered. The results show that the contact force between the flat ring and the sprocket undergoes an initial increase, followed by a decrease, and finally another increase. As the load increases from no load to full load, there is a marked increase in the contact force between the loaded side chainrings. Due to the polygon effect, both the speed curve of the permanent magnet drive motor and the contact force curve between the ring chains exhibit periodic fluctuations. The research in this paper provides an idea for the coupling analysis of the scraper conveyor electromechanical system.

Sensitivity of Mass Geometry Parameters on E-Scooter Comfort: Design Guide.

E-scooter vibrations are a problem recently studied. Theoretical models based on dynamic simulations and also real measurements have confirmed the high impact of e-scooter vibrations on driver comfort and health. Some authors recommend improving e-scooter damping systems, including tyres. However, it has not been suggested nor has any research been published studying how to improve e-scooter frame design for reducing driver vibrations and improving comfort. In this paper, we have modelled a real e-scooter to have a reference. Then, we have developed a multibody dynamic model for running dynamic simulations studying the influence of mass geometry parameters of the e-scooter frame (mass, centre of gravity and inertia moment). Acceleration results have been analysed based on the UNE-2631 standard for obtaining comfort values. Based on results, a qualitative e-scooter frame design guide for mitigating vibrations and increasing the comfort of e-scooter driver has been developed. Some application cases have been running on the multibody dynamic simulation model, finding improvements of comfort levels higher than 9% in comparison with the e-scooter reference model. The dynamic model has been qualitatively validated from real measurements. In addition, a basic sensor proposal and comfort colour scale is proposed for giving feedback to e-scooter drivers.

Demand side management full season optimal operation potential analysis for coupled hybrid photovoltaic/thermal, heat pump, and thermal energy storage systems

In view of the excessive energy consumption caused by building demand-side matching, it is very important to combine energy storage systems and renewable energy to improve equipment energy efficiency and building energy efficiency, and correctly match demand-side management (DSM). This paper combines the energy coupling system with demand-side management to get the best balance of energy production and power grid load pressure. A photovoltaic/thermal coupling system that can be combined with heat pumps and energy storage in a single building is proposed, and a dynamic simulation model is developed to describe its operating performance. The simulation results show that the coupling system has a good energy-saving effect in the heating and cooling seasons. The energy-saving potential of the applied management strategy is 41.77 %, and the energy-saving rate is increased by 9.56 %. The cost and energy usage in different configurations are analyzed to evaluate the feasibility of combining the coupled system with demand-side management applications. It is found that the energy consumption of the coupled system is low, and the economy of its configuration selection is related to the peak and valley electricity prices, and the corresponding optimal configuration reduces the economic consumption by 58.89 % per year, which is 27.18 % less than that when the management strategy is not implemented. In addition, due to the utilization of hybrid PV/thermal energy and the smoothing effect of the temperature after heat energy storage, the payback period of the coupled system is as low as 6.23 years without relying on specific tariff factors.

The dynamic impact of oil shocks on the Saudi stock market: new evidence through dynamic simulated ARDL approach

PurposeThe paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.Design/methodology/approachThe authors perform a novel dynamic simulated the autoregressive distributed lag (ARDL) on weekly data from 2010 to 2021.FindingsThe authors' work reveals three main results: First, a cointegration relationship exists between oil prices and the Saudi stock market index. Second, the Saudi stock market is strongly affected by fluctuations in oil prices in both the short and long run. Third, the exchange rate of the USA dollar has a slight influence on the movements of the Saudi stock market. The simulations show that the Saudi stock market index has a long-run upward trend after an oil price shock, while the dollar index rises moderately after a similar shock. Moreover, the first months of the COVID-19 pandemic coincided with a significant decline in the Saudi stock market index, particularly the substantial drop in oil prices.Practical implicationsThese findings encourage domestic and foreign investors to benefit from an upward trend in oil prices, especially after the opening of the Saudi market to foreign investment. On the other hand, it raises questions about the Saudi economy's dependence on oil as the sole vehicle for output growth. It highlights the urgent need for diversification and productivity growth in the non-oil sector and other renewable natural resources to increase Saudi competitiveness.Originality/valueThe novelty of the research lies in the following. First, the authors apply one of the latest developments in time-series modeling techniques. This dynamic ARDL simulation model provides a worthwhile alternative way to explore dynamic correlations in the short and long run and assess the choc effects. Secondly, the study would enable us to track the impact of the COVID-19 health crisis on the Saudi stock market.

Dynamic Process Force Simulation Model for Multi-Axis Milling Processes

Process forces are critical in cutting operations, affecting tool integrity and product quality. Milling is characterized by rapid process force fluctuations and unpredictable tool wear, hindering closed-loop control systems in industry, so far. Establishing control strategies require a high developmental effort. A simulation-based framework of the milling process eases the design of novel control strategies. However, this requires a realistic model of the entire system, which is currently lacking. In this work, a dynamic force simulation model for both three- and multi-axis milling is proposed. The results show relative errors of the model between 4.6 % and 10.6 %.

Virtual testing ground mathematical model design and it’s software realization in Simcenter AMESim

The object of the development is a virtual testing ground mathematical model with the road random profile irregularities for conducting simulation tests of vehicle dynamics. The work aim is to create a virtual testing ground mathematical model in the form of 3D-fields of irregularities and its software implementation in the Simcenter AMESim. To create a 3D-polygon model, the well-known theoretical knowledge for modeling various categories irregularities of ground surface are considered, differential equations for modeling profile realizations are compiled, profile realizations are simulated and 3D-fields of irregularities integrated into the Simcenter AMESim environment are created with the help of the obtained implementations. As a work result, a 3D-field random profile road irregularities mathematical model with a modeling technology description was obtained. A universal unit for modeling a virtual testing field with the ability to simulate roads of various irregularities categories was software implemented in the Simcenter AMESim. The created model is universal. It was designed for conducting virtual tests of various vehicles types when driving on various roads types. Due to a simulation modeling of vehicle dynamics when driving through irregularities fields, it becomes possible to measure, compare, control and regulate a large number of different cars parameters. The created block can be included in cars simulation models of any complexity level realized in Simcenter AMESim to conduct virtual tests of vehicle dynamics in conditions close to reality. Keywords mathematical model, virtual testing ground, unevenness 3D-field, random road profile, Simcenter AMESim

Analysis of trends and forecasting of tuberculosis mortality at the regional level

The aim of the study was to analyse trends and forecasting of tuberculosis mortality at the regional level by use of mathematical methods: linear regression and model based on artificial intelligence machine learning and to compare the results of accuracy of prognosis. The analysis of the constructed trends showed that in the Sverdlovsk region over the past 10 years there has been a stable statistically reliable trend towards a decrease in the mortality rate from tuberculosis with an average rate of decrease of -10.5% per year. As of the end of 2022, in the Sverdlovsk region, the studied indicator decreased by 66.9% compared to the baseline level of 2012.The forecast using regression allowed us to obtain values of indicators close enough to the actual ones, however, it is linear and overly optimistic, assuming zero mortality from infection in the coming years, which cannot be reliable due to the sufficient number of tuberculosis patients whose probability of death is not zero. A dynamic simulation model based on machine learning is a more complex and subtle forecasting tool that takes into account many factors, allows you to obtain relevant values of predicted indicators, but it requires increased accuracy which can be achieved by additional training, which will require search for additional factors affecting tuberculosis mortality.

Simulation of fire dynamics in parking lot taking into account the analysis of spatial heat flux distribution

The article considers static data on car fires, including those in closed parking lots. Using the Fire Dynamics Simulator model in the Fenix + 3 program, the dynamics of heat flow in space and time was simulated to determine the possible situation at such facilities. Keywords closed parking lot, automobile fires, modeling, heat flow

Simulating and predicting the development trends of the water–energy–food–ecology system in Henan Province, China

The intricate interplay among water, energy, food, and ecology underscores the paramount importance of investigating water–energy–food–ecology (WEFE) systems to foster regional sustainable development. In this study, a dynamic simulation model for the WEFE system was formulated using system dynamics, probing alterations in resource supply, demand dynamics, and ecosystem responses to resource shifts. Utilizing Henan Province as a case study and factoring in resource scarcity and environmental pollution, five scenarios were crafted to forecast WEFE system developmental trajectories from 2005 to 2035. The findings revealed the following key insights: (1) Within each subsystem, the food supply–demand balance ratio maintained a robust level of approximately 4.0. Conversely, the water and energy supply–demand balance ratio remained below 1.0 throughout the study period, indicating a worsening trend in the annual misalignment between supply and demand. Carbon dioxide (CO2) emissions are projected to surge by 103%, posing challenges for future CO2 emission reduction efforts. (2) Among the various scenarios, the Green Development (GD) scenario emerged as pivotal for fostering a coordinated development of the WEFE system. Implementation of the GD scenario showcased a notable 38.1% improvement in the resource supply–demand ratio and a 26% reduction in CO2 emissions. (3) Addressing ecosystem feedback, the reduction of carbon emissions emerges as a focal point for future ecological environment enhancement initiatives in Henan Province. Strategic emphasis should be placed on adjusting energy consumption and its structure to propel the healthy development of the ecological environment. This study serves as a guide for managing regional WEFE systems effectively.

An intelligent spraying system for weeds in wheat fields based on a dynamic model of droplets impacting wheat leaves.

Targeted herbicide application refers to precise application of herbicides in weed-infested areas according to the location and density of farmland weeds. At present, targeted herbicide application in wheat fields generally faces problems including the low herbicide adhesion rate, leading to omission and excessive loss of herbicides. To solve these problems, changes in the impact force of herbicide and the weed leaves in the operation process of a spraying system were studied from the interaction between weeds and herbicides applied. A dynamic model of weed leaves was established. On this basis, the research indicated that the herbicide adhesion rate is highest under spraying pressure of 0.4 MPa and flow rate of 0.011 kg/s when the spray height is 300 mm. To study the dynamic deformation of weed leaves and the distribution of liquid herbicides in the external flow field under weed-herbicide interaction, a dynamic simulation model of herbicide application was built using the finite element method. The results show that when the spray height is 300 mm, the maximum weed leaf deformation index (LDI) is 0.43 and the velocity in the external flow field is 0 m/s under spraying pressure of 0.4 MPa and flow rate of 0.011 kg/s. This finding indicates that the herbicide is not splashed elsewhere and the turbulence intensity in the weed area is 2%, implying steady flow of the herbicide, most of which can be retained on weed leaves. Field test results of application quality of the herbicide show that the maximum LDI is 0.41 and the coverage of the herbicide in the sheltered area below the leaves is 19.02% when the spraying pressure is 0.4 MPa, flow rate is 0.011 kg/s, and spray height is 300 mm. This solves the problem of a low rate of utilization of herbicides because the herbicide passes through weed plants, and achieves the precision herbicide application in wheat fields.

Study on the dynamic characteristics of planetary gear transmission mechanism of metal cold rolling mill

Using the parametric modelling feature in Solidworks software, a three-dimensional solid model of a planetary gearbox with linear reciprocating motion of the output shaft was constructed. By conducting theoretical calculations related to the kinematics of the transmission system and combining Adams virtual prototyping simulation technology, a dynamic simulation model of the planetary gear transmission mechanism was established to analyse the motion laws and dynamic characteristics. The simulation results were compared and analysed against the theoretical calculation results, and they showed good agreement and consistency. The study also investigated the impact of counterweights on the inertia forces and moments of the output shaft in the transmission mechanism. The results indicated that adding counterweights effectively reduced the inertia impact caused by inertia forces at the start and end positions of the stroke, as well as the inertia torque caused by changes in angular acceleration during the startup and stopping phases, thereby enhancing the smooth operation of the mechanism. Additionally, different thicknesses of counterweights had varying effects on balancing the inertia forces and moments of the output shaft. The study aimed to find the optimal thickness of counterweights to achieve the best balance effect. Furthermore, the study examined the influence of different speeds of the driving gear on the inertia forces of the output shaft. The results showed that at a driving gear speed of 1500 rpm, the horizontal thrust generated by the output shaft was 63566 N, which could provide the required thrust for the rolling mill operation, and the inertia forces of the output shaft tended to stabilize.

Simulations in Development of Nonlinear Control for a Solar Thermal Power Plant

This paper focuses on the utilization of dynamic simulation models in the planning of experiments for control development. A set of models based on the first principles for system level simulation of the complete new TCP-100 research facility at Plataforma Solar de Almería (CIEMAT) was planned for the development of control solutions for this new research facility which replaced the 32-year-old ACUREX facility. Many advances in Automatic Control have been reached by using the ACUREX field. Simulation experiments with the parabolic trough (PTC) field would require more tuning and adaptive parts before getting the required experimental data for typical operating conditions. The analysis operates for all state variables, which are temperatures, and input variables, which include solar radiation, ambient temperature and several setpoints. The nonlinear scaling approach keeps the algorithms unchanged by focusing on the meanings of the measured variables. The scaling functions are variable specifIc. For the irradiation, the functions do not change which means that also the indicator of the cloudiness remains the same. The algorithms are not changed and the data analysis is for a limited set of measurements and subsystems. The simulation experiments need to be first focused on the loops and modules of the solar field and the full model need to be extended before going to the full simulation tests and the test campaigns with the new facility.

Morphological Investigation of Lamellae Patterns in Diblock Copolymers under Change of Thickness and Confinement in Polar Geometry

Mathematicians collaborate computationally with practical scientists to predict the novel morphologies soft materials, having potential applications in nanotechnology. This work presents the novel lamellae morphology that the confined diblock copolymer system displayed inside the polar geometry in order to achieve this, cell dynamics simulations (CDS) model is employed on a polar mesh to study the special impacts of confinement on the self-assembly behavior of diblock copolymer systems. Under the numerical formulation of the isotropic Laplacian with polar geometry employed in the CDS model, the set of 9-point stencil is considered to discretize the Laplacian operator on polar mesh system. FTCS finite difference mechanism is taken into consideration for discretization of Laplacian operator due to its computational efficiency and accuracy. Cell dynamics simulation is efficient simulation model for large-scale simulation as compared to the other models available in literature. In the simulation, evolutionary lamella morphology is presented with and without confinement for various sizes of the circular annular pores. A comparative review of lamella morphologies achieved by simulation in comparison of experimental study is presented, coupled with a thorough investigation of symmetric and asymmetric morphologies in captivity.