Relevant bibliographies by topics / Matlab m.file

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Academic literature on the topic 'Matlab m.file'

Author: Grafiati
Published: 4 June 2025
Last updated: 6 July 2025

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Journal articles on the topic "Matlab m.file"

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Zainul Arifin and Muhammad Irwanti. "PENGARUH KEMAMPUAN MEMBUAT SIMULASI BERBASIS M-FILE TERHADAP KEMAMPUAN MEMBUAT SIMULASI GUI PADA PROGRAM MATLAB." An-Nahdlah: Jurnal Pendidikan Islam 1, no. 1 (2021): 38–43. http://dx.doi.org/10.51806/an-nahdlah.v1i1.12.

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Penelitian ini bertujuan untuk mengetahui adanya pengaruh kemampuan membuat simulasi berbasis M-file terhadap kemampuan membuat simulasi berbasis GUI (Grafical User Interface) Pada Program MATLAB di Program Studi Tadris Matematika Semester IV Tahun Pelajaran 2018/2019. Adapun analisis data, penelitian menggunakan analisis regresi linier sederhana dengan bantuan Software MINITAB untuk mengetahui ada atau tidaknya pengaruh antar variabel. Berdasarkan hasil analisis, diperoleh nilai rhitung = 20.80. Nilai ini selanjutnya dibandingkan dengan nilai rtabel dengan taraf signifikansi 5% dan diperoleh rtabel =4,10. Dari hal tersebut, diperoleh bahwa rhitung > rtabel. Hasil kemampuan simulasi M-file terdapat 10 orang mahasiswa yang kemampuan membuat simulasi M-file dalam katagori tinggi dengan presentase sebesar 27%, 27 orang mahasiswa memiliki kemampuan berbasis M-file dalam kategori sedang dengan presentase 73% dan tidak ada memiliki kemampuan rendah. Kemampuan membuat simulasi berbasis GUI terdapat 8 orang mahasiswa memiliki Hasil kemampuan berbasis GUI dalam kategori tinggi dengan presentase sebesar 22%, 29 orang mahasiswa memiliki Hasil kemampuan berbasis GUI dalam kategori sedang dengan presentase sebesar 78% dan tidak ada mahasiswa yang memiliki kemampuan berbasis GUI dalam kategori rendah. Sehingga dari hasil ini menunjukkan Ada Pengaruh Kemampuan Mahasiswa Membuat Simulasi Berbasis M-File Terhadap Kemampuan Membuat Simulasi Berbasis GUI Pada Program MATLAB
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Ding, Guo Bao, Hai Feng Xu, Cheng Yao, and Fei Gao. "Program Design Based on Communicate by PSPICE and MATLAB." Applied Mechanics and Materials 635-637 (September 2014): 1098–100. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1098.

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The Pspice which is a simulation circuit simulation software is powerful, but the graphics are still defects, and MATLAB can make up for the shortcomings. In this paper, on the basis of analyzing the characteristics of the Pspice software output file created in the MATLAB M file, the method based on multi-resolution analysis to extract the fault feature, can solve the problem of the data transmission between the two, and example verification.
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Ragan, Joseph, and Dan B. Marghitu. "Impact of a Kinematic Link with MATLAB and SolidWorks." Applied Mechanics and Materials 430 (September 2013): 170–77. http://dx.doi.org/10.4028/www.scientific.net/amm.430.170.

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The elastic impact of a free kinematic link with a surface is studied using MATLAB and SolidWorks. The differential equations of motion are developed using an elastic nonlinear contact force and a frictional force. The nonlinear equations of motion are written in an external m-file and are solved using numerical techniques. The results are checked using a simulation in SolidWorks. For the SolidWorks simulation a specific force is defined for the the elastic impact. The numerical results are obtained with the two methods are compared. The vertical elastic displacement during impact has lower values less for the frictional case.
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Raffo Lecca, Eduardo, and Edgar Ruiz Lizama. "La geometría del método Simplex y sus aplicaciones utilizando Matlab®." Industrial Data 10, no. 2 (2014): 073. http://dx.doi.org/10.15381/idata.v10i2.6449.

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El artículo revisa los conceptos de la geometría computacional aplicados al método simplex utilizando MATLAB®. Dado un modelo de programación lineal o PL, una solución factible es un vector que especifica un valor para cada variable en el problema, el cual sustituyéndolo satisface todas las restricciones; incluidas las de signo. El trabajo revisa los conceptos de la geometría computacional, el método simplex y presenta la manera de aplicar la forma gráfica a un problema PL. Se incluye archivos M-File(de MATLAB, versión 7.0). Finalmente se discuten dos casos de aplicación de un problema PL.
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Bhat, Vinayambika S., I. Thirunavukkarasu, S. Shanmuga Priya, and C. Shreesha. "Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System." MATEC Web of Conferences 153 (2018): 06010. http://dx.doi.org/10.1051/matecconf/201815306010.

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This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.
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Ermakov, S. G., A. V. Zabrodin, A. V. Krasnovidov, and A. D. Homonenko. "INTERACTION SIMULINK-MODELS OF COMPLEX AND INTELLIGENT SYSTEMS WITH PROGRAMS IN HIGH-LEVEL LANGUAGES." T-Comm 16, no. 12 (2022): 23–31. http://dx.doi.org/10.36724/2072-8735-2022-16-12-23-31.

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The MatLab package and its extension in the form of Simulink block modeling system form a visual and effective tool for modeling complex and intelligent systems. This bundle provides one of the most effective ways to reduce the time to determine optimal parameters of control actions in the simulation. A further increase in the efficiency of modeling complex and intelligent systems can be achieved through the use of high-level programming languages. The purpose of the study is to consider the methods of interaction between MatLab and Simulink with programs in high-level languages C and C++. to improve the efficiency of the modeling process. Methods and means. Interaction between the MatLab and Simulink packages is implemented using the following methods: executing a file from the S-model window, as well as by launching the S-model from the MatLab command line or from an m-file, followed by processing the simulation results using MatLab software and C or C programming languages ++. Results. A practical implementation of the interaction of these tools (Matlab + Simulink + high-level programming languages C or C++) has been completed. Practical significance. Software implementations for creating S-functions of levels 1 and 2 are presented with a demonstration of the results of work and the implementation of S-functions in a high-level language is considered. The proposed organization of the interaction between MatLab, Simulink and C or C++ languages makes it possible to increase the system simulation efficiency.
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Špánik, Pavol, Michal Frivaldský, Jozef Čuntala, Peter Drgoňa, and Anna Simonová. "MATLAB - m-file based computation algorithm for determination of temperature distribution of electronic system." IFAC Proceedings Volumes 45, no. 7 (2012): 119–23. http://dx.doi.org/10.3182/20120523-3-cz-3015.00025.

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Bi, Ying Hua, En Yuan Dong, Guang Xiao Yin, Jia Yuan Xu, and Mei Wei Liu. "Parameter Design and Dynamic Characteristic Analysis of Magnetic Force Actuator Based on Visual Basic Interface Programming." Applied Mechanics and Materials 492 (January 2014): 227–31. http://dx.doi.org/10.4028/www.scientific.net/amm.492.227.

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In this paper, the magnetic force actuator (MFA), a new type of actuator, is applied for long stroke driving with simple structure and high reliability. Ansys and Matlab are adopted to study its static and dynamic characteristics and conduct parameter design. The static simulation concludes static magnetic field, end shield material, structure size of permanent magnet and processing deviation of the actuator, which will impact the characteristics of the actuator in varying degrees. Then the state equations describing the dynamic characteristics of MFA are solved by four-order Runge-kutta method and finite-element method. Interactive interface of the APDL-file and M-file and Macrosoft Visual Basic (VB) is designed to combine Ansys and Matlab to realize optimization design of structure parameters, which simplifies the operation methods and enhances the efficiency. The dynamic simulation results show its good work performance compared with the experiment characteristics of practical 40.5kV SF6 circuit breaker with the spring mechanism.
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Wang, Ling, Hu Ping An, Fu Yan Qi, and Tian Xing Yang. "Research on Mechanical Balance of the Beam-Pumper." Advanced Materials Research 706-708 (June 2013): 1529–32. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1529.

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The detailed analysis of mechanical balance based on beam-pumper is put forward to reduce the motor power, and save consumption. It has discussed something about the analysis of the crack balance, the walking beam balance and the composite balance. Finally, MATLAB M-file editor are used to compile the applications. The simulation results show that the program of the optimal mechanical balance method is feasible.
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Mutarraf, Umair, Kamel Barkaoui, Zhiwu Li, Naiqi Wu, and Ting Qu. "Transformation of Business Process Model and Notation models onto Petri nets and their analysis." Advances in Mechanical Engineering 10, no. 12 (2018): 168781401880817. http://dx.doi.org/10.1177/1687814018808170.

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Business Process Model and Notation is known as a widely used standard for business processes modeling. However, its main drawback is that it lacks formal semantics, leading to some undesirable properties, such as livelocks and deadlocks, such that it creates models with semantic errors. In order to formally verify them, we need to transform it onto a formal language, for example, Petri nets. The approach proposed in this article is an extension of previous approaches stated in the literature by adding probability to gateways and time to transitions. The first aim is to transform the Business Process Model and Notation process diagram onto Petri nets automatically using a developed software package. The developed software package is capable of transforming the XML file of a Business Process Model and Notation process diagram into “m” files of a Petri net. The “m” files of the Petri net are then coupled with the General Purpose Petri Net Simulator (GPenSIM) for analysis in MATLAB. The second aim is to manually transform the Business Process Model and Notation process diagram using mapping figures onto Petri nets and then analyze it using Timed Petri Net Analyzer tools. The advantage of transforming a Business Process Model and Notation diagram automatically is that we can add time to transitions and probability to gateways. Furthermore, the simulation time can be checked using MATLAB.
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Book chapters on the topic "Matlab m.file"

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López, César Pérez. "MATLAB Language: M-Files, Scripts, Flow Control and Numerical Analysis Functions." In MATLAB Programming for Numerical Analysis. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0295-1_4.

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"Advanced M-file Features." In MATLAB Primer. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9781420034950-12.

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"Advanced M-file Features." In MATLAB Primer, Eighth Edition. CRC Press, 2010. http://dx.doi.org/10.1201/9781439828632-11.

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"Example 4.7 MATLAB m-file." In Power Electronic System Design. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-323-88542-3.00042-x.

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"Appendix D: MATLAB Built-In M-File Functions." In Applied Numerical Methods Using MATLAB. De Gruyter, 2023. http://dx.doi.org/10.1515/9781683928676-018.

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"M-files." In MATLAB Primer. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9781420034950-11.

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"Matlab M-Files." In Analytical Mechanics Of Space Systems. American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/5.9781600861550.0689.0692.

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"7. M-Files." In Matlab Guide. Society for Industrial and Applied Mathematics, 2005. http://dx.doi.org/10.1137/1.9780898717891.ch7.

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"M-Files." In MATLAB Primer, Eighth Edition. CRC Press, 2010. http://dx.doi.org/10.1201/9781439828632-7.

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"16. Further M-Files." In Matlab Guide. Society for Industrial and Applied Mathematics, 2005. http://dx.doi.org/10.1137/1.9780898717891.ch16.

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Conference papers on the topic "Matlab m.file"

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Uran, Suzana, and Karel Jezernik. "MATLAB Web Server and M-file Application." In 2006 12th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/epepemc.2006.283169.

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Uran, S., and K. Jezernik. "MATLAB Web Server and M-file Application." In 2006 12th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/epepemc.2006.4778715.

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Georgiev, Tsvetozar, Georgi Krastev, and Elitsa Ibryamova. "VIRTUAL LABORATORY FOR TRAINING IN THE FIELD OF DIGITAL SIGNAL PROCESSING." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-098.

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Modern training in digital signal processing requires specialized laboratories with proper equipment. The construction and maintenance of such laboratories is practically difficult task. There is need of expensive equipment and the ability to flexibly configurable different devices. Consumers should be able to build different systems and to have full control over the devices. From this perspective, the traditional laboratories built with a fixed number of devices with limited options and certain software does not provide the necessary training flexibility. However, before conducting practical classes and research, students need to build relevant experimental arrangement. This requires time and, on the other hand, erroneous connections are possible, which can lead to equipment damage. Proposed solutions for virtual labs focus on reducing the cost of equipment. This report presents an approach to building a virtual laboratory for digital signal processing based on MATLAB and input-output module NI USB-6008, as well as specialized software that provides user interface and system performance in real time. The NI USB-6008 module provides ample opportunities. Using suitable control program developed in the software environments like Microsoft Visual Studio, MATLAB, LabVIEW, etc. the values of input signals can be read and output values can be set. NI USB-6008 is one of the data acquisition devices that are supported by MATLAB Data Acquisition Toolbox. It is used to create a link between MATLAB and NI USB-6008. The operation of the real time data acquisition system using MATLAB can be realized as M-file, as a scheme in SIMULINK, operating in real time using the Real-Time Workshop or as a self-executable application, compiled with MATLAB Compiler (MCC). The first method is suitable for large sampling time rates, because the time for single execution of control programs in small rates can't be considered negligible compared to the time rate. Therefore, the management programs are implemented as executable files generated by MCC. The main advantage of such applications is that they operate fully autonomously. The proposed approach of virtual laboratory combines advantages of the traditional physical laboratories as well as those based on virtual platforms.
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Ashinze, A. S., A. T. Adeniyi, and A. Giwa. "Modelling and Simulation of Natural Gas Condensate Production Using Artificial Neural Network." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217143-ms.

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Abstract Natural gas condensates are hydrocarbon liquid streams separated from natural gas when it is cooled to temperatures within the upper and lower limits of the hydrocarbon dewpoint curve at a definite pressure in a cryogenic gas plant. They find useful applications in the petroleum and petrochemical industry for production of high octane-petrol, jet, diesel and boiler fuels as well as in production of aromatics, olefins and other monomers used in the production of plastics, synthetic rubbers, resins and fibers. This research paper focused on modelling the process involved in obtaining natural gas condensates from raw natural gas in a cryogenic plant. Stationary-state process data were obtained from a natural gas processing facility in southern Nigeria. The data were pre-processed, five inputs and three output variables were then carefully chosen and arranged in cell arrays in Microsoft Excel before being incorporated into a written MATLAB m-file script, which was ran to generate time-series input-output datasets in Microsoft Excel via a developed Simulink transfer function model. The generated chaotic time series dataset was then fed into the neural network graphical user interface of MATLAB R2021a software and optimized using Levenberg Marquardt, Bayelsian regularization and conjugate gradient algorithms respectively to develop neural network models that represented the production process. Two key indices, namely the mean squared error (MSE) and regression value were used to evaluate the level of accuracy of the developed neural network models. The results obtained revealed that the neural network models developed could effectively capture the underlying trend in the time-series dataset with the Levenberg-Marguardt optimized-neural network having a faster convergence time of 10 seconds, higher regression value of 0.999 and lower MSE value of 0.0489.
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Turnea, Marius, Calin Corciova, Mihai Ilea, and Mariana Rotariu. "THE MATHEMATICAL MODELLING OF THE MICROBIAL GROWTH PROCESS." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-184.

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The models of microbial system have a history that includes research in various fields of evolution, ecology and more recently optimization algorithms (we refer there especially the mimetic bacterial growth algorithm). The growth of bacteria population in bioreactors is made often using mathematical models as premises for optimization and control. Food webs and microbial food chains are subject of models by differential equations. The tool propose to use the most common representation of the microbial systems, a two layered mechanism as a cascade of two biological reaction where one substrate is the subject of consumer by one microorganism that serves a limiter substrate for the second microorganism. The system modeled by system of differential equations call the Matlab solver for numerical solutions. The user has the possibility to use predefined constants, user-defined constants or optimized ones for stability analysis. A second module that are implemented in the main program deals with more recent approach, the three-layered 'food-web', where a third organism is added to model. The model can test the influence of growth organisms as interaction between multiple species. The user has the possibility to create the system of equation using a Constructor Builder. The parser from this module will translate the text-code in an .m file callable from Matlab as system used be ODE solver. The visualization module display in a GUI (Graphic User Interface) the result of simulation. The tool is useful for understanding and prediction of microbial colony growth but also offer a perspective for future development of additional modules for microbial ecology.
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Pao, Y. C. "On Developing User’s M Files for MATLAB in Engineering Applications." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cie1995-0781.

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Abstract This paper presents a collection of M files created for applications of MATLAB software in graduate and undergraduate engineering classes. Starting with the simple need of printing a difference table, presented in order of increasing difficulty of numerical procedural setup and programming arrangement are M files for volume integration, animation of a rotating block, Runge-Kutta solution of a nonlinear oscillation problem, and solution of a warping function governed by Laplace equation using the relaxation method. Threading through these M files are the demonstrative applications of MATLAB’s own M files and its graphics commands and vector operations.
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Caruntu, Dumitru I., Julio S. Beatriz, and Christian Reyes. "Electrostatically Actuated M/NEMS With Casimir Effect: Primary Resonance — Comparison Between Three Methods." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67218.

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This paper deals with electrostatically actuated micro- and nano-electromechanical systems (M/NEMS) cantilever resonator under electrostatic actuation. The model includes Casimir effect. Three different methods are used to investigate the primary resonance of the MEMS resonator. The first two methods are based on a Galerkin approach in which the initial value and boundary value problem, given by the partial differential equation (PDE) of motion and the initial and boundary conditions, is transformed into an initial value problem of one ordinary differential equation (ODE) or a system of ODEs depending on how many modes of vibrations are considered in the model. The first method used is the Method of Multiple Scales (MMS) which is an approximate analytical method used to solve the model using one mode of vibration. The second method referred to as Reduced Order Model (ROM) solves the model using two to five modes of vibration using numerical integration. The third method is different than the first two in the sense that the initial value and boundary value problem describing the MEMS resonator is transformed into a boundary value problem (BVP) by using finite differences tor time derivatives. For this Matlab built-in function bvp4c is used to solve the problem. This built-in function is used for two different versions of the same equation. One which involves Taylor expansions of the nonlinear terms, and the other which does not. Results between the methods are in agreement. Thus any of these methods can be used to accurately predict the behavior of the MEMS resonator. For the ROM, two equations are also used, one for Casimir and one for without. The influence of damping, Casimir, and voltage parameter are also shown.
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Yue, Cong, Hai-Jun Su, Juan Camilo Alvarez, and Qiaode Jeffrey Ge. "Enabling a High Fidelity Dynamics Simulation of CAD Assemblies in a Virtual Environment for Machine Design." In ASME 2010 World Conference on Innovative Virtual Reality. ASMEDC, 2010. http://dx.doi.org/10.1115/winvr2010-3739.

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This paper presents a software architecture that enables VRMDS (Virtual Reality Mechanism Design Studio) to simulate multi-body dynamics of computer-aided design (CAD) assemblies. VRMDS is a recently developed virtual environment dedicated to the conceptual design of mechanisms and machines. It allows users to build spatial or planar mechanisms through intuitive operations. In this paper, we develop Python’s parsing modules that import CAD assembly models in either XML or MDL format files into VRMDS and visualize them through the use of WRL or OSG geometry files. CAD assembly models consist of parts as well as kinematic constraints among them. These parts and constraints can be translated into links and kinematic joints of mechanisms and machines. The dynamics simulation for the assembly is achieved by MATLAB SimMechanics solver that communicates with VRMDS through a dedicated Pymat interface and M-script files. Finally, two case studies are provided to demonstrate the feasibility and validity of using assembly models in this virtual reality system for mechanism design. The high fidelity of the SimMechanics dynamics solver makes the simulation justified scientifically. The result is a highly integrated virtual reality design environment that is dedicated to both the concept design and virtual prototyping of machines.
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Wang, Pengfei, Huawei Fang, Zhao Wang, Shoujun Yan, Jiashuang Wan, and Fuyu Zhao. "Development of a Fast Simulation Program for AP1000 Reactor With Application of Mechanical Shim (MSHIM) Control Strategy and Nodal Method." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30373.

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The Mechanical Shim (MSHIM) core control strategy makes use of two independently controlled rod groups to provide fine control of both core reactivity and axial power distribution. This paper presents a reactor core fast simulation program (RCFSP) for AP1000 using MATLAB/SIMULINK. A nodal core model including xenon iodine dynamics is used to describe the core thermal power transient with the two group neutron diffusion equation for neutron kinetics modeling and an integral method for thermal-hydraulic calculation. Two closed loop rod controllers with implementation of the MSHIM core control strategy are developed to modulate the insertion of control rods. Based on the developed RCFSP, the MSHIM load follow operations with the original and revised MSHIM control strategies and two typical MSHIM load regulation operations with ten-percent step load change and five-percent per minute ramp load change are simulated. Results of these MSHIM operations demonstrate that the core reactivity and axial power distribution can be well-controlled via automatic rod control only. It has also been demonstrated that the MSHIM capabilities provided by the original MSHIM strategy are not diminished by the revised one. Moreover, the M-bank insertion for the original strategy is much deeper than that for the revised one. Thus, the power distribution perturbations associate with the M-bank movement for the revised strategy are not as pronounced as those for the original one during load change transients, which helps to alleviated peaking factor concerns associated with the control rod insertion. In view of its accuracy, simplicity and fast computation speed, the developed RCFSP can be used for dynamic simulations and control studies of the AP1000 reactor with application of MSHIM control strategy. With the adoption of modular programming techniques, the RCFSP code can be easily modified and applied to other pressurized water nuclear reactors that employs separate, independent control rod banks for respectively controlling core reactivity and axial offset within corresponding deadbands.
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D’Onofrio, David, and Zhian Kuang. "Multi-physics Approach in Sub-System Modeling & Simulation (M&S) For a Gun Turret Drive Weapon System." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3205.

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<title>ABSTRACT</title> <p>For GDLS as an OEM in the defense industry working primarily as a system integrator, it is mission critical to develop a platform to weight/gauge/tradeoff requirements of various sub-systems in the final system product. Knowing sub-system performances in the final system on a physics bases, enables the system integrator more active roles in product R&D for requirement tradeoffs and price tag controls, instead of being passively driven solely by suppliers’ perspectives. Designing a light weight system while maintaining their mission profile, can lead to the use of more flexible structures thereby imposing additional dynamics affecting the integration of weapon systems into the vehicle structure. Added to this, the dynamics of electromechanical actuators, mechanical tolerances and discrete controllers, creates an environment, each of which is defined by its characteristic physics. This paper discusses a multi-physics approach used different brand named solvers best for different physics to model and simulate a generic gun system mounted in a turret. The gun platform consists of the gun installed in a cradle, electro-mechanical actuators and a generic fire control system. The turret and gun platform was modeled with rigid bodies defining the majority of the structure using the CAE program ADAMS and flex bodies via FEA models where applicable (ex. gun tube). Two simultaneous electric drives that actuate gun motion were composed of a number of parts whose stack up tolerance could impact gun pointing performance. To handle this contingency, classical joints were replaced with contact forces creating the necessary boundary conditions allowing the additional degrees of freedom to be modeled, representing true machine like behavior. Finally, control systems were modeled in Matlab Simulink and co-simulated with ADAMS to create a complete virtual environment. This approach has lead to a more through understanding of this complex system through the integration of each domain physic’s embodied in the individual systems.</p>
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