Journal articles: 'Dynamic influence model'

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Mindila, Agnes, Anthony Rodrigues, Dorothy McCormick, and Ronald Mwangi. "ICT Powered Strategic Flexibility System Dynamic Model." International Journal of System Dynamics Applications 3, no. 1 (January 2014): 90–110. http://dx.doi.org/10.4018/ijsda.2014010105.

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Resource-Based View (RBV) of the firm in strategic management literature focuses on firm internal endowments in terms of resources, capabilities and dynamic capabilities for their development. By establishing a learning mechanism, where they are able to adapt and influence the environment, enterprises build a dynamic competence and sustainable competitive advantage. This paper posits that this dynamic competence or strategic flexibility as referred to by strategic management scholars is a phenomenon that needs to be understood by scholars and practitioners in MSEs so that effective intervention programs can be designed. The paper argues that by treating strategic flexibility as a CAS provides a methodology within which models based on known theories in strategic management are employed and tested using system dynamics. The paper also posits that System Dynamics (SD) modeling is a good modeling methodology that captures the dynamism in a CAS. The paper therefore presents a conceptual model for strategic flexibility and a system dynamic model that reveals the variables in play and their relationships. In so doing the paper exposes influence points in the CAS that act as intervention points by practitioners in strategic flexibility of firms. The paper presents ICTs as interventions at the influence points and presents a generic strategic flexibility system dynamic model that brings to play the impact of ICT.

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Chen, Tian Li, Jing Zeng, Yao Hui Lu, and Li Min Zhang. "Vibration Transfer Analysis of High Speed Train Considering Car body Flexibility." Advanced Materials Research 605-607 (December 2012): 1168–71. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1168.

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In order to research the influence of the flexible car body on the vehicle system dynamic performance and to achieve the reasonable match between high speed and lightweight，it is necessary to build vehicle system dynamic model with the rigid car body replaced by the flexible car body. Due to the lower structure natural vibration frequency of car body, the influence of carbody flexibility on vehicle system dynamic performance is more influential. The influences of structural vibration of car body on vehicle system dynamics performance were studied by finite element analysis (FEA) method and multi-body system (MBS) dynamics theory. Rigid-flexible coupled vehicle system dynamic models were built up and the car body key location’s vibration was analyzed through vibration transmission chain. The results show that the influences of high speed carbody structure vibration on vehicle system dynamics performance are distinguished especially in the domain of car body natural vibration frequency.

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Ni, Hong, Li Xing Sun, and Zhi Xuan Zhang. "The Computational Multi-Body Dynamics for Motorcycle on its Oscillation Properties." Applied Mechanics and Materials 373-375 (August 2013): 76–83. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.76.

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Based on 3D digital model of motorcycle constructed in UGNX, motorcycle multi-body model was established for dynamic behavior analysis under inbuilt assembling of coefficient matrix of dynamical equation in computation code of ADAMS. Through the comparison of simulation analysis for dynamics of different models in accelerations in time and frequency domains, it is concluded that realistic multi-body model better represents the dynamic behavior of motorcycle while simplified one with less physical parameters only provides qualitative analysis for the dynamic behavior. The simulation results shows that model IV with accurate parameters of components influences the dynamic response of frame, simplified models could not represent the influence of mass and inertia moment of subsystems on dynamic behavior, which means advanced motorcycle multi-body improves simulation effectiveness and approximates the dynamic behavior of motorcycle well so that the simulation developed to replace experiments in bad working conditions will promote the advancement of engineering.

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Liu, Zhipeng, Dechang Pi, and Yehong Wu. "The Dynamic Influence Graph Model on Mobile Datasets." International Journal of Database Theory and Application 8, no. 5 (October 31, 2015): 285–92. http://dx.doi.org/10.14257/ijdta.2015.8.5.25.

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Lu, Xiaofeng, Xiaoming Wang, Pietro Lio’, and Pan Hui. "DADIM: A distance adjustment dynamic influence map model." Future Generation Computer Systems 112 (November 2020): 1122–30. http://dx.doi.org/10.1016/j.future.2020.06.020.

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Zeng, Y., and P. Doshi. "Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams." Journal of Artificial Intelligence Research 43 (February 27, 2012): 211–55. http://dx.doi.org/10.1613/jair.3461.

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We focus on the problem of sequential decision making in partially observable environments shared with other agents of uncertain types having similar or conflicting objectives. This problem has been previously formalized by multiple frameworks one of which is the interactive dynamic influence diagram (I-DID), which generalizes the well-known influence diagram to the multiagent setting. I-DIDs are graphical models and may be used to compute the policy of an agent given its belief over the physical state and others' models, which changes as the agent acts and observes in the multiagent setting. As we may expect, solving I-DIDs is computationally hard. This is predominantly due to the large space of candidate models ascribed to the other agents and its exponential growth over time. We present two methods for reducing the size of the model space and stemming its exponential growth. Both these methods involve aggregating individual models into equivalence classes. Our first method groups together behaviorally equivalent models and selects only those models for updating which will result in predictive behaviors that are distinct from others in the updated model space. The second method further compacts the model space by focusing on portions of the behavioral predictions. Specifically, we cluster actionally equivalent models that prescribe identical actions at a single time step. Exactly identifying the equivalences would require us to solve all models in the initial set. We avoid this by selectively solving some of the models, thereby introducing an approximation. We discuss the error introduced by the approximation, and empirically demonstrate the improved efficiency in solving I-DIDs due to the equivalences.

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Affandi, Akhmad, and Dewi Puji Astuti. "Dynamic model of Ibn Khaldun theory on poverty." Humanomics 30, no. 2 (May 6, 2014): 136–61. http://dx.doi.org/10.1108/h-05-2012-0010.

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Purpose – The purpose of this study is to examine the poverty rate of Indonesia, Malaysia and Pakistan representing majority Muslim populations and that of India as a minority Muslim population according to Ibn Khaldun's dynamic model on poverty. Design/methodology/approach – According to Ibn Khaldun, poverty is not merely influenced by economic dimensions. He initiated fundamental factors, as mentioned in his formula, which are the functions of Wealth of the Nation, Government, Human Resource, Shariah, Growth and Justice. This study generates secondary data covering the period from 2000 to 2010 or after the financial crisis of 1997. These data were generated using the Panel method. Findings – The findings of this study reveal that the dynamic model of Ibn Khaldun significantly influenced the level of poverty in Indonesia as a Muslim-majority population, whereas in Pakistan, only the human development index variable has a significant influence. Meanwhile, like Malaysia, in India, the dynamic model of Ibn Khaldun did not have significant influence. Research limitations/implications – Each country has certain characteristics and background with respect to economic growth, government policy and population that might influence poverty. As a result, the application of Ibn Khaldun's model varies accordingly. Practical implications – The findings reveal that quite a few challenges lie ahead in applying Ibn Khaldun's model in these countries. This needs to be taken on promptly by each country, especially Muslim countries. Originality/Value – This paper is one of the few studies which use Ibn Khaldun' theory on poverty using panel data to investigate the appropriateness of the model.

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Callaghan, Jack P., Kiera Keown, and David M. Andrews. "Influence of dynamic factors on calculating cumulative low back loads." Occupational Ergonomics 5, no. 2 (November 2, 2005): 89–97. http://dx.doi.org/10.3233/oer-2005-5202.

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This study examined the error induced in estimating cumulative low back loading for exposure to dynamic manual materials handling tasks by using either static or quasi-dynamic biomechanical models when compared to a dynamic model. Ten male subjects performed three sagittal plane lifting tasks at three different lifting speeds and using three different hand loads. Digitized video recordings and measured hand forces were collected in order to calculate cumulative L4/L5 spinal loading (compression, moment, joint shear, and reaction shear) using rigid link and single muscle equivalent biomechanical models. Cumulative loading was calculated using three modeling approaches: static, quasi-dynamic, and dynamic. The calculation of cumulative loading using the dynamic model was set as the "gold standard" and error in the static and quasi-dynamic approaches was determined by comparison with the dynamic model. The use of a quasi-dynamic model resulted in an average error of −2.76% across all 10 subjects, 3 tasks, 3 lifting speeds and 3 masses. The static model had an average error of −12.55%. The error in both modeling approaches was significantly effected by the type of task performed, mass lifted, speed of lift, and model variable examined indicating that neither model produced consistent errors across the lifting parameters. The small errors associated with the quasi-dynamic model indicates that it holds promise as a method to reduce the amount of data required to estimate cumulative loading yet still preserve the dynamic loading exposure of a manual materials handling task.

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Chung, D. C., S. C. Niranjan, J. W. Clark, A. Bidani, W. E. Johnston, J. B. Zwischenberger, and D. L. Traber. "A dynamic model of ventricular interaction and pericardial influence." American Journal of Physiology-Heart and Circulatory Physiology 272, no. 6 (June 1, 1997): H2942—H2962. http://dx.doi.org/10.1152/ajpheart.1997.272.6.h2942.

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A mathematical model describing the dynamic interaction between the left and the right ventricle over the complete cardiac cycle is presented. The pericardium-bound left and right ventricles are represented as two coupled chambers consisting of the left and right free walls and the interventricular septum. Time-varying pressure-volume relationships characterize the component compliances, and the interaction of these components produces the globally observed ventricular pump properties (total chamber pressure and volume). The model 1) permits the simulation of passive (diastolic) and active (systolic) ventricular interaction, 2) provides temporal profiles of hemodynamic variables (e.g., ventricular pressures, volumes, and flow) that agree well with reported observations, and 3) can be used to examine the effect of the pericardium on ventricular interaction and ventricular mechanics. It can be reduced to equivalency with models previously reported by invoking simplifying assumptions. Furthermore, model-generated "dynamic interaction gains" are employed to quantify the mode and degree of ventricular interaction. The model also yields qualitative predictions of septal and free wall displacements similar to those detected experimentally via M-mode echocardiography. Such analogies may be extended easily to the study of pathophysiological states via appropriate modifications to 1) the pressure-volume characteristics of the component walls (and/or pericardium) and/or 2) the specific time course of activation of the ventricular free wall or the septum. A limited number of examples are included to demonstrate the utility of the model, which may be used as an adjunct to new experimental investigations into ventricular interaction.

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Hou, Guo An, and Tao Sun. "Influence of FTS's Dynamic Character on the Machining Error." Key Engineering Materials 579-580 (September 2013): 580–83. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.580.

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Fast tool servo (FTS) is widely utilized to fabricate optical freeform surfaces with nanometric surface roughness and with sub-micrometric form errors. FTSs dynamics character plays the major part in many factors that influence machining error. In this paper, a dynamic model for FTS is built up to describe its dynamic and to analyze the effects on machining error under different work frequencies. It was found that FTS dynamic mainly affect the Y direction machining accuracy of the workpiece surface, with the increase of the working frequency of FTS, the error caused by FTS dynamic also increases rapidly.

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Wang, Jianhong, Teik C. Lim, and Liding Yuan. "Spur gear multi-tooth contact dynamics under the influence of bearing elasticity and assembly errors." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 11 (February 19, 2013): 2440–55. http://dx.doi.org/10.1177/0954406213477816.

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A numerical model is formulated to analyze the tooth contact dynamic load distribution and dynamic transmission error of a pair of spur gears under the influence of bearing elasticity and gearbox assembly errors. In the proposed model, the deformation of the tooth is computed by applying a combination of finite elements and contact mechanics. The elasticity of the bearings is represented with infinitesimal linear spring elements, while the shafts and gears except the teeth that are in engagement are assumed to be rigid bodies. Applying those assumptions, three sets of highly coupled governing equations representing the meshing teeth flexible behavior, gear-bearing assembly translation dynamics and gear rotation dynamics are derived. The resultant model is then used to predict the dynamical behaviors of the geared rotor system, tooth contact dynamic load, and dynamic transmission error. A set of parametric studies is also performed to analyze the gear dynamic response.

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Liu, Siqi, and Junqiang Bai. "Exploration of high-altitude dynamic soaring based on six-degree-of-freedom model." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 4 (August 2021): 703–11. http://dx.doi.org/10.1051/jnwpu/20213940703.

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Dynamic soaring is an emerging flight range-extension technology that effectively reduces UAV's energy consumption by deriving wind energy from lateral gradient wind fields. Comparing with the small UAV's near the surface, the application of dynamic soaring technology in the high-altitude long-endurance flight requires the additional consideration of the influence of sustained side wind, the influence of the sideslip angle cannot be ignored. This puts higher requirements on the flight dynamics model. In this paper, the dynamic model for the high-altitude dynamic soaring based on the six-degree-of-freedom equation is modeled to replace the traditional mass point model; the energy change principle of the high-altitude dynamic gliding is derived; the effect of the high-altitude wind field on the dynamic soaring UAV is analyzed; and the way to get optimal wind field energy acquisition and energy saving efficiency are analyzed. The results show that the dynamics model based on the six-degree-of-freedom equation can more realistically reflect at high altitude; the application of dynamic soaring can effectively improve the range of the high-altitude UAV; the wind direction at high-altitude wind field has a significant effect on the dynamic soaring efficiency.

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Wang, Rui, and Qingmei Tan. "Dynamic Model of Port Throughput's Influence on Regional Economy." Journal of Coastal Research 93, sp1 (September 23, 2019): 811. http://dx.doi.org/10.2112/si93-114.1.

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Yonghao, Jia, and Chen Xiulong. "Dynamic response analysis for multi-degrees-of-freedom parallel mechanisms with various types of three-dimensional clearance joints." International Journal of Advanced Robotic Systems 18, no. 3 (May 1, 2021): 172988142110177. http://dx.doi.org/10.1177/17298814211017716.

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For spatial multibody systems, the dynamic equations of multibody systems with compound clearance joints have a high level of nonlinearity. The coupling between different types of clearance joints may lead to abundant dynamic behavior. At present, the dynamic response analysis of the spatial parallel mechanism considering the three-dimensional (3D) compound clearance joint has not been reported. This work proposes a modeling method to investigate the influence of the 3D compound clearance joint on the dynamics characteristics of the spatial parallel mechanism. For this purpose, 3D kinematic models of spherical clearance joint and revolute joint with radial and axial clearances are derived. Contact force is described as normal contact and tangential friction and later introduced into the nonlinear dynamics model, which is established by the Lagrange multiplier technique and Jacobian of constraint matrix. The influences of compound clearance joint and initial misalignment of bearing axes on the system are analyzed. Furthermore, validation of dynamics model is evaluated by ADAMS and Newton–Euler method. This work provides an essential theoretical basis for studying the influences of 3D clearance joints on dynamic responses and nonlinear behavior of parallel mechanisms.

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Chen, Danfeng, Junsheng Li, and Yuping Cai. "Topology Identification of the Hindmarsh-Rose Model via Deterministic Learning." Journal of Physics: Conference Series 2188, no. 1 (February 1, 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2188/1/012004.

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Abstract In this paper, the complex dynamic behavior of the Hindmarsh-Rose (HR) model which characterizes the neuron cell is analyzed numerically. And the unknown topology of the system in dynamic environment is locally accurately identified based on the deterministic learning (DL) algorithm. Firstly, the influence of different parameters on the dynamic behavior of the HR model are investigated. Then, the nonlinear dynamics of the HR model under unknown dynamic environment is locally accurately identified. In addition, the identified system dynamics can be stored in the form of constant neural network. The achievement of this work can provide more incentives and possibilities for the application of HR model in clinic and other related researches. Simulation studies are included to demonstrate the effectiveness.

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Zhang, Xian, Tao Tao, Gedong Jiang, Xuesong Mei, and Chuang Zou. "A Refined Dynamic Model of Harmonic Drive and Its Dynamic Response Analysis." Shock and Vibration 2020 (June 29, 2020): 1–13. http://dx.doi.org/10.1155/2020/1841724.

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To highlight the key factors which influence the dynamic performance of the harmonic drive, a refined harmonic drive model considering nonlinear stiffness, kinematic error, and friction of the critical components is established. A dedicated experimental apparatus based on double motor twisting is constructed to measure the characteristics of harmonic drive, and the attribute parameters of the proposed model are identified. A series of experiments on the dynamic transmission error at different driving velocities are carried out to verify the proposed model. Based on the proposed model, the influence of different component stiffness on the velocity step response of the harmonic drive is analyzed. The results show that the influence of the component stiffness on the system dynamic response is more significant at high driving velocity, the increase of the stiffness of each component will decrease the dynamic transmission accuracy of harmonic drive, and the bearing radial stiffness is the most sensitive parameter to system’s dynamic response among all the stiffness factors.

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Bieńkowska, Agnieszka, and Katarzyna Tworek. "Job Performance Model Based on Employees’ Dynamic Capabilities (EDC)." Sustainability 12, no. 6 (March 13, 2020): 2250. http://dx.doi.org/10.3390/su12062250.

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This article concerns the newly developed construct—EDC (Employees’ Dynamic Capabilities)—and the mechanism of its influence on the job performance of contemporary employees aiming to contribute to the sustainable development of organizations. EDC seems to be especially important in a modern, dynamically changing work environment, in which obtaining sustainability is not possible without dynamic capabilities, and EDC should be included as the element of organizational dynamic capabilities. The paper aims to define and characterize EDC and then develop a mediation model of EDC influence on job performance, introducing the person–job fit, work motivation, job satisfaction, work engagement and organizational commitment as potential mediators related to sustainable development. The model is empirically verified based on the sample of 550 employees from Poland and USA (research carried out in December 2018) using factors analysis for verification of EDC as a new construct and then regression analysis with mediators for the verification of the proposed model. The results confirmed the role of person–job fit, work motivation, job satisfaction and work engagement as mediators of the analyzed relation, underlining the mechanism of the EDC influence on job performance. The empirical research confirms that EDC influences job performance in a way that is crucial for achieving sustainable development of organizations.

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Diot, S., A. Gavrus, D. Guines, and E. Ragneau. "Model of dynamic compression tests on hydraulic testing machines: Influence of dynamic phenomena." Journal de Physique IV (Proceedings) 110 (September 2003): 391–96. http://dx.doi.org/10.1051/jp4:20020725.

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Al-Solihat, M. K., S. Rakheja, and A. K. W. Ahmed. "Influence of tyre pressure on an urban bus transient and steady state handling performance." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 224, no. 7 (May 14, 2010): 893–908. http://dx.doi.org/10.1243/09544070jauto1402.

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The influence of the variation in the tyre inflation pressure on the steady state and transient handling dynamics of an urban bus are investigated through analysis of a three-dimensional (3D) vehicle model. A five-degrees-of-freedom handling dynamic model of the bus is formulated incorporating the non-linear models of the suspension components and the tyre. The vertical stiffness properties of the tyre are characterized through a regression model under normal load and the inflation pressure that was formulated on the basis of the laboratory measured data. The available tyre data on the cornering properties of tyres are analysed to derive a modified ‘magic formula’ for predicting the cornering properties as functions of the inflation pressure and the normal load. The proposed model responses showed reasonably good agreement with the available measured data over ranges of the inflation pressures and normal loads. The 3D handling dynamic model was subsequently analysed under sinusoidal and ramp-step steering inputs to study the influence of the tyre pressure on the steady state and transient handling responses. The results show notable influences of the tyre pressures on both the steady state and the transient handling properties.

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MANTZARIS, ALEXANDER V., and DESMOND J. HIGHAM. "A model for dynamic communicators." European Journal of Applied Mathematics 23, no. 6 (July 26, 2012): 659–68. http://dx.doi.org/10.1017/s0956792512000186.

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We develop and test an intuitively simple dynamic network model to describe the type of time-varying connectivity structure present in many technological settings. The model assumes that nodes have an inherent hierarchy governing the emergence of new connections. This idea draws on newly established concepts in online human behaviour concerning the existence of discussion catalysts, who initiate long threads, and online leaders, who trigger feedback. We show that the model captures an important property found in e-mail and voice call data – ‘dynamic communicators’ with sufficient foresight or impact to generate effective links and having an influence that is grossly underestimated by static measures based on snaphots or aggregated data.

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Yuan, Ying Cai, Yan Li, and Yi Ming Wang. "Study on the Pair’s Characteristics of Web Press’s Fold System in High Speed." Advanced Materials Research 311-313 (August 2011): 1398–403. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.1398.

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In high speed, the web press’s fold mechanism appears nonlinear dynamic response characteristics, which seriously affect the fold system’s stability and precision. The clearance and roller’s deformation are the main factors to cause the nonlinear dynamic response. To study the influence of clearance and roller’s deformation, the hypothesis of rigid role and spring combination is put forward. Based on the hypothesis, the dynamics model of fold system with clearance is established by kinematics and dynamics analysis. Through the dynamics model of fold system, the situation of pair clearance and roller’s deformation can be obtained, and the influence to the dynamic performance of fold system can be easily got.

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Su, Qingdong, Jinjin Wang, Mingxia Yan, Zhensheng Sun, Bailin Zha, and Weifeng Huang. "The dynamic model of the high-thrust orbital maneuvering engine with storable propellant." Journal of Physics: Conference Series 2364, no. 1 (November 1, 2022): 012014. http://dx.doi.org/10.1088/1742-6596/2364/1/012014.

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Abstract The storable propellant rocket engine has the advantages of long-term storage and rapid use. A new design of a large-thrust orbital maneuvering engine is proposed for the first time and the dynamic model for working process is established by the multi-disciplinary dynamics simulation software AMEsim. The accurate model parameters of hydraulic and combustion components are obtained through actual unit tests. The dynamic characteristics of the engine are calculated and evaluated in detail, and the results show that the system has good robustness to disturbance parameters. The fluctuation of the propellant tank pressure has little influence on operating parameters. The peak pressure of the water hammer, especially at the tank outlet pipe, is about 17 times higher than the stable state. The starting sequence influences working conditions of the mixing ratio regulator and the thrust chamber for less than 0.1s, and has no influence on the stable working state of the engine. The research provides an effective method for designing a high-thrust orbital maneuvering engine system, which has broad prospects in low-Earth orbit transportation and military missions.

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Toledo, Camila, Enrique Muñoz, and Mauricio Zambrano-Bigiarini. "Comparison of Stationary and Dynamic Conceptual Models in a Mountainous and Data-Sparse Catchment in the South-Central Chilean Andes." Advances in Meteorology 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/526158.

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In recent years, it has been documented that climatic variability influences hydrological processes; however, these influences, such as hydrologic dynamics, have not yet been incorporated into models, which have been assumed as stationary with regard to climatic conditions. In this study, the temporal variability of hydrological processes and their influence on the water balance of a mountainous and data-sparse catchment in Chile are observed and modeled through the comparison of a stationary (time-invariant parameters) and dynamic (time-variant parameters) model. Since conceptual models are the most adequate option for a data-scarce basin, a conceptual model integrated with the Monte Carlo Analysis Toolbox is used to perform the analyses. Simple analyses aimed at increasing the amount of information obtained from models were used. The General and Dynamic Identifiability Analyses were used to perform stationary and dynamic calibration strategies, respectively. As a result we concluded that the dynamic model is more robust than the stationary one. Additionally, DYNIA helped us to observe the temporal variability of hydrological processes. This analysis contributed to a better understanding of hydrological processes in a data-sparse Andean catchment and thus could potentially help reduce uncertainties in the outputs of hydrological models under scenarios of climate change and/or variability.

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Liang, Jianwen, Bing Han, Jia Fu, and Run Liu. "Influence of site dynamic characteristics on dynamic soil-structure interaction: Comparison between 3D model and 2D models." Soil Dynamics and Earthquake Engineering 108 (May 2018): 79–95. http://dx.doi.org/10.1016/j.soildyn.2018.02.011.

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Novotný, Pavel, Peter Raffai, Jozef Dlugoš, Ondřej Maršálek, and Jiří Knotek. "Role Of Computational Simulations In The Design Of Piston Rings." Journal of Middle European Construction and Design of Cars 13, no. 1 (June 1, 2015): 1–6. http://dx.doi.org/10.1515/mecdc-2015-0001.

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Abstract The paper presents computational approaches using modern strategies for a dynamic piston ring solution as a fluid structural problem. Computational model outputs can be used to understand design parameter influences on defined results of a primarily integral character. Piston ring dynamics incorporates mixed lubrication conditions, the influence of surface roughness on oil film lubrication, the influence of ring movement on gas dynamics, oil film formulation on a cylinder liner and other significant influences. The solution results are presented for several parameters of SI engine piston rings.

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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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Zhao, Chunxue. "Dynamic Traffic Network Model and Time-Dependent Braess’ Paradox." Discrete Dynamics in Nature and Society 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/802129.

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We propose a dynamic traffic network model and give the equilibrium condition and the equivalent variational inequality of the network. In this model, instead of the influence of inflow rate and output rate on the link congestion, the influence of the adjacent links at the same paths is considered; in this case, the equivalence between the equilibrium condition and the variational inequality is proved. Then we take an example about the paradox using the variational inequality and find that the probability and the severity that Braess’ paradox occurs change with the influence of other links changing. Subsequently, we discuss the influence of other links on whether the adding link works under the dynamic system optimal. At last, we give the relationship between the total congestion under dynamic user equilibrium and that under dynamic system optimal. The results imply that we should take some methods and adjust the interaction between links rationally with the dynamic change of traffic situations.

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Li, Meizi, Yang Xiang, Qian Zhang, and Bo Zhang. "A Community Related Influence Evaluation Model for Social Networks with a Dynamic Perspective." Mathematical Problems in Engineering 2018 (July 11, 2018): 1–17. http://dx.doi.org/10.1155/2018/8697275.

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The nature of free information diffusion and sharing in social networks (SNs) has increasingly attracted users to gather in communities to facilitate communication, resulting in increased challenges to community influence analysis in SNs. In SNs, the ability to evaluate how a community affects other users and communities is essential for further applications. Although considerable effort has been expended on the influence evaluation of individuals, little attention has been paid to influence evaluation of the community as a whole—particularly when considering the inherent features of dynamic changes of influence over time. This paper proposes a community related influence evaluation model with a dynamic perspective (D-CIEM) that reflects two types of influence, entity influence and community-initiated influence, by considering dynamic effects over time. Our work includes the following main points: first, we address the framework of D-CIEM and its related formal definitions; then, we propose dynamic entity influence evaluation in D-CIEM, i.e., user influence and community influence evaluation with dynamic factors. We present community-initiated dynamic influence evaluation methods, including methods to calculate community influence for internal and external users and for other communities. Finally, we provide evaluation results to verify the performance of our model.

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Ying, Zheng, and Ying Lin Ke. "Modeling and Simulation of Aligning Process for Alignment Mechanism of Large Aircraft Component." Applied Mechanics and Materials 160 (March 2012): 351–55. http://dx.doi.org/10.4028/www.scientific.net/amm.160.351.

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The dynamic performance of alignment mechanism of large aircraft component is directly associated with the structure and clearance of spherical joints. To accurately evaluate this influence, kinematic and dynamic models of spherical joints are developed. Firstly, a kinematic model of spherical joints is established. Secondly, a dynamic model of spherical joints is derived from the kinematic model and continuous contact force model. Finally, simulations of alignment mechanism of large aircraft component are carried out for typical moving trajectories. The influences of moving trajectory on the dynamic performance of mechanism are analysed. The simulation results are also applicable to similar mechanism design, moving trajectory planning and kinematic joint wear forecasting.

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Vo, Van Bien, Van Phuc Ta, and Martin Macko. "Effect of Some Structural Parameters on Firing Stability of Shooter-Weapon System." Advances in Military Technology 16, no. 2 (July 2, 2021): 235–51. http://dx.doi.org/10.3849/aimt.01487.

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This article presents a method to establish the dynamic model of the Shooter-weapon system when firing based on Lagrange’s theorem and the theory of multibody system dynamics, in which the influence of the human body was taken into account. In the dynamic model, the influence of the gunner is solved by using elastic-damping links in the x, y and z axes. The dynamic model is created for a portable gas-operated submachine gun and contains three solids with seven degrees of freedom. The 7.62 mm AKM submachine gun has been used for the model simulation and experimental verification. The dynamic simulation was conducted and then the results were compared with the corresponding experimental data. The model simulation results are very close to the experimental results. This study aims to survey the influence of various parameters on gun stability in the shooting. It is possible to apply these results to portable automatic guns.

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Jenkins, H. E., T. R. Kurfess, and S. J. Ludwick. "Determination of a Dynamic Grinding Model." Journal of Dynamic Systems, Measurement, and Control 119, no. 2 (June 1, 1997): 289–93. http://dx.doi.org/10.1115/1.2801248.

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In precision abrasive machining, it is important to control process variables such as the material removal rate, normal force and power input, as these factors influence surface finish, dimensional precision, and material damage. In this research, a linear grinding process model, with enhancements over past models, is developed relating normal force to material removal rates. Two experimental procedures for the determination of the grinding model’s parameters are presented. Simulations are performed to validate the grinding model. The determined model is found to be a valid representation of the grinding process that should prove useful in adaptive control with real-time parameter estimation.

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Yang, Yanbo, and Yan Peng. "Theoretical Model and Experimental Study of Dynamic Hot Rolling." Metals 11, no. 9 (August 26, 2021): 1346. http://dx.doi.org/10.3390/met11091346.

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At present, the commonly used hot rolling model is only applicable to the static rolling process. However, to study the dynamic rolling process, a dynamic rolling model with roll vertical movement velocity parameters is required. In this study, the influence of the vertical movement velocity of the rolls on the rolling process is considered, and a dynamic rolling process model is proposed when the roll gap is reduced during the hot rolling dynamic rolling process. Mathematically, the model is based on the upper limit method. The model considers the influence of the dynamic rolling process on the length of the deformation zone, establishes a dynamic velocity field model and an average deformation rate model, and then solves the total power of the rolling process. Finally, the dynamic rolling force equation is given. Compared with the experimental results, the dynamic rolling model in this paper has high accuracy with an average error of 4%. In addition, the influence of roll vertical velocity on rolling parameters is discussed, which provides a basis for the study of the dynamic rolling process.

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Wrana, Bogumił, and Natalia Pietrzak. "INFLUENCE OF INERTIA FORCES ON SOIL SETTLEMENT UNDER HARMONIC LOADING." Studia Geotechnica et Mechanica 35, no. 1 (March 1, 2013): 245–58. http://dx.doi.org/10.2478/sgem-2013-0019.

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Abstract The paper deals with the comparison of Biot’s model for saturated, porous soils with other simplified models used in dynamic analysis. The purpose of this paper is to determine some limits of validity of the various models. In order to do this a full set of governing, dynamic equations of Biot model and a series of simplifying models such as u-p simplification and quasi-static consolidation models are considered. These formulations are applied to a simple soil layer under periodic surface loading. A displacement of skeleton and a displacement of fluid are shown and compared with each model for various formulations.

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Calvo, J. A., B. López-Boada, J. L. San Román, and A. Gauchía. "Influence of a shock absorber model on vehicle dynamic simulation." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 223, no. 2 (February 2009): 189–203. http://dx.doi.org/10.1243/09544070jauto990.

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Zhao, Ruyue. "Dynamic Prediction Model for Multi-influence Factors of Hurricane Intensity." IOP Conference Series: Earth and Environmental Science 208 (December 20, 2018): 012060. http://dx.doi.org/10.1088/1755-1315/208/1/012060.

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Wu, He, and Jian Luo. "Efficient solutions of interactive dynamic influence diagrams using model identification." Neurocomputing 216 (December 2016): 451–59. http://dx.doi.org/10.1016/j.neucom.2016.07.052.

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Gu, Can song, Zhao cheng Yuan, Zheng rui Yang, Jia xin Liu, and Hong liang Li. "Dynamic characteristics of high-speed gasoline engine turbocharger based on thermo-elasto-hydrodynamic lubrication bearing model and flexible multibody dynamics method." Science Progress 103, no. 1 (January 2020): 003685041989771. http://dx.doi.org/10.1177/0036850419897712.

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A flexible multibody dynamic calculation model based on thermo-elasto-hydrodynamic lubrication bearing model was established. This numerical simulation method provided a more realistic turbocharger calculation model and a more reliable theoretical support for studying the dynamic vibration characteristics of the floating ring bearing turbocharger system. In order to fully consider the dynamic characteristics of each component, the behavior of the floating ring bearing was described by generalized incompressible Reynolds equation in thermo-elasto-hydrodynamic lubrication model. The flexible body substructure models were established by the modal synthesis method. Based on this model, the direct mathematical model of the relationship between the eccentricity of the rotor and the oil film clearance on the turbocharger’s surface vibration was established. The influence of eccentricity and oil film thickness on the surface vibration of the turbocharger body was calculated by transient dynamics method. The results showed that the eccentricity of the rotor and the vibration of turbocharger housing were monotonic functions, but the interaction between the whirl of internal and external oil films made the mechanism of the influence of the oil film thickness on the turbocharger body’s vibration complicated. The research provided a new idea for the structural vibration and synchronous noise control of the supercharger.

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KE, Xinmeng, Fusheng LI, and Zhaowei CHEN. "Damage Model of Bridge Bearing and Its Influence on Train-Track-Bridge Dynamic System." Mechanics 28, no. 6 (December 5, 2022): 462–72. http://dx.doi.org/10.5755/j02.mech.30995.

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Bridge bearing damage is unavoidable in railway engineering. This work presents an investigation on the damage model of bridge bearing and its influence on the dynamic responses of the high-speed train-track-bridge system. Primarily, the mathematical description of bridge bearing damage model is explained in detail, which is then compared with the traditional linear model. Then a 3D train-track-bridge dynamic model considering bearing damage is established based on the train-track-bridge dynamic interaction theory. Adopting the model, the influences of single-point-damage and multi-point-damage on the dynamic behaviors of the coupled system are deeply investigated. Results show that the calculated obtained by the proposed model and the traditional linear model are different, especially in frequency-domain. Compared to results of traditional linear model, the results obtained by the proposed model are smaller due to the additional damping effect. Bridge bearing damage has almost no influence on the train vibrations, while has great effect on bridge vibrations. The damage in z-direction mainly affects the vertical vibrations, while damage in y-direction mainly influences the lateral vibrations. Among all the damaged bearings in this work, the influence of damage in x-direction has the least influence on the system. The damage in the fixed bearing is larger than that in other bearings, indicating that more attentions should be paid to the health monitoring of fixed bearings in railway engineering.

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Kozharinov, E. V. "Dynamic model of GTE bevel drive." Izvestiya MGTU MAMI 9, no. 3-4 (August 10, 2015): 94–105. http://dx.doi.org/10.17816/2074-0530-67132.

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A dynamic model of coupled torsional-bending oscillations of bevel drive is developed. By method of principal coordinates bending oscillations of bevel gear rim represented as superposition of natural forms. A frequency response of system by torque dynamic component, axial displacement and equivalent stress in gear rim are calculated. A correlation between different parameters of system’s oscillations is calculated. Resonance frequencies obtained by frequency response are compared with natural frequencies of isolated torsional and bending systems. Influence of gear profile modification on frequency response by dynamic transmission error and dynamic stresses in gear rim is studied.

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Anggraeni, Wiwik, and Danang Febrian. "AN EXPERIMENTAL STUDY ON BANK FORECASTING USING REGRESSION DYNAMIC LINIER MODEL." CCIT Journal 5, no. 1 (September 5, 2011): 32–41. http://dx.doi.org/10.33050/ccit.v5i1.486.

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Nowadays, forecasting is developed more rapidly because of more systematicaly decision making process in companies. One of the good forecasting characteristics is accuration, that is obtaining error as small as possible. Many current forecasting methods use large historical data for obtaining minimal error. Besides, they do not pay attention to the influenced factors. In this final project, one of the forecasting methods will be proposed. This method is called Regression Dynamic Linear Model (RDLM). This method is an expansion from Dynamic Linear Model (DLM) method, which model a data based on variables that influence it. In RDLM, variables that influence a data is called regression variables. If a data has more than one regression variables, then there will be so many RDLM candidate models. This will make things difficult to determine the most optimal model. Because of that, one of the Bayesian Model Averaging (BMA) methods will be applied in order to determine the most optimal model from a set of RDLM candidate models. This method is called Akaike Information Criteria (AIC). Using this AIC method, model choosing process will be easier, and the optimal RDLM model can be used to forecast the data. BMA-Akaike Information Criteria (AIC) method is able to determine RDLM models optimally. The optimal RDLM model has high accuracy for forecasting. That can be concluded from the error estimation results, that MAPE value is 0.62897% and U value is 0.20262.

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Kim, S. D., H. S. Cho, and C. O. Lee. "A Parameter Sensitivity Analysis for the Dynamic Model of a Variable Displacement Axial Piston Pump." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 201, no. 4 (July 1987): 235–43. http://dx.doi.org/10.1243/pime_proc_1987_201_115_02.

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Sensitivity analysis is applied to an investigation of the influence of parameters on the dynamics of a variable displacement axial piston pump. Since an exact mathematical model of piston pump is complex and highly non-linear, the investigation of its dynamic characteristics for the variation of the system parameters by changing separate parameter values in sequence becomes very ineffective. In this paper a parameter sensitivity analysis was employed to analyse the effects of the system parameters systematically. The analysis was done on the exact non-linear dynamic model of the pump system which is represented by fourth-order dynamics. Based upon the simulation results, the degree of influence of each parameter and the justification of order reduction are discussed in some detail.

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Agieva, Movlatkhan T., and Olga I. Gorbaneva. "Dynamic SPICE-model of resource allocation in marketing networks." Contributions to Game Theory and Management 13 (2020): 8–23. http://dx.doi.org/10.21638/11701/spbu31.2020.02.

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We consider a dynamic Stackelberg game theoretic model of the coordination of social and private interests (SPICE-model) of resource allocation in marketing networks. The dynamics of controlled system describes an interaction of the members of a target audience (basic agents) that leads to a change of their opinions (cost of buying the goods and services of firms competing on a market). An interaction of the firms (influence agents) is formalized as their differential game in strategic form. The payoff functional of each firm includes two terms: the summary opinion of the basic agents with consideration of their marketing costs (a common interest of all firms), and the income from investments in a private activity. The latter income is described by a linear function. The firms exert their influence not to all basic agents but only to the members of strong subgroups of the influence digraph (opinion leaders). The opinion leaders determine the stable final opinions of all members of the target audience. A coordinating principal determines the firms' marketing budgets and maximizes the summary opinion of the basic agents with consideration of the allocated resources. The Nash equilibrium in the game of influence agents and the Stackelberg equilibrium in a general hierarchical game of the principal with them are found. It is proved that the value of opinion of a basic agent is the same for all influence agents and the principal. It is also proved that the influence agents assign less resources for the marketing efforts than the principal would like.

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Wu, Jian, Hang Luo, Haohao Li, Benlong Su, Youshan Wang, and Zhe Li. "The Influence of Hydrothermal Aging on the Dynamic Friction Model of Rubber Seals." Polymers 12, no. 1 (January 4, 2020): 102. http://dx.doi.org/10.3390/polym12010102.

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Cylinder has become an indispensable and important pneumatic actuator in the development of green production technology. The sealing performance of the cylinder directly affects its safety and reliability. Under the service environment of the cylinder, hydrothermal aging of the rubber sealing ring directly affects the dynamic friction performance of the cylinder. So, the dynamic friction model of the cylinder has been developed based on the LuGre friction model, which considers the influence of hydrothermal aging. Here, the influences of the static friction coefficient and Coulomb friction coefficient on the friction model are analyzed. Then, the aging characteristic equation of rubber is embedded in the model for revealing the influence of aging on the friction coefficient of the model. Results show that the aging temperature, aging time, and compressive stress affects the friction coefficient; the variation of the static friction coefficient is larger than that of the Coulomb friction coefficient. The improved cylinder friction model can describe the influence of the aging process on the cylinder friction characteristics, which is of great significance in the design of the cylinder’s dynamic performance.

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Day, Mitchell L., Brent Doiron, and John Rinzel. "Subthreshold K+ Channel Dynamics Interact With Stimulus Spectrum to Influence Temporal Coding in an Auditory Brain Stem Model." Journal of Neurophysiology 99, no. 2 (February 2008): 534–44. http://dx.doi.org/10.1152/jn.00326.2007.

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Neurons in the auditory brain stem encode signals with exceptional temporal precision. A low-threshold potassium current, IKLT, present in many auditory brain stem structures and thought to enhance temporal encoding, facilitates spike selection of rapid input current transients through an associated dynamic gate. Whether the dynamic nature of IKLT interacts with the timescales in spectrally rich input to influence spike encoding remains unclear. We examine the general influence of IKLT on spike encoding of stochastic stimuli using a pattern classification analysis between spike responses from a ventral cochlear nucleus (VCN) model containing IKLT, and the same model with the IKLT dynamics removed. The influence of IKLT on spike encoding depended on the spectral content of the current stimulus such that maximal IKLT influence occurred for stimuli with power concentrated at frequencies low enough (<500 Hz) to allow IKLT activation. Further, broadband stimuli significantly decreased the influence of IKLT on spike encoding, suggesting that broadband stimuli are not well suited for investigating the influence of some dynamic membrane nonlinearities. Finally, pattern classification on spike responses was performed for physiologically realistic conductance stimuli created from various sounds filtered through an auditory nerve (AN) model. Regardless of the sound, the synaptic input arriving at VCN had similar low-pass power spectra, which led to a large influence of IKLT on spike encoding, suggesting that the subthreshold dynamics of IKLT plays a significant role in shaping the response of real auditory brain stem neurons.

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Minaev, Vladimir A., Mikhail P. Sychev, Ekaterina V. Vaits, and Konstantin M. Bondar. "System-Dynamic Modeling of Network Information Operations." Engineering Technologies and Systems, no. 1 (March 29, 2019): 20–39. http://dx.doi.org/10.15507/2658-4123.029.201901.020-039.

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Introduction. Information-technical and information-psychological influences are the main negative factors affecting the information security according to the Information Security Doctrine of the Russian Federation. Therefore, modeling, evaluating and forecasting information influences on social groups and organizing adequate information counteraction are urgent tasks of management. Materials and Methods. The system-dynamic models of information influences in social networks and groups are considered. Their application for purposes of counteraction to information terrorism and extremism is proved. The description in the form of flowcharts is given. Systems of differential equations are presented. Experiments with models using the advanced simulation platform Anylogic have been carried out. Results. In a sample of Russian settlements based on the cluster analysis there have been found homogeneous typological groups that differ in the average time of disseminating information in social networks. Based on Gibbs’s Postulate, the system-dynamic model of information influences on students has been successfully tested. Discussion and Conclusion. The high consistency of simulation results with empirical data (determination coefficients of at least 90 %) is shown. Models allow forecasting the information influence and information counteraction and playing different scenarios for the dynamics of these processes.

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Cianetti, Filippo, Luca Fabellini, Valerio Formica, and Francesco Ambrogi. "Development and validation of a simplified automotive steering dynamic model." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, no. 8 (January 9, 2021): 2188–99. http://dx.doi.org/10.1177/0954407020984668.

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This paper describes an innovative analytic/numerical method for modeling steering systems for automotive applications. Starting from a detailed literature analysis and pushed by vehicle manufacturers’ needs, a simplified steering dynamic model, characterized by few parameters, has been identified. It guarantees both the replication of the dynamic behavior of real systems, generally represented through more complex multibody models, and the reduction of the simulation time of the entire vehicle system, making it suitable for dedicated numerical computing environments, such as the, so-called, explicit multibody codes. Moreover, particular emphasis has been place on the correct evaluation of the influence of friction on steering system dynamics.

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Ren, Yafeng, Shan Chang, Geng Liu, Liyan Wu, and Teik C. Lim. "Impedance Synthesis Based Vibration Analysis of Geared Transmission System." Shock and Vibration 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/4846532.

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The severity of gear noise response depends on the sensitivity of geared rotor system dynamics to the transmission error. As gearbox design trending towards lighter weight and lower noise, the influence of housing compliance on system dynamic characteristics cannot be ignored. In this study, a gear-shaft-bearing-housing coupled impedance model is proposed to account for the effect of housing compliance on the vibration of geared transmission system. This proposed dynamic model offers convenient modeling, efficient computing, and ability to combine computed parameters with experimental ones. The numerical simulations on system dynamic characteristics are performed for both a rigid housing configuration and a flexible one. Natural frequencies, dynamic mesh forces, and dynamic bearing reaction loads are computed, and the housing compliance contribution on system dynamic characteristics is analyzed. Results show that increasing housing compliance will decrease the system natural frequencies and will affect the dynamic bearing reaction loads significantly but have very little influence on the dynamic mesh force. Also, the analysis shows that bearing stiffness has significant influence on the degree of housing contribution on system dynamic characteristics.

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Alves, André Cherubini, Denise Barbieux, Fernanda Maciel Reichert, Jorge Tello-Gamarra, and Paulo Antônio Zawislak. "INNOVATION AND DYNAMIC CAPABILITIES OF THE FIRM: DEFINING AN ASSESSMENT MODEL." Revista de Administração de Empresas 57, no. 3 (June 2017): 232–44. http://dx.doi.org/10.1590/s0034-759020170304.

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ABSTRACT Innovation and dynamic capabilities have gained considerable attention in both academia and practice. While one of the oldest inquiries in economic and strategy literature involves understanding the features that drive business success and a firm's perpetuity, the literature still lacks a comprehensive model of innovation and dynamic capabilities. This study presents a model that assesses firms' innovation and dynamic capabilities perspectives based on four essential capabilities: development, operations, management, and transaction capabilities. Data from a survey of 1,107 Brazilian manufacturing firms were used for empirical testing and discussion of the dynamic capabilities framework. Regression and factor analyses validated the model; we discuss the results, contrasting with the dynamic capabilities' framework. Operations Capability is the least dynamic of all capabilities, with the least influence on innovation. This reinforces the notion that operations capabilities as "ordinary capabilities," whereas management, development, and transaction capabilities better explain firms' dynamics and innovation.

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Luan, Lan, Guixiang Shen, Yingzhi Zhang, and Guiming Guo. "Identification of Key Components of CNC Lathe Based on Dynamic Influence of Fault Propagation." Applied Sciences 12, no. 12 (June 17, 2022): 6187. http://dx.doi.org/10.3390/app12126187.

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Identifying the key components of CNC lathe and analyzing the fault propagation behavior is a powerful guarantee for the fault diagnosis and health maintenance of CNC lathe. The traditional key component identification studies are mostly based on the feature parameter evaluation of the fault propagation model, disregarding the dynamics and influence of fault propagation. Therefore, this paper proposes a key component identification method based on the dynamic influence of fault propagation. Based on the CNC lathe architecture and fault data, the cascaded faults are analyzed. The improved Floyd algorithm is used to iterate and transform the direct correlation matrix expressing the cascaded fault information, and the fault propagation structure model of each component is constructed. The coupling degree function is introduced to calculate the dynamic impact degree between components, and the dynamic fault propagation rate of each component is calculated with the dynamic fault rate model. Based on this, the dynamic influence value of fault propagation is obtained by using the improved ASP algorithm. The key components of the system are identified by synthesizing the fault propagation structure model and the dynamic influence value of fault propagation. Taking a certain type of CNC lathe as an example, the proposed method is verified to be scientific and effective by comparing with the traditional identification method of key components based on fault propagation intensity.

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Fang, B., R. E. DeVor, and S. G. Kapoor. "An Elastodynamic Model of Frictional Contact and Its Influence on the Dynamics of a Workpiece-Fixture System." Journal of Manufacturing Science and Engineering 123, no. 3 (October 1, 2000): 481–89. http://dx.doi.org/10.1115/1.1381006.

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A model to predict the dynamics of a workpiece-fixture system has been developed based on the equivalency of the dynamic frictional contact problem with a nonlinear friction law to that of a variation inequality problem. Nonlinear finite element method has been employed to solve the problem. A series of experiments under various fixture configurations were conducted on a modular fixture test-bed to determine the dynamic characteristics of the workpiece-fixture system. Model predictions of the dynamic characteristics have been compared to those obtained from the experiments and are found to be in good agreement. It was found that frictional sliding contact at the workpiece-fixture interfaces provides damping to the system and that the nature of this contact and level of damping are highly dependent on contact forces developed through clamping. Clamping sequence was also found to be important in determining dynamic characteristics.

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Journal articles on the topic 'Dynamic influence model'

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