Academic literature on the topic 'Electromechanical simulation'

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Journal articles on the topic "Electromechanical simulation"

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Tang, Fan, Guo Liang Su, Dong Xiang Li, and Yu Hong Wang. "Electromagnetic - Electromechanical Transient Hybrid Simulation of Deyang-Baoji HVDC System Based on ADPSS." Advanced Materials Research 805-806 (September 2013): 935–40. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.935.

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three kinds of digital programs used in power system simulation are summarized in this paper. The electromagnetic and electromechanical transient simulation software ADPSS is introduced. Electromagnetic transient simulation, electromechanical transient simulation and electromagnetic-electromechanical transient hybrid simulation are performed respectively on Deyang-Baoji ±500KV HVDC system. The simulation result shows that the electromagnetic-electromechanical transient hybrid simulation has the advantage of electromagnetic transient simulation and electromechanical transient simulation. It can effectively analyze the process of the local electromagnetic transient in large-scale grid. The simulation speed is fast and the result is accurate and reliable.
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Lai, Xin, and Wanjun Xie. "Theoretical and Experimental Study on Electromechanical Coupling Properties of Multihammer Synchronous Vibration System." Shock and Vibration 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/6707264.

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Industrial simulation of real external load using multiple exciting points or increasing exciting force by synchronizing multiple exciting forces requires multiple vibration hammers to be coordinated and work together. Multihammer vibration system which consists of several hammers is a complex electromechanical system with complex electromechanical coupling. In this paper, electromechanical coupling properties of such a multihammer vibration system were studied in detail using theoretical derivation, numerical simulation, and experiment. A kinetic model of multihammer synchronous vibration system was established, and approximate expressions for electromechanical coupling strength were solved using a small parameter periodic averaging method. Basic coupling rules and reasons were obtained. Self-synchronization and frequency hopping phenomenon were also analyzed. Subsequently, numerical simulations were carried out and electromechanical coupling process was obtained for different parameters. Simulation results verify correctness of the proposed model and results. Finally, experiments were carried out, self-synchronization and frequency hopping phenomenon were both observed, and results agree well with theoretical deduction and simulation results. These results provide theoretical foundations for multihammer synchronous vibration system and its synchronous control.
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Ivanov, Sergey N., Konstantin K. Kim, Aleksey A. Prosolovitch, and Marat I. Khismatulin. "ELECTROMECHANICAL SYSTEM ANALYSIS WITH SIMULATION METHODS." Scholarly Notes of Komsomolsk-na-Amure State Technical University, no. 3 (2021): 29–38. http://dx.doi.org/10.17084/20764359-2021-51-29.

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Shi, Tao, Linan Qu, and Luming Ge. "Research on the Parameter Test and Identification Method of Electromechanical Transient Model for PV Power Generation." Electronics 9, no. 8 (2020): 1184. http://dx.doi.org/10.3390/electronics9081184.

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Model and parameters are the indispensable conditions for the simulation calculation of power systems with a high proportion of photovoltaic power generation. Conventional models of power electronic devices are difficult to meet the requirement of power system electromechanical transient simulation, and the parameters are difficult to obtain. Aiming at this problem, this paper proposes a structure of an electromechanical transient simulation model of a photovoltaic power station and designs a set of photovoltaic power generation transient characteristic test systems based on a fault simulation device. Through a disturbance test and model parameter identification, the electromechanical transient simulation model and parameters of photovoltaic power generation are obtained. In this paper, based on the test system, the electromechanical transient characteristics of a certain type of photovoltaic inverter are modeled. The results show that the model can successfully describe the electromechanical transient characteristics of photovoltaic power generation, and the simulation results obtained based on the model parameters have a good fitting degree compared with the measured curve.
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Wu, Jian Xin, Xiang Dong Qi, Yan Wang, and Di Wu. "ADAMS MATLAB Co-Simulation of Dynamics Parallel Manipulator." Advanced Materials Research 295-297 (July 2011): 2125–28. http://dx.doi.org/10.4028/www.scientific.net/amr.295-297.2125.

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Electromechanical coupling dynamic of parallel manipulator is a multi-input, multi-output, non linearity, tight coupling, and complex electromechanical system, but now there isn’t have a mature model of Parallel manipulator dynamic and methods of Simulation calculation. In this following passage, aiming at 3PUU parallel manipulator, we establish dynamic model In ADAMS software; design the servo controller in MATLAB and setting to the control parameters. The co-simulation results computer simulation validate the rationality of modeling of electromechanical coupling dynamics and show the optimal control of the mechanism’s displacement and torque of the servomotor by controller.
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Fan, Shuli, Weijie Li, Qingzhao Kong, Qian Feng, and Gangbing Song. "Monitoring of pin connection loosening using eletromechanical impedance: Numerical simulation with experimental verification." Journal of Intelligent Material Systems and Structures 29, no. 9 (2018): 1964–73. http://dx.doi.org/10.1177/1045389x18754354.

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Pin connection, as an important structural connection mechanism, is widely used in various structures, especially spatial structures. In this article, numerical and experimental investigations are performed for monitoring the loosening of pin-connected structures using the electromechanical impedance technique. For this purpose, a finite element model for a pin-connected structure considering the contact interfaces between the pin and the support base is proposed to study the effect of pin connection loosening on the electromechanical impedance signatures. A multi-physics analysis is conducted to simulate the electromechanical behavior of lead zirconate titanate transducers bonded on the pin head and the steel base. The relationship between the force applied on the pin connection and the variation in electromechanical impedance signatures is established. Experiments are carried out to verify the accuracy of the proposed finite element model. The results show that the changes in the electromechanical impedance signatures consist of frequency shifts and peak splitting. The contact condition of the pin connection can be assessed by observing the changes in the electromechanical impedance signatures. The location of the piezoelectric patch has significant effect on the sensitivity of the electromechanical impedance signatures. The numerical study in this research helps to optimize the design of sensor placement and improve the detection accuracy of the electromechanical impedance method in practical applications of detecting the loosening of pin-connected structures.
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Zhang, Bingda, Yang Wang, Sijia Tu, and Zhao Jin. "FPGA-Based Real-Time Digital Solver for Electro-Mechanical Transient Simulation." Energies 11, no. 10 (2018): 2650. http://dx.doi.org/10.3390/en11102650.

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A field-programmable gate array (FPGA)-based digital solver for real-time electromechanical transient simulation is designed in this paper. The solving process for a device or sub-network in an electromechanical transient simulation is packaged into the orders in soft function solvers. The orders are reused by soft function solvers that are invoked by microprocessor cores. The data exchange between the microprocessor cores and soft function solvers is enhanced through explicit and implicit channels. The orders of the microprocessor cores are stored in the synchronous dynamic random access memory on the FPGA board, which solves the problem of insufficient storage space for the orders in electromechanical transient simulation. A real-time digital solver for electromechanical transient simulation, whose feasibility is verified by a simulation of part of the power system in East China, is successfully constructed by applying a small number of microprocessor cores and multiple soft function solvers.
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Лозбинев, Владимир, Vladimir Lozbinev, Дмитрий Кочевинов, et al. "Dynamics simulation of bridge crane electromechanical system." Bulletin of Bryansk state technical university 2014, no. 1 (2014): 63–67. http://dx.doi.org/10.12737/23379.

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Presents the methods and results of modeling of dynamic processes controlled movement of the bridge crane with regard to wheel slippage, redistribution vertical loads, horizontal irregularities of rails and other features of the mechanical subsystem based on the combination of software systems Matlab/Simulink and «Universal mechanism».
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Dongyu, Shi, Chen Xujiang, Li Yalou, et al. "Online electromechanical and electromagnetic hybrid simulation system." Journal of Engineering 2017, no. 13 (2017): 1343–46. http://dx.doi.org/10.1049/joe.2017.0550.

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Gyimesi, M., I. Avdeev, and D. Ostergaard. "Finite-Element Simulation of Micro-Electromechanical Systems (MEMS) by Strongly Coupled Electromechanical Transducers." IEEE Transactions on Magnetics 40, no. 2 (2004): 557–60. http://dx.doi.org/10.1109/tmag.2004.824592.

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Dissertations / Theses on the topic "Electromechanical simulation"

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Konstandin, Alexander. "Simulation of the constitutive behavior of PZT ceramics under electromechanical loading." Aachen Shaker, 2008. http://d-nb.info/989363090/04.

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Kirk, Nathan Robert. "An adaptive, preconditioned, electromechanical model for the simulation of cardiac arrhythmias." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/2865/.

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In this thesis a coupled model of cardiac electromechanical activity is presented, using the finite element method to model both electrophysiology and mechanics within a deforming domain. The efficiency of the electrical model was improved using adaptive mesh refinement and the mechanical system performance was improved with the addition of preconditioning. Unstructured triangular meshes were used throughout. The electrophysiology model uses the ten Tusscher-Panfilov 2006 detailed cellular model, and includes anisotropic diffusion, uses a semi-implicit time stepping scheme, stores data in an efficient sparse storage format and applies a Reverse Cuthill-McKee ordering algorithm to reduce the matrices’ bandwidths. Linear elements were used to approximate the transmembrane voltage and spatial and temporal convergence tests were undertaken. Local mesh adaptivity is added to the electrical component of the model and improvements to the performance and efficiency gained by this technique were investigated. Two different monitor functions were utilised and these demonstrated that by targeting adaptive mesh refinement at the front of the electrical wave significant efficiency and performance benefits could be achieved. The cardiac mechanical model is based on finite deformation elasticity theory, enforces the incompressibility of the tissue and incorporates anisotropic tension to simulate fibre orientation. This uses isoparametric quadratic elements for deformation, linear elements for pressure, was integrated with numerical quadrature and the resulting non-linear system solved with the iterative Newton method. Preconditioning was added to the mechanical component of the model and improvements in the performance of the solver due to this were investigated. An ILUT (Incomplete Lower Upper factorisation with drop Tolerance) preconditioner was implemented and this demonstrated performance improvements of up to 27 times on the meshes tested. The resulting cardiac electromechanical solver was then used to consider how known changes in cardiac electrophysiology, which are manifest in end-stage heart disease, affect the stability of the electrical wave. Specifically, investigations were undertaken into the introduction of fibrotic regions (with different sizes and concentrations) and electrical remodelling caused by end-stage cardiac disease. These were modelled on both static and deforming domains to consider whether deformation can alter the stability of a spiral wave. These simulations demonstrated that fibrotic regions and tissue deformation can have significant disruptive effects on the stability of a re-entrant spiral wave and that remodelling the electrophysiology stabilises the wave.
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Zhai, Pei. "The hybrid real-time simulation system based on the electromechanical transient process simulation of power systems." Thesis, University of Macau, 2007. http://umaclib3.umac.mo/record=b1678026.

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Leichsenring, Peter, and Thomas Wallmersperger. "Time-dependent chemo-electromechanical behavior of hydrogelbased structures." SPIE, 2018. https://tud.qucosa.de/id/qucosa%3A35174.

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Charged hydrogels are ionic polymer gels and belong to the class of smart materials. These gels are multiphasic materials which consist of a solid phase, a fluid phase and an ionic phase. Due to the presence of bound charges these materials are stimuli-responsive to electrical or chemical loads. The application of electrical or chemical stimuli as well as mechanical loads lead to a viscoelastic response. On the macroscopic scale, the response is governed by a local reversible release or absorption of water which, in turn, leads to a local decrease or increase of mass and a respective volume change. Furthermore, the chemo-electro-mechanical equilibrium of a hydrogel depends on the chemical composition of the gel and the surrounding solution bath. Due to the presence of bound charges in the hydrogel, this system can be understood as an osmotic cell where differences in the concentration of mobile ions in the gel and solution domain lead to an osmotic pressure difference. In the present work, a continuum-based numerical model is presented in order to describe the time-dependent swelling behavior of hydrogels. The numerical model is based on the Theory of Porous Media and captures the fluid-solid, fluid-ion and ion-ion interactions. As a direct consequence of the chemo-electro-mechanical equilibrium, the corresponding boundary conditions are defined following the equilibrium conditions. For the interaction of the hydrogel with surrounding mechanical structures, also respective jump condtions are formulated. Finaly, numerical results of the time-dependent behavior of a hydrogel-based chemo-sensor will be presented.
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Liang, Darwin Tat Wai. "Simulation and analysis of induction motor drive systems." Thesis, Heriot-Watt University, 1993. http://hdl.handle.net/10399/1427.

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Choi, Hong Fei. "Numerical simulation of atrium fire using two CFD tools." Thesis, University of Macau, 2007. http://umaclib3.umac.mo/record=b1694321.

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Li, Jian. "Implementation and simulation of various vector controlled induction motor drives." Thesis, University of Aberdeen, 1995. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU083755.

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The development of AC drives has gained momentum with the advancement of power electronic devices, control theory and technology of microprocessors. Based on high speed digital signal processing theory and power transistor hardware, two axis machine model and adaptive control techniques, a vector controlled fully digital induction motor drive is a high performance, low cost drive which is becoming increasingly popular in many industrial applications in all power ranges and will succeed the dc drive in the near future. The main goal of the thesis is to investigate the various forms of implementations of vector controlled digital signal processor based high performance induction motor drives. For this purpose, a TMS320C30 digital signal processor board with transducer and interfacing circuits has been designed, manufactured and built. Furthermore a conventional bipolar transistor inverter has been modified and interfaced to the DSP board. The entire hardware has been tested and successfully implemented. The control software is versatile and provides a platform for implementing various control configurations. The first part of the thesis reviews the development of various vector controlled drives; different mathematical models are presented and discussed together with digital simulation results of different vector controlled schemes. Intelligent control algorithms based on neural networks, fuzzy control, self-tuning control are also considered, some of them are tested by using real-time simulation or on a real drive. Different PWM strategies are investigated and compared, and a versatile and reliable real-time PWM algorithm is generated and integrated into the drive control software. Various parameter identification and auto-commissioning techniques are included in the control software. Details of experimentally obtained results for various vector drives are presented.
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Konstandin, Alexander [Verfasser]. "Simulation of the Constitutive Behavior of PZT Ceramics under Electromechanical Loading / Alexander Konstandin." Aachen : Shaker, 2008. http://d-nb.info/1162792043/34.

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Donolo, Marcos A. "A continuum Approach to Power system simulation." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/29002.

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The behavior of large and tightly interconnected power systems resembles, in certain circumstances, the behavior of a continuously distributed system. This resemblance motivated the derivation of continuum models, which were used to explain and predict disturbance propagation, un-damped power oscillations, and the stability of power systems. In this dissertation, we propose a one-dimensional continuum representation suitable for meshed power systems. Previous continuous representations of meshed power systems used two-dimensional spatial domains. Thus our approach has the potential to provide better resolution for comparable computational burden. It is important to note that, the computational burden required to obtain solutions for PDEs involved in the continuum representation varies notably with the solver implementation. The contributions of this dissertation are: a) Reviewing a previous continuum model and providing a detailed derivation for the one-dimensional version of it. b) Providing and describing in detail a parameter distribution technique adequate for the continuum approach. c) Identifying and documenting limitations on the continuum model voltage calculation. e) Providing a procedure to simulate the behavior of meshed power systems using the one dimensional continuum model. And f) Identifying and applying a numerical PDE solver for the continuum approach.<br>Ph. D.
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Rezaei-Lori, Ahmad Ali. "Design and simulation of brushless DC drive systems for industrial applications." Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336117.

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Books on the topic "Electromechanical simulation"

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1939-, Nagamatsu Akio, ed. Fukugō ryōiki shimyurēshon no tame no denki kikaikei no rikigaku: Dynamics of Electromechanical System for Multi-Domain Simulation. Koronasha, 2013.

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Knox, Charles E. Manual flying of curved precision approaches to landing with electromechanical instrumentation: A piloted simulation study. Langley Research Center, 1993.

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Hewlett, J. Christopher. Ship navigation simulator study, Savannah Harbor widening project, Savannah, Georgia. Dept. of the Army, Waterways Experiment Station, Corps of Engineers, 1987.

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Moritz, Frederick G. Electromechanical Motion Systems: Design and Simulation. Wiley & Sons, Incorporated, John, 2013.

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Electromechanical Motion Systems Design And Simulation. John Wiley & Sons Inc, 2014.

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Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer, 2014.

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Lee, Jaewook, Tsuyoshi Nomura, and Ercan M. Dede. Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer, 2014.

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Dede, Ercan M. M., Jaewook Lee, and Tsuyoshi Nomura. Multiphysics Simulation: Electromechanical System Applications and Optimization. Springer, 2016.

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Mechatronic Systems: Modelling and Simulation with HDLs. Wiley, 2003.

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Fast Simulation of Electro-Thermal MEMS: Efficient Dynamic Compact Models (Microtechnology and MEMS). Springer, 2006.

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Book chapters on the topic "Electromechanical simulation"

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Dede, Ercan M., Jaewook Lee, and Tsuyoshi Nomura. "Governing Equations for Electromechanical Systems." In Simulation Foundations, Methods and Applications. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5640-6_3.

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Dede, Ercan M., Jaewook Lee, and Tsuyoshi Nomura. "Optimization Methods for Electromechanical Systems." In Simulation Foundations, Methods and Applications. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5640-6_4.

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Dede, Ercan M., Jaewook Lee, and Tsuyoshi Nomura. "Overview of Physics for Electromechanical Systems." In Simulation Foundations, Methods and Applications. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5640-6_2.

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Dede, Ercan M., Jaewook Lee, and Tsuyoshi Nomura. "Electromechanical System Simulation and Optimization Studies." In Simulation Foundations, Methods and Applications. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5640-6_5.

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Enge, Olaf, Gerald Kielau, and Peter Maißer. "Modelling and Simulation of Discrete Electromechanical Systems." In Proceedings of the Third Conference on Mechatronics and Robotics. Vieweg+Teubner Verlag, 1995. http://dx.doi.org/10.1007/978-3-322-91170-4_23.

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Kurbanov, Vugar G., Andrey E. Gorodetskiy, and I. L. Tarasova. "Computer Simulation of Automatic Control System Ciliated Propulsion." In Smart Electromechanical Systems: The Central Nervous System. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53327-8_18.

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Chapelle, Dominique, Miguel A. Fernández, Jean-Frédéric Gerbeau, Philippe Moireau, Jacques Sainte-Marie, and Nejib Zemzemi. "Numerical Simulation of the Electromechanical Activity of the Heart." In Functional Imaging and Modeling of the Heart. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01932-6_39.

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Wang, Yi, Licheng Sun, Ziheng Wang, and Yanjun Feng. "GPU-Accelerated Batch Electromechanical Transient Simulation of Power System." In Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9783-7_55.

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Ruiz-Baier, Ricardo, Davide Ambrosi, Simone Pezzuto, Simone Rossi, and Alfio Quarteroni. "Activation Models for the Numerical Simulation of Cardiac Electromechanical Interactions." In Computer Models in Biomechanics. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5464-5_14.

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Janocha, H., and B. Clephas. "Measurement and Simulation of the Electromechanical Behavior of Piezoelectric Stack Transducers." In Piezoelectric Materials: Advances in Science, Technology and Applications. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4094-2_19.

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Conference papers on the topic "Electromechanical simulation"

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Корнеев, Андрей, Andrey Korneev, Татьяна Ларькина, and Tat'yana Lar'kina. "RESEARCH OF ELECTROMECHANICAL SYSTEM WITH DISTRIBUTED PARAMETERS." In CAD/EDA/Simulation in Modern Electronics. Bryansk State Technical University, 2018. http://dx.doi.org/10.30987/conferencearticle_5c19e6a14aa728.50658170.

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Jungwirth, Mario. "Online fluid-monitoring using an electromechanical cantilever." In Multi-Physics simulation and Experiments in Microelectronics. IEEE, 2008. http://dx.doi.org/10.1109/esime.2008.4525008.

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Jia, Tao, Jing-ying Zhang, and Lang Wang. "The thermal simulation of electromechanical platform system." In 2014 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2014. http://dx.doi.org/10.1109/itec-ap.2014.6940975.

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Starke, E. "C3.1 - Simulation of Electromechanical Sensors and Systems." In AMA Conferences 2017. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2017. http://dx.doi.org/10.5162/sensor2017/c3.1.

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Hoffman, Jeremiah, Anthony Palazotto, and Nicholas Niedbalski. "Linear Modeling of an Electromechanical Actuator Test Rig." In 2018 AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-2158.

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Hannot, Stephan D. A., and Daniel J. Rixen. "Determining pull-in curves with electromechanical FEM models." In Multi-Physics simulation and Experiments in Microelectronics. IEEE, 2008. http://dx.doi.org/10.1109/esime.2008.4525057.

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Battipede, Manuela, Matteo D. Dalla Vedova, Paolo Maggiore, and Simone Romeo. "Model Based Analysis of Precursors of Electromechanical Servomechanism Failures." In AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2035.

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Demmie, Paul N. "Modeling and Simulation of Explosively Driven Electromechanical Devices." In Shock Compression of Condensed Matter - 2001: 12th APS Topical Conference. AIP, 2002. http://dx.doi.org/10.1063/1.1483542.

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Bahadur, Rabya, and A. Mahmood. "Prosthetic hand module using electromechanical actuators: A simulation." In 2016 19th International Multi-Topic Conference (INMIC). IEEE, 2016. http://dx.doi.org/10.1109/inmic.2016.7840124.

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Budinger, Marc, Jonathan Liscoue¨t, Yu Cong, and Jean-Charles Mare´. "Simulation Based Design of Electromechanical Actuators With Modelica." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86416.

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This article deals with a methodology for the computer-aided design of electromechanical actuators. In the frame of the preliminary design, it focuses on the selection and sizing of various components used in the actuator architectures. The addressed design criteria are the mass and reliability for given effort and speed profiles. The developed library of components for the simulation takes advantage of the non-causal and object oriented characteristics of the Modelica language. Thus, the library models can carry out an inverse simulation of the energy flows going from the mechanical load to the power source. Additionally, the number of parameters to be entered by the user has been minimized by the use of scaling laws, which return all the parameters that are necessary for the simulation. At the end of the article, the proposed approach is illustrated with the sizing and comparison of actuator architectures for an aircraft landing gear steering system.
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