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126 results for “Welding”
The Measurement and Prediction of Phase Transformation Kinetics in a Nuclear Steel During Weld-Like Thermal Cycles: supporting data
<p>The Excel files contain the raw dilatometry data for the FGHAZ and CGHAZ experiments, with the spreadsheet used to calculate the modified offset also included. </p> <p>The .tif files are the raw 2D images acquired during synchrotron X-ray diffraction experiments. The sample-detector distance was approximately 1400 mm. Please see the publication for further details (or contact the corresponding author). </p>
Heat Treatment Optimisation of Electron Beam Welded Reactor Pressure Vessel Steel
<p>Supporting data for journal publication: "Heat Treatment Optimisation of Electron Beam Welded Reactor Pressure Vessel Steel". All the paper authors contributed to this data. </p>
EBSD datasets for low-alloy steel weld metals - Arc, Laser, and Laser-hybrid welding
<p>Example open access datasets for low-alloy structural steel weld metals, previously published in ref. [1]. The datasets are also related to the International Institute of Welding Commission C-IX, document nr. IX-L-1239-2021.</p> <p>Files included:</p> <ul> <li>The nomenclature of the files corresponds to what is used in ref. [1].</li> <li>CV_3.crc/cpr: Conventional arc weld, 3/5 mm t-joint</li> <li>HY_1.crc/cpr: Laser-hybrid weld, 3mm butt-joint</li> <li>LA_1.crc/cpr: Laser weld, 3mm butt-joint</li> </ul> <p>The methodology for analysing grain size and dislocation sub-structures is found at: <a href="../record/5053377">https://zenodo.org/record/5053377</a> and <a href="https://doi.org/10.5281/zenodo.4430623">https://doi.org/10.5281/zenodo.4430623</a></p> <p>For further information visit: Aalto University Wiki - <a href="https://wiki.aalto.fi/display/GSMUM">https://wiki.aalto.fi/display/GSMUM</a> and <a href="https://wiki.aalto.fi/display/EMDIDS">https://wiki.aalto.fi/display/EMDIDS</a></p> <p><strong>Refererences:</strong></p> <ul> <li>[1] Materials Science and Engineering: A, 2014; 592: 28-39, <a href="http://dx.doi.org/10.1016/j.msea.2013.10.094">http://dx.doi.org/10.1016/j.msea.2013.10.094</a></li> <li>[2] Welding in the World. 2016; 60: 673-678. <a href="http://dx.doi.org/10.1007/s40194-016-0318-8">http://dx.doi.org/10.1007/s40194-016-0318-8</a></li> <li>[3] Ultramicroscopy 2021, Volume 222, <a href="https://doi.org/10.1016/j.ultramic.2021.113203">https://doi.org/10.1016/j.ultramic.2021.113203</a></li> </ul>
Preparation of orthodontic arch wire by laser welding of Ti/TiNi dissimilar alloys
<p>TiNi shape memory alloy has good biocompatibility and superelasticity on the basis of certain strength and stiffness. In<br> the process of tooth correction, stainless steel of composite orthodontic arch wire is used as the support of supporting<br> teeth. TiNi alloy of composite orthodontic arch wire is used to correct the dislocation teeth. Compared with the traditional<br> stainless steel arch wire, composite orthodontic arch wire can reduce the pain of patients. In this experiment, laser welding<br> was carried out by filling Cu filler metal. Laser centering welding and laser offsetting welding were used respectively, and<br> the joint strength was compared. It was found that laser offsetting welding can effectively reduce the content of interface<br> intermetallic compounds and improve the joint strength.</p>
Wikidata Dump Welding
<p> RDF dump of wikidata produced with <a href="https://tools.wmflabs.org/wdumps/">wdumps</a>. </p> <p> <br> <a href="https://tools.wmflabs.org/wdumps/dump/1757">View on wdumper</a> </p> <p> <b>entity count</b>: 35, <b>statement count</b>: 196, <b>triple count</b>: 2823 </p>
Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors
<p>In this folder, .csv files and Matlab scripts for processing data from experimental campaign that has been reported in the following paper:<br> Chianese, G., Franciosa, P., Nolte, J., Ceglarek, D., and Patalano, S., “Characterization of photodiodes for detection of variations in part-to-part gap and weld penetration depth during remote laser welding of copper-to-steel battery tab connectors.” Journal of Manufacturing Science and Engineering. In-press.</p> <p>As the experimental campaign is made up of two phases, files are divided in two folders:<br> (i) Phase I - Weld penetration depth; and,<br> (ii) Phase II - Part-to-part gap.</p> <p>In each of these two folders, there are:<br> (i) a Matlab live script that, once the code is run, allows the user to select the signals (please, select all of them);<br> (ii) functions to run the code;<br> (iii) Matlab variable files;<br> (iii) a folder with .csv files that contain signals recorded during experimental campaign;<br> (iv) an Excel file reporting experimental setup and process parameters;<br> (v) a PDF file with the live script and results of the data processing for the readers that cannot run Matlab codes.</p>
Motion Planning Integration on ABB Robot Manipulator for Robot Welding
<p>Integration of Motion Planning based on Moveit Robot Operating System (ROS) on ABB Robot Manipulator for Robot Welding. Stochastic Trajectory Optimization for Motion Planning (STOMP) and Rapidly exploring Random Tree Star (RRT*) are used in this implementation. STOMP is used as primary path planner as it has less computation time whereas RRT* is used as failsafe if STOMP fails to compute a plan.</p>
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of county area in units of squareKilometers on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains county area measurements in squareKilometers units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of number of farms in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains number of farms measurements in number units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of farmland acres (total) in units of acre on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains farmland acres (total) measurements in acre units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of population employed in commerce (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains population employed in commerce (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of population employed at farms (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains population employed at farms (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of population employed in manufacturing (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of population employed in service (percent of total) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains population employed in service (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of percent urban population in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of human population density in units of numberPerKilometerSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of human population (total) in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains human population (total) measurements in number units and were aggregated to a yearly timescale.
Shortgrass Steppe site, station Weld County, CO (FIPS 8123), study of population (urban) in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Shortgrass Steppe (SGS) contains population (urban) measurements in number units and were aggregated to a yearly timescale.
Datasets of high spatial resolution scans of the airborne ultrasound field at the front, back and left side of an ultrasonic welding machine
<p>This dataset contains measuring data which are the result of investigations of the airborne ultrasound field of an ultrasonic welding machine. These investigations have been conducted within the scope of the EMPIR project 15HLT03: “Ears II - Metrology for modern hearing assessment and protecting public health from emerging noise sources”. In the context of “Ears II”, they served gaining knowledge for occupational safety and health. Here, the aim was to investigate the structure of the airborne ultrasound field at ultrasound related workplaces. Therefore, a reference workstation was set up in the laboratory of the Physikalisch-Technische Bundesanstalt (PTB). The airborne ultrasound field of a typical industrial source of airborne ultrasound (an ultrasonic welding machine) was measured with a scanning microphone system with a high spatial resolution.</p> <p>The dataset contains data of 6 measurements:</p> <ul> <li>At the back of the ultrasonic welding machine at a vertical surface with dimensions 168 cm x 150 cm (width x height)</li> <li>At the left side of the ultrasonic welding machine at a vertical surface with dimensions 168 cm x 150 cm (width x height)</li> <li>At the front of the ultrasonic welding machine at a horizontal surface with dimensions 168 cm x 75 cm (width x depth)</li> <li>At the front of the ultrasonic welding machine at a vertical surface with dimensions 168 cm x 150 cm (width x height) with a distance of 24 cm to the sonotrode</li> <li>At the front of the ultrasonic welding machine at a vertical surface with dimensions 168 cm x 150 cm (width x height) with a distance of 99 cm to the sonotrode</li> <li>At the front of the ultrasonic welding machine in a volume with dimensions 58 cm x 33 cm x 50 cm (width x depth x height) </li> </ul> <p>The measuring data is the square of the absolute value of the discrete Fourier transform of the signal voltage re 1 V<sup>2</sup> represented in the frequency domain, converted by fast Fourier transform, in the frequency range 0 – 100 kHz with a frequency resolution of 15.625 Hz. The data can be converted to sound pressure levels (SPL) using the calibration values published as a supplementary dataset.</p>
Rotary Friction Welding of short raws
<p>This video shows a dissimilar rotary friction weld of a titanium tube with an aluminum tube.</p> <p>This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 785289.</p>
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