Development Of Simulation Software Research Articles

Development of Methodologies and Software for Design, Simulation and Optimization of Oil Hydraulic Cylinders of Large Dimensions and Power

As part of the research carried out in the field of processing systems and the production process of oil-hydraulic cylinders of large dimensions and power, the specifics of fluid power transmission, in the functioning of hydropower facilities, were analyzed. The research also includes the optimization of the physical–mathematical model of non-stationary processes, which take place inside the chamber of a large hydrocylinder. In parallel with the definition of the optimization model, the work parameters that affect the process of fluid flow and piston movement were determined. The operating and technological construction parameters of the hydraulic cylinder, which most significantly affect the operation of the hydraulic cylinder, were defined, and the observed parameters were optimized, based on which a prototype with improved characteristics compared to existing solutions was realized.

Towards digital twin trains: implementing a cloud-based framework for railway vehicle dynamics simulation

ABSTRACT The digital twin technology holds great promise in driving the railway industry into a new era of digital intelligence. By creating a dynamic, personalized digital replica of a physical train, it has the potential to enable a range of advanced applications, including predictive maintenance, adaptive control, and early fault detection. However, substantial challenges exist that hinder the effective implementation of the digital twin concept for trains. To resolve this bottleneck issue, in this paper, these challenges are first identified and thoroughly examined, with a specific focus on those within the realm of railway vehicle dynamics simulation. A novel cloud-based simulation framework for the development of railway vehicle dynamics simulation software is then proposed to tackle the identified challenges. The framework makes use of cloud computing and cloud-based visualization technology to offer a scalable and flexible solution for railway vehicle dynamics simulation. Using the framework as its foundation, a cloud platform for constructing digital twin trains is also proposed and presented, with a detailed explanation of its architecture and functionalities. In addition, CTTSIM, a cloud computing-aided train-track system dynamics real-time simulation software, is developed as an illustrative application case of the proposed framework. An evaluation is undertaken to demonstrate the feasibility and utility of both CTTSIM and the proposed framework. This work provides a practical and effective solution for using vehicle dynamics simulation for constructing digital twin trains, representing a step towards the full implementation of the digital twin concept in the railway industry.

Readsynth: short-read simulation for consideration of composition-biases in reduced metagenome sequencing approaches

BackgroundThe application of reduced metagenomic sequencing approaches holds promise as a middle ground between targeted amplicon sequencing and whole metagenome sequencing approaches but has not been widely adopted as a technique. A major barrier to adoption is the lack of read simulation software built to handle characteristic features of these novel approaches. Reduced metagenomic sequencing (RMS) produces unique patterns of fragmentation per genome that are sensitive to restriction enzyme choice, and the non-uniform size selection of these fragments may introduce novel challenges to taxonomic assignment as well as relative abundance estimates.ResultsThrough the development and application of simulation software, readsynth, we compare simulated metagenomic sequencing libraries with existing RMS data to assess the influence of multiple library preparation and sequencing steps on downstream analytical results. Based on read depth per position, readsynth achieved 0.79 Pearson’s correlation and 0.94 Spearman’s correlation to these benchmarks. Application of a novel estimation approach, fixed length taxonomic ratios, improved quantification accuracy of simulated human gut microbial communities when compared to estimates of mean or median coverage.ConclusionsWe investigate the possible strengths and weaknesses of applying the RMS technique to profiling microbial communities via simulations with readsynth. The choice of restriction enzymes and size selection steps in library prep are non-trivial decisions that bias downstream profiling and quantification. The simulations investigated in this study illustrate the possible limits of preparing metagenomic libraries with a reduced representation sequencing approach, but also allow for the development of strategies for producing and handling the sequence data produced by this promising application.

WaLBerla‐wind: A lattice‐Boltzmann‐based high‐performance flow solver for wind energy applications

SummaryThis article presents the development of a new wind turbine simulation software to study wake flow physics. To this end, the design and development of waLBerla‐wind, a new simulator based on the lattice‐Boltzmann method that is known for its excellent performance and scaling properties, will be presented. Here it will be used for large eddy simulations (LES) coupled with actuator wind turbine models. Due to its modular software design, waLBerla‐wind is flexible and extensible with regard to turbine configurations. Additionally it is performance portable across different hardware architectures, another critical design goal. The new solver is validated by presenting force distributions and velocity profiles and comparing them with experimental data and a vortex solver. Furthermore, waLBerla‐wind's performance is compared to a theoretical peak performance, and analyzed with weak and strong scaling benchmarks on CPU and GPU systems. This analysis demonstrates the suitability for large‐scale applications and future cost‐effective full wind farm simulations.

NUMERICAL MODELING FOR DEFORMATION ANALYSIS OF A CANTILEVER BEAM

The tireless quest for better living conditions makes people use technological resources as manners to balance a work/economy/safety relationship. Those technological resources have been applied more frequently in engineering. This is due to development of simulation software in order to provide greater economic viability in engineering projects. The considerable growth in the infrastructure market, further promoted the application of beams in projects, linked to this is the concern with the deformations that are caused to them. In this sense, the deformation suffered by a beam was evaluated via structure analysis using the ANSYS Mechanical software. The beam is at one extremity and supported by fixed support at the other extremity. To obtain the values of deformations a beam was developed in ANSYS, and after, the deformation was found through finite element methods. To verify the methodology effectiveness proposed in this study the numerical results were compared to data obtained in the tests and theoretical calculations. Through the values obtained, it was concluded that the values obtained in the simulation present deformations very similar to the tests and the theoretical calculation.

Development of artificial Earth satellite simulation software for future radio telescopes in Indonesia

"In the near future, four radio telescopes will be installed in Indonesia. Besides the astronomical purposes, these telescopes are expected to support the ground station for tracking the Artificial Earth Satellites (AES). In this study, we focus on the development of AES simulation software, named AESSIMS, that can be used to aid Indonesian radio telescope engineers in tracking the AES. This software is interactive and web-based. It can track the AES position in real time as well as predict the position for the near future. This software provides information about when a satellite signal can be acquired and lost, which can be beneficial for radio telescopes to establish communication with the satellite. We visualize the use of this software by conducting a simulation of satellite tracking by Indonesian future radio telescopes. Three Indonesian satellites named LAPAN-A1/TUBSAT, LAPAN-A2/ORARI, and LAPAN-A3/IPB are considered in the simulation. This study demonstrates that AESSIMS simulation results for Indonesian satellites and radio telescopes are consistent with the results obtained from already existing satellite tracking simulation software."

Development of a dynamic demand response quantification and control framework for fan-coil air-conditioning systems based on prediction models

The air-conditioning demand response has gradually become an effective approach to reduce peak load of the national grid. However, with the increasing penetration of renewable energy generation sources, static performance evaluation of demand response that only fits one certain scenario cannot meet the demandsofthe times. To address this issue, a novel dynamic demand response quantification and control framework was built based on the secondary development of building energy simulation software and multilayer perceptron algorithm. In this framework, the demand response evaluation method can be used for different global temperature adjustment strategies under different external disturbances and internal loads, and the dynamic demand response control method could be further adopted for load reduction prediction and setpoint adjustment recommendation. The performance prediction model based on artificial neural network can predict the maximum load shedding during demand response period with an average absolute percentage error of 15 %, and the prediction error of load shedding intensity is ± 1 W/m2 for over 80 % of samples. Besides, the setpoint adjustment prediction model achieved an average absolute percentage error of 3 % while its prediction error is ± 0.25 °C for over 99 % of samples. The results prove that this research can provide reasonable suggestions for customers and load aggregators to achieve accurate control of setpoint adjustment in dynamic demand response conditions.

Development of NC Program Simulation Software Based on AutoCAD Swarm Optimization Algorithm

Development of NC Program Simulation Software Based on AutoCAD Swarm Optimization Algorithm

Revealing bulk metallic glass crystallization kinetics during laser powder bed fusion by a combination of experimental and numerical methods

Laser powder bed fusion (PBF-LB/M) has been used to fabricate bulk metallic glass (BMG) parts. However, there is still a lack of understanding about the crystallization behavior of BMGs during PBF-LB/M. This article aims to combine experimental and numerical methods to gain a more comprehensive understanding of the BMG crystallization kinetics during PBF-LB/M. The material used in this work is an industrial-grade BMG commercially known as AMZ4 (Zr59.3Cu28.8Al10.4Nb1.5, at.%). The samples prepared by PBF-LB/M were characterized by optical microscopy, scanning electron microscopy, and nanoindentation. Simulations were performed using our in-house developed software with setups mimicking the PBF-LB/M experiment. The experimental and numerical results are compared and discussed in detail. The most important finding is that BMG crystallization in PBF-LB/M is a very localized phenomenon, mainly caused by short-range in situ heat treatment. Here, short-range in-situ heat treatment refers to concomitant heat treatment that occurs during the processing of the current melt line, very few subsequent melt lines, and very few subsequent layers. This work provides insight into the BMG crystallization phenomenon that occurs during PBF-LB/M processing, especially its underlying crystallization kinetics. Furthermore, this work demonstrates the usefulness of our in-house developed simulation software in guiding PBF-LB/M process development for BMGs and BMG composites.

Streamlining utilisation of the assembly line using computer simulation

The increase in computer computing power and the development of simulation software make it possible to realise very accurate predictions of the impact of decisions on systems. The cost of investments in streamlining logistics and manufacturing systems is usually high. Therefore, verifying whether the implemented improvement will have a real intended impact on the system is necessary. The use of simulation helps reduce the risk of uncertainty in such projects. The article describes the simulation performed in the software Tecnomatix Plant Simulation 15.2 and their use in its described methodology for simulation study with achieved results. The study was carried out to streamline manual assembly in a company engaged in the production of car seats, namely car rear seats and their manipulation processes. The simulation itself was supposed to answer the question of whether it is possible to produce faster customer line tact and whether it is possible to reduce the number of workers without influencing line performance. The very design of the content and number of simulation experiments was realised in two main aspects. These aspects are whether changing the organisation of the workplace will bring the desired effect and whether the installation of new equipment can improve performance even more. The resulting solution helped reduce the investment uncertainty and estimated that the best two solutions would increase the assembly line performance by 0.94% or 6.89%, respectively.

State of Bicycle Modeling in SUMO

Microscopic traffic simulation tools provide ever-increasing value in the design and implementation of motor vehicle transport systems. Research and development of automated and intelligent technologies have highlighted the usefulness of simulation tools and development efforts have accelerated in recent years. However, the majority of traffic simulation software is developed with a focus on motor vehicle traffic and has limited capabilities in the simulation of bicycles and other micro-mobility modes. Bicycles, e-bikes and cargo bikes represent a non-negligible modal share in many urban areas and their impact on the operation, efficiency and safety of traffic systems must be considered in any comprehensive study. The Differentiation between different types of micro-mobility modes, including microcars, e-kick scooters, different types of bicycles and other personal mobility devices, has not yet attracted enough attention in the development of simulation software which creates difficulties in including these modes in simulation-based studies. On November 25th, 2022, members of the SUMO team at DLR organized a workshop to assess the state of bicycle simulation in SUMO, identify shortcomings and missing capabilities and prioritize the order in which bicycle traffic related features should be modified or implemented in the future. In this paper, different aspects of simulating bicycle traffic in SUMO are examined and an overview of the results of the workshop discussions is given. Some suggestions for the future development of SUMO emerging from this workshop, are presented as a conclusion.

ENHANCING ONLINE PRACTICAL COURSES IN MECHANICAL ENGINEERING: DEVELOPMENT AND ANALYSIS OF INNOVATIVE METHODS

This research paper introduces three innovative approaches for delivering online practical courses in the field of mechanical engineering. With the increasing popularity of eLearning platforms, educators have been encouraged to adapt their teaching methods accordingly. However, teaching practical mechanical engineering courses online has posed significant challenges due to the reliance on machinery and hands-on equipment. This study represents a pioneering effort in proposing new methods to address these difficulties. The primary goals of this research are to establish the feasibility of conducting practical courses online and to provide solutions for enhancing the quality of such courses. To achieve these objectives, the study focuses on the development, application, and analysis of pedagogical approaches, virtual tools, and simulation software. The research was carried out with three student groups enrolled in two Tunisian Higher Institutes of Technological Studies. Based on the evaluations of these experiences, the implementation of new methodologies has led to a significant improvement in students' practical skills.

Model of Twin Automatic Stacking Crane Operation Strategy with Dynamic Handshake Area in an Automated Container Terminal

This paper proposes a new idea for allocating a handshake area of an automated container yard. A block of automated container yards (CY) consists of two areas, which are the import (waterside) and export (landside) areas. The CY has two major activities (loading and unloading), where both are served by Twin Automatic Stacking Cranes (Twin-ASCs). A handshake area in the middle of the CY serves as a temporary slot for both ASCs. This situation causes an imbalance between the ASCs when the demands of each side differ significantly. Thus, we proposed using a dynamic location of the handshake area corresponding to the proportion demand of export and import containers. We developed a heuristics model and algorithms of ASC’s operations to compare the efficiency of the ASC operations between the fixed and the dynamic location. Based on our model and algorithm, we developed simulation software. Finally, we explored some numerical experiments to compare the performance of both policies in dealing with different export and import demand scenarios. Our result showed that the proposed approach outperformed the existing one in reducing unnecessary ASC movements.

Development of model-based simulation and optimization software for electron beam melting and refining

In this paper the development of a software for electron beam melting and refining (EBMR) of different materials is presented. It has the following functional characteristics: simulation of the temperature distributions in the cast ingots, investigation and optimization of the form of the liquid pool during the process of EBMR and estimation of the inclusion refining rates, depending on the EBMR process parameters. The temperature distributions in the cast ingots are simulated by the implementation of quasi steady-state two-dimensional heat model and three-dimensional time-dependent thermal model for different refined metals. Empirical models are estimated, integrated in the developed software and used for the investigation of the molten pool geometry parameters, the content of impurities after the electron beam refining process, refining rate, overall inclusion removal efficiency and the material losses. The influence of EBMR process parameters such as electron beam power, casting velocity, refining time, and electron beam radius are considered. Multicriterial optimization software functions can be implemented for solving concrete technological requirements for each practical use-case.

Software Engineering of Resistive Elements Electrophysical Parameters Simulation in the Process of Laser Trimming

This study continues a series of papers covering the R&D of circuit simulators embedded into manufacturing equipment for the laser trimming of film and foil resistors intended to improve the final product’s performance and reduce process costs. Our paper describes the development of the ResModel laser trimming simulation software. Various types of trims and their features are presented for a circuit with a dynamic measurement DC source, and the optimal trim configurations are identified. The software can be used to estimate and display resistive element properties during the trimming such as its electrophysical parameters and their trends.

Development of simulator software on the topic "Normal algorithms" of the distance learning course "Theory of Algorithms"

The paper describes the design and development of a training simulator in the NetBeans integrated environment in the Java programming language. The simulator program articulates questions of three levels of complexity, methodological recommendations and theoretical issues on the topic. The developed software product is implemented in the corresponding distance learning course on the Moodle platform and is recommended for use in the educational process by applicants in the "Computer Science" specialty.

Numerical simulation analysis for the effect of water content on the intelligent compaction quality of roadbed

<abstract> <p>In the process of intelligent compaction of roadbeds, the water content of the roadbed is one of the important influencing factors of compaction quality. In order to analyze the effect of water content on the compaction quality of roadbeds, this paper is developed by secondary development of Abaqus finite element numerical simulation software. At the same time, the artificial viscous boundary was set to eliminate the influence of boundary conditions on the results in the finite element modeling process, so that the numerical simulation can be refined to model. On this basis, the dynamic response analysis of the roadbed compaction process is performed on the finite element numerical simulation results. This paper established the correlation between compaction degree and intelligent compaction index CMV (Compaction Meter Value) and then analyzed the effect of water content on the compaction quality for the roadbed. The results of this paper show that the amplitude of the vertical acceleration is almost independent of the moisture content, and the vertical displacement mainly occurs in the static compaction stage. The vertical displacement changes sharply in the first 0.5 s when the vibrating wheel is in contact with the roadbed. The main stage of roadbed compaction quality increase is before the end of the first compaction. At the end of the first compaction, the roadbed compaction degree increased rapidly from 80% to 91.68%, 95.34% and 97.41%, respectively. With the increase in water content, the CMV gradually increased. At the end of the second compaction, CMV increased slightly compared with that at the end of the first compaction and stabilized at the end of the second compaction. The water content of the roadbed should be considered to be set slightly higher than the optimal water content of the roadbed by about 1% during the construction of the roadbed within the assumptions of this paper.</p> </abstract>

Development of Virtual Simulation Software “Electronic Book” for Online-Merge-Offline Experimental Teaching: Taking Capillary Electrophoresis Experiment as an Example

Development of Virtual Simulation Software “Electronic Book” for Online-Merge-Offline Experimental Teaching: Taking Capillary Electrophoresis Experiment as an Example

Simulation of texture evolution of TB6 titanium alloy cylindrical parts during spinning

The second development of the finite element simulation software was carried out. The correctness of the UMAT subroutine was verified by comparing the ODFs obtained through EBSD technology and the simulated ODFs of hot compression specimen. The spinning model of TB6 titanium alloy cylindrical parts was established, and the evolution of spinning texture was simulated numerically to study the evolution law of spinning texture under different spinning process parameters. The results show that the thinning rate and spinning temperature greatly influenced the evolution of texture, and the maximum intensity of texture increased with the increase of thinning rate and spinning temperature. Increasing the thinning rate facilitated to the generation and enhancement of R-Cube RD {012}<100> and R-Cube ND {001}<110> texture components. Increasing spinning temperature promoted the transition from Goss {110}<001> texture components to R-Goss ND {110}<110> texture components, while increasing roller feed rate inhibited this trend.

Significant Advancements in Numerical Simulation of Fatigue Behavior in Metal Additive Manufacturing-Review

The concept of “Industry 4.0” encourages the use of automated manufacturing processes and the use of advanced technological systems. Some of the most fundamental needs of the Fourth Industrial Revolution can only be met with the help of additive manufacturing. However, the mechanical behavior and reliability of additive-manufactured components are hardly recognized. This paper provides a systematic review of metal additive manufacturing technologies, materials, lattice structures, and fatigue properties as well as the development of numerical simulations. The current state of development in metal alloys and the optimization of cellular structures were presented. In addition, this paper discussed the main challenges in numerical simulation methods, their validation with experimental results, and the limitations of commercial software used. Overall, this paper provides an overview of metal additive manufacturing as well as a survey of its simulation software development to optimize several parameters in industrial and academic research fields. The results were critically analyzed and provided a benchmark for future research and development.