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Online since: February 2013
Authors: Andrzej Golabczak, Robert Swiecik
The test site, presented in our earlier papers [12], is equipped with control and measurement circuits for grinding parameters, three-axial piezoelectric force gauge 9257B made by KISTLER and computerized system for experimental data logging.
Substantial reduction of the tangential component of the specific grinding force during AEDG process has been observed during negative polarization (-) of the machined element (sample 3).
An advantageous reduction of the grinding energy has been observed also when applied working current of the 12 A intensity at the voltage drop about 150-200 V giving an energy reduction of about 40-50% in comparison with conventional grinding process.
Presented results of investigations have confirmed a substantial influence of electro-erosive process on reduction of the specific grinding energy in comparison with the conventional grinding (CG).
Effect of working current voltage and intensity on specific energy for conventional grinding (CG) and AEDG process of sintered carbides S20S: vs=30 m/s, vf=0.5 m/min, a=20 µm, ti=32 µs, tp=63 µs, dielectric – distilled water An advantageous reduction of the energy consumption has been observed also when the applied working current of 12 A intensity at the voltage drop in the range 150200 V giving an energy reduction of about 3.5 times for the whole voltage range in comparison with conventional grinding process.
Online since: June 2017
Authors: Kristina Zabakova Vrablova, Norbert Jendzelovsky
Products Eco-Line (sphere shaped formers): · Slab depth 400 – 700 mm · Void formers height 270 – 450 mm · Particularly suitable for wide slab spans · Exceptional reduction of dead-weight load Product Slim-Line (rotational ellipsoid or flattened void formers): · Slab depth 200 – 450 mm · Void formers height 100 – 260 mm · Particularly suitable for low slab depth · Savings potential of cost and material · Eco-friendly construction · Economical transport options.
There are stiffness reduction factors and self weight reduction for Reduced slab models.
Table 3 The thickness of the slabs, the height of the void formers, the designed spans and the type designation of the slabs COBIAX Type   Slim-line (rotational ellipsoid)   S-100 S-120 S-140 S-160 S-180 S-200 S-220 Height of a void former m 0.1 0.12 0.14 0.16 0.18 0.2 0.22 Height of a slab m 0.2 0.22 0.25 0.28 0.3 0.32 0.35 Span of a slab m 5.95 7 8.05 9.1 9.8 10.5 11.55 Stiffness reduction factor - 0.93 0.91 0.91 0.9 0.9 0.89 0.89 Self weight reduction kN/m2 1.4 1.64 1.88 2.1 2.32 2.56 2.8   Eco-Line (sphere) E-270 E-315 E-360 E-405 E-450 Height of a void former m 0.27 0.315 0.36 0.405 0.45 Height of a slab m 0.4 0.45 0.5 0.55 0.6 Span of a slab m 12.9 14.35 16 18 19.5 Stiffness reduction factor -  0.91 0.9 0.89 0.88 0.88 Self weight reduction kN/m2 2.86 3.34 3.82 4.29 4.77 The Lightweight slab models have been made by 3D elements SOLID187.
The modifications of the material properties have been based on the recommendations of the manufacturer specified in the product data sheet.
Online since: February 2011
Authors: Peng Cheng Wang, De Qun Li, Jin Long Zhao, Zhi Yan Zhen, Liang Ming Yan
Data and test equipment All CT data available derive from CT scanning images to knee-joint of an orthopedic patient.
Hence, it is quite suitable for noise reduction images.
Fig.4 is the most representative of sectional image chosen from two-dimensional data of images of the knee joint.
Fig.4 Sectional drawing of data of human skeleton.
STL format data could be correctly read and could be converted into corresponding CLI data format after layering, by applying Magics9.5 software.
Online since: October 2010
Authors: Shehab M. Abdelrahman, Buddhadev Jana, Margaret M. Stack
Das et al. [17] used the data in Shida et al. [18] to propose polynomial relationships for various materials to accurately relate the yield strength and the material temperature.
A correlation relation for the carbon steel is given, based in these data as follows [17]: (2) Thus, the target material hardness can be related to the operating temperature as: (3) The specific heat of the target material is also influenced by the temperature rise.
They used a nonlinear fitting formulae for the experimental data and assumed constant Poisson ratio in a temperature range from 273 – 673[K].
A curve fitting was used to fit the available data [26] for the density and viscosity change to account for their variation with the temperature rise in [K].
It should be noted that the effect of temperature is only apparent in the reduction of the target material hardness.
Online since: March 2012
Authors: Han Dong, Ling Yu Xu, Fei Zhong, Ying Zhu, Xu Ming Yang
Introduction Acupuncture treatment of adolescent myopia by collecting data related to inspection by the human eye changes of key data indicators, digging out the implicit treatment of the data within, between efficacy and the patient's own conditions, multiple hidden many conditions associated and this association beyond the ability of artificial selection and statistics.
Data Collection Before treatment, a detailed "survey" questions and answers.
Today, data mining technology from a large number of, incomplete, noisy, fuzzy, random data, extracting implicit in them, people do not know in advance, but is potentially useful information and knowledge.
Table 2 Core Yang Wei maximum eye examination tables index (2)To standardize the data Table 2 in the data value for each attribute, in addition to Table 1 for its corresponding data value for each attribute, so that the data in Table 3 for each value in [0,1] range, and format for the 2 digits after the decimal point.
Obtained after reduction: Y’=0.149-0.172X(6)’+0.0092X(7)’
Online since: June 2014
Authors: Lau Kok Keong, Azmi Mohd Shariff, Zhen Hong Ban
Both Peng-Robinson EOS and NRTL equation gives an error of standard deviations within 2% compared to experimental data.
Their experiment data also were correlated with Peng Robinson equation of state and used to obtain the binary interaction parameters [23].
The calculations using the algorithm were compared with the data obtained in a pilot scale absorber with ceramic Intalox saddles as packing.
Several correlations for mass transfer coefficient and interfacial area estimation was also tested with the experimental data [37].
Fei, CO2 Capture with Physical Solvent Dimethyl Carbonate at High Pressures, Journal of Chemical & Engineering Data. 55(2010) 3736–3741
Online since: April 2024
Authors: Adepu Kumaraswamy, Gaurav Sharma, Sangram Rath
In the time domain, the Prony series is a frequently used numerical method that accurately represents the connection between the relaxation and creep functions of viscoelastic materials. [37] Researchers often employ this method to model viscoelastic materials, validating their findings through experimental data from various polymeric materials.
Relaxation modulus and relaxation time are the two parameters we are required to add in the FEM software as an important property of viscoelastic material. 2.3 Using DMA data to obtain Prony series for VEM By conducting Dynamic Mechanical Analysis (DMA) on a specific-sized material sample, it is possible to obtain the values of storage modulus E' and loss modulus E''.
By leveraging Equation 2 alongside the DMA data provided in Table 3, the Prony series constants have been calculated as follows: Equation 2 of storage modulus was used till the 4 terms.
A noticeable reduction in the maximum amplitude is observed for the Multilayer CLD, measuring approximately 18 m/sec2, compared to the Sandwich CLD, which is around 24 m/sec2.This reduction in amplitude highlights the effectiveness of the Multilayer CLD treatment.
Experimental investigation on the noise reduction of an axial piston pump using free-layer damping material treatment.
Online since: December 2015
Authors: Kallam Suresh, M. Rajasekhara Babu
In the Internet of Things (IoT) standard [3,4,5],the new cohort of massive amounts of data and stored data, processed and obtainable in a unified, effectual, and easily interpretable form.
Adaptive Communication Mechanism for EE Internet of Things Method and apparatuses for optimizing performance using data from an Internet of Things (IoT) Device with analytics engines.
The method receives[17], from a requesting Internet of Things device, a request from trend data of physical resource consumption based at least in part on a portion of received data.
The trend data based on at least the portion of the received data.
The method transmits, to the requesting IoT device, the calculated trend data ,where in the requesting IoT device adjusts parameters in an IoT device using the calculated Trend data.
Online since: July 2013
Authors: Maciej Kahsin, Marcin Luczak, Bart Peeters, Simone Manzato, Dariusz Potok, Maciej Rozycki, Dominik Sporna
Dedicated tools were also developed to further post-process the recorded data.
Saved throughput data are then used for the post-processing.
By using this method speed fluctuations were removed from accumulated data.
Here the amplitude of vibration is clearly magnified with respect to the reference data.
All measured data are strongly dependent on direction of small wind turbine bed plane.
Online since: April 2012
Authors: V.B. Vykhodets, Tatiana Eugenievna Kurennykh, Anatoly Yakovlevich Fishman, Vladimir Borisovich Vykhodets
We used these data as reference points in analysis of OIE results.
Dots – experimental data, lines – calculation.
Dots – experimental data, lines – calculation.
The corresponding data for the initial powder are presented in Figs. 3.
New data on oxygen diffusion coefficients in manganese oxides are obtained.
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