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58 results for “rotor”
Data for Wind Energy Science paper "Modal dynamics of structures with bladed isotropic rotors and its complexity for 2-bladed rotors"
<p>The files are data files with model input and Matlab files with model parameters and function that sets up the block matrices of the dynamic model used in the paper. The Matlab script "test_repo.m" shows how to this function with all input.</p>
Constraints for Rotor Inflow Benchmarks - Unstable Cases
<p>Data to be used as constraints for the rotor inflow benchmarks (unstable cases) as defined in https://rotor-inflow-benchmark.readthedocs.io/</p> <p> </p> <p>GL*.csv : time-averaged wind speed and veer over each period, obtained from ground-based vertically profiling lidar</p> <p>UVW_real*.csv : high-frequency (20 Hz) time series of three-dimensional wind velocity vector over 24 hours centered on the periods of interest, obtained from meteorological tower sonic anemometers</p> <p>NL*.nc: low-frequency (1 Hz) time series of longitudinal wind velocity over each period, obtained from nacelle-mounted scanning lidar after quality control, temporal upsampling, interpolation to a regular grid and the use of a machine learning model to fill in gaps introduced by blade passage in front of the lidar</p> <p>LES*.nc: low-frequency (1 Hz) time series of longitudinal wind velocity over each period, obtained from large-eddy simulations performed to match the experimental field measurements</p> <p>UVW_les*.csv: high-frequency (16 Hz) time series of three-dimensional wind velocity vector at two heights for the 704 seconds of the large-eddy simulations</p>
All-atom molecular dynamics simulations of incomplete ATP synthase rotor rings with unusually high stoichiometry predicted by the AlphaFold2-based method
<p>The trajectories of all-atom MD simulations of <span>AlphaFold2 4, 11, 16 or 18-mer structures of the subunit <em>c</em> from<br></span><span><em>Candidatus Kryptonium thompsoni</em></span><span> (CKt_Nmer_lipid_mix_CHM36m_303K_500ns) and <br></span><span><em>Thalassoglobus polymorphus </em>(Tp_Nmer_lipid_mix_CHM36m_303K_500ns), and <br>AlphaFold2 11-mer structure of the subunit <em>c</em> from <em>Spinacia oleracea</em> (So_11mer-c20_POPC_CHM36m_303K_300ns) </span><span>in a lipid bilayer.</span></p> <p><span>Simulations have been performed using the CHARMM36m force field, running with the GROMACS 2022 package.</span></p>
Total Rotor Runout Dataset
<p><strong>Total Rotor Runout Dataset</strong></p> <p>Data of tactile multi-probe and eddy current displacement measurement of an electric motor rotor shaft surfaces.</p> <p>Original measurement data related to publication:<br> T. Tiainen, R. Viitala, T.P. Holopainen, B. Hemming, Analysis of total rotor runout components with multi-probe roundness measurement method, Measurement, Volume 179, 2021, 109422, ISSN 0263-2241, <a href="https://doi.org/10.1016/j.measurement.2021.109422">https://doi.org/10.1016/j.measurement.2021.109422</a>. (<a href="https://www.sciencedirect.com/science/article/pii/S0263224121004115">https://www.sciencedirect.com/science/article/pii/S0263224121004115</a>)</p> <p>All data is in raw format in CSV files. The measurements were triggered with a 1024-pulse rotary encoder and contain 5 rounds of data (5120 points).</p> <p>The multi-probe roundness measurement algorithm implementations are available at: <a href="https://github.com/tuomastiainen/mpr-tools">https://github.com/tuomastiainen/mpr-tools</a></p> <p><strong>Multi-probe roundness data, tactile measurement (Figures 6 and 9)</strong></p> <p>Raw data of four-point tactile roundness measurement.</p> <table> <thead> <tr> <th>Description</th> <th>File name</th> <th>z offset (mm)</th> </tr> </thead> <tbody> <tr> <td>Left polished surface four-point tactile measurement</td> <td>roundness/left-polished.csv</td> <td>477</td> </tr> <tr> <td>Left journal bearing four-point tactile measurement</td> <td>roundness/left-journal-bearing.csv</td> <td>363</td> </tr> <tr> <td>Left support bearing four-point tactile measurement</td> <td>roundness/left-support-bearing.csv</td> <td>0</td> </tr> <tr> <td>Right support bearing four-point tactile measurement</td> <td>roundness/right-support-bearing.csv</td> <td>-1320</td> </tr> <tr> <td>Right journal bearing four-point tactile measurement</td> <td>roundness/right-journal-bearing.csv</td> <td>-1575</td> </tr> </tbody> </table> <p><strong>Electrical runout data, simultaneous tactile and eddy current probe measurement (Figures 7 and 8)</strong></p> <p>Raw data of electrical roundness measurement, including one file with S1 and eddy data and another file with S1, S2, S3 and S4 tactile multi-probe roundness measurement data (simultaneous measurement, S1 data are equal in both files).</p> <table> <thead> <tr> <th>Description</th> <th>File name</th> </tr> </thead> <tbody> <tr> <td>Left polished tactile and eddy current measurement</td> <td>electrical-runout/left-polished.csv</td> </tr> <tr> <td>Left polished four-point tactile measurement</td> <td>electrical-runout/left-polished-roundness.csv</td> </tr> </tbody> </table> <p><strong>Scaling</strong></p> <ul> <li>All tactile probe readings (S1 to S4) will need to be multiplied by 1/409.6 to obtain the values of the probes in micrometers.</li> <li>Eddy current probe data (analog voltage) was calibrated to the simultaneous eddy current probe measurement as described in the publication. The resulting calibration coefficient was 0.002130021300212892.</li> </ul> <p><strong>Names of variables</strong></p> <table> <thead> <tr> <th>Variable</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>n</td> <td>Index number of measurement point (starting from rotary encoder reference pulse)</td> </tr> <tr> <td>S1</td> <td>Tactile displacement sensor 1</td> </tr> <tr> <td>S2</td> <td>Tactile displacement sensor 2</td> </tr> <tr> <td>S3</td> <td>Tactile displacement sensor 3</td> </tr> <tr> <td>S4</td> <td>Tactile displacement sensor 4</td> </tr> <tr> <td>eddy</td> <td>Eddy current sensor (voltage)</td> </tr> </tbody> </table> <p> </p> <p><strong>Acknowledgement</strong></p> <p>This dataset was obtained within the 19ENG07 Met4Wind project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p> <p>Project title: Metrology for enhanced reliability and efficiency of wind energy systems<br> Funder name: European Commission<br> Funder ID: 10.13039/100014132<br> Grant number: 19ENG07 Met4Wind<br> Link to project homepage: <a href="https://www.ptb.de/empir2020/met4wind/home/">https://www.ptb.de/empir2020/met4wind/home/</a><br> Related objects: <a href="https://doi.org/10.1016/j.measurement.2021.109422">https://doi.org/10.1016/j.measurement.2021.109422</a></p>
F-Type ATP synthase rotor ring stoichiometry predictions
<p>Stoichiometry prediction data for:</p> <p>1) rotor rings with experimental structures available</p> <p>2) representative c subunits</p> <p>3) c subunits with unexpectedly high predicted stoichiometry</p> <p>4) all c subunits via matching with corresponding representative sequence</p>
Fast measurement of angular velocity in air-driven flat rotors with periodical features - Supplementary Data
<p>Supplementary Movie and data files used for generating Figure 4 in the main text. The files are compressed pickled pandas Dataframes and can be read with:</p> <pre><code class="language-python">import pandas as pd df = pd.read_pickle('/folder/file.xz', compression='xz')</code></pre> <p>Along with those files there are .txt files containing the physical information of each experiment.</p>
Corrigendum of "Assessment of the Elliptic Blending RSM Turbulence Model on a Wind Turbine-Type Rotor Under Mildly Compressible Blade Tip Flow Regime" and updated dataset
<p>This data accompanies the paper "Assessment of the Elliptic Blending RSM Turbulence Model on a Wind Turbine-Type Rotor Under Mildly Compressible Blade Tip Flow Regime", published in the 18th Brazilian Congress of Thermal Sciences and Engineering (2020): <a href="http://www.sistema.abcm.org.br/articleFiles/download/28958">http://www.sistema.abcm.org.br/articleFiles/download/28958</a>. It includes the corrected integral load values described in the PDF document.</p>
Supplemental Material to Article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades"
<p>This set supplements the figure data to the article "Quantification of process-induced effects on fatigue life of short-glass-fiber-filled adhesive used in wind turbine rotor blades", DOI: xxx</p>
Influence of rotation speed and frequency on the decision of Columba livia domestica to cross the rotor-swept area of paper blades mimicking a wind turbine
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Supplemental Material to Journal Article "Assessment of a rotor blade extension retrofit as a supplement to the lifetime extension of wind turbines"
<p>This set supplements the figure data to the article "Assessment of a rotor blade extension retrofit as a supplement to the lifetime extension of wind turbines", DOI: .</p>
The Relation Between Crystal Structure and the Occurrence of Quantum-Rotor Induced Polarization
<p>NMR raw data as TopSpin (Bruker Corporation) files and XRD data as Origin files for the article titled "The Relation Between Crystal Structure and the Occurrence of Quantum-Rotor Induced Polarization".</p>
LiftWEC deliverable 3.5 - Dataset from extreme wave impact simulations on LiftWEC rotor using a high-fidelity RANS model
<p>This dataset contains numerical simulation results obtained from extreme wave impact in the LiftWEC rotor obtained using the high-fidelity RANS model employed in the LiftWEC project. An elaborate description of the numerical simulation setup as well as the discussion of the obtained results is available in LiftWEC deliverable D3.5 Extreme Load Analysis Report, also available in the LiftWEC zenodo-community or via the project website liftwec.com.</p> <p>The RANS-based investigation looked into maximum forces obtained using different extreme wave generation mechanisms as well as for different configurations of rotor and foil angle and rotor submergence. The dataset features images of different flow field variables throughout the simulation and time series of obtained forces in horizontal and vertical direction. In combination with the report, the datasets should allow to replicate all investigated design wave cases.</p>
Evaluation of Conventional Ablation With or Without Focal Impulse and Rotor Modulation to Eliminate Human AF
ClinicalTrials.gov study NCT02456233. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Clinical Usefulness of Virtual Ablation Guided Catheter Ablation of Atrial Fibrillation: Virtual Rotor Mapping and Catheter Ablation
ClinicalTrials.gov study NCT02558699. IPD Sharing: Not stated. Countries: 1. Publications: 1.
brute bifurcation rigid rotor stator contact codes and data
<p>Numerical data and codes to accompany the paper:</p> <p>K. Mora, A. R. Champneys, A. D. Shaw, and M. I. Friswell, ‘Explanation of the onset of bouncing cycles in isotropic rotor dynamics; a grazing bifurcation analysis’, <em>Proc. R. Soc. Math. Phys. Eng. Sci.</em>, (in press).</p> <p>Please cite this work if using this data.</p>
Data for figures in "Quantum spin-liquid states in an organic magnetic layer and molecular rotor hybrid"
<p>Data used to produce the figures in the work entitled "Quantum spin-liquid states in an organic magnetic layer and molecular rotor hybrid"</p>
Data from: Dynamic analysis of liquid annular seals with herringbone grooves on the rotor based on perturbation method
Annular seals have significant effects on the hydraulic and rotordynamic performances turbomachinery. In this paper, an analysis method for calculating the leakage rate and dynamic characterisitcs of liquid annular seals with herringbone grooves on the rotor is proposed and verified. Leakage flow rates and dynamic characteristics of the model seals under different operating conditions are theoretically analyzed and compared to those of the plain and spiral-grooved seals of the same size. Besides, the influence of geometric parameters such as spiral angle and the lengths of the constituent parts on the sealing and rotordynamic coefficients of seals with herringbone grooves are also discussed in this paper. The results show that seals with herringbone grooves have better sealing performance, while providing bigger support actions and better damping characteristics than the other two seal types under the same operating conditions. The seal geometric parameters including spiral angle, the lengths of the constituent parts and the clearance value have great influence on the dynamic characteristics of seals with herringbone grooves.
Eagles enter rotor-swept zones of wind turbines at rates that vary by turbine
<p>There is increasing pressure on wind energy facilities to manage or mitigate for wildlife collisions. However, little information exists regarding spatial and temporal variation in collision rates, meaning that mitigation is most often a blanket prescription. To address this knowledge gap, we evaluated variation among turbines and months in an aspect of collision risk—probability of entry by an eagle into a rotor swept zone (hereafter, 'probability of entry'). We examined 10,222 eagle flight paths identified and recorded by an automated bird monitoring system at a wind energy facility in Wyoming, USA. Probabilities of entry per turbine-month combination were 4.03 times greater in some months than others, ranging 0.15 to 0.62. The overall probability of entry for the riskiest turbine (i.e. the one with the greatest probability of entry) was 2.39 times greater than the least-risky turbine. Our methodology describes large variation across turbines and months in the probability of entry. If subsequently combined with information on other sources of variation (i.e. weather, topography), this approach can identify risky versus safe situations for eagles under which cost of management, curtailment prescriptions, and collision risk can be simultaneously minimized.</p>
Randomized Evaluation of Atrial Fibrillation Treatment With Focal Impulse and Rotor Modulation Guided Procedures
ClinicalTrials.gov study NCT02274857. IPD Sharing: NO. Countries: 3. Publications: 0.
Data from: Wind turbine blade shear web disbond detection using rotor blade operational sensing and data analysis
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