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Online since: March 2017
Authors: Ying Jie Cai, Md. Nahid Pervez, Faizan Shafiq, Muhammad Munib Jilani, Zahid Sarwar
In addition, by analysing FT-IR and SEM data it is confirmed that uniform presence of crosslinking agents was visible on cotton fibres.
Results of increased crystallinity in crosslinked Fixapret F-Eco and Knittex RCT cottons are at odds with those of Xu [11] who observed reduction in crystallinity in cottons crosslinked with BTCA (butanecarboxylic acid).
Results of increased crystallinity in crosslinked Fixapret F-Eco and Knittex RCT cottons are at odds with those of Xu [11] who observed reduction in crystallinity in cottons crosslinked with BTCA (butanecarboxylic acid).
Online since: July 2013
Authors: Jun Hu, Hui Zeng, Xiao Bin Wang
The research shows: the stretching performance of nonwoven textile is better than the woven textile's; The influence of temperature on the geosynthetics is remarkable, it should be emphasized during the construction; The moisture has a little impaction on the mechanical performance of geosynthetics; These achievements provide scientifical data and references for the physi-mechanical performances of geosynthetics, while no further study on the long-term effect, it should be studied in future.
Mechanical property of moisturing material has no apparent reduction according to the natural condition, on the contrary, it increases to some extent, especially the stretching rate.
Mechanical property of moisturing material has no apparent reduction according to the natural condition, on the contrary, it increases to some extent, especially the stretching rate.
Online since: August 2019
Authors: Jun Bo Wang, Hong Hua Qiu, Song Tao Liu, Norihisa Matsumoto, Fang Si
These provide data reference for preparation of Ag/SnO2 contact materials with uniform SnO2 distribution in Ag matrix.
The agglomerated SnO2 cause the reduction of processing performance and decrease the arc erosion resistance of Ag/SnO2 contact materials, which seriously affects the service life of Ag/SnO2 contact materials.
The agglomerated SnO2 cause the reduction of processing performance and decrease the arc erosion resistance of Ag/SnO2 contact materials, which seriously affects the service life of Ag/SnO2 contact materials.
Online since: January 2016
Authors: Adli Zil Ikram Abdullah, Noreffendy Tamaldin, Ahmad Kamal Mat Yamin, Hilmi Amiruddin, Mohd Fadzli bin Abdollah, Tee Boon Tuan
The reduction in melting time with increasing percentage of MWCNT is in accordance with the improvement of thermal conductivity.
The latent heat capacity of the composite µPCM, composed of 2, 4, 7 and 10 wt% MWCNT were decreasing by 4.3, 6.2, 9.9 and 11.1 % respectively compared to pure µPCM (datum).
Reduction in melting time with the increasing percentage of MWCNT is in accordance with the improvement of thermal conductivity.
The latent heat capacity of the composite µPCM, composed of 2, 4, 7 and 10 wt% MWCNT were decreasing by 4.3, 6.2, 9.9 and 11.1 % respectively compared to pure µPCM (datum).
Reduction in melting time with the increasing percentage of MWCNT is in accordance with the improvement of thermal conductivity.
Online since: May 2025
Authors: Ali J. Chamkha, Abbas Biglar, Nadia Darougheh, Mohammad Hashem Emami
The results showed that SiO2 nanoparticles effectively altered the basalt surface from CO2-wet to weakly water-wet, with about a 40% reduction in the measured brine contact angle upon treatment with 1000 mg/L nanoparticles.
The figure illustrates the comprehensive data acquisition and processing system incorporated into the PVT cell, which includes high-pressure valves, interconnected pipelines, a reference pressure transmitter, a reference temperature sensor, and a reliable temperature control system.
Schematic of CO2 diffusion PVT cells (Fluid EVAL) [7] Their results demonstrated significant improvements in CO2 diffusion coefficients and reductions in interfacial tension when using nanofluids compared to brine solutions without nanoparticles.
Computer with Drop Analysis Software: Analyzes the images captured by the camera to determine the contact angles, providing data on the wettability of the calcite samples.
Data Availability Statement All data are already represented in this paper References [1] A.
The figure illustrates the comprehensive data acquisition and processing system incorporated into the PVT cell, which includes high-pressure valves, interconnected pipelines, a reference pressure transmitter, a reference temperature sensor, and a reliable temperature control system.
Schematic of CO2 diffusion PVT cells (Fluid EVAL) [7] Their results demonstrated significant improvements in CO2 diffusion coefficients and reductions in interfacial tension when using nanofluids compared to brine solutions without nanoparticles.
Computer with Drop Analysis Software: Analyzes the images captured by the camera to determine the contact angles, providing data on the wettability of the calcite samples.
Data Availability Statement All data are already represented in this paper References [1] A.
Online since: July 2017
Authors: Kássia Graciele dos Santos, Bruna Sene Alves Araújo
The goal of the present work was to simulate using CFD experimental fluid dynamics data of a spout fluidized bed.
The technique of Computational Fluid Dynamics (CFD) has been used as a powerful tool in numerical modeling of multiphase flows leading to cost reductions and design time [6].
Experimental data.
The Fig. 3 shows a comparison between the average velocities of the particles along the radial direction at various heights for spouting with aeration (aggregative spout), spouting with aeration and spout fluidized with aeration (dispersed spout) of the simulations obtained in this work and experimental data [1,4].
(a) Spouting with aeration (aggregative spout) (b) Spouting with aeration (c) Fluidized bed spouting with aeration (dispersed spout) Fig. 3 – Comparing the particles average velocities in the z direction for experimental data [] and CFD simulations: (a) Spouting with aeration (aggregative spout); (b) Spouting with aeration; (c) Fluidized bed spouting with aeration (dispersed spout).
The technique of Computational Fluid Dynamics (CFD) has been used as a powerful tool in numerical modeling of multiphase flows leading to cost reductions and design time [6].
Experimental data.
The Fig. 3 shows a comparison between the average velocities of the particles along the radial direction at various heights for spouting with aeration (aggregative spout), spouting with aeration and spout fluidized with aeration (dispersed spout) of the simulations obtained in this work and experimental data [1,4].
(a) Spouting with aeration (aggregative spout) (b) Spouting with aeration (c) Fluidized bed spouting with aeration (dispersed spout) Fig. 3 – Comparing the particles average velocities in the z direction for experimental data [] and CFD simulations: (a) Spouting with aeration (aggregative spout); (b) Spouting with aeration; (c) Fluidized bed spouting with aeration (dispersed spout).
Online since: August 2013
Authors: Muhammad Mubaraki
However, handling and analyzing huge collected data is a challenge for justifyingautomated pavement evaluation technique and to interpreting these data into an acceptable engineering assessment [10].
Data have been being sourced from the Ministry of Transport (MOT) where these data are categorized as historical data and pavement survey data.
Historical data includes the maintenance type and date, while the survey data are traffic load, pavement condition, and pavement functional distress measurements.
The data over a ten year period were used in the model development.
Several analyses were conducted on the data set.
Data have been being sourced from the Ministry of Transport (MOT) where these data are categorized as historical data and pavement survey data.
Historical data includes the maintenance type and date, while the survey data are traffic load, pavement condition, and pavement functional distress measurements.
The data over a ten year period were used in the model development.
Several analyses were conducted on the data set.
Online since: October 2016
Authors: Theodoros Machairas, Anargyros Karakalas, Alex Solomou, Dimitris Saravanos
Shape Memory Alloy Morphing Airfoil Sections
Dimitris Saravanosa, Theodore Machairas, Alex Solomou,
Anargyros Karakalas
Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece
asaravanos@mech.upatras.gr
Keywords: Shape memory alloys, morphing structures, morphing airfoil, wind turbine blades,
load reduction.
Yet, their implementation into morphing structures faces challenges related to their complex multi-disciplinary behavior, their interaction with the passive structural components, geometrical nonlinearity due to large shape changes, the lack of experimental data, and above all, the lack of modelling tools which can robustly simulate the complex thermomechanical behavior and make feasible their design.
Yet, their implementation into morphing structures faces challenges related to their complex multi-disciplinary behavior, their interaction with the passive structural components, geometrical nonlinearity due to large shape changes, the lack of experimental data, and above all, the lack of modelling tools which can robustly simulate the complex thermomechanical behavior and make feasible their design.
Online since: March 2009
Authors: Ian Pearson
The recent moves toward weight
reduction in automotive bodies (often lead by government legislation) make adhesive bonding an
attractive joining technology.
Joint Geometry For this work, a parametric study of single overlap joints[3] has been used with additional coach joint data obtained from laboratory testing, utilising the design of experiments method.
Samples were manufactured and tested at low strain rates (0.2mm/min) to simulate quasi-static loading and during testing, the displacement of two points (targets) on the edge of the joint at 20mm either side of the joint centre line was measured (shown in Figure 3) by a video extensometer and data-logged.
The force/displacement data from laboratory testing were used to generate lines of best fit (polynomial representations fitted in a "least squares" sense) and these lines were used to determine joint stiffness.
Force and applied load data were used to generate joint stiffness data and plotted against load (Force), for the aluminium joints this is shown in Figure 11.
Joint Geometry For this work, a parametric study of single overlap joints[3] has been used with additional coach joint data obtained from laboratory testing, utilising the design of experiments method.
Samples were manufactured and tested at low strain rates (0.2mm/min) to simulate quasi-static loading and during testing, the displacement of two points (targets) on the edge of the joint at 20mm either side of the joint centre line was measured (shown in Figure 3) by a video extensometer and data-logged.
The force/displacement data from laboratory testing were used to generate lines of best fit (polynomial representations fitted in a "least squares" sense) and these lines were used to determine joint stiffness.
Force and applied load data were used to generate joint stiffness data and plotted against load (Force), for the aluminium joints this is shown in Figure 11.
Online since: January 2025
Authors: S. Ayyappan, Natarajan Lakshmipriya, C. Gokul
Small coin cells power hearing aids and wristwatches, while large battery banks powering telephone exchanges and data centers take up whole rooms.
You can couple the device's 4-20 mA output to a programmable logic controller (PLC), panel meter, or data recorder for real-time reporting and monitoring.
An RFID reader or scanner sends signals to the tag, and the tag's antenna picks them up and returns them, sometimes with extra data (such as a serial number or other personalized information).
After then, the tag will transmit the data it has stored.
Plug-in vehicles and renewable energy sources for cost and emission reductions.
You can couple the device's 4-20 mA output to a programmable logic controller (PLC), panel meter, or data recorder for real-time reporting and monitoring.
An RFID reader or scanner sends signals to the tag, and the tag's antenna picks them up and returns them, sometimes with extra data (such as a serial number or other personalized information).
After then, the tag will transmit the data it has stored.
Plug-in vehicles and renewable energy sources for cost and emission reductions.