Relevant bibliographies by topics / Static and dynamic transmission error

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Static and dynamic transmission error'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Static and dynamic transmission error"

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Shan, Li Jun, Yu Ting Liu, and Wei Dong He. "Analysis of Nonlinear Dynamic Accuracy on RV Transmission System ." Advanced Materials Research 510 (April 2012): 529–35. http://dx.doi.org/10.4028/www.scientific.net/amr.510.529.

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RV (Rotate Vector) transmission is a new precision transmission system. In order to improve its accuracy, we study the RV transmission system. It is researched in comprehensive factors including displacement errors, elastic deformation (static transmission error, design transmission error), gear meshing errors, backlash of gear, time-varying mesh stiffness, mesh damping, bearing stiffness, torsional stiffness of input shaft, etc. The mathematical and mechanical model of dynamic transmission accuracy is established by the concentrated mass method and the dynamic substructure method. Then, the meshing force of each part is analyzed in RV reducer. The motion differential equation of RV drive system is obtained, which lays the foundation for the calculation and analysis of the transmission error.
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Chen, Si Yu, Jin Yuan Tang, and C. W. Luo. "Effects of the Gear Tooth Modification on the Nonlinear Dynamics of Gear Transmission System." Advanced Materials Research 97-101 (March 2010): 2764–69. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.2764.

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The effects of tooth modification on the nonlinear dynamic behaviors are studied in this paper. Firstly, the static transmission error under load combined with misalignment error and modification are deduced. These effects can be introduced directly in the meshing stiffness and static transmission error models. Then the effect of two different type of tooth modification combined with misalignment error on the dynamic responses are investigated by using numerical simulation method. The numerical results show that the misalignment error has a significant effect on the static transmission error. The tooth crowning modification is generally preferred for absorbing the misalignment error by comparing with the tip and root relief. The tip and root relief can not resolve the vibration problem induced by misalignment error but the crowning modification can reduce the vibration significantly.
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Tang, Jinyuan, Zehua Hu, Siyu Chen, and Duncai Lei. "Effects of directional rotation radius and transmission error on the dynamic characteristics of face gear transmission system." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 7 (August 27, 2013): 1108–18. http://dx.doi.org/10.1177/0954406213500745.

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The effects of directional rotation radius and transmission error excitation on the nonlinear dynamic characteristics of face gear transmission system are analyzed. First, the accurate time-varying mesh stiffness is calculated using finite element method, and the nonlinear motion equation of the system under static transmission error excitation is proposed. The frequency response curve, time history curve, dynamic mesh force curve and dynamic factor curve are given, and the phenomena of jump, multiple solutions and tooth impact are observed. The numerical results show that the effect of amplitude variation of directional rotation radius on the dynamic characteristics of face gear pair is less conspicuous than that of transmission error but actually existing. The amplitude of the dynamic response of face gear pair reduces to some extent with the uniform distribution of the loading area through enlarging the amplitude variation of directional rotation radius. The static transmission error excitation should be reduced to perfect the transmission property. The system is in periodic motion most of the time, and tooth impact occurs only near [Formula: see text] . Since its dynamic property at low velocity and high velocity is good, the system should get through the resonant area quickly in work.
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Dong, Hao, Libang Wang, Haoqin Zhang, and Xiao-long Zhao. "Nonlinear Frequency Response Analysis of Double-helical Gear Pair Based on the Incremental Harmonic Balance Method." Shock and Vibration 2021 (April 15, 2021): 1–20. http://dx.doi.org/10.1155/2021/6687467.

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The torsional dynamic model of double-helical gear pair considering time-varying meshing stiffness, constant backlash, dynamic backlash, static transmission error, and external dynamic excitation was established. The frequency response characteristics of the system under constant and dynamic backlashes were solved by the incremental harmonic balance method, and the results were further verified by the numerical integration method. At the same time, the influence of time-varying meshing stiffness, damping, static transmission error, and external load excitation on the amplitude frequency characteristics of the system was analyzed. The results show that there is not only main harmonic response but also superharmonic response in the system. The time-varying meshing stiffness and static transmission error can stimulate the amplitude frequency response of the system, while the damping can restrain the amplitude frequency response of the system. Changing the external load excitation has little effect on the amplitude frequency response state change of the system. Compared with the constant backlash, increasing the dynamic backlash amplitude can further control the nonlinear vibration of the gear system.
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Podzharov, Evgeny, Vladimir Syromyatnikov, Julia Patricia Ponce Navarro, and Ricardo Ponce Navarro. "Static and Dynamic Transmissin Error in Spur Gears." Open Industrial & Manufacturing Engineering Journal 1, no. 1 (October 30, 2008): 37–41. http://dx.doi.org/10.2174/1874152500801010037.

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Özgüven, H. Nevzat, and D. R. Houser. "Dynamic analysis of high speed gears by using loaded static transmission error." Journal of Sound and Vibration 125, no. 1 (August 1988): 71–83. http://dx.doi.org/10.1016/0022-460x(88)90416-6.

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Tang, Jin-yuan, Ze-hua Hu, Li-juan Wu, and Si-yu Chen. "Effect of static transmission error on dynamic responses of spiral bevel gears." Journal of Central South University 20, no. 3 (March 2013): 640–47. http://dx.doi.org/10.1007/s11771-013-1530-y.

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Li, Zheng, and K. Mao. "The Tooth Profile Modification in Gear Manufacture." Applied Mechanics and Materials 10-12 (December 2007): 317–21. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.317.

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The gear design always be focus on analyzing the static performance (strength, stress, friction) and dynamic performance (inertia, noise, vibration), and especially for dynamic, the noise and vibration of gear are big problems. Actually, the main reason of noise and vibration is transmission error between master and slave gears, but the error must exist in any manufacture process. To decrease harmful noise and vibration, the most effective method is “tooth profile modification”, which is by tip relief or root relief for modifying geometry profile of gear tooth to regulate transmission error. In the paper, the transmission error of original model and modified model will be compared to show the gear profile modification will influence the transmission error obviously.
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Chen, Zaigang, and Yimin Shao. "Dynamic features of planetary gear train with tooth errors." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 10 (September 15, 2014): 1769–81. http://dx.doi.org/10.1177/0954406214549503.

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As one of the inherited displacement excitation sources which are related to the gear vibration and noise problems, gear transmission error always consists of two parts: gear tooth geometric error and tooth elastic deformation under transmitted load. The gear tooth geometric errors were directly employed as the displacement excitations in previous papers, which are not accurate. In this paper, a new method is developed to transform the gear tooth errors (TEs) to be the appropriate dynamic excitations through the mesh stiffness and the unloaded static transmission error (USTE), where the obtained displacement excitation curves, namely the USTE curves, are very different from the TE curves. Incorporation of the proposed model into the dynamic model of a planetary gear train enables the investigation of the TE effect on the dynamic excitations and vibrations. Two groups of TEs with different amplitudes are employed in the case studies. The results verify that the micro-scale TEs influence not only the dynamic displacement excitation, but also the total mesh stiffness and the planetary gear vibrations greatly.
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Tang, Jin Yuan, Qi Bo Wang, and Cai Wang Luo. "Study on Effect of Surface Friction on the Dynamic Behaviours of Cylindrical Gear Transmission." Advanced Materials Research 139-141 (October 2010): 2316–21. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2316.

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The effect of surface friction on the dynamic response of spur gear pair is investigated in this paper. Firstly, surface friction during the mesh is described briefly, and realistic time-varying tooth stiffness and realistic static transmission error are introduced. Subsequently, the differential equation of the torsional vibration of gear transmission is developed in which the realistic time-varying stiffness and realistic static transmission error are incorporated. Finally, using the numerical simulation method, the solutions in time domain and spectrum graphs of the nonlinear system are obtained. Results show that surface friction has great influences on the dynamic responses nearby the pitch point but less influences far away the pitch point. Surface friction may also bring sudden change to the dynamic responses at pitch point when the rotational speed is low.
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Dissertations / Theses on the topic "Static and dynamic transmission error"

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Tharmakulasingam, Raul. "Transmission error in spur gears : static and dynamic finite-element modeling and design optimization." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/5100.

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The gear noise problem that widely occurs in power transmission systems is typically characterised by one or more high amplitude acoustic signals. The noise originates from the vibration of the gear pair system caused by transmission error excitation that arises from tooth profile errors, misalignment and tooth deflections. This work aims to further research the effect of tooth profile modifications on the transmission error of gear pairs. A spur gear pair was modelled using finite elements, and the gear mesh was simulated and analysed under static conditions. The results obtained were used to study the effect of intentional tooth profile modifications on the transmission error of the gear pair. A detailed parametric study, involving development of an optimisation algorithm to design the tooth modifications, was performed to quantify the changes in the transmission error as a function of tooth profile modification parameters as compared to an unmodified gear pair baseline. The work also investigates the main differences between the static and dynamic transmission error generated during the meshing of a spur gear pair model. A combination of Finite-Element Analysis, hybrid numerical/analytical methodology and optimisation algorithms were used to scrutinise the dynamic behaviour of the gear pairs under various operating conditions.
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Anandika, Muhammad Nevin. "An Experimental Investigation of the Impact of Random Spacing Errors onthe Transmission Error of Spur and Helical Gear Pairs." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574680868815187.

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Bolze, Victor Matthew. "Static and Dynamic Transmission Error Measurements and Predictions and their Relation to Measured Noise for Several Gear Sets." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1392889635.

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Oudich, Hamza. "Analytical Investigation of Planetary Gears Instabilities and the Impact of Micro-Macro Geometry Modifications." Thesis, KTH, Farkostteknik och Solidmekanik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276775.

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Due to their large torque-speed ratio and transmission efficiency, planetary gears are widely used in the automotive industry. However, high amplitude vibrations remain their critical weakness, which limits their usage especially when new strict noise legislations come into action. A new approach to handle the instability problems of planetary gears encountered in real industrial context is presented in this work. First, the dynamic response of a planetary gear failing to pass the noise regulations is theoretically investigated through an analytical model. The equations of motion were solved using the Spectral Iterative Method. The observed experimental results correlated well with those from the developed model. In order to limit the resonance phenomena, impacts of different macro and micro-geometry modifications were analytically investigated: quadratic teeth profile, different planets positioning, different number of teeth and number of planets. Optimum modifications were retrieved and are expected to be tested experimentally on a test bench and on the truck. Finally, the analytical model’s limits and sensitivity to different parameters were investigated in order to certify its reliability, and suggestions for improvements were presented.
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Henriksson, Mats. "On Noise Generation and Dynamic Transmission Error of Gears." Doctoral thesis, KTH, Farkost och flyg, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11858.

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Noise from heavy trucks is an important environmental issue. Several sources contribute to the total noise level of a vehicle, such as the engine, gearbox, tires, etc. The tonal noise from the gearbox can be very disturbing for the driver, even if the noise level from the gearbox is lower than the total noise level. The human ear has a remarkable way of detecting pure tones of which the noise from loaded gears consists of. To be allowed to sell a heavy truck within the European Union, the so called pass-by noise test must be completed successfully. The maximum noise level permitted is 80dB(A) and undercertain conditions, the gearbox can be an important contributor to the total noise level. Gear noise is therefore an important issue for the automotive industry. In this thesis gear noise and dynamic transmission error is investigated. Traditionally, transmission error (TE) is considered to be the main excitation mechanism of gear noise. The definition of TE is ”the difference between the actual position of the output gearand the position it would occupy if the gear drive were perfect”. Measurements of dynamic transmission error (DTE) and noise have been performed on a gearbox. The measurement object was a commercial truck gearbox powered by an electrical motor. The torque used was in the normal operating range of the gearbox and the correlation between gear noise and DTE, when the torque is changed, is investigated. The result differs for different gear pairs and for the first gear stage, located close to the housing, the correlation is high for most speeds. The measured DTE and noise show a poor correlation with calculated transmission error. A minimisation of TE therefore does not necessarily mean a minimisation of gear noise. A transfer function can be employed to calculate the relationship between DTE and noise. The general trend of the gear noise is an increase of 6dB per doubling of the rotational speed together with fluctuations around the mean due to resonances of the system. The magnitude of the transfer function can be estimated using the amplitudesof the gear mesh orders and harmonics. Two gear pairs with similar macro geometry but different profile modifications are investigated. Although the gear pairs have similar transmission error, the noise level display a significantly different trend, further strengt hening the position that transmission error is not the single most important gear noise excitation mechanism. Further analysis concludes that shuttling forces and friction forces can be more important than what is often suggested. A dynamic model including transmission error and shuttling forces is used to investigate the two gear pairs. The bearing forces show that for some frequency regions shuttling forces can be of the same order of magnitude as the forces caused by transmission error. This work highlights the importance of considering other excitations of gear noise besides transmission error when designing quiet gears. The influence of transmission error can not be determined by investigating the gears only. A deeper knowledge of the gear system is needed in order to minimise gear noise for a specific gear design.
QC 20100719
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REI, ANDREA DE MATTOS. "GENERATION AND TRANSMISSION SYSTEM RELIABILITY CONSIDERING STATIC AND DYNAMIC ASPECTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8616@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Tradicionalmente, as avaliações da confiabilidade composta de sistemas de potência têm enfatizado a análise de adequação, avaliando a capacidade dos sistemas de geração e transmissão em suprir todas as cargas considerando apenas os requisitos de desempenho estático. Este trabalho apresenta uma nova metodologia, que estende o conceito e as técnicas de avaliação da confiabilidade composta de modo a incluir os aspectos ligados a segurança. Isto exige a caracterização probabilística do desempenho dinâmico dos sistemas em termos da estabilidade transitória, bem como um melhor entendimento dos efeitos cascata decorrentes do desdobramento de uma seqüência de eventos. A metodologia apresentada baseia-se num processo de simulação seqüencial, que permite representar os possíveis desdobramentos de estados instáveis e especialmente os processos não-Markovianos envolvidos, como os processos de restauração. É calculado um conjunto de índices que mede o nível de segurança do sistema, e ainda permite avaliar o desempenho dos sistemas de proteção, esquemas de emergência e processos de restauração. A metodologia é aplicada ao sistema IEEE-MRTS, Permitindo identificar os fatores que mais influenciam a segurança do sistema, e ainda as relações entre os problemas de adequação e segurança.
Traditionally, bulk power reliability evaluations have concentrated on the analysis of system adequacy, the ability of the generating and the transmission systems to supplhy all loadas within performance requirements. This work presents a new methodology that extends the scope of reliability evaluations to include probabilistic assessment of system security, involving considerations of transient stability and the effects of cascading sequences. The methodology is based on a sequential simulation process which is suitable for representing the effects of system disturbances and non-Markovian processes, like the restoration process. The calculated set of reliability indices may be used to measure the security level, and to evaluate the performance of the protection systems, emergency control schemes and restoration processes. The test system IEEE-MRTS is used to illustrate the application of the proposed methodology, identifying the features that are most influent to system security, and also the relationship between adequacy and security problems.
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Shaaban, Mohamed Mohamed Abdel Moneim. "Calculation of available transfer capability of transmission networks including static and dynamic security." Thesis, Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42576817.

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Henriksson, Mats. "Analysis of dynamic transmission error and noise from a two-stage gearbox /." Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-488.

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Tsiligiannis, Georgios. "Soft Errors in Memory Devices : Novel Methods and Practices for Dynamic and Static Testing." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20241.

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La plupart des environnements naturels et artificiels présentent du rayonnement ionisant (RI) interagissant avec l'électronique. Les effets du RI sont étudies depuis longtemps surtout pour des applications de critiques et de sécurité dans le domaine de l'espace, nucléaire, militaire et médical. L'étude des effets de rayonnement sur les appareils électroniques est complexe et demande la combinaison d'une connaissance pluridisciplinaire allant de la physique nucléaire à l'architecture à haut niveau, l'électronique et la science de matériaux. La réduction de la taille des transistors et l'augmentation simultanée de la complexité des systèmes contribuent à rendre plus critiques les problématiques. En occupant la plus grande surface de systèmes sur puce, les mémoires électroniques représentent la source principale des fautes induits par la radiation. Par conséquent, la compréhension des effets du rayonnement ionisant sur les mémoires et leur atténuation sont essentielles. Ces travaux de thèse introduisent des nouvelles méthodes de test à niveau de simulation et expérimental. En particulier, à niveau de simulation, est proposée une méthodologie pour l'estimation du taux de soft erreurs (SER) des circuits électroniques. Cette méthode prend en compte les variations environnementales et paramétriques des circuits pendant leur exposition au rayonnement ionisant. La méthode est évaluée à travers le cas d'étude représentée par une cellule SRAM de technologie 40nm interagissant avec des neutrons atmosphériques. Au niveau expérimental, des nouvelles méthodes pour le test sous accélérateur de SRAMs sont présentées, tout en mettant l'accent sur les défaillances que le test dynamique peut révéler. Les méthodes proposées s'appuient sur les algorithmes de type March et des séquences d'adressage spécifique des mémoires. Le choix des méthodes des tests dynamiques plutôt que des tests statiques est justifié par leur capacité de sensibiliser les effets électriques et du fait qu'ils sont très représentatifs du comportement réel des mémoires de vrais systèmes électroniques. Dans ces études, sont analyses en détail des évènements de large échelle qui apparaissent pendant les tests en accélérateurs et qui menaient à des MCUs (Multiple Cell Upsets), des effets singuliers permanent SEL (Single Event Latchups) et des effets singuliers de type SEFI (Single Event Functional Interrupt). Les protons à basses menaçant les technologies le plus récentes, donc, ici, leur contribution aux effets singuliers est aussi étudiée toujours en appliquant les nouvelles méthodes des tests proposés. Avec l'expérience acquise pendant les tests accélérés, un capteur des Hadrons à Haute Energie a été proposé et par la suite testé sur le faisceau de la structure H4IRRAD du CERN. La fonction principale de ce moniteur est basée sur l'extraction de la fluence des hadrons en tant qu'une fonction des effets singuliers SEU enregistrés. En outre, sont également présentés les résultats d'un test en temps réel fait à la station Concordia en Antarctique. Dans ce cas, l'instrument de détection était une version modifié du précédent capteur. Les résultats récoltés ont démontré que cet instrument de détection peut être utilisé dans des environnements et des conditions de rayonnement diverses. Enfin, des technologies de mémoire émergeantes ont été évaluées par rapport à leur réponse au rayonnement ionisant
Most of the known natural and artificial environments present ionizing radiation interacting with electronics. The effects of ionizing radiation have been a concern for many years especially for safety and critical applications such as space, nuclear, avionics, military and medical. The study of radiation effects on electronic devices is complex and requires the combination of multidisciplinary knowledge from nuclear physics to high-level system design, electronics and science of materials. The downscaling of the transistor size and the concurrent increase of systems' complexity contributes to worsen this problematic.By occupying the largest area of Systems on Chip, electronic memories represent the biggest source of radiation induced failures. Consequently, the understanding of ionizing radiation effects on memory devices and their mitigation is crucial. This thesis introduces novel test methods for both the simulation and the experimental level. More specifically, at the simulation level a framework is proposed for the estimation of the Soft Error Rate of electronic devices. This framework considers environmental and parametric variations of the device, while subjected to ionizing radiation. The framework is evaluated by considering the case study of a 40nm SRAM cell interacting with atmospheric neutrons. At the experimental level, novel methods for the accelerated testing of SRAM devices are presented, emphasizing to the failures that dynamic mode testing is able to reveal. These proposed methods are based on March algorithms in combination with specific addressing schemes for the memories.The choice to focus on dynamic testing methods is justified by their capability to sensitize electric effects that static mode testing is not able to do, and because they are highly representative of the realistic behavior of memories in actual electronic systems. Large scale events occurring during accelerated testing as a result of Multiple Cell Upsets, Single Event Latchups and Single Event Functional Interrupts are thoroughly analyzed. With low energy protons posing a threat for latest technologies, their contribution to Soft Errors is also studied by applying the proposed testing methods. Using the experience acquired from accelerated testing, a monitor for the sensing of the High Energy Hadrons was proposed and next tested at H4IRRAD beam line (CERN). The main functionality of this monitor is based on the extraction of the hadrons fluence as a function of the recorded Single Event Upsets. Furthermore, the results from a real-time test at the Concordia station in Antarctica are also presented. This time the sensing instrument was a customized version of the previous monitor and the retrieved results proved the usability of the instrument under different radiation environments and conditions. Finally emerging memory technologies are assessed for their response under ionizing radiation
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Handschuh, Michael James. "An Investigation into the Impact of Random Spacing Errors on Static Transmission Error and Root Stresses of Spur Gear Pairs." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365609506.

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Books on the topic "Static and dynamic transmission error"

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Coelho, Alessandra Martins. Multimedia Networking and Coding: State-of-the Art Motion Estimation in the Context of 3D TV. Cyprus: INTECH, 2013.

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Brock, Fred V., and Scott J. Richardson. Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.001.0001.

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This book treats instrumentation used in meteorological surface systems, both on the synoptic scale and the mesoscale, and the instrumentation used in upper air soundings. The text includes material on first- and second-order differential equations as applied to instrument dynamic performance, and required solutions are developed. Sensor physics are emphasized in order to explain how sensors work and to explore the strengths and weaknesses of each design type. The book is organized according to sensor type and function (temperature, humidity, and wind sensors, for example), though several unifying themes are developed for each sensor. Functional diagrams are used to portray sensors as a set of logical functions, and static sensitivity is derived from a sensor's transfer equation, focusing attention on sensor physics and on ways in which particular designs might be improved. Sensor performance specifications are explored, helping to compare various instruments and to tell users what to expect as a reasonable level of performance. Finally, the text examines the critical area of environmental exposure of instruments. In a well-designed, properly installed, and well-maintained meteorological measurement system, exposure problems are usually the largest source of error, making this chapter one of the most useful sections of the book.
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Book chapters on the topic "Static and dynamic transmission error"

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Oliveri, Leonardo, Carlo Rosso, and Stefano Zucca. "Influence of Actual Static Transmission Error and Contact Ratio on Gear Engagement Dynamics." In Nonlinear Dynamics, Volume 1, 143–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54404-5_15.

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Diestmann, Thomas, Nils Broedling, Benedict Götz, and Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair." In Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.

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AbstractCompetitive industrial transmission systems must perform most efficiently with reference to complex requirements and conflicting key performance indicators. This design challenge translates into a high-dimensional multi-objective optimization problem that requires complex algorithms and evaluation of computationally expensive simulations to predict physical system behavior and design robustness. Crucial for the design decision-making process is the characterization, ranking, and quantification of relevant sources of uncertainties. However, due to the strict time limits of product development loops, the overall computational burden of uncertainty quantification (UQ) may even drive state-of-the-art parallel computing resources to their limits. Efficient machine learning (ML) tools and techniques emphasizing high-fidelity simulation data-driven training will play a fundamental role in enabling UQ in the early-stage development phase.This investigation surveys UQ methods with a focus on noise, vibration, and harshness (NVH) characteristics of transmission systems. Quasi-static 3D contact dynamic simulations are performed to evaluate the static transmission error (TE) of meshing gear pairs under different loading and boundary conditions. TE indicates NVH excitation and is typically used as an objective function in the early-stage design process. The limited system size allows large-scale design of experiments (DoE) and enables numerical studies of various UQ sampling and modeling techniques where the design parameters are treated as random variables associated with tolerances from manufacturing and assembly processes. The model accuracy of generalized polynomial chaos expansion (gPC) and Gaussian process regression (GPR) is evaluated and compared. The results of the methods are discussed to conclude efficient and scalable solution procedures for robust design optimization.
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Korta, Jakub, Domenico Mundo, Giuseppina Ambrogio, Barbara Folino, Shadi Shweiki, and Luigino Filice. "Topology Optimization and Analysis of Static Transmission Error in Lightweight Gears." In Mechanisms and Machine Science, 195–202. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48375-7_21.

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Atanasiu, V., and D. Leohchi. "Evaluation of Engagement Accuracy by Dynamic Transmission Error of Helical Gears." In New Trends in Mechanism Science, 421–28. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9689-0_49.

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Atanasiu, V., D. Leohchi, and C. Rozmarin. "Dynamic Transmission Error Prediction of Spur Gear Pairs with Friction Consideration." In SYROM 2009, 243–52. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3522-6_19.

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Pedrero, José I., Miryam B. Sánchez, and Miguel Pleguezuelos. "Load Sharing and Quasi-Static Transmission Error of Non-Standard Tooth Height Spur Gears." In New Trends in Mechanism and Machine Science, 231–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55061-5_26.

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Mundo, Domenico, Shadi Shweiki, and Piervincenzo Catera. "On the Impact of Transmission Error on the Dynamic Behavior of Geared-Linkages." In Mechanisms, Transmissions and Applications, 232–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60702-3_24.

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Hammami, Maroua, Olfa Ksentini, Nabih Feki, Mohamed Slim Abbes, and Mohamed Haddar. "Dynamic Interaction Between Transmission Error and Friction Coefficients for FZG-A10 Spur Gears." In Applied Condition Monitoring, 136–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76517-0_16.

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de Oliveira, Luiz E., Francisco D. Freitas, Ivo C. da Silva, and Phillipe V. Gomes. "Dynamic and Static Transmission Network Expansion Planning via Harmony Search and Branch & Bound on a Hybrid Algorithm." In Progress in Artificial Intelligence, 271–82. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65340-2_23.

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Valero Ubierna, Constantino. "Positioning systems: GNSS." In Manuali – Scienze Tecnologiche, 11. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.11.

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This topic will provide an overview of the technologies available for georeferencing machinery or any agricultural equipment on the Earth’s surface. Principles of GNSS (global navigation satellite systems) will be presented, along with current satellite constellations such as NAVSTAR GPS, GLONASS, Beidou, Galileo, etc. Error correction based on SBAS services and RTK technology. RTK networks. Definition of static and dynamic errors and accuracy.
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Conference papers on the topic "Static and dynamic transmission error"

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Henriksson, Mats. "Analysis of Gear Noise and Dynamic Transmission Error Measurements." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61077.

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Measurements of dynamic transmission error (DTE) and noise have been performed on a truck gearbox. The DTE is related to the dynamic properties of the complete gear system. To investigate the coupling between noise and DTE, the correlation between noise and DTE is calculated for fixed speeds, as the torque is increased. The highest correlation is found for the low split gear pair, which is located closest to the gearbox housing. When the correlation is low, one of the reasons can be a resonance of the shafts, although not all resonances effect the correlation between noise and DTE. The DTE is also compared to calculated static TE for the gear teeth. Both the DTE and noise for the fifth gear increases as the torque is increased. The calculated static TE shows the opposite trend and decreases as the torque is increased.
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Tuttle, Timothy D., and Warren P. Seering. "Kinematic Error, Compliance, and Friction in a Harmonic Drive Gear Transmission." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0319.

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Abstract In this experimental examination, the behavior of harmonic-drive kinematic error, compliance, and friction was characterized. In particular, kinematic error was confirmed to appear primarily at frequencies that were multiples of the wave-generator rotational velocity, and static stiffness measurements were found to yield a range of profiles that could be highly nonlinear. Additional measurements of static and dynamic friction demonstrated that energy dissipation in harmonic drives varies nonlinearly with velocity and can escalate during system resonance. Due to the inseparable interaction between harmonic-drive kinematic error, compliance and friction, transmission properties often showed significant variation with operating conditions and were difficult to characterize accurately.
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Cricenti, Fabrizio, Claus-Hermann Lang, and Domenico Paradiso. "Development of an Analytical Model for the Static and Dynamic Transmission Error Calculation: Validation on a Single Vehicle Gear Vibration Test Bench." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/ptg-14426.

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Abstract Automotive companies are being challenged when they seek to guarantee very high quality and reliability levels for their products. Customers may complain about comfort and various other concerns such as noise generated by a certain component. Analytical, numerical simulation and testing are used to understand how certain modifications to the product can affect the excited noise level. This paper presents an analytical approach used in order to predict noise levels coming from an engaged vehicle gear pair. This is done by evaluating the static and dynamic transmission error with load distribution on the teeth engaged for the different values of micro-geometric teeth modifications. Comparing the analytical and experimental results shows that both factors can be extremely linked with noise generated by two mating gears.
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Paouris, Leonidas I., Stephanos Theodossiades, Homer Rahnejat, Adam Kidson, Gregory Hunt, and William Barton. "Nonlinear Dynamics of an Automotive Differential Hypoid Gear Pair." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47324.

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The dynamics of an automotive differential hypoid gear pair is investigated. The gear pair model is a 4 degree-of-freedom torsional model, including the torsional deflections of the supporting shafts of the pinion and the gear. It also includes the dynamic transmission error of the mating teeth pairs. The variations in teeth contact stiffness/contact, principal radii of contact and static transmission error are determined during the meshing cycle, using the CALYX software. The equations of motion are solved using a numerical integration scheme. A preliminary parametric study is presented, enabling identification of different periodic responses as the vehicle cruising speed alters.
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Cooley, Christopher G., Robert G. Parker, and Sandeep M. Vijayakar. "A Frequency Domain Finite Element Approach for Three-Dimensional Gear Dynamics." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87525.

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A finite element formulation for the dynamic response of gear pairs is proposed. Following an established approach in lumped parameter gear dynamic models, the static transmission error is used as the excitation in a frequency domain solution of the finite element vibration model. The nonlinear finite element/contact mechanics formulation provides superior calculation of static transmission error and average mesh stiffness that is used in the dynamic simulation. The frequency domain finite element calculation of dynamic response correlates to numerically integrated (time domain) finite element dynamic results and previously published experimental results. Simulation time with the proposed formulation is two orders of magnitude lower than numerically integrated dynamic results. This formulation admits system level dynamic gearbox response, which may include multiple gear meshes, flexible shafts, rolling element bearings, and housing structures.
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Kahraman, Ahmet. "Effect of Axial Vibrations on the Dynamics of a Helical Gear Pair." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0279.

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Abstract In this paper, a linear dynamic model of a helical gear pair has. been developed. The model accounts for the shaft and bearing flexibilities, and the dynamic coupling among the transverse, torsional, axial and rotational motions because of the gear mesh. The natural frequencies and the mode shapes have been predicted, and the modes which are excited by the static transmission error have been identified. The forced response due to the static transmission error has also been predicted, including the dynamic mesh and bearing forces. A parametric study has been performed to investigate the effect of the helix angle on the free and forced vibrational characteristics of the gear pair. It has been shown that the helix angle can be neglected in predicting the natural frequencies and the dynamic mesh forces. An accurate prediction of dynamic bearing forces and moments requires inclusion of helix angle in the analysis.
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Phegley, Brian, Roberto Horowitz, and Gabriel Gomes. "Model-Based Fault Detection Among Freeway Loop Sensors." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9722.

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Loop detectors are installed along many of the freeways across the state of California to provide real-time and historical traffic data. These data are used by Caltrans for traffic management operations, such as freeway ramp metering, and to evaluate the performance of freeway corridor traffic management systems. These data are also being used to calibrate traffic flow models and to perform model-based predictions of freeway corridor congestion and traffic throughput performance. However, such detection is prone to contain errors and inconsistencies, which can pose problems in further use of the data, and is also of such large quantities that identification of errors can be tedious. This paper proposes a fault detection algorithm associating loop detector data to the cell transmission model to identify significant errors among such detectors. It discusses how such an algorithm would apply to loop detection along the mainline freeway, as well as extends the algorithm to determine errors along on and off ramp detectors. It also gives a real-life example with appropriate identification of detectors in error.
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Perret-Liaudet, J., and J. Sabot. "Dynamics of a Truck Gearbox." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0031.

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Abstract This work is concerned with numerous numerical simulations of the overall dynamic behaviour of a parallel helical gear transmission. These results are compared to vibratory measurements made with a simplified gearbox test rig. The dynamic modeling of the elastic components of the gear transmission (gears, shafts, bearings, housing) is realized using the finite element method. Fluctuated gear mesh stiffness is introduced owing to stiffness matrix which describes the elastic coupling between the pinion and the wheel. The kinematic transmission error is introduced as a vibratory excitation source. The equations of motion are established in a truncated modal base deduced from the average characteristics of the structure. A new computing method, called “Spectral Method”, is used for analytical study of a simplified gearbox whose housing is a simple rectangular plate. The numerical results allows us to conclude on the dominent phenomenon of the overall dynamic behaviour of the gear transmission. They exhibit in particular the main characteristics of the transfer between the static transmission error and the vibratory response of the gearbox. A series of vibration measurements made on a gearbox close to that used for the numerical simulations, has confirmed this characteristics.
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Hochmann, David, and Donald R. Houser. "Friction Forces As a Dynamic Excitation Source in Involute Spur and Helical Gearing." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/ptg-14429.

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Abstract Current thought is that the main sources of dynamic excitation in spur and helical gearing occur along the line-of-action and are due to time varying tooth stiffness and static transmission error. This paper examines friction forces as a potential dynamic excitation source in the gear mesh of involute parallel axis spur and helical gearing. The friction forces act in a direction perpendicular to the line-of-action, defined as the off line-of-action direction. To support the claim that friction force is a potential dynamic excitation source, experimental evidence is presented in the form of shaft motions measured near the support bearings in the line-of-action and off line-of-action directions. These experimental results show that the off line-of-action motion is of the same order of magnitude as the line-of-action motion and at times the off line-of-action motion at gear mesh frequency is several times larger than the line-of-action motion. The motions are related to the forces through the bearing stiffness matrix. Other potential explanations of the large off line-of-action shaft motion such as bearing cross coupling phenomena, reduced bearing stiffness, bearing clearances, and system dynamics are examined. The results suggest that through a combination of a small friction force excitation at the gear mesh, and the force transmissibility properties of the gear-bearing system, the friction force can produce forces at the bearing comparable to those generated by transmission error excitations, particularly at low to medium speeds.
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Play, Daniel, Nicolas Fritsch, Ste´phane Huot, and Eric Ayax. "Numerical Simulations of Timing Belt Camshaft Layout: Local and Global Behavior." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/ptg-48008.

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Mechanical behaviors of power transmission systems have to be defined during preliminary design. Today, numerical simulations replace classical tests. General experimental validation of numerical results obtained with computer softwares was performed before. The design of timing belt camshaft layouts follows the same way. Meshing of timing belt on pulleys is related to local behavior of load transmission while dynamic response of a whole camshaft drive layout is related to global behavior. Because of the complex nature of phenomena that take place in such mechanical systems and due to practical requirements in Design Office concerning limitation of computer times for example, local and global analyses are made separately but results of the local analysis serve as inputs for the second analysis. The purpose of the local analysis is to optimize pulley groove profiles of pulleys in order to insure both smaller dynamic excitations and a larger timing belt fatigue life. Simulations of tooth meshing are made under non-linear FEM study. Tooth meshing is described step by step and both bending of inner timing belt cords and transmission error effects are defined in relation to specific shapes of pulley groove profiles. The quasi-static transmission error constitutes one of input data for global dynamic simulations through specific in-house software DSTD (Dynamic Simulation of Timing Drive). Dynamic loads and dynamic transmission error are obtained in relation with inertia, stiffness and damping of mechanical elements and with timing belt characteristics. Results are discussed in relation with design parameters of camshaft drive layout.
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