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207 results for “friction”

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zenodo32/100

Dataset for manuscript : "Weak and shallow secondary frictional faults revealed by large earthquakes in Haiti".

<p>This archive file contains datafiles used in "Weak and shallow secondary frictional faults revealed by large earthquakes in Haiti".<br><br>README.txt files describing the datasets are available within the archive.</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

Macro photographs of friction surfacing deposits of various metals on various ceramics

<p>This is a complement to the friction surfacing of metals on ceramic dataset, showing some nice macro photos of the deposited traces of metal. basically a sample picture repository.&nbsp;</p>

opengpl-3.0-or-laterDec 2023View details →
zenodo32/100

TDMT solutions from catalog of "A Large Fault Partially Reactivated During Two Contiguous Seismic Sequences in Central Italy: The Role of Geometrical and Frictional Heterogeneities"

<p>Some new TDMT solutions from catalog at the link <a href="https://doi.org/10.5281/zenodo.10801577">https://doi.org/10.5281/zenodo.10801577</a>. The catalog contains events with M &gt; 3.0, that occurred between January 2009 and April 2021, in Campotosto area, Italy. &nbsp;Moment tensor were calculated by applying the Time Domain Moment Tensor technique, originally proposed by Dreger and Helmberger (1993) and Pasyanos et al. (1996) and successively implemented at INGV by Scognamiglio et al. (2009).</p> <p>For every moment tensor the PDF file contains the event location, waveform fits, nodal planes, magnitude, double couple (DC) and compensated linear vector dipole (CLVD) values, variance reduction, six components of moment tensor and station coverage.</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Data for Thermo-Mechanical Analysis of Friction Stir Welding

<p><span>This study explores the development and application of machine learning (ML) metamodels for the thermo-mechanical analysis of Friction Stir Welding (FSW). The main objective is to address the challenge of accurately predicting the thermo-mechanical behaviour of materials in FSW processes. Using finite element models, a high-fidelity dataset consisting of 20 Hammersley design datapoints is generated which is then used to develop a low-fidelity dataset of 420 datapoints using KNN&nbsp;imputation. </span></p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

F I G U R E 3 in Morphological features of mucous secretory organ and mucous secretion of loach Misgurnus anguillicaudatus skin for friction drag reduction

F I G U R E 3 (a)–(d) Misgurnus anguillicaudatus skin stained with phosphotungstic acid (PTA) and (e)–(f) stained with osmium tetroxide. (a) 3D Xray micro CT × 10 magnification image of loach skin showing the transect line () along which a (b) horizontal sectional X-ray image was extracted., The mucous layer;, pore of mucous secreting gland;, sections through scales. (c) A typical 3D X-ray micro CT image of loach scales;, the borders of scales. (d) X-ray image with ×40 magnification of scales showing radii () and circuli (). (e) 3D SR-μCT image of surface ornamentations consisting of radii and circuli in the sampling area A (Figure 3d). (f) Horizontal sectional X-ray image of surface ornamentations along the white dashed line in Figure 3(e):, the radii;, the circuli;, the basement membrane

opennotspecifiedNov 2019View details →
zenodo32/100

F I G U R E 2 in Morphological features of mucous secretory organ and mucous secretion of loach Misgurnus anguillicaudatus skin for friction drag reduction

F I G U R E 2 (a) SEM image of Misgurnus anguillicaudatus skin:, the mucous layer;, a scale. (b) Magnified surface of loach skin and (c) morphological structure of loach scale

opennotspecifiedNov 2019View details →
zenodo32/100

F I G U R E 5 in Morphological features of mucous secretory organ and mucous secretion of loach Misgurnus anguillicaudatus skin for friction drag reduction

F I G U R E 5 Reduction of skin friction acting on Misgurnus anguillicaudatus surface with mucus layer according to Reynolds number (Rex)

opennotspecifiedNov 2019View details →
zenodo32/100

F I G U R E 4 in Morphological features of mucous secretory organ and mucous secretion of loach Misgurnus anguillicaudatus skin for friction drag reduction

F I G U R E 4 Dark-field OCT images of (a) skin of Misgurnus anguillicaudatus covered by mucus () and (b) the loach skin from which mucus layer was removed ():, the mass of mucus removed from the loach. (c) The lateral flat-skin region and cross-sectional microstructures of loach skin (d) with and (e) without mucus. (f) The lateral region of concave loach skin (g) with and (h) without mucus. (i) The lateral region of convex loach skin (j) with and (k) without mucus., Loach scales

opennotspecifiedNov 2019View details →
zenodo32/100

F I G U R E 1 in Morphological features of mucous secretory organ and mucous secretion of loach Misgurnus anguillicaudatus skin for friction drag reduction

F I G U R E 1 (a) A lateral view of Misgurnus anguillicaudatus showing the region from which tissue samples were collected () and (b) smaller samples sectioned out for SEM and SR-μCT imaging ()

opennotspecifiedNov 2019View details →
zenodo32/100

F I G U R E 6 in Morphological features of mucous secretory organ and mucous secretion of loach Misgurnus anguillicaudatus skin for friction drag reduction

F I G U R E 6 Schematic model for mucous secretion: (a) cross-sectional view of convex loach skin. When mucous is removed from the epidermal surface, the secreting gland cells are ruptured and their contents are forced out to cover the surface layer. (b) Cross-sectional view of concave loach skin. Empty space between the mucous layer and scales. (c) 3D schematic view of convex loach skin. Mucus is secreted from the mucous gland cells located in the outer layer of the skin covering the scales. Epidermal surface is covered with mucous concentrate

opennotspecifiedNov 2019View details →
zenodo32/100

Rate-and-state friction parameters for "Frictional Characteristics of Oceanic Transform Faults: Progressive Deformation and Alteration Controls Seismic Style"

<p>Rate-and-state friction parameters to accompany&nbsp;&quot;Frictional Characteristics of Oceanic Transform Faults: Progressive Deformation and Alteration Controls Seismic Style&quot;</p>

opencc-by-4.0Sep 2021View details →
zenodo32/100

Frictional Properties of Fault Rocks and Creep Mechanism for the Laohushan Segment of the Haiyuan Fault, Northeastern Tibet

<p>All raw data of XRD analyses of fault rocks, particle size analyses of fault gouges, and mechanical data of fault gouge at different temperature are related to this paper.</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Script and data of "Role of Frictional Processes in Mesoscale Eddy Available Potential Energy Budget in the Global Ocean"

<p>% File description:</p> <p>1. Cal_conversions.m: a set of functions calculating the EAPE-EKE and EAPE-EKE conversion terms with CESM output data in B-grid</p> <p>2. smooth2a.m: function of boxcar filtering</p> <p>3. CONV_u100_2d.mat: data of the global distribution of upper 100 m averaged conversion terms used in Figure 2 of the manuscript<br> % Variables inside the file:<br> &nbsp;&nbsp; &nbsp;CONVa_H_u100: MAPE-EAPE conversion driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_H_u100: MAPE-EAPE conversion driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVa_V_u100: EAPE-EKE conversion driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_u100: EAPE-EKE conversion driven by non-frictional process</p> <p>4. CONV_profile.mat: data of the vertical profiles of global and regional averaged EAPE-EKE conversion terms used in Figure 3&nbsp;of the manuscript<br> % Variables inside the file:<br> &nbsp;&nbsp; &nbsp;% Vertical profiles of quasi-global-averaged EAPE-EKE conversion&nbsp;<br> &nbsp;&nbsp; &nbsp;CONVa_V_GLO_profile: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_GLO_profile: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_GLO_profile: reproduced by TTW balance&nbsp;<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;% Vertical profiles of EAPE-EKE conversion averaged in western boundary current regions<br> &nbsp;&nbsp; &nbsp;CONVa_V_WBCE_profile: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_WBCE_profile: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_WBCE_profile: reproduced by TTW balance&nbsp;</p> <p>&nbsp;&nbsp; &nbsp;% Vertical profiles of EAPE-EKE conversion averaged in subtropical gyres<br> &nbsp;&nbsp; &nbsp;CONVa_V_STG_profile: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_STG_profile: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_STG_profile: reproduced by TTW balance&nbsp;<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;% Vertical profiles of EAPE-EKE conversion averaged in subpolar gyres<br> &nbsp;&nbsp; &nbsp;CONVa_V_SPG_profile: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_SPG_profile: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_SPG_profile: reproduced by TTW balance&nbsp;</p> <p>&nbsp;&nbsp; &nbsp;% Vertical profiles of EAPE-EKE conversion averaged in the Southern Ocean<br> &nbsp;&nbsp; &nbsp;CONVa_V_SO_profile: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_SO_profile: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_SO_profile: reproduced by TTW balance&nbsp;</p> <p>5. CONV_SeasDiff.mat: data of the seasonal difference (winter minus summer) of global and regional averaged conversion terms used in Figure 3&nbsp;of the manuscript<br> % Variables inside the file:<br> &nbsp;&nbsp; &nbsp;% Vertical profiles of the seasonal difference of quasi-global-averaged EAPE-EKE conversion&nbsp;<br> &nbsp;&nbsp; &nbsp;CONVa_V_GLO_SeasDiff: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_GLO_SeasDiff: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_GLO_SeasDiff: reproduced by TTW balance&nbsp;<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;% Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in western boundary current regions<br> &nbsp;&nbsp; &nbsp;CONVa_V_WBCE_SeasDiff: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_WBCE_SeasDiff: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_WBCE_SeasDiff: reproduced by TTW balance&nbsp;</p> <p>&nbsp;&nbsp; &nbsp;% Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subtropical gyres<br> &nbsp;&nbsp; &nbsp;CONVa_V_STG_SeasDiff: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_STG_SeasDiff: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_STG_SeasDiff: reproduced by TTW balance&nbsp;<br> &nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;% Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in subpolar gyres<br> &nbsp;&nbsp; &nbsp;CONVa_V_SPG_SeasDiff: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_SPG_SeasDiff: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_SPG_SeasDiff: reproduced by TTW balance&nbsp;</p> <p>&nbsp;&nbsp; &nbsp;% Vertical profiles of the seasonal difference of EAPE-EKE conversion averaged in the Southern Ocean<br> &nbsp;&nbsp; &nbsp;CONVa_V_SO_SeasDiff: driven by frictional process<br> &nbsp;&nbsp; &nbsp;CONVo_V_SO_SeasDiff: driven by non-frictional process<br> &nbsp;&nbsp; &nbsp;CONVttw_V_SO_SeasDiff: reproduced by TTW balance&nbsp;</p> <p>6. Coord_lon_lat_zw.mat: coordinate information for the variables in &quot;CONV_u100_2d.mat&quot;, &quot;CONV_profile.mat&quot;and &quot;CONV_SeasDiff.mat&quot;<br> &nbsp; % Variables inside the file:<br> &nbsp;&nbsp; &nbsp;lon: longitude for the global distributions of the conversion terms<br> &nbsp;&nbsp; &nbsp;lat: latitude for the global distributions of the conversion terms<br> &nbsp;&nbsp; &nbsp;z_w: depth of each vertical level for vertical profiles of conversion terms</p>

opencc-by-4.0Jun 2022View details →
zenodo32/100

Data from: Nonprehensile Manipulation of Parts on a Horizontal Circularly Oscillating Platform with Dynamic Dry Friction Control

<p>Data from the paper &quot;Nonprehensile Manipulation of Parts on a Horizontal Circularly Oscillating Platform with Dynamic Dry Friction Control&quot;&nbsp;&nbsp;<a href="https://doi.org/10.3390/s21165581">https://doi.org/10.3390/s21165581</a></p> <p>This paper&nbsp;presents a novel method for nonprehensile manipulation of parts on a circularly oscillating platform when the effective coefficient of dry friction between the part and the platform is being dynamically controlled. Theoretical and experimental analyses have been performed to validate the proposed method and to determine the control parameters that define the characteristics of the part&rsquo;s motion. A mathematical model of the manipulation process with dynamic dry friction control was developed and solved. The modeling showed that by changing the phase shift between the function for dynamic dry friction control and the function defining the circular motion of the platform, the part can be moved in any direction as the angle of displacement can be controlled in a full range from 0 to 2<em>&pi;</em>. The nature of the trajectory and the mean displacement velocity of the part mainly depend on the width of the rectangular function for dynamic dry friction control. To verify the theoretical findings, an experimental setup was developed, and experiments of manipulation were carried out. The experimental results qualitatively confirmed the theoretical findings. The presented analysis enriches the classical theories of nonprehensile manipulation on oscillating platforms, and the presented findings are relevant for mechatronics, robotics, mechanics, electronics, medical, and other industries.</p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

Data from: Analysis on Conveying of Miniature and Microparts on a Platform Subjected to Sinusoidal Displacement Cycles with Controlled Dry Friction

<p>Data from the paper &quot;Analysis on Conveying of Miniature and Microparts on a Platform Subjected to Sinusoidal Displacement Cycles with Controlled Dry Friction&quot;&nbsp;<a href="https://doi.org/10.5755/j02.mech.28195">https://doi.org/10.5755/j02.mech.28195</a></p> <p>This paper presents a novel method for conveying of miniature and microparts on a subjected to sinusoidal displacement cycles in the horizontal direction when the effective coefficient of dry friction between the part and the platform is periodically being controlled. Hereby, the required dynamic directionality is achieved via the system asymmetry created by periodic alteration of the effective coefficient of dry friction between the micropart and the platform. A mathematical model of conveying process is developed and solved numerically to determine the influence of frictional properties, friction control and sinusoidal excitation parameters on the conveying process characteristics. It was found that the velocity and direction of conveying can be easily controlled in a wide range by changing the phase shift between the function of the ef-fective dry friction coefficient and the function of horizon-tal sinusoidal displacement cycles as well as the duration of effective dry friction coefficient reduction. To test the theoretical findings in practise, an experimental setup for micropart conveying with controlled dry friction was created and build. The experimental results revealed the functional capabilities of the proposed method for micropart conveying by demonstrating how the velocity, direction and step size are controlled by regulating the parameters of friction control and sinusoidal excitation.<br> The proposed method can be practically used in conveying, feeding, manipulation and assembly systems for miniature and microparts in the mechatronics, electronic and other industries.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Data for "Uncovering basal friction in northwest Greenland using an ice flow model and observations of the past decade"

<p>Data for the main figures for &quot;Uncovering basal friction in northwest Greenland using an ice flow model and observations of the past decade&quot;</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Dataset of "Graphite lubrication of highly loaded contacts: humidity-dependent friction and structural transition to turbostratic carbon"

<p>Initial atomic configurations for DFTB-MD simulations (Fig. 8-10, Fig. S7).</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Ion friction and quantification of the geomagnetic influence on gravity wave propagation and dissipation in the thermosphere-ionosphere

<p>Data supporting figures 2, 3 and 4 of the manuscript doi:10.1002/2017JA024785<br>  </p> <p> </p>

opencc-by-4.0Nov 2017View details →
zenodo32/100

The Data for Gaseous Dynamical Friction on Elliptical Keplerian Orbits

<p>The results for the the changing orbital elements of single perturbers and equal mass binaries due to Gaseous Dynamical Friction. The arrays ecc0, Mp represent the eccentricities and Mach numbers over which the change in semi-major axis (adot) eccentricity (edot) and precession (omegadot) are calculated.&nbsp;</p>

opencc-zeroApr 2024View details →
zenodo32/100

Underhead friction coefficients of steel screws - MOST - Spoke 11 - WP2

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →

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