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58 results for “rotor”
SmartBlades 2.0 Rotor Blade Nastran Models
<p>The <a href="https://www.iwes.fraunhofer.de/en/research-projects/finished-projects-2020/smart-blades-2.html">SmartBlades 2.0 project</a> was funded by the Federal Ministry for Economic Affairs and Energy (BMWi) under the Funding number: 0324032.</p> <p>The reference finite element model in which this dataset is based upon consists of a validated wind turbine blade model for this 20-meters blade:</p> <blockquote> <p>Christian Willberg. (2020). Smartblades 2 finite element reference wind turbine blade model (1.1) [Data set]. Zenodo. <a href="http://doi.org/10.5281/zenodo.4604693">https://doi.org/10.5281/zenodo.4604693</a></p> </blockquote> <p>This dataset includes four finite element models of the SmartBlades 2.0 Rotor Blade, described below. All input files "*.bdf" were used in MSC Nastran version 2018.2 to generate the output files "*.h5".</p> <p>1) SmartBlades2 Rotor Blade Model V02 Topology Update</p> <p><a href="http://doi.org/10.5281/zenodo.4604693">Willberg, C. model</a> updated with topology features in the trailing edge, and spar-web joint regions. Including additional strucutral and test sensor masses, and refined mesh of 50mm element size.</p> <p>1A) Model incorporating a clamped root boundary condition and test sensor masses:</p> <ul> <li>Input: <a href="https://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Root_Clamped.bdf">SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Root_Clamped.bdf</a></li> <li>Output: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Root_Clamped.h5">SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Root_Clamped.h5</a></li> </ul> <p>1B) Model incorporating a free-free boundary condition:</p> <ul> <li>Input: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Free_Free.bdf">SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Free_Free.bdf</a></li> <li>Output: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Free_Free.h5">SmartBlades2_Rotor_Blade_Nastan_Model_V02-Topology_Update-Free_Free.h5</a></li> </ul> <p><br> 2) SmartBlades2 Rotor Blade Model V02b Sparweb Free Joint Variant</p> <p>The V02 Topology Update model including RBE2 connections along the spar-web joints with decoupled rotation in the spanwise axis.</p> <p>2A) Model incorporating a clamped root boundary condition and test sensor masses:</p> <ul> <li>Input: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Root_Clamped.bdf">SmartBlades2_Rotor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Root_Clamped.bdf</a></li> <li>Output: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Ro tor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Root_Clamped.h5">SmartBlades2_Ro tor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Root_Clamped.h5</a></li> </ul> <p>2B) Model incorporating a free-free boundary condition:</p> <ul> <li>Input: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Free_Free.bdf">SmartBlades2_Rotor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Free_Free.bdf</a></li> <li>Output: <a href="http://zenodo.org/record/5729717/files/SmartBlades2_Rotor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Free_Free.h5">SmartBlades2_Rotor_Blade_Nastan_Model_V02b-Sparweb_Free_Joint-Free_Free.h5</a><br> </li> </ul> <table> <caption>General data of the blade (from <a href="https://elib.dlr.de/131955/1/AG_FVW_in_der_Windenergie_191024_Stueve.pdf">https://elib.dlr.de/131955/1/AG_FVW_in_der_Windenergie_191024_Stueve.pdf</a>)</caption> <tbody> <tr> <td>Diameter of the rotor</td> <td>46.61m</td> </tr> <tr> <td>Nominal rotational speed</td> <td>37.1 rpm</td> </tr> <tr> <td>Length of rotor blade</td> <td>19.99 m</td> </tr> <tr> <td>Maximum chord length</td> <td>2.38 m</td> </tr> <tr> <td>Max. pre-bend</td> <td>1 m</td> </tr> <tr> <td>Surface of main shell</td> <td>69.8 m²</td> </tr> <tr> <td>Blade nominal mass</td> <td> <p>Fiber mass (dry) 889.5 kg</p> <p>Infusion Resin 579.3 kg</p> <p>Bonding Resin 44 kg</p> <p>Other materials (e.g. Foam) 80.5 kg</p> <p>Extra masses (e.g. Sensors) 123.4 kg</p> <p>Total mass of the blade 17168 kg</p> </td> </tr> </tbody> </table> <p> </p>
Fatigue properties of wind turbine rotor blade hybrid epoxy adhesives
<p>This dataset includes the tensile data at two different strain rates and tensile-tensile fatigue data of epoxy adhesives used in wind turbine rotor blades. SPABOND™ 820HTA (non-toughened) and SPABOND™ 840HTA (toughened) epoxy adhesives are combined at different weight proportions to develop the hybrid adhesives. The hybrid and ASTM D638-22 tensile specimen geometry (Type I and Type II) effects on fatigue performance are determined through instrumented experiments. </p>
Manufacturing of screw rotors via 5-axis double-flank CNC machining
<p>Each folder contains the mesh files of the target geometry (screw rotor) and of a corresponding custom-shaped tool. The motions of the tool are described as the CL files, where each line in these files contains the information about the tool tip (first 3 coordinates) and the unit vector of the tool's axis (last 3 coordinates).</p>
Enhanced Field Rotor Aerodynamics - ECN
<p>In these full scale aerodynamic test program local aerodynamic quantities (forces, inflow velocities, inflow angles) are measured at several radial positions along the blade.<br>The aerodynamic experiments at ECN were performed in two different phases:</p> <ul> <li><strong>The non-rotating phase (1993-1994).</strong> In this phase the blade was mounted vertically on a non-rotating facility in the free stream. This test aimed at acquiring data at free stream conditions without rotational effects. Furthermore the instrumentation could be tested relatively easy in order to prepare for the next phase.</li> <li><strong>The rotating phase (1995-1997).</strong> In this phase the blade was mounted on the HAT-25 experimental wind turbine and data were acquired under rotation. Furthermore some non-rotating measurements have been repeated. In this report the measurements from the rotating phase are reported only.</li> </ul> <p>The HAT-25 wind turbine is located at ECN near Petten in the Netherlands. The prevailing wind direction is from South-West, at which most of the measurements are taken. In this direction, the terrain upstream of the turbine is obscured by dunes over around 600 m. As a result, the turbulence intensities at the site may depend strongly on the conditions. Generally, the values of the turbulence intensities are between 5% and 20%.<br>Time series measurements are supplied, in which the angle of attack ranges from negative values to deep stall values. Also measurements at yaw misalignment and at stand still have been supplied. Also sectional profile coefficients under rotating and 2D conditions are stored. </p> <p>The SourceDatabase.zip archive contains original database with data file formats and conventions harmonized (across all IEA Task 18: Enhanced Field Rotor Aerodynamics experiments) in order to make the full database easy accessible (see "<strong>Related works</strong>"). The rotating phase measurements have been merged into two files: "rottim_prof_merged.csv" (containing profile, SCADA and SHM data) and "rottim_p_merged.csv" (containing aerodynamic pressure measurements) to facilitate import of all the data. </p>
On the power and control of a misaligned rotor - Beyond the cosine law
<p>This dataset is a supplement to the article entitled "On the power and control of a misaligned rotor - Beyond the cosine law", currently under review in the Wind Energy Science Journal. Each figure in the article can be reproduced using the python scripts provided in the form of Jupyter Notebooks (.ipynb).</p>
Infrared thermography of turbulence patterns of operational wind turbine rotor blades supported with high-resolution photography: KI-VISIR Dataset
<h2>Abstract</h2> <p><span>With increasing wind energy capacity and installation of wind turbines, new inspection techniques are being explored to examine wind turbine rotor blades, especially during operation. A common result of surface damage phenomena (such as leading-edge erosion) is the premature transition of laminar to turbulent flow on the surface of rotor blades. In the KI-VISIR (Künstliche Intelligenz Visuell und Infrarot Thermografie – Artificial Intelligence-Visual and Infrared Thermography) project, infrared thermography is used as an inspection tool to capture so-called thermal turbulence patterns (TTP) that result from such surface contamination or damage. To compliment the thermographic inspections, high-resolution photography is performed to visualise, in detail, the sites where these turbulence patterns initiate. A convolutional neural network (CNN) was developed and used to detect and localise the turbulence patterns. A unique dataset combining the thermograms and visual images of operational wind turbine rotor blades has been provided, along with the simplified annotations for the turbulence patterns. Additional tools are available to allow users to use the data requiring only basic Python programming skills.</span></p>
Raw Data of "Selective laser melting of a Fe-Si-Cr-B-C-based complex-shaped amorphous soft-magnetic electric motor rotor with record dimensions"
<p>This data set includes the RAW DATA of the publication. ABSTRACT: A record large amorphous rotor bearing an intricate 3D-geometry is produced through additive manufacturing via selecting laser melting using a powder of a traditional bulk metallic glass-forming composition of the Fe-Si-Cr-B-C system. Not only does this technique overcome the technical limitations characteristic of casting processes for amorphous alloys, but the possibility to print complex 3D geometries is expected to greatly facilitate the channeling of the magnetic flux, when such component is used as a rotor in an electric machine. The as-built part is characterized in comparison to the powder material as well as as-spun ribbons using a wide range of complementary techniques, including synchrotron x-ray diffraction, calorimetry, electron microscopy as well as room temperature ferromagnetic and hardness testing. The built part has extraordinarily high values of hardness (877 HV) and remarkable high magnetic susceptibility (9.17). This latter feature leads to a better magnetic response in the presence of an external magnetic field evidenced by a faster approach to saturation. The coercivity is small (0.51 kA/M) and the magnetic saturation relatively high (1.29 T). In addition, a large anisotropic effect on the magnetization reaction in connection with the partial crystallization in the melt pool areas is investigated experimentally.</p>
Processed Data of "Selective laser melting of a Fe-Si-Cr-B-C-based complex-shaped amorphous soft-magnetic electric motor rotor with record dimensions"
<p>This data set includes the processed data of the pubblication. ABSTRACT: A record large amorphous rotor bearing an intricate 3D-geometry is produced through additive manufacturing via selecting laser melting using a powder of a traditional bulk metallic glass-forming composition of the Fe-Si-Cr-B-C system. Not only does this technique overcome the technical limitations characteristic of casting processes for amorphous alloys, but the possibility to print complex 3D geometries is expected to greatly facilitate the channeling of the magnetic flux, when such component is used as a rotor in an electric machine. The as-built part is characterized in comparison to the powder material as well as as-spun ribbons using a wide range of complementary techniques, including synchrotron x-ray diffraction, calorimetry, electron microscopy as well as room temperature ferromagnetic and hardness testing. The built part has extraordinarily high values of hardness (877 HV) and remarkable high magnetic susceptibility (9.17). This latter feature leads to a better magnetic response in the presence of an external magnetic field evidenced by a faster approach to saturation. The coercivity is small (0.51 kA/M) and the magnetic saturation relatively high (1.29 T). In addition, a large anisotropic effect on the magnetization reaction in connection with the partial crystallization in the melt pool areas is investigated experimentally.</p>
Improving environmental performances of integrated bladed rotors for aircraft
<p>Supplementary Materials for publication Rupcic et al. 2022, Improving environmental performances of integrated bladed rotors for aircraft</p>
Finite Element model data for Academic Rotor bladed-disc system
<div> <div> <div> <p>A computational finite element based technique is proposed for developing a stochastic reduced order model for rotating bladed disc with spatial random inhomogeneities. The spatial inhomogeneities imply the system to be randomly mistuned. The formulation assumes the availability of a high fidelity finite element (FE) model for the tuned system. The corresponding FE matrices are antisymmetric on account of the Coriolis forces due to rotation. The spatial inhomogeneities, available from limited point measurements on the blades, are modelled as non-Gaussian random fields with arbitrary distributions. A low order stochastic computational model is developed by projecting the FE model onto a reduced dimensional state space defined in terms of specified observable nodal points and expressing the stochasticity through an arbitrary polynomial chaos (aPC) basis. This model enables probabilistic quantification of the variabilities in the system response and estimating failure probabilities. The methodology enables drastic reduction in the state space and stochastic dimensions, addresses the practical difficulties with having limited measurable data points, antisymmetric FE matrices, aPC representation in complex irregular geometries and carrying out probabilistic analyses on industrial systems, at significantly reduced computational costs. The methodology is illustrated through an academic rotor and an industrial rotor blade.</p> </div> </div> </div>
Synchronous generator experimental data (voltage, current and rotor position data)
<p>This database is composed of stator voltages and currents, field voltage and rotor position of a three-phase synchronous generator under resistive load. The data were acquired by means of two Tektronix MSO 2014B oscilloscopes with 4 channels each. Data were collected on 8 channels corresponding to phase voltages (Va,Vb,Vc), phase currents (Ia,Ib,Ic), field current of the generator (Ifd) and a pulse signal for angular position reference of the rotor (theta_m). For the simultaneous collection of the signals, a trip circuit was designed and implemented, the output of which was used as the triggering signal for the oscilloscopes. The synchronous generator was connected to a synchronous motor (Y-Y) and to a resistive circuit (18 units of 40W lamps) which served as loads. Voltage data were collected by means of a Keysight N2791 voltage probes; current data were collected using Tektronix A622 current tips. An PHCT203 optical key was used to collect rotor position pulse signal. The generator model is MOTROM M610-75-B-1K8-GS of 0.5 cv, 1800 rpm, 4 poles. The generator parameters obtained by means of physical bench tests were:</p> <p>Rs = 32.5 ohms (stator winding resistance)</p> <p>Rfd = 358.9 ohms (field winding resistance)</p> <p>Ld = 0.803H (direct axis stator inductance)</p> <p>Lq = 0.691H (quadrature axis stator inductance)</p> <p>Lls = 0.12H (stator winding leakage inductance)</p> <p>Lfd = 2.23H (field winding inductance)</p> <p>Vf = 64V (field voltage applied during the experiment, supplied by an regulated DC source)</p> <p> </p> <p>The database is composed by the following files of preprocessed data sampled at 10kHz in which the following variables are given, respectively, time, Va, Vb, Vc, Theta_r, Ia, Ib, Ic:</p> <p>1) data0001.txt</p> <p>2) data0002.txt</p> <p>3) data0003.txt</p> <p>4) data0001.csv</p> <p>5) data0002.csv</p> <p>6) data0003.csv</p> <p> </p> <p>Further, the database contains the following files of raw data:</p> <p>1) T0001A.txt</p> <p>2) T0001B.txt</p> <p>3) T0002A.txt</p> <p>4) T0002B.txt</p> <p>5) T0003A.txt</p> <p>6) T0003B.txt</p> <p>Each realization is contained in two files (suffixes A,B) and contain:</p> <p>Suffix A</p> <p>time</p> <p>CH1 (Va)</p> <p>CH1_peak (Va peak)</p> <p>CH2 (Vb)</p> <p>CH2_peak (Vb peak)</p> <p>CH3 (Vc)</p> <p>CH3_peak (Vc peak)</p> <p>CH4 (Theta_r)</p> <p>CH4_peak (Theta_r peak)</p> <p> </p> <p>Suffix B</p> <p>time</p> <p>CH1 (Ia)</p> <p>CH1_peak (Ia peak)</p> <p>CH2 (Ib)</p> <p>CH2_peak (Ib peak)</p> <p>CH3 (Ic)</p> <p>CH3_peak (Ic peak)</p> <p>CH4 (EMPTY)</p> <p>CH4_peak (EMPTY)</p> <p> </p> <p>When using the raw data, it is important to consider that the values were acquired in the following conditions:</p> <p>- Voltage probe scale: 100:1</p> <p>- Current probe scale: 100mV/A</p> <p>- Oscilloscope probe scale: 10x<br> <br> - Oscilloscope configuration: check header of raw files.</p> <p> </p> <p>Contact information: jose.grzybowski@uffs.edu.br</p>
Wake data documentation for a wind turbine rotor with winglets
<p>This is the documentation of data, measured in a experimental campaign, in which the effects of winglets<br> on a model wind turbine rotor were investigated</p>
Broken rotor bar dataset information
<p>This information is a public record of broken rotor bar data meant to accompany a thesis. For more details including pictures of the test setup, please refer to the thesis document:</p> <p><strong>Type:</strong> Thesis, PhD Electrical and Computer Engineering</p> <p><strong>Title: </strong>“An intelligent monitoring system for online induction motor fault diagnostics”</p> <p><strong>Author: </strong>Peter Luong,</p> <p><strong>Year: </strong>2019</p> <p><strong>Link: </strong><a href="https://knowledgecommons.lakeheadu.ca/handle/2453/4712">https://knowledgecommons.lakeheadu.ca/handle/2453/4712</a></p>
SiWiRoRa - Simulated Wind-turbine Rotor-blade Radargrams
<h1>SiWiRoRa</h1> <p>SiWiRoRa stand for '<strong>Si</strong>mulated <strong>Wi</strong>nd-turbine <strong>Ro</strong>tor-blade <strong>Ra</strong>dargrams'.</p> <h2>Overview</h2> <p>A novel kind of dataset comprised of 9504 grayscale images (quadratic, 224 px) representing simulated radargrams. SiWiRoRa enables analytical machine-learning experiments in the emerging area of radar-based computer-vision research on wind-turbine rotor blades. Here, radargrams are images showing distance on the horizontal x-axis (increasing from left to right) and time on the vertical y-axis (increasing from top to bottom) as well as reflected intensity given by the colorscale (increasing from black to white).</p> <h2>Details</h2> <p>Geometries have been modeled using Cyberbotics Webots (1188 different configurations) and stochastic elements have been added in post-processing (additional 8 independent repetitions per 1 configuration). Besides this aforementioned stochastic noise, the dataset has a full-factorial design consisting in... </p> <ul> <li>9 distinct levels of rotor speeds (clockwise rotation when viewed from the exterior onto the rotor and the radar behind it)</li> <li>11 levels of the yaw angles (between radar direction and nacelle orientation)</li> <li>6 variations of wind pressure (forcing the rotor closer to the radar)</li> <li>2 different time offsets (corresponding to alternative triggers of the radar)</li> </ul> <p>Geometries have been chosen so as to yield non-axisymmetrical radargrams (even apart from noise).</p> <h2>Acknowledgements</h2> <p>The present dataset complements and has been inspired by the field measurements published under</p> <p>https://doi.org/10.5281/zenodo.8366654</p> <p>(Hyperlink is provided in the References section).</p>
Dataset associated with publication "Direct observation of coherence transfer and rotational-to-vibrational energy exchange in optically centrifuged CO2 super-rotors" to be published in Nature Communications
<p>This dataset contains all data to compose figures in the associated manuscript. Some of the images are presented in MatLab .mat files. If a different format is needed, please contact the corresponding author. </p>
Demonstrator of a rotor-fed asynchronous start for a Salient Pole Wound Field Synchronous Machine
<p>The video shows the asynchronous run-up (up to ca. 620 rpm) of a four pole, 60 kVA, 400V, 50 Hz salient pole synchronous generator. The run-up is obtained by AC-supplying a special rotor winding arrangement, capable of both exciting the machine at synchronism and providing a multiphase rotating MMF during the run-up. The armature phases, which have two parallel current paths, are conveniently short-circuited during the rotor acceleration. </p>
Noise production by a Savonius type wind turbine- a comparison between single and five segment rotor.
<p>The following data set contains acoustic evaluation results from experimental studies performed on Savonius wind turbine. </p> <p>Noise from a typical single segment Savonius wind turbine has been compared to that of its five segment counterpart. This comparison is mainly conducted for three case:</p> <p> </p> <p>1. when rotor is loaded (giving us max coefficient of performance)</p> <p>2. when the rotor is not loaded (free rotation)</p> <p>3. when the rotor is stopped. </p> <p> </p> <p>Power characteristics of the two rotors have also been plotted, allowing to establish a comparison between noise and power produced.</p> <p> </p> <p> </p> <p> </p>
Data from: Performance characteristics and bluff-body modeling of high-blockage cross-flow turbine arrays with varying rotor geometry
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Finite Element model data for Academic Rotor bladed-disc system
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Vintage Boat Rotor - Free Download
Happy to share this cut out from a bigger scan, coming out later sometime.. Aligned and Textured with Realitycapture - Raw 2.8mil on normal calc. Retopology, Maps and Cleanup with Zbrush - 10K retopology Texture delighting with Agisoft Delighter - 3 times to get decent results Source: Objaverse 1.0 / Sketchfab
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