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165 results for “mechanical properties”
Supplementary data for study on "Superplastic 3D printed nitinol woven metamaterials lead to dramatic variations of mechanical properties by design"
<p>Raw and processed data from experimental compression testing of 3D printed nitinol lattices and wovens are provided as supplementary materials for the mentioned study, submitted for evaluation to the journal of Virtual and Physical Prototyping.</p>
Mechanical properties of Nevado del Ruiz - St. Isabel volcanoes
<p><strong>Description and structure of the data </strong><br> Data of static and dynamic mechanical material properties organized in 6 columns. The first three columns contain the position in UTM coordinates (UTM zone 18N): easting, northing, and depth (positive numbers refer to points above the mean sea level and negative numbers to points below the sea level). The last three columns contain Poisson’s dynamic ratio, Young’s static modulus, and density. The first row of the file is dedicated to the following header: UTM_x (m), UTM_y (m), Z (m), Poisson_dy, Young_st (GPa), density (kg/m^3)</p> <p><strong>Static and dynamic mechanical elastic properties</strong></p> <p>The dynamic elastic properties are calculated from P-wave (Vp) and S-wave (Vs) tomographic velocities, derived from the seismicity recorded by the Colombian Geological Survey - Volcanological and Seismological Observatory of Manizales (OVSM) between January 1st, 2016 and February 19, 2019.</p> <p>Empirical relationships are used for the conversion into static values <a href="https://www.zotero.org/google-docs/?BltUnS">(Hautmann et al., 2013; Wang, 2000)</a>. The relationship between dynamic Young’s modulus (<span class="math-tex">\(E_{dy}\)</span>) and shear wave velocity, Vs, inferred from the tomography <a href="https://www.zotero.org/google-docs/?TLLWSb">(Telford et al., 1976)</a> is<strong> <strong><span class="math-tex">\(E_{dy} = 2\rho\left( 1+\nu_{dy} \right)V_{s}^2\)</span></strong></strong></p> <p>where ρ is density <a href="https://www.zotero.org/google-docs/?HcYYHH">(Jaeger, 2007)</a>, defined through the Nafe-Drake empirical curve <a href="https://www.zotero.org/google-docs/?hTnbN9">(Brocher, 2005)</a> that describes the density (g/cm3) as function of Vp between 1.5 km/sec and 8.5 km/sec:</p> <p><span class="math-tex">\(\varrho=1.6612V_{p}-0.4721{V}_{p}^{2}+0.0671{V}_{p}^{3}-0.0043{V}_{p}^{4}+0.000106{V}_{p}^{5}\)</span></p> <p>and the dynamic Poisson’s modulus, <span class="math-tex">\(\nu_{dy}\)</span>, is calculated from the relationship of Vp and Vs, as in the case of an isotropic medium for lack of better information (i.e. borehole tests), with the following formula <a href="https://www.zotero.org/google-docs/?VD2VWu">(Guéguen and Palciauskas, 1994; Heap et al., 2014)</a>:</p> <p><span class="math-tex">\({\nu}_{dy}=\frac{V_{p}^2-2V_{s}^2}{2(V_{p}^2-V_{s}^2)}\)</span></p> <p>The values of the dynamic Young’s modulus derived, <span class="math-tex">\(E_{dy}\)</span>, increase from 12 GPa to 135 GPa, while the range of dynamic Poisson’s ratio values is between 0.17 and 0.30.</p> <p>In order to convert the dynamic values of the Young modulus into static values, we apply a standard empirical relationship <a href="https://www.zotero.org/google-docs/?Zir7pl">(Wang, 2000)</a>: </p> <p><span class="math-tex">\(E_{st} = 0.415\times E_{dy} (GPa) - 1.056\)</span></p> <p><br> The resulting values for <span class="math-tex">\(E_{st}\)</span> of the upper crust is from 5 GPa to 56 GPa.</p> <p> </p> <p><strong>References</strong></p> <p><strong>Brocher</strong>, T.M., 2005. Empirical relations between elastic wavespeeds and density in the Earth’s crust. Bulletin of the Seismological Society of America 95, 2081–2092. https://doi.org/10.1785/0120050077<br> <strong>Guéguen</strong>, Y., Palciauskas, V., 1994. Introduction to the Physics of Rocks, Princeton University Press. ed. Princeton, New Jersey.<br> <strong>Hautmann</strong>, S., Hidayat, D., Fournier, N., Linde, A.T., Sacks, I.S., Williams, C.P., 2013. Pressure changes in the magmatic system during the December 2008/January 2009 extrusion event at Soufrière Hills Volcano, Montserrat (W.I.), derived from strain data analysis. Journal of Volcanology and Geothermal Research 250, 34–41. https://doi.org/10.1016/j.jvolgeores.2012.10.006<br> <strong>Heap</strong>, M.J., Baud, P., Meredith, P.G., Vinciguerra, S., Reuschlé, T., 2014. The permeability and elastic moduli of tuff from Campi Flegrei, Italy: implications for ground deformation modelling. Solid Earth 5, 25–44. https://doi.org/10.5194/se-5-25-2014<br> <strong>Telford</strong>, W.M., Geldart, L.P., Sheriff, R.E., Keys, D.A., 1976. Applied Geophysics. Cambridge University Press, Cambridge.<br> <strong>Wang</strong>, Z., 2000. Dynamic versus static elastic properties of reservoir rocks, in: Seismic and Acoustic Velocities in Reservoir Rocks. Soc. of Explor. Geophys., Tusla, Oklahoma, pp. 531–539.</p> <p> </p> <p>This dataset is one of the results of PICVOLC project. PICVOLC has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 793811.</p> <p> </p> <p> </p>
Dataset for publication Sikora P., El-Khayatt A.M., Saudi H.A., Liard M., Lootens D., Chung S.-Y., Woliński P., Abd Elrahman M. Rheological, mechanical, microstructural and radiation shielding properties of cement pastes containing magnetite (Fe3O4) nanoparticles. International Journal of Concrete Structures and Materials (2023), 17, 7
<p>Open dataset for publication Sikora P., El-Khayatt A.M., Saudi H.A., Liard M., Lootens D., Chung S.-Y., Woliński P., Abd Elrahman M. Rheological, mechanical, microstructural and radiation shielding properties of cement pastes containing magnetite (Fe3O4) nanoparticles. International Journal of Concrete Structures and Materials (2023), 17, 7. https://doi.org/10.1186/s40069-022-00568-y</p> <p>File 1 - X-ray diffractogram and particle size distribution (laser granulometry) data - *.opju (Origin)<br> File 2 - Rheological test results - *.opju (Origin)<br> File 5 - Mechanical peformance (early strength - ultrasounds and compressive strength) and density test results - *.opju (Origin)<br> File 4 - Mercury intrusion porosimetry test data - *.opju (Origin)</p>
Mechanical Shaker Experiments: Amsterdam Study into the Properties of Wearable Accelerometers (ASPWA)
<p><strong>Mechanical Shaker Experiments: Amsterdam Study into the Properties of Wearable Accelerometers (ASPWA)</strong></p> <p>A description of the data files in this archive can be found in: 20230816_Documentation-raw-folder-structure.pdf</p> <p>If you have a question:</p> <ol> <li>use the search functionality <a href="https://github.com/wadpac/mechanicalshakerexperiments/issues">here</a> to see if someone already experienced the same issue;</li> <li>if your search did not yield any relevant results, please start a new conversation.</li> </ol>
Data from: Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys
<p>This dataset contains the data for the publication " Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys".</p>
Mechanical and hydraulic transport properties of transverse-isotropic Gneiss deformed under deep reservoir stress and pressure conditions.
<p>"This is the ReadMe file corresponding to the study entitled: "Mechanical and hydraulic transport properties of transverse-isotropic<br> Gneiss deformed under deep reservoir stress and pressure conditions" <br> <br> "By M. Acosta, & M. Violay." <br> <br> This study has been published in the International Journal of Rock Mechanics and Mining Sciences in June 2020. <br> https://doi.org/10.1016/j.ijrmms.2020.104235<br> <br> This Read-Me file has been last edited on 2020-06-31 <br> <br> This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact mateo.acosta@epfl.ch <br> <br> The following files are included: <br> <br> --- Regarding Figure 3. <br> <br> "1) ""Acosta_et_al_2020_Figure3Data.xlsx"" " <br> This is the processed data from the experiments described in Figure1 of the article. <br> "In this .xlsx File, each sheet corresponds to one figure panel as follows: " <br> <br> Fig.3: One experiment example<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>--- Regarding Figure 4. <br> <br> "1) ""Acosta_et_al_2020_Figure4Data.xlsx"" " <br> This is the processed data from the experiments described in Figure1 of the article. <br> "In this .xlsx File, each sheet corresponds to one figure panel as follows: " <br> <br> Fig.4a&g: Beta=0deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4b&h: Beta=30deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4c&i: Beta=45deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4d&j: Beta=60deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4e&k: Beta=90deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4f&l: LPG<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>--- Regarding all other Figures, the tables provided in the article allow reproduction of these.</p> <p> </p>
In-house 3-D printed aligners: effect of in vivo ageing on mechanical properties
<p>Dataset for all analyses in the paper.</p>
Effect of Strain Amplitude on Static and Dynamic Mechanical Properties of Tight Sedimentary Rocks: An Experimental Study
<p>We perform increasing-amplitude triaxial unload cycling tests on three tight sedimentary rocks to investigate the strain-dependent mechanical properties. </p>
Comparison of Friction Properties Among Diverse Conventional-Ligating Lingual Bracket Systems According To Tooth Displacement During Leveling And Alignment: An In Vitro Mechanical Study
<p>The purpose of this study was to evaluate the effects of tooth displacement on frictional force when conventional-ligating lingual brackets (CL-LB), CL-LBs with narrow bracket width and customized CL-LBs were used with leveling/alignment wire. </p> <p>CL-LBs (7<sup>th</sup>Generation), CL-LBs with narrow bracket width (STb) and customized CL-LBs (Incognito) were tested under three conditions of tooth displacement [no displacement (control); 1mm palatal displacement (PD) of the maxillary right lateral incisor (MXLI); and 1mm gingival displacement (GD) of the maxillary right canine (MXC)](9 groups, <em>n</em>=6 per group). Static (SFF) and kinetic frictional forces (KFF) were measured in a stereolithographic typodont system and artificial saliva while drawing a 0.016-inch copper or super-elastic nickel-titanium archwire at a speed of 0.5 mm/min for 5 minutes at 36.5°C.</p>
Data for "Ultimate molecular mechanical properties of polyolefin chains"
<p>LAMMPS input and data files, force field files, sample simulation outputs, and Jupyter notebooks used for the data analysis.</p>
data supporting ''Tuning the mechanical properties of organophilic clay dispersions: Particle composition and preshear history effects''
Open the record for dataset details and reuse information.
Raw data collection for the publication P. Pötschke, T. Villmow, B. Krause and B. Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites
<p>This data collection contains the raw data for the publication <br>Petra Pötschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites, <strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p> <p>The data are sorted according to the figures and tables in which they are used.</p> <p>The description in Table 1 is taken from the reference:<br>Villmow, T.; Kretzschmar, B.; Pötschke, P. Influence of screw configuration, residence time, <br>and specific mechanical energy in twin-screw extrusion of polycaprolactone/multi-walled carbon nanotube composites. Compos. Sci. Technol. 2010, 70, 2045-2055. doi: https://doi.org/10.1016/j.compscitech.2010.07.021.</p> <p>Figure 15 is adapted from the references:<br>Krause, B.; Boldt, R.; Pötschke, P. A method for determination of length distributions of multiwalled carbon nanotubes before and after melt processing. Carbon 2011, 49, 1243-1247, https://doi:10.1016/j.carbon.2010.11.042.<br>and<br>Liebscher, M.; Domurath, J.; Krause, B.; Saphiannikova, M.; Heinrich, G.; Pötschke, P. Electrical and melt rheological characterization of PC and co-continuous PC/SAN blends filled with CNTs: Relationship between melt-mixing parameters, filler dispersion, and filler aspect ratio. Journal of Polymer Science Part B: Polymer Physics 2018, 56, 79-88, https://doi:10.1002/polb.24515.<br>The data are reused with permissions. </p> <p>The raw data (TEM images) used for the calculation of the carbon nanotube length distributions and mean carbon nanotube length values shown in Figs. 4, 11, 13, 16, and 17 are publically available at: Krause, B. (2024). Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11400466</p> <p>Version v2:</p> <p>Compared to the submitted figure, in the final version in<strong> Fig. 9 </strong>the sample using the side feeder (PC-H-05) was removed and two samples extruded at 15 kg/h and 750 rpm (PC-H-25) and 1000 rpm (PC-H-26) were added. In the text-file the unit of GPa for the elastic modulus was corrected to MPa. </p> <p>Compared to the submitted Table, in the final version of <strong>Table 2 </strong>the electrical resistivity values were given in more detail including the standard deviation. The column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.</p> <p>Compared to the submitted Table, in the final version of <strong>Table 3</strong> the column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.The title of the first column was set to "screw" instead of "feeding". </p>
Nanoindentation and AFM Dataset for the Microscale Mechanical Property of Granites
<p>This dataset contains the raw results of nanoindentation testing and Atomic Force Microscopy (AFM) testing, which were used to determine the elastic property of rock-forming minerals and interphases in granites. The dataset is presented and utilized in the paper 'Determining Young's Modulus of Arbitrarily-shaped Granite Samples using Accurate Grain-based Modelling with Micro-RME'. Full details of the experimental setup, procedure, and imaging analysis can be found in the paper and supporting information.</p> <p>The results of nanoindentation testing for different rock-forming minerals in granites are contained within three files: nanoindentation_quartz, nanoindentation_feldspar and nanoindentation_biotite. In these files, the raw data during nanoindentation testing is shown with achieved parameters, including elastic modulus, hardness, maximum load fore, maximum contact area, and contact depth. These results are then used to determine the elastic modulus of rock-forming minerals. The achieved Young's modulus for quartz, feldspar and biotite are 96.81 GPa, 69.50 GPa and 46.41 GPa, respectively, for present granitic samples.</p> <p>The results of AFM testing for interphases between different rock-forming minerals in granites are contained within three files: AFM_quartz_feldspar_interphase, AFM_feldspar_biotite_interphase and AFM_quartz_biotite_interphase. In these files, the raw data of 196,608 indents during AFM testing is shown with obtained parameters, including elastic modulus and surface roughness. These results are then used to determine the geometry and elastic modulus of interphases. The achieved Young’s modulus of interphase is 24.48 GPa for present granitic samples. Additionally, the geometry of striped interphases between different rock-forming minerals is shown, which is complex with varying widths.</p>
Data for: The rock-forming minerals and macroscale mechanical properties of asteroid rocks
<p>HaH 346 meteorite samples are tested using the nanoindentation experiment with Berkovich indenter. The data includes the Young’s modulus of different rock-forming minerals in HaH 346 meteorites measured by nanoindentation test.</p>
Relationship Between Crystallization, Mechanical and Gas Barrier Properties of Poly(ethylene furanoate) (PEF) in Multinanolayered PLA-PEF and PET-PEF Films
<p>Alain Guinault, from CNAM, presented at the 24<sup>th</sup> International Conference on Material Forming (ESAFORM 2021) the results obtained and published in the framework of the project MyPack “Relationship Between Crystallization, Mechanical and Gas Barrier Properties of Poly(ethylene furanoate) (PEF) in Multinanolayered PLA-PEF and PET-PEF Films.”</p>
A Tungsten Deep Neural-Network Potential for Simulating Mechanical Property Degradation Under Fusion Service Environment
<p>The DP-HYB and DP-SE2potential and the W training database.</p>
Nanoindentation Dataset for the Microscale Mechanical Property of Granites
<p>This dataset contains the raw results of nanoindentation testing, which are used to determine the elastic and failure property of rock-forming minerals in granites, which then provides the input parameters for accurate grain-based modeling. The dataset is presented and utilized in the paper 'Thermally induced microcracks in granite and their effect on the macroscale mechanical behavior'. Full details of the experimental setup, procedure, and imaging analysis are able to be found in this paper.</p> <p>The results of nanoindentation testing of different rock-forming minerals by different indents are contained within six files: Berkovich_quartz, Berkovich_feldspar, Berkovich_biotite, Cube corner_quartz, Cube corner_feldspar and Cube corner_biotite. In these files, the raw data of nanoindentation testing includes elastic modulus, hardness, maximum load fore, maximum contact area, and contact depth. These results are then applied to calculate the elastic and failure properties of rock-forming minerals.</p>
Effects of hydrostatic dissolution and seepage on the transport and mechanical properties of glauberite
<p>Data presented and discussed in the article entitled "Effects of hydrostatic dissolution and seepage on the transport and mechanical properties of glauberite".</p>
Physical and Mechanical Properties of Chir Pine (Pinus roxburghii) after vacuum drying.
<p>The study was conducted on Pinus roxburghii (Chir pine) wood under a convective vacuum dryer. Wooden planks were seasoned at 45℃ above 20% moisture content and at 50℃ below 20% moisture content to final moisture content of 8 % to 12 %. It was found that all the physical and mechanical properties under study were increased. This study will encourage convective vacuum seasoning of timber for fast and defect-free drying.</p>
Raw data for "Enhancing fluidity and mechanical properties in LC3 binders with one-third Portland clinker content"
<p>Raw data for "Enhancing fluidity and mechanical properties in LC3 binders with one-third Portland clinker content"</p> <p>The raw data include thermal analysis, isothermal calorimetry, laboratory X-ray powder diffraction (LXRPD) and mercury intrusion porosimetry</p>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.