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Online since: February 2014
Authors: Abdullah F. Saud, Hakim S. Abdelgader, Ali S. El-Baden
Behavior of TSC in compression has been well documented, but there are little published data on its behavior in tension and modulus of elasticity.
However, flexural strength data on preplaced aggregate concrete were not presented.
Both figures demonstrate a strength reduction as the w/c ratio increases.
Another significant finding from the compressive strength data was the somewhat limited rate of strength development.
Eq. 3 is also valid for estimating 90-day splitting tensile strengths based on 90-day compressive strengths, as the data in Fig. 6 suggest.
Online since: September 2016
Authors: S.I. Yaresko
Microhardness measurement data along the end cutting edge (direction 2 on Fig. 1 and Fig. 2) are shown on Fig. 5 (a) and Fig. 5 (b).
Similar data, obtained along the line formed by the intersection of the major and end flanks of the cutter (direction 1 on Fig. 1 and Fig. 2) are shown in Fig. 6 (a) and Fig. 6 (b).
Analysis of the measurements shows that at a distance of 20 mm from the surface distribution of microhardness in the specified directions (Fig. 1.) with a high degree of confidence correspond to the experimental data (coefficient of multiple determination R2 = 0.71 – 0.94; Fig. 5 (a) and Fig. 6 (a)).
Comparing the obtained data with the diagrams contact pressures on cutter face, which was give in [5], it can be seen that the curves of microhardness distribution along the end cutting edge practically repeat distribution of contact pressures.
The analysis of the microstructure in the contact zone and data on the measurement of microhardness allows to conclude that the LT leads to increase tool life, operating at the cutting conditions when the growth of thermodynamic tension in the cutting zone not leads to the development of processes of softening.
Online since: March 2025
Authors: Krystian K. Wika, Andrew Wright, Tarsem S. Sihra, John M. Scholey
This paper presents an analysis from small hole DHD with scCO2+MQL in comparison to high pressure (HP) soluble oil coolant to provide viable data for furtherance of the technology.
Hole diameter data for each trial consisted of eight data points (every 10th hole in a total of 80 holes drilled per setting).
PC-DMIS software was used to collate the measured data.
The data indicated that both CLF conditions remained well within a surface roughness tolerance (Ra) of 1.6 µm.
The analysis of hole diameter data from every 10th hole drilled for each feed rate (fn)/spindle speed (n) variation, revealed the following results: Run 1 and 6: (Figure 6) Both cooling methods produced holes within tolerance, with HPC consistently mid-tolerance, and a gradual reduction in scCO2+MQL hole size.
Online since: June 2020
Authors: Abdulwahab Giwa, John Olusoji Owolabi, Abdulkabir Olawale Gidado
This analysis is normally carried out using real-time data [5].
Table 2: Well data PVT DATA GOR (scf/stb) 312 Oil Gravity (API) 20.16 Gas Gravity (sp gravity) 0.6 water salinity (sp gravity) 1.00965   Down hole Data   Measured depth (feet) Tubing Id (inches) Casing Id (inches) Xmas Tree 0 Tubing 9317 2.992 Casing 9330 6.366   IPR Data Reservoir Pressure (psig) 3577.42 Reservoir Temperature (deg F) 160 Water Cut (%) 0 Total GOR (scf/stb) 312 P.I (stb/day/psi) 3.2 Top node pressure (psig) 600 Also, equipment data were used in describing the flow in the tubing to deal with the production phase.
Figure 5: System summary 2.2.1 PVT modelling With the necessary system summary information inputted, the next thing considered was the PVT data set for the black oil model and then the test data by which the PVT test data were matched with the best fit correlation for the black oil.
Figure 11 shows the test data used for this purpose.
This allowed checking the consistency of VLP and IPR and whether there was any need to adjust in order to match the measured data, depending on the percentage difference in calculated liquid rate and bottom hole pressure with the measured data.
Online since: April 2014
Authors: Jan C. Aurich, Ingo Gustav Reichenbach
The use of microfluidic devices brings some benefits such as low reagent consumption, shorter analysis time, portability and cost reduction.
As product variety increases within a competitive market the reduction of the time-to-market is desired.
Even selecting the machining parameter is a challenge in micro milling, since unlike a conventional process there is limited data base.
The same parameters were applied in roughing and finishing and no tool breakage took place during the cutting process proving good feasibility plus the large potential for machining time reduction.
In addition the tool life and wear will be investigated and fundamental experiments to extend the data base will be performed.
Online since: October 2010
Authors: M. Bobby Kannan, V.S. Raja
The data from this work are presented in Table 1.
In air, the peak aged alloy exhibited 10 % elongation (E) and reduction in area (RA) and 561 MPa ultimate tensile strength (UTS).
SSRT data of 7010 Al-alloys in peak aged and over aged conditions tested in air and in 3.5% NaCl solution at 10 -6/s strain rate [4].
Due to a sharp reduction in recrystallization, the fracture surface of Sc containing alloy revealed predominant ductile features (Fig. 5b).
(a) (b) Table 3 SSRT data of base 7010 Al-alloy and 0.25 wt.% Sc containing alloy in peak aged conditions tested in air and 3.5% NaCl solution at 10 -6/s strain rate [4].
Online since: August 2014
Authors: Yan Ling Guo, Yu Dong Bao
Blomidon trees are proposed as object of study, of which measurement data is obtained, referring to the data measured by the research group.
Belt driving 3.Clutch 4.Reduction gears 5.Guard board 6.Picking head 7.Device of collection boards 8.Collection groove Body of the picking machine is designed into the shape of door, which "ride" fruit trees and of which wheels in the ditches on both sides when it is walking vertically.
As the gasoline engine is started, the clutch is closed and at the same time the reduction gears are driven through belt driving.
Piching head is driven by the reduction gears through belt driving.
As the research of blueberry picking machine is limited, there is a lot of research work, such as the experiment of different varieties, the experiment in different gardens, the improvement of structure, time of field trials and the effects of the test environment and mechanical flexibility and operation technology on experiment data. 1 Foundation Project: supported by “the Fundamental Research Funds for the Central Universities”(2572014AB04) and Project 948 of State Forestry Bureau (2011-4-21) Author: Bao Yudong (1986-), male, Fushun, Liaoning Province, PhD graduate, majoring in research of picking machine and robot of agriculture and forestry, and mechatronics technology.
Online since: January 2016
Authors: Mashitah Mohd Yusoff, Gomaa A. M. Ali, Kwok Feng Chong, Salah A. Makhlouf, Osama A. Fouad
The optical band gaps have been calculated from UV–Vis absorption data.
Further information about the chemical structure was obtained from FTIR data presented in Fig. 2(a).
Oxidation and reduction peaks were observed and ascribed to oxidation and reduction of cobalt (II, III) species.
The data shows an almost neglected iR drop.
El–Sayed, Cobalt/silica nanocomposite via thermal calcination–reduction of gel precursors, Mater.
Online since: December 2012
Authors: Ling Zhi Sun, Chun An You, Lin Lin Sun, Jian Xin Liu
(2) Project example of energy-saving residential quarter Initial data of energy-saving residential quarter.
According to specific measuring and analyzing of the owner in energy saving 65% project .we get its use cost data as follows.
Still selects A-8 in the residential quarter as the research object, we suppose it is designed and constructed with no energy saving measure, preparation cost and construction cost is 2320 yuan/m2,heating cost is 3.3 yuan/m2,other data are the same, then the life cycle cost analysis of no energy saving project is shown as follows[5]: construction cost :12056×2320=27970000yuan special maintenance cost: 12056×60 =720000yuan annual property management fee: 12056×1.2×12=170000yuan annual use cost:12056×3.3×5+(880+200+600) ×82+12056×1=35330000yuan disposal expenses: 12056×20 =240000yuan salvage value: 2797×3%=840000yuan Assumptions for 6% discount rate, life period for 30 years, the calculation process of dynamic life cycle cost is:
Table 2 Analysis result of dynamic life cycle cost discount rate i=6% i=10% life duration 30 40 50 30 40 50 energy saving LCCPV 3515 3612 3644 3254 3270 3278 no energy saving LCCPV 3533 3642 3682 3348 3368 3377 reduction 0.5% 0.8% 1% 2.8% 2.9% 3% energy saving LCCAV 255 240 231 345 334 331 no energy saving LCCAV 256 242 234 355 344 341 reduction 0.4% 0.8% 1.3% 2.8% 2.9% 3% Table 3 Analysis result of static life cycle cost life duration 30 40 50 energy saving LCCPV 4186 4606 5026 no energy saving LCCPV 4369 4889 5409 reduction 4.2% 5.8% 7.1% We can know that from table 2 and table 3, although the initial investment of energy saving building increases, the whole life cycle cost is obviously lower than general building.
Summary Energy conservation and emitting reduction is one of the most important jobs of construction industry at present.
Online since: September 2013
Authors: Dong Su Zhang, Jing Xi Li, Hao Yang, Meng Meng Niu
Sensor input line ; 27 signal acquisition device ; 28.data transmission line signal processing means; 29.Signal processing means The high-pressure water generating device is a host of high - pressure water jet , for the target object detection of high-pressure water jet to provide a reliable , stable and water beam .
Water nozzle beam strikes the surface of the target material , to generate sound reflection signal is amplified by the sound sensor is conveyed to the signal acquisition means , and the last input signal processing means via a data transmission line .The test system works when the photo is as follows .
Nozzle 65mm / s speed from about 100mm at the impact of topsoil from the target material . 3)signal processing can be carried out simultaneously , using wavelet noise reduction , then MATLAB software for signal processing .
This article only gives the wavelet noise reduction (pretreatment), modulus maximum algorithm the experimental results.
Experimental results Using the experimental system ,making mines buried in the ground model , stones , bricks experiments , the results obtained are as follows: modulus maxima algorithm using wavelet noise reduction then determine results .
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