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3,688 results for “Milling”
Digitization Workflow for Data Mining in Production Technology applied to a Feed Axis of a CNC Milling Machine
<p>Dataset accompanying the publication "Digitization Workflow for Data Mining in Production Technology<br>applied to a Feed Axis of a CNC Milling Machine" (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.procs.2024.01.017" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.procs.2024.01.017</span></a>).</p>
Milling process energy consumption
<p>This dataset is about a CNC machine performing milling processes<br>Each observation means one particular milling process with the machine</p> <p>Axis - the machine's cutting tool was moving along axis X/Y/Z<br>Feed [mm/min] - the cutting tool moved at this speed<br>Path [mm] - the cutting tool moved this distance</p> <p>Energy requirement [kJ] - energy consumption of the process </p>
Simulation cases of a lab-scale wet-operated stirred media mill using coupled CFD-DEM
<p>Simulation cases described in the article, "Coupled CFD-DEM simulation of pin-type wet stirred media mills using immersed boundary approach and hydrodynamic lubrication force", DOI: <a href="https://doi.org/10.1016/j.powtec.2024.120060" rel="nofollow">https://doi.org/10.1016/j.powtec.2024.120060</a></p> <p><strong>Pre-requisites:</strong> LIGGGHTS, OpenFOAM-6, cfdemCoupling, and their corresponding dependencies, Python (>3.6)</p> <p>*The versions of simulation softwares used in the simulation cases are taken from Institute for Particle Technology's (iPAT) GitLab repository: <a href="https://git.rz.tu-bs.de/partikeltechnik/" rel="nofollow">https://git.rz.tu-bs.de/partikeltechnik/</a></p> <p>To run the simulations in this repository, one should first install the pre-requisites i.e., LIGGGHTS, OpenFOAM-6 and cfdemCoupling. The repositiries can be found at Institute for Particle Technology's GitLab (<a href="https://git.rz.tu-bs.de/partikeltechnik/" rel="nofollow">https://git.rz.tu-bs.de/partikeltechnik/</a>) if not, they shall be requested.</p> <p>Running the simulations in the repositories includes, generation of the cases in "Base_Cases_Init", using the "generateCases.py" file (Python3), then run the "variables_Modify.py" file. Running of the "jobfile_Modify.py" and "jrun.py", sequentially, will submit the simulations to a HPC cluster. After the successful run of these simulations, the cases in the folders "Base_Cases_Stable" and "Base_Cases_Stable_Lubrication" can be launched in the same manner as described above, i.e., sequentially running "generateCases.py", "variables_Modify.py", "jobfile_Modify.py" and "jrun.py" (one needs to check if the corresponding restart files are existing in the Base_Cases_Stable*/Base_Case_Stable/Restart folder, which are generated from the "Base_Cases_Init" runs). Following this, the cases in "Base_Cases_Run_800_um", "Base_Cases_Run_1100_um", and "Base_Cases_Run_Lubrication" can be run using the same method as described above (one needs to check if the corresponding restart files are existing in the Base_Cases_Run*/Base_Case_Run/Restart folder, which are generated from the "Base_Cases_Stable" runs). After successfully running of the simulations the python file "generateAndRunPostFiles.py", in each of the corresponding "Base_Cases_Run_800_um", "Base_Cases_Run_1100_um", and "Base_Cases_Run_Lubrication" folders should be run.</p> <p> </p> <p> </p> <p> </p> <p><strong>Description:</strong> This repository provides the simulation cases to generate and run the simulation cases of the "stirred media mill" (MiniCeR). The simulations are setup to couple the CFD and DEM via two-way coupling and the corresponding files in the "Run" folder contain the post-processing scripts to extract the "collision/stress energies" and assemble them into a "collision/stress energy distribution". The simulations are setup in three stages, namely, "Init", "Stable", and "Run". The combinations of operating settings can be easily modified and the respective cases can be generated using the python scripts in the corresponding repositories. The scripts to run the simulations on the HPC-cluster systems are also added.</p> <p><strong><em>a. Init:</em></strong> This stage is to initialize the system with the particles. Three insertion faces are used to generate and insert the required number of particles (calculated according to their size and filling degree) into the system. The "base case" folder contains the necessary DEM scripts of the case setup and the required CAD (geometry) files. The python script "generateCases.py" generates the requested simulation cases according to the specified operating settings. It uses the help of "MakeCases.sh". The "variables_Modify.py" file modifies the variables in the generated folders of the simulation cases to alter the operation setting values. The "jobfile_Modify.py", and the "jrun.py" are used to modify the cluster job files and run the submit the simulation jobs onto the cluster, respectively.</p> <p><strong><em>b. Stable:</em></strong> This is the first stage couples the CFD and DEM. The restart files generated in the "Init" stage are used to start the coupling and run for a specified time. It follows the similar system as init, i.e., to generate the cases and modify the variables, but with additional generation and modifications in the CFD folder i.e., the mesh generation, etc. The simulations are launched in the same way as described above and the corresponding restart files are extracted.</p> <p><strong><em>c. Run:</em></strong> This second stage of the coupling of CFD and DEM launches the srabilized system and extracts the collision energies and stores them in ".txt" files which are postprocessed later to assemble the stress energy distribution. The post-processing to extract the stress energy distribution is done using the "Stress_Energy_Calculation.py" and "generateAndRunPostFiles.py", which generate corresponding folders of post-processing in each of the corresponding case folders.</p>
Metadata of "Solvent-free Reactions for the Synthesis of Indolenine-based Squaraines and Croconaines: Comparison of Thermal Heating, Mechanochemical Milling, and IR Irradiation"
<p>Metadata of "Solvent-free Reactions for the Synthesis of Indolenine-based Squaraines and Croconaines: Comparison of Thermal Heating, Mechanochemical Milling, and IR Irradiation"</p>
Four-point six-loop super-Yang-Mills integrand
<p>The integrand contains data for 151653 diagrams, which are split between two types of files.<br> First is the complete list of graphs in Graphs_SYM_6L. The diagram count can quickly be verified by running the terminal command</p> <p>$ wc -l Graphs_SYM_6L</p> <p>The notation for each graph is as follows:</p> <p>g[k, v, i] -> {vertex_1, vertex_2, vertex_3, vertex_4,…}</p> <p>where each vertex is composed of a list of integers that correspond to outgoing edge (or leg) labels</p> <p>vertex_j = {edge_1, edge_2, edge_3,…}</p> <p>where edge labels that are negative correspond to incoming legs. </p> <p>The momenta of the graph edges satisfy</p> <p>p_{edge} = -p_{-edge},</p> <p>\sum_{edge \in vertex} p_{edge} = 0, </p> <p>and for convenience we only make use of the independent momenta p_1 through p_9, where p_1, p_2, p_3 are the independent external momenta, and p_4, p_5, p_6, p_7, p_8, p_9 are the independent loop momenta. (The fourth external leg is here denoted by edge = 0, and we do not use its momentum.)</p> <p>The graphs are labeled by the shorthand name g[k, v, i] where k is the (Next-to)^k-maximal-cut level that they contribute to, and v is an index that groups the graphs according to which vacuum topology they belong to, and i is an index that distinguishes graphs of the same {k,v} class.</p> <p>For cubic vertices, {edge_1, edge_2, edge_3}, the ordering of the vertex is in one-to-one correspondence with the ordering of the color factor f^{a_{edge_1} a_{edge_2} a_{edge_3}}. Whereas for quartic and higher degree vertices, the information of the color factor is included in the numerator. As a consequence, the cubic vertices are ordered, whereas the higher degree vertices are unordered.</p> <p>The numerators corresponding to the diagrams are labeled as n[k, v, i] and they are collected into separate files Numers_SYM_6L_k_v according to their {k,v} class. Verifying the total number of numerators can be accomplished via</p> <p>$ wc -l Numers_SYM_*</p> <p>where the total result should be 151653.</p> <p>All numerators contain Lorentz products between momentum, given by</p> <p>dij = p_i . p_j</p> <p>For k>= 1, the numerators also contain color factors c[vertex_i] for each higher-than-cubic vertex. Each vertex's color factors have been reduced to an arbitrary (n-2)! half-ladder (Del Duca-Dixon-Maltoni [hep-ph/9910563]) basis for that vertex.</p> <p>This description is reproduced in the "ancillary_readme" file.</p> <p>Since Zenodo does not currently provide a "Download All" button, we suggest you use a Zenodo-targeted downloading tool like <a href="https://doi.org/10.5281/zenodo.1261812">Zenodo_get</a>. We will provide a ZIPed version in a future upload.</p>
Gene flow between wild trees and cultivated varieties shapes the genetic structure of sweet chestnut (Castanea sativa Mill.) populations
<p>The sweet chestnut orchards (<em>Castanea sativa</em> Mill.) are traditionally planted in the northern Adriatic region. This study investigates their population structure, as well as the genetic background of three toponymous clonal varieties. Six genomic simple sequence repeat (gSSR) and nine EST-derived SSR (EST-SSR) loci were utilized in this study. We have identified five closely related clones, which represent a singular, polyclonal marron variety, found in all three cultivation areas, acompanied by many hybrids, resulting from the breeding between cultivated and wild chestnuts. </p>
Stoates Mill Machinery
Machinery next to the old Stoates Mill, Watchet. Couldn't get all the way around it as there was a car parked on the left hand side. Shot with a Canon 700D on the 6th of August, 2022. Rendered in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Magnolia Mill Alma, Colorado
Historic ore mill, the Magnolia Mill at Montgomery Reservoir Alma, Colorado. https://www.onlyinyourstate.com/colorado/abandoned-magnolia-mill-co/ Source: Objaverse 1.0 / Sketchfab
Pattern 1770 from House Mill
The Pattern 1770 is one of 2661 wooden mechanical patterns from the pattern store on the second floor of the House Mill (Location: https://goo.gl/maps/MuzyR47wtoZfDWNM7/) . Those patterns were made by carpenters as the precise wooden replica of every single part of different machines to cast replacement components for broken machines. Pattern 1770 is a representative poor-conditional pattern with breaks and cracks due to the drying out of the softwood, and with historic decay due to the woodworm. The House Mill official website: https://housemill.org.uk/ Source: Objaverse 1.0 / Sketchfab
The Mill Girl
The Mill Girl by Antoinette Prien Schultze in Manchester New Hampshire. Like many towns on the Merrimack River in New England they experienced immense growth from the Industrial Revolution in particular the textile industry. The textile mills were one of the first to employ women on a massive scale. This statue represents those women who are largely forgotten as a key factor in Americas explosive growth. Raw scan with no editing in an external 3d program. Created in RealityCapture by Capturing Reality from 137 images in 00h:17m:52s. Source: Objaverse 1.0 / Sketchfab
Moinho manual/ Hand mill
Instrumentos de pedra utilizados para triturar e moer grão fazendo uso exclusivo de força manual. A peça inferior, que se mantém estática, designa-se por dormente. A peça mais pequena - designada de movente - seria friccionada, manualmente, sobre o dormente. Entre as duas era colocado o material que se pretendia moer. Esta tecnologia surge durante o Neolítico, sendo utilizada ao longo da pré-história. Stone device used to crush and grind grain using only manual force. The lower piece remains static, while the smallest piece would be manually rubbed over it. The material to be milled was placed between the two. This technology appears during the Neolithic, being used throughout prehistory. ÉPOCA/PERIOD Neolítico/Neolithic PROVENIÊNCIA/SOURCE Dormente - [Anta Maior de Pedralta](http://u.osmfr.org/m/543623/#19/40.78543/-7.82703) (Cota, Viseu) ACERVO/COLLECTION Coleção Arqueológica José Coelho, s/no Source: Objaverse 1.0 / Sketchfab
Cheney Mills Spool
From Cheney Mills, Manchester, CT. Scanned with Artec Space Spider structured light scanner. Source: Objaverse 1.0 / Sketchfab
Marrick High and Low Smelt Mills and Peathouses
Marrick High and Low Smelt Mills and Peathouses in Swaledale. https://historicengland.org.uk/listing/the-list/list-entry/1015824 3D LIDAR model processing: Many thanks to @jost_hobic, Cotswold Archaeology and @M_J_Gill, Avon Valley Archaeology Society. Procedure further modified by Stephen Eastmead (@spe_ny), webmaster'@'altogetherarchaeology.org Source: Objaverse 1.0 / Sketchfab
Old_flour_mill
Old flour mill by Guliev from Cross city The building was built in 1908 by the oligarch Guliyev. The building was printed on postcards at the beginning of the last century. During the Second World War, the Gestapo headquarters was located here. Maked with blender 2.82 and Substance Painter. https://goo.gl/maps/nviA13Twp6vVfUvP6 Source: Objaverse 1.0 / Sketchfab
Donkey Mill Reconstruction
A Roman grain mill that was turned by a donkey, mule or horse. Found (upper stone) at Princes Street, London. Now located in the Museum of London. The upper stone is original (and was imported from Germany), the rest is reconstructed. Date: 1st - 2nd Century https://collections.museumoflondon.org.uk/online/object/444964.html 146 photos taken in November 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Roman Sea Mills - The Roman Ruins at Sea Mills
A Roman port town settled on the banks of the Avon between 1st and 2nd Cent. AD. The town, called Abonae by the Romans, appears to have supplied the settlement and fort of Caerleon across the Bristol channel (about 38km away to the north-west by boat). In 1934 Selley, a keen armature archaeologist, was given permission to "make some trial holes" to the east of Martin and Tratman where he uncovered more walls. Shelley's excavations are rather controversial, as nothing is recorded beyond occasional notes of finds and purchases of artefacts in his diaries. These walls are all that is left. This is a 3D record of the roman ruins, used as part of a 3D reconstruciton of the site as part of my PhD research project. You can [read more about the project and the PhD on my website](https://abirkett.cargo.site/), and [more about the reconstruciton process here](https://abirkett.blogspot.com/). Source: Objaverse 1.0 / Sketchfab
Small old mill | Photogrammetry
It finally snowed in Switzerland so I decided to 3D scan something covered in snow. I found this old mill in front of the local museum. This was also the first time I really tried photogrammetry. I'm quite happy with the result! Source: Objaverse 1.0 / Sketchfab
Owings Upper Mill
Built in the early 1790s, [**Owings Upper Mill**](https://mht.maryland.gov/nr/NRDetail.aspx?NRID=496) is both the largest and oldest surviving grist mill in Baltimore County. Although the color has faded, the words "Eureka Flour Mill" are written in purple brick on the side facing the street. Created with 923 images taken with a DJI Mavic Mini and processed in Metashape. Source: Objaverse 1.0 / Sketchfab
Reading Abbey Mill Arch
This is a model of the Reading Abbey Mill Arch located in Reading, Berkshire, United Kingdom. The mill was part of the medieval abbey, and was part of a working mill up until its demolition in the 1950s. Longitude, Latitude: 51.455384, -0.966725 Google Maps link: [https://www.google.co.uk/maps/place/51°27'19.4%22N+0°58'00.2%22W/@51.455384,-0.9672735,19z/data=!3m1!4b1!4m5!3m4!1s0x0:0x0!8m2!3d51.455384!4d-0.966725](http://https://www.google.co.uk/maps/place/51°27'19.4%22N+0°58'00.2%22W/@51.455384,-0.9672735,19z/data=!3m1!4b1!4m5!3m4!1s0x0:0x0!8m2!3d51.455384!4d-0.966725) Source: Objaverse 1.0 / Sketchfab
Biogeographic patterns in the Chocó region: A case study of Inga Mill (Leguminosae)
<p>This thesis addresses the Chocó region, recognized as one of the wettest, most biodiverse, and least documented areas on Earth. Here, I present a new ecological delimitation of the Chocó, integrating climatic and geographical data. The proposed area differs from previous delimitations because it includes geographically contiguous and climatically similar rain forests distributed throughout southern Panama, the Colombian Pacific, the humid system of the Magdalena River in northern Colombia, and northern Ecuador, covering an area of 162,800km². The genus <em>Inga</em> (Leguminosae: Caesalpinioideae) is employed as a model to elucidate the biogeographic patterns driving the historical assembly of the flora in this region. While the diversity of the Chocó is explained by its isolation by the Andean cordillera, and it has been classified as the oldest and most isolated Pleistocene refuge in the Neotropics, recent studies suggest plant migration as a complementary phenomenon enhancing its floristic diversity. <em>Inga</em>’s species diversity is concentrated in the Amazon basin (145 species), yet its presence in the Chocó is scantily studied and here I show 78 species and morphological variants of species to be present in the Chocó, nearly doubling estimates in recent taxonomic accounts. This new estimate of species number for the Chocó is based on fieldwork, taxonomic studies of herbarium specimens and phylogenetic analysis of target-capture DNA sequences. Biogeographic analysis using BioGeoBears highlights the role of both dispersal and <em>in-situ</em> speciation in developing the species diversity of Inga in the Chocó after first colonization approximately 10 million years ago. Finally, two new species of <em>Inga</em> (<em>Inga calimaensis</em> and <em>Inga crassanectaria</em>), endemic to the Chocó are described. This study contributes to understanding both the diversification of the flora of the Chocó and refining the taxonomy of the genus <em>Inga</em>.</p>
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.