Academic literature on the topic 'Multibody Dynamics Simulation'

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Journal articles on the topic "Multibody Dynamics Simulation"

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Chen, Gang, Weigong Zhang, and Bing Yu. "Multibody dynamics modeling of electromagnetic direct-drive vehicle robot driver." International Journal of Advanced Robotic Systems 14, no. 5 (2017): 172988141773189. http://dx.doi.org/10.1177/1729881417731896.

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Collaborative dynamics modeling of flexible multibody and rigid multibody for an electromagnetic direct-drive vehicle robot driver is proposed in the article. First, spatial dynamic equations of the direct-drive vehicle robot driver are obtained based on multibody system dynamics. Then, the shift manipulator dynamics model and the mechanical leg dynamics model are established on the basis of the multibody dynamics equations. After establishing a rigid multibody dynamics model and conducting finite element mesh and finite element discrete processing, a flexible multibody dynamics modeling of the electromagnetic direct-drive vehicle robot driver is established. The comparison of the simulation results between rigid and flexible multibody is performed. Simulation and experimental results show the effectiveness of the presented model of the electromagnetic direct-drive vehicle robot driver.
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Kuivaniemi, Teemu, Antti Mäntylä, Ilkka Väisänen, Antti Korpela, and Tero Frondelius. "Dynamic Gear Wheel Simulations using Multibody Dynamics." Rakenteiden Mekaniikka 50, no. 3 (2017): 287–91. http://dx.doi.org/10.23998/rm.64944.

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Simulation of the gear train is an important part of the dynamic simulation of the power train of a medium speed diesel engine. In this paper, the advantages of dynamic gear wheel simulation as a part of the flexible multibody simulation of a complete power train are described. The simulation is performed using AVL EXCITE Power Unit.
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Lau, Albert, and Inge Hoff. "Simulation of Train-Turnout Coupled Dynamics Using a Multibody Simulation Software." Modelling and Simulation in Engineering 2018 (July 22, 2018): 1–10. http://dx.doi.org/10.1155/2018/8578272.

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With the advancements of computing power, multibody simulation (MBS) tool is used to study not only train dynamics but also more realistic phenomena such as train-track coupled dynamics. However, train-turnout coupled dynamics within MBS is still hard to be found. In this paper, a train-turnout coupled model methodology using a MBS tool GENSYS is presented. Dynamic track properties of a railway track are identified through numerical receptance test on a simple straight track model. After that, the identified dynamic track properties are adopted in a switch and crossing (turnout) to simulate train-turnout coupled dynamic interaction including parameters such as rail bending stiffness and sleeper mass variation along the turnout. The train-turnout coupled dynamic interaction is compared to the dynamic interaction simulated from a widely accepted moving mass train-turnout model. It is observed that the vertical and lateral normal forces for the new train-turnout coupled model and the conventional moving mass train-turnout model are in good agreement. In addition, the new train-turnout coupled model can provide additional track dynamics results. It is concluded that the train-turnout coupled model can provide a more realistic train-turnout dynamic interaction compared to the moving mass train-turnout model.
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Kim, Dave, and Namkug Ku. "Heave Compensation Dynamics for Offshore Drilling Operation." Journal of Marine Science and Engineering 9, no. 9 (2021): 965. http://dx.doi.org/10.3390/jmse9090965.

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In this study, dynamic response analysis of a heave compensation system for offshore drilling operations was conducted based on multibody dynamics. The efficiency of the heave compensation system was computed using simulation techniques and virtually confirmed before being applied to drilling operations. The heave compensation system was installed on a semi-submersible and comprises several interconnected bodies with various joints. Therefore, a dynamics kernel based on multibody dynamics was developed to perform dynamic response analysis. The recursive Newton–Euler formulation was adopted to construct the equations of motion for the multibody system. Functions of the developed dynamics kernel were verified by comparing them with those from other studies. Hydrostatic force, linearized hydrodynamic force, and pneumatic and hydraulic control forces were considered the external forces acting on the platform of the semi-submersible rig and the heave compensation system. The dynamic simulation was performed for the heave compensation system of the semi-submersible rig for drilling operations up to 3600 m water depth. From the results of the simulation, the efficiency of the heave compensation system was evaluated to be approximately 96.7%.
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Zhu, C. X., Yong Xian Liu, Guang Qi Cai, and L. D. Zhu. "Dynamics Simulation Analysis of Flexible Multibody of Parallel Robot." Applied Mechanics and Materials 10-12 (December 2007): 647–51. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.647.

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Take a kind of 3-TPT parallel robot as an example, the model of flexible multibody of parallel machine tool is built by using multibody dynamics simulation software ADAMS and finite element analysis software ANSYS. And dynamics equation of flexible body in spatial is also set up, after that the dynamics simulation is carried out. Then the simulation results of rigid bodies are compared with flexible ones, and the results show that the forces applied on flexible bodies appear high nonlinear, so the simulation results of flexible multibody system are more authentic, nicety and can reflect actual dynamics characteristic of parallel robot.
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Teixeira, Ricardo R., Sérgio R. D. S. Moreira, and S. M. O. Tavares. "Multibody Dynamics Simulation of an Electric Bus." Procedia Engineering 114 (2015): 470–77. http://dx.doi.org/10.1016/j.proeng.2015.08.094.

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KOYAMA, Yutaka, Masahiro WATANABE, Keisuke KOZONO, and Nobuyuki KOBAYASI. "416 Multibody Dynamics Simulation of Sheet Flutter." Proceedings of the Dynamics & Design Conference 2004 (2004): _416–1_—_416–6_. http://dx.doi.org/10.1299/jsmedmc.2004._416-1_.

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Omar, Mohamed A. "Chain Drive Simulation Using Spatial Multibody Dynamics." Advances in Mechanical Engineering 6 (January 2014): 378030. http://dx.doi.org/10.1155/2014/378030.

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Sharf, I., and G. M. T. D'Eleuterio. "Parallel simulation dynamics for elastic multibody chains." IEEE Transactions on Robotics and Automation 8, no. 5 (1992): 597–606. http://dx.doi.org/10.1109/70.163784.

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Sun, Ao, and Ting Qiang Yao. "Modeling and Analysis of Planar Multibody System Containing Deep Groove Ball Bearing with Slider-Crank Mechanism." Advanced Materials Research 753-755 (August 2013): 918–23. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.918.

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With the rotating machinery system developing toward high speed, high precision, and high reliability direction, ball bearing dynamic performance have a critical impact to dynamics characteristics of support system. Based on multibody dynamics theory and contact dynamics method,and considering the ball and ring raceway 3 d dynamic contact relationship, using ADAMS dynamics analysis software to establish the multibody dynamics model of crank slider mechanism containing ball bearing dynamic contact relationship.The simulation analysis of the dynamic performance of the ball bearing and the crank slider mechanism dynamics response, and the influence of dynamic performance for considering ball bearing rotating mechanical system dynamics analysis provides a reference method.The simulation analysts the influence of dynamic performance of the ball bearing to the crank slider mechanism dynamics response. It provides a reference method for rotating mechanical system dynamics analysis considering the dynamic performance of the ball bearing.
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Dissertations / Theses on the topic "Multibody Dynamics Simulation"

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Yamashita, Hiroki. "Flexible multibody dynamics approach for tire dynamics simulation." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2297.

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The objective of this study is to develop a high-fidelity physics-based flexible tire model that can be fully integrated into multibody dynamics computer algorithms for use in on-road and off-road vehicle dynamics simulation without ad-hoc co-simulation techniques. Despite the fact detailed finite element tire models using explicit finite element software have been widely utilized for structural design of tires by tire manufactures, it is recognized in the tire industry that existing state-of-the-art explicit finite element tire models are not capable of predicting the transient tire force characteristics accurately under severe vehicle maneuvering conditions due to the numerical instability that is essentially inevitable for explicit finite element procedures for severe loading scenarios and the lack of transient (dynamic) tire friction model suited for FE tire models. Furthermore, to integrate the deformable tire models into multibody full vehicle simulation, co-simulation technique could be an option for commercial software. However, there exist various challenges in co-simulation for the transient vehicle maneuvering simulation in terms of numerical stability and computational efficiency. The transient tire dynamics involves rapid changes in contact forces due to the abrupt braking and steering input, thus use of co-simulation requires very small step size to ensure the numerical stability and energy balance between two separate simulation using different solvers. In order to address these essential and challenging issues on the high-fidelity flexible tire model suited for multibody vehicle dynamics simulation, a physics-based tire model using the flexible multibody dynamics approach is proposed in this study. To this end, a continuum mechanics based shear deformable laminated composite shell element is developed based on the finite element absolute nodal coordinate formulation for modeling the complex fiber reinforced rubber tire structure. The assumed natural strain (ANS) and enhanced assumed strain (EAS) approaches are introduced for alleviating element lockings exhibited in the element. Use of the concept of the absolute nodal coordinate formulation leads to various advantages for tire dynamics simulation in that (1) constant mass matrix can be obtained for fully nonlinear dynamics simulation; (2) exact modeling of rigid body motion is ensured when strains are zero; and (3) non-incremental solution procedure utilized in the general multibody dynamics computer algorithm can be directly applied without specialized updating schemes for finite rotations. Using the proposed shear deformable laminated composite shell element, a physics-based flexible tire model is developed. To account for the transient tire friction characteristics including the friction-induced hysteresis that appears in severe maneuvering conditions, the distributed parameter LuGre tire friction model is integrated into the flexible tire model. To this end, the contact patch predicted by the structural tire model is discretized into small strips across the tire width, and then each strip is further discretized into small elements to convert the partial differential equations of the LuGre tire friction model to the set of first-order ordinary differential equations. By doing so, the structural deformation of the flexible tire model and the LuGre tire friction force model are dynamically coupled in the final form of the equations, and these equations are integrated simultaneously forward in time at every time step. Furthermore, a systematic and automated procedure for parameter identification of LuGre tire friction model is developed. Since several fitting parameters are introduced to account for the nonlinear friction characteristics, the correlation of the model parameters with physical quantities are not clear, making the parameter identification of the LuGre tire friction model difficult. In the procedure developed in this study, friction parameters in terms of slip-dependent friction characteristics and adhesion parameter are estimated separately, and then all the parameters are identified using the nonlinear least squares fitting. Furthermore, the modified friction characteristic curve function is proposed for wet road conditions, in which the linear decay in friction is exhibited in the large slip velocity range. It is shown that use of the proposed numerical procedure leads to an accurate prediction of the LuGre model parameters for measured tire force characteristics under various loading and speed conditions. Furthermore, the fundamental tire properties including the load-deflection curve, the contact patch lengths, contact pressure distributions, and natural frequencies are validated against the test data. Several numerical examples for hard braking and cornering simulation are presented to demonstrate capabilities of the physics-based flexible tire model developed in this study. Finally, the physics-based flexible tire model is further extended for application to off-road mobility simulation. To this end, a locking-free 9-node brick element with the curvature coordinates at the center node is developed and justified for use in modeling a continuum soil with the capped Drucker-Prager failure criterion. Multiplicative finite strain plasticity theory is utilized to consider the large soil deformation exhibited in the tire/soil interaction simulation. In order to identify soil parameters including cohesion and friction angle, the triaxial soil test is conducted. Using the soil parameters identified including the plastic hardening parameters by the compression soil test, the continuum soil model developed is validated against the test data. Use of the high-fidelity physics-based tire/soil simulation model in off-road mobility simulation, however, leads to a very large computational model to consider a wide area of terrains. Thus, the computational cost dramatically increases as the size of the soil model increases. To address this issue, the component soil model is proposed such that soil elements far behind the tire can be removed from the equations of motion sequentially, and then new soil elements are added to the portion that the tire is heading to. That is, the soil behavior only in the vicinity of the rolling tire is solved in order to reduce the overall model dimensionality associated with the finite element soil model. It is shown that use of the component soil model leads to a significant reduction in computational time while ensuring the accuracy, making the use of the physics-based deformable tire/soil simulation capability feasible in off-road mobility simulation.
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Wong, Darrell. "Parallel implementation of multibody dynamics for real-time simulation." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/32391.

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A multibody dynamics formulation has been developed for the purposes of real-time simulation of large scale robotic mechanisms such as excavators. The formulation models the rigid body dynamics of any arbitrary tree structured mechanism, although at present the formulation is restricted to single degree of freedom rotational joints. This formulation is an example of the orthogonal complement approach, which describes the dynamics by projecting an initial description of the primitive equations of motion (the derivatives of translational and angular momentum plus the kinematic equations) from angular and translational Cartesian coordinates to relative angles. In this thesis the approach was developed from Newtonian and Eulerian principles. Novel single cpu algorithms for inertia matrix and force vector formation have been implemented. Novel multiprocessor algorithms were implemented for the inertia matrix and the force vector on a 2d [formula omitted] triangular mesh architecture. A feedforward systolic matrix solution technique was also implemented. These algorithms are of O(n) complexity, and together they form a parallel formulation which is more efficient than other parallel formulations in the literature for mechanisms with fewer than 15 degrees of freedom. A Caterpillar 215B excavator was simulated in real-time using an array of transputers, and teleoperation experiments were conducted to verify the formulation. Single cpu simulations of the PUMA 600 and a human torso were also conducted.<br>Applied Science, Faculty of<br>Electrical and Computer Engineering, Department of<br>Graduate
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Choi, Jou-Young. "Flexible multibody analysis of thin structures with actuated components." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/12532.

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Rodriguez, Jesus. "Modeling of complex systems using nonlinear, flexible multibody dynamics." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/12344.

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Sumer, Yalcin Faik. "Predictive Control of Multibody Systems for the Simulation of Maneuvering Rotorcraft." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6940.

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Simulation of maneuvers with multibody models of rotorcraft vehicles is an important research area due to its complexity. During the maneuvering flight, some important design limitations are encountered such as maximum loads and maximum turning rates near the proximity of the flight envelope. This increases the demand on high fidelity models in order to define appropriate controls to steer the model close to the desired trajectory while staying inside the boundaries. A framework based on the hierarchical decomposition of the problem is used for this study. The system should be capable of generating the track by itself based on the given criteria and also capable of piloting the model of the vehicle along this track. The generated track must be compatible with the dynamic characteristics of the vehicle. Defining the constraints for the maneuver is of crucial importance when the vehicle is operating close to its performance boundaries. In order to make the problem computationally feasible, two models of the same vehicle are used where the reduced model captures the coarse level flight dynamics, while the fine scale comprehensive model represents the plant. The problem is defined by introducing planning layer and control layer strategies. The planning layer stands for solving the optimal control problem for a specific maneuver of a reduced vehicle model. The control layer takes the resulting optimal trajectory as an optimal reference path, then tracks it by using a non-linear model predictive formulation and accordingly steers the multibody model. Reduced models for the planning and tracking layers are adapted by using neural network approach online to optimize the predictive capabilities of planner and tracker. Optimal neural network architecture is obtained to augment the reduced model in the best way. The methodology of adaptive learning rate is experimented with different strategies. Some useful training modes and algorithms are proposed for these type of applications. It is observed that the neural network increased the predictive capabilities of the reduced model in a robust way. The proposed framework is demonstrated on a maneuvering problem by studying an obstacle avoidance example with violent pull-up and pull-down.
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Ricci, Stefano <1982&gt. "Model reduction techniques in flexible multibody dynamics with application to engine cranktrain simulation." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5882/.

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The development of a multibody model of a motorbike engine cranktrain is presented in this work, with an emphasis on flexible component model reduction. A modelling methodology based upon the adoption of non-ideal joints at interface locations, and the inclusion of component flexibility, is developed: both are necessary tasks if one wants to capture dynamic effects which arise in lightweight, high-speed applications. With regard to the first topic, both a ball bearing model and a journal bearing model are implemented, in order to properly capture the dynamic effects of the main connections in the system: angular contact ball bearings are modelled according to a five-DOF nonlinear scheme in order to grasp the crankshaft main bearings behaviour, while an impedance-based hydrodynamic bearing model is implemented providing an enhanced operation prediction at the conrod big end locations. Concerning the second matter, flexible models of the crankshaft and the connecting rod are produced. The well-established Craig-Bampton reduction technique is adopted as a general framework to obtain reduced model representations which are suitable for the subsequent multibody analyses. A particular component mode selection procedure is implemented, based on the concept of Effective Interface Mass, allowing an assessment of the accuracy of the reduced models prior to the nonlinear simulation phase. In addition, a procedure to alleviate the effects of modal truncation, based on the Modal Truncation Augmentation approach, is developed. In order to assess the performances of the proposed modal reduction schemes, numerical tests are performed onto the crankshaft and the conrod models in both frequency and modal domains. A multibody model of the cranktrain is eventually assembled and simulated using a commercial software. Numerical results are presented, demonstrating the effectiveness of the implemented flexible model reduction techniques. The advantages over the conventional frequency-based truncation approach are discussed.
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Komodromos, Petros I. (Petros Ioannis). "Development and implementation of a combined discrete and finite element multibody dynamics simulation environment." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/31102.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2001.<br>Includes bibliographical references (p. [195]-198) and index.<br>Some engineering applications and physical phenomena involve multiple bodies that undergo large displacements involving collisions between the bodies. Considering the difficulties and cost associated when conducting physical experiments of such systems, there is a demand for numerical simulation capabilities. The discrete element methods (DEM) are numerical techniques that have been specifically developed to facilitate simulations of distinct bodies that interact with each other through contact forces. In DEM the simulated bodies are typically assumed to be infinitely rigid. However, there are multibody systems for which it is useful to take into account the deformability of the simulated bodies. The objective of this research is to incorporate deformability in DEM, enabling the evaluation of the stress and strain distributions within simulated bodies during simulation. In order to achieve this goal, an Updated Lagrangian (UL) Finite Element (FE) formulation and an explicit time integration scheme have been employed together with some simplifiying assumptions to linearize this highly nonlinear contact problem and obtain solutions with realistic computational cost. An object-oriented extendable computational tool has been built specifically to allow us to simulate multiple distinct bodies that interact through contact forces allowing selected bodies to be deformable. Database technology has also been utilized in order to efficiently handle the huge amounts of computed results.<br>by Petros Komodromos.<br>Ph.D.
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Aghaei, Shayan. "Acoustic Radiation Of An Automotive Component Using Multi-Body Dynamics." Thesis, KTH, Fordonsdynamik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288710.

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An important facet of creating high-quality vehicles is to create components that are quiet and smooth under operation. In reality, however, it is challenging to measure the sound that some automotive components make under load because it requires specialist facilities and equipment which are expensive to acquire. Furthermore, the motors used in testbeds drown out the noise emitted from much quieter components, such as a Power Transfer Unit (PTU). This thesis aims to solve these issues by outlining the steps required to virtually estimate the acoustic radiation of a PTU using the Transmission Error (TE) as the input excitation via multi-body dynamics (MBD). MBD is used to estimate the housing vibrations, which can then be coupled with an acoustic tool to create a radiation analysis. Thus, creating a viable method to measure the acoustic performance without incurring significant expenses. Furthermore, it enables noise and vibration analyses to be incorporated more easily into the design stage. This thesis analysed the sound radiated due to gear whine which arises due to the TE and occurs at the gear mesh frequency and its multiples. The simulations highlighted that the TE can be accurately predicted using the methods outlined in this thesis. Similarly, the method can reliably obtain the vibrations of the housing. The results from this analysis show that at 2000 rpm the PTU was sensitive to vibrations at 500, 1000 and 1500 Hz, the largest amplitude being at 1000 Hz. Furthermore, the Sound Power Level (SWL) was proportional to the vibration amplitudes in the system. Analytical calculations were conducted to verify the methods and showed a strong correlation. However, it was concluded that experiments are required to further verify the findings in this thesis.<br>En viktig aspekt i att skapa fordon av hög kvalitet är att skapa komponenter som är tysta och smidiga under drift. I verkligheten är det dock svårt att mäta ljudet som vissa fordonskompo- nenter ger under belastning eftersom det kräver specialanläggningar och utrustning, vilket är dyrt att skaffa. Dessutom maskerar motorerna som används i testbäddar ut bullret från mycket tystare komponenter, till exempel en kraftöverföringsenhet (PTU). Detta examensar- bete syftar till att lösa dessa problem genom att beskriva de steg som krävs för att virtuellt uppskatta den akustiska strålningen av en PTU med hjälp av transmissionsfelet (TE) som ingångsexcitation via flerkroppsdynamik (multi-body dynamics, MBD). MBD används för att uppskatta kåpans vibrationer, som sedan kan kopplas till ett akustiskt verktyg för att skapa en ljudutstrålningsanalys. Således skapas en genomförbar metod för att mäta den akustiska pre- standan utan att medföra betydande kostnader. Dessutom möjliggör det att lättare integrera ljud- och vibrationsanalyser i designfasen. Detta examensarbete analyserade ljudet som utstrålats på grund av kugghjulsljud, som uppstår på grund av TE och uppträder vid kuggingreppsfrekvensen och dess multiplar. Simuleringarna belyste att TE kan förutsägas exakt med de metoder som beskrivs i detta examensarbete. På samma sätt kan metoden på ett tillförlitligt sätt uppnå kåpans vibrationer. Resultaten från denna analys visar att vid 2000 rpm var PTU känslig för vibrationer vid 500, 1000 och 1500 Hz, den största amplituden var vid 1000 Hz. Dessutom var ljudeffektsnivån (SWL) proportionell mot vibrationsamplituderna i systemet. Analytiska beräkningar genomfördes för att verifiera metoderna och visade en stark korrelation. Dock drogs slutsatsen att experiment krävs för att ytterligare verifiera resultaten i detta arbete.
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Oral, Gokhan. "Flexible Multibody Dynamic Modeling And Simulation Of Rhex Hexapod Robot With Half Circular Compliant Legs." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610137/index.pdf.

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The focus of interest in this study is the RHex robot, which is a hexapod robot that is capable of locomotion over rugged, fractured terrain through statically and dynamically stable gaits while stability of locomotion is preserved. RHex is primarily a research platform that is based on over five years of previous research. The purpose of the study is to build a virtual prototype of RHex robot in order to simulate different behavior without manufacturing expensive prototypes. The virtual prototype is modeled in MSC ADAMS software which is a very useful program to simulate flexible multibody dynamical systems. The flexible half circular legs are modeled in a finite element program (MSC NASTRAN) and are embedded in the main model. Finally a closed loop control mechanism is built in MATLAB to be able to simulate real autonomous RHex robot. The interaction of MATLAB and MSC ADAMS softwares is studied.
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Schmitt, Alexander Georg [Verfasser], and Robert [Akademischer Betreuer] Seifried. "Real-time simulation of flexible multibody systems in vehicle dynamics / Alexander Georg Schmitt ; Betreuer: Robert Seifried." Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2019. http://d-nb.info/1200058712/34.

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Books on the topic "Multibody Dynamics Simulation"

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Sharf, Inna. Parallel simulation dynamics for open multibody chains. University of Toronto, 1990.

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Coutinho, Murilo G. Dynamic Simulations of Multibody Systems. Springer New York, 2001.

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Schiehlen, Werner. Advanced Multibody System Dynamics: Simulation and Software Tools. Springer Netherlands, 1993.

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Sopanen, Jussi. Studies of rotor dynamics using a multibody simulation approach. Lappeenranta University of Technology, 2004.

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Bornath, Anne M. C. Simulation dynamics of a multibody chain: recursion based on chain modal coordinates. University of Toronto, Institute for Aerospace Studies, 1993.

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Zahariev, Evtim, and Javier Cuadrado, eds. IUTAM Symposium on Intelligent Multibody Systems – Dynamics, Control, Simulation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00527-6.

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Multibody system simulation: Numerical methods, algorithms, and software. Springer-Verlag, 1999.

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Sharf, I. An iterative approach to multibody simulation dynamics suitable for parallel implementation. Institute for Aerospace Studies, University of Toronto, 1994.

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Jalón, Javier García de. Kinematic and dynamic simulation of multibody systems: The real-time challenge. Springer-Verlag, 1994.

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Coutinho, Murilo G. Dynamic Simulations of Multibody Systems. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3476-8.

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Book chapters on the topic "Multibody Dynamics Simulation"

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Paris, Jascha Norman, Jan-Lukas Archut, Mathias Hüsing, and Burkhard Corves. "Haptic Simulation of Mechanisms." In Multibody Dynamics 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23132-3_15.

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Anderl, Reiner, and Peter Binde. "Motion-Simulation (Multibody Dynamics)." In Simulations with NX. Carl Hanser Verlag GmbH & Co. KG, 2014. http://dx.doi.org/10.3139/9781569904800.002.

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Roberson, Robert E., and Richard Schwertassek. "Computer Simulation." In Dynamics of Multibody Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-86464-3_14.

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Kontak, Max, Melven Röhrig-Zöllner, Johannes Hofmann, and Felix Weiß. "Automatic Differentiation in Multibody Helicopter Simulation." In Multibody Dynamics 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23132-3_64.

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Jain, Abhinandan. "DARTS - Multibody Modeling, Simulation and Analysis Software." In Multibody Dynamics 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23132-3_52.

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Roller, Michael, Christoffer Cromvik, and Joachim Linn. "Robust and Fast Simulation of Flexible Flat Cables." In Multibody Dynamics 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23132-3_25.

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Angeli, Andrea, Frank Naets, and Wim Desmet. "A Machine Learning Approach for Minimal Coordinate Multibody Simulation." In Multibody Dynamics 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23132-3_50.

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Zahariev, E. "Multibody System Contact Dynamics Simulation." In Virtual Nonlinear Multibody Systems. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0203-5_23.

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Schiehlen, Werner, and Peter Eberhard. "Multibody Systems and Applied Dynamics." In Simulation Techniques for Applied Dynamics. Springer Vienna, 2008. http://dx.doi.org/10.1007/978-3-211-89548-1_1.

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Schulze, Andreas, Johannes Luthe, János Zierath, and Christoph Woernle. "Investigation of a Model Update Technique for Flexible Multibody Simulation." In Multibody Dynamics 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23132-3_30.

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Conference papers on the topic "Multibody Dynamics Simulation"

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Lin, Shih-Tin, and Jhy-Hong Lin. "Simulation of Multibody Dynamics in Autocad." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dac-1047.

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Abstract A general purpose multibody dynamics algorithm is written and merged into AutoCAD. This merger creates a user friendly environment for the simulation of multibody mechanical systems such as robot manipulators. Users can prepare input data of the dynamic code easily after creating an AutoCAD drawing of the multibody system. After the dynamic analysis is complete, the results can be easily used to produce animation slides in AutoCAD. The multibody dynamics algorithm uses a recursive variational formulation. This formulation has been proven to be computationally more efficient.
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Gross, Matthew, Jonathan D. Rogers, and Mark Costello. "Computational Improvements to Multibody Projectile Dynamics Simulation." In AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-2648.

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PARK, K., J. CHIOU, and J. DOWNER. "Staggered solution procedures for multibody dynamics simulation." In Orbital Debris Conference: Technical Issues andFuture Directions. American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1246.

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Lieh, Junghsen. "A Multibody Dynamics Program for Truck Simulation." In International Truck & Bus Meeting & Exposition. SAE International, 1994. http://dx.doi.org/10.4271/942303.

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LaMont, Douglas V., Jack J. Rodden, and William E. Nelson. "High-technology multibody spacecraft dynamics simulation methods." In Optical Engineering and Photonics in Aerospace Sensing, edited by Michael K. Masten and Larry A. Stockum. SPIE, 1993. http://dx.doi.org/10.1117/12.156602.

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Lips, K. W., and R. P. Singh. "Obstacles to High Fidelity Multibody Dynamics Simulation." In 1988 American Control Conference. IEEE, 1988. http://dx.doi.org/10.23919/acc.1988.4789787.

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Rakhsha, Milad, Conlain Kelly, Nic Olsen, Radu Serban, and Dan Negrut. "Multibody Dynamics vs. Fluid Dynamics: Similarities and Differences." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97999.

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Abstract In large, rigid multibody dynamics problems with friction and contact, encountered for instance in granular flows, one can witness distinctly different system-level dynamics. This contribution concentrates on the case of fluid-like behavior of large multibody dynamics systems such as granular materials, when the system experiences large strains. The results reported herein draw on computer simulation; on the one hand, we solve the Newton-Euler equations of motion, which govern the evolution of multibody dynamics system featuring frictional contact. On the other hand, we solve the Navier-Stokes equations which describe the time evolution of fluids. To demonstrate the similarities and differences between the multibody and fluid dynamics we consider three problems modeled and solved using different methods; (i) a compressibility test; (ii) the classical dam break problem, and (iii) the dam break simulation with an obstacle. These experiments provide insights into conditions under which on can expect similar characteristics from multibody and fluid dynamics systems governed by manifestly different equations of motion and solved by vastly different numerical solution methods. The models and simulation platform used are publicly available and part of an open source code called Chrono. Both the multibody and fluid dynamics simulations are carried out using GPU computing.
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Alioli, Mattia, Marco Morandini, and Pierangelo Masarati. "Coupled Multibody-Fluid Dynamics Simulation of Flapping Wings." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12198.

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This paper deals with the coupled structural and fluid-dynamics analysis of flexible flapping wings using multibody dynamics. A general-purpose multidisciplinary multibody solver is coupled with a computational fluid dynamics code by means of a general-purpose, meshless boundary interfacing approach based on Moving Least Squares with Radial Basis Functions. The general-purpose, free software multibody solver MBDyn is used. A nonlinear 4-node shell element has been used for the structural model. The fluid dynamics code is based on a stabilized finite element approximation of the unsteady Navier-Stokes equations. The method (often referred to in the literature as G2 method) has been implemented within the programming environment provided by the free software project FEniCS, a collection of libraries specifically designed for the automated and efficient solution of differential equations. FEniCS provides extensive scripting capabilities, with a domain-specific language for the specification of variational formulations of Partial Differential Equations that is embedded within the programming language Python. This approach makes it possible to easily and quickly build complex simulation codes that are, at the same time, extremely efficient and easily adapted to run in parallel. The coupling of the multibody and Navier-Stokes codes is strictly enforced at each time step. The fluid dynamics discretization is automatically refined to keep the error on the overall lift and drag coefficients below a user-defined tolerance. The method is first tested by computing the drag force of a non-oscillating NACA 0012 airfoil traveling in air. Subsequently, the drag and lift forces on a rigid and flexible oscillating NACA 0012 wing are compared with experimental data. Encouraging results obtained from the modeling and analysis of the dynamics and aeroelasticity of flexible oscillating wing models confirm the ability of the structural and fluid dynamics models to capture the physics of the problem.
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LaMont, Douglas V., Jack J. Rodden, and William E. Nelson. "High-TEC multibody spacecraft dynamics simulation methods extended." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Michael K. Masten, Larry A. Stockum, Morris M. Birnbaum, and George E. Sevaston. SPIE, 1994. http://dx.doi.org/10.1117/12.178947.

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Gonza´lez, Francisco, Manuel Gonza´lez, and Javier Cuadrado. "Weak Coupling of Multibody Dynamics and Block Diagram Simulation Tools." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86653.

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Dynamic simulation of complex mechatronic systems can be carried out in an efficient and modular way making use of weakly coupled co-simulation setups. When using this approach, multirate methods are often needed to improve the efficiency, since the physical components of the system usually have different frequencies and time scales. However, most multirate methods have been designed for strongly coupled setups, and their application in weakly coupled co-simulations is not straightforward due to the limitations enforced by the commercial simulation tools used for mechatronics design. This work describes a weakly coupled multirate method applied to combine a block diagram simulator (Simulink) with a multibody dynamics simulator in a co-simulation setup. A double-mass triple-spring system with known analytical solution is used as test problem in order to investigate the behavior of the method as a function of the frequency ratio (FR) of the coupled subsystems. Several synchronization schemes (fastest-first and slowest-first) and interpolation/extrapolation methods (polynomials of different order and smoothing) have been tested. Results show that the slowest-first methods deliver the best results, combined with a cubic interpolation (for FR &amp;lt; 25) or without interpolation (for 25 &amp;lt; FR &amp;lt; 50). For FR &amp;gt; 50, none of the tested methods can deliver precise results, although smoothing techniques can reduce interpolation errors for certain situations.
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Reports on the topic "Multibody Dynamics Simulation"

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Kubota, Tetsuya, Eiichi Yagi, Moriyuki Sakamoto, and Hideto Yoshitake. Analysis on Motorcycle Turning with Multibody Dynamic Simulations. SAE International, 2005. http://dx.doi.org/10.4271/2005-32-0010.

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Sakamoto, Moriyuki, Eiichi Yagi, Tetsuya Kubota, Hiroshi Takata, and Takeshi Tadokoro. Analysis on Sport All-Terrain Vehicle Jumping with Multibody Dynamic Simulations. SAE International, 2005. http://dx.doi.org/10.4271/2005-32-0013.

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