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Online since: November 2017
Authors: Andrey N. Dmitriev, Galina Yu. Vitkina, M.O. Zolotykh
The last group of methods, in turn, is subdivided into systems based on data processing arriving from the cooling system and on the systems based on placement of special sensors in the lining.
Therefore, we will further consider a combination of methods of diagnostics leaning against the indications of thermocouples, a heat flux through a cooling system and the acoustic data.
In this case, it is possible to use the data of periodic ultrasonic diagnostics for updating the mathematical model.
The wall thickness is assessed when using the data of acoustic diagnostics.
The mathematical model based on the decision of the Fourier differential equation of thermal conductivity is therefore exposed to periodic updating according to acoustic inspection; this is in addition to the initial data received from a cooling system.
Online since: December 2011
Authors: Feng Yuan Wang, Rui Feng Sun, Jian Zhang, Fei Yu
,Ltd, Qingzhou, Shandong, 262500,China afy58wang@126.com, b13589173172@163.com, csunruifeng_15@163.com, dyufeizb@sina.com Keywords: Wheel loader, Consumption reduction, Performance, Evaluation Abstract.
The performance of acceleration time, distance and the fuel consumption was evaluated based on the data from five tons wheel loader.
Based on the typical job cycle and the analysis on traction and speed, the author got the data of accelerated performance, efficiency and so on.
Acceleration Time and Acceleration Distance According to the test data of typical conditions, when making calculations, the main concern should on four stages of moving forward with no-load, moving back with load, moving forward with load, moving back with no load.
Online since: July 2007
Authors: Pavlina Kousi, E. Remoudaki, Artin Hatzikioseyian, Marios Tsezos
Sulphate reduction.
From the data depicted on Figure 3, sulphate reduction rates have been calculated and varied from 4 to 20 g/l.d.
SEM-EDX data obtained for solid samples confirm that amorphous phases of iron and zinc sulphides are predominant [12].
Sulphate reduction profiles along the reactor column for various initial zinc concentrations (HRT=9h).
Complete reduction of sulphates for initial concentrations up to 7,200 mg/l, 2.
Online since: June 2016
Authors: Toto Indriyanto, Hedi Hartalita
Currently there are trends toward the use of [4]: o data communications, o performance-based procedures and satellite-based navigation, o automatic dependent surveillance-broadcast (ADS-B) technology, o integration of uplinked weather data with weather radar, o synthetic and enhanced vision, o head-up and head-down displays for surface operation, o open system architectures, and o integrated information management.
These components are responsible for collecting and processing data from other devices in the system, as well as input control commands and send the processed signal to the displays.
Connection and data exchange among components are performed through networks of data buses such as RS232 (shown as black lines), RS485 (green), ARINC429 (yellow), HSDB (blue) and Ethernet (red).
Flight measurement system (brown blocks) which consists of: - attitude and heading reference system (AHRS), - air data computer (ADC), - magnetometer for magnetic sensor and - engine/fuselage microprocessor.
In addition, G1000 system includes some other modules such as data link satellite radio receiver and servos for automatic control of pitch, pitch trim, and roll.
Online since: May 2015
Authors: Zi Li Wang, Chen Lu, Xin Li
The data in normal state are utilized to build an observer with two radial basis function (RBF) neural networks.
It can be seen from the above literatures that data-driven method have widely used in many field.
When a test data is inputted, the observer will estimate the values of normal output signals.
Fist, input the test data into one RBF neural network observer which is trained already to generate the residual.
So what data can be obtained is the control signal and the feedback of transmission mechanism when simulating.
Online since: September 2013
Authors: Fang Cheng Qin, Hui Ping Qi, Yong Tang Li, Shi Wen Du
On the basis of the flow stress data, dynamic materials model (DMM) and Prasad's instability criterion, the processing maps for as-cast 42CrMo steel were constructed at the strains of 0.4 and 0.6.
On the basis of the dynamic materials model and the flow stress data, the processing maps for as-cast 42CrMo steel were constructed and analyzed.
Fig. 2 Optical microstructures of as-cast 42CrMo steel deformed at strain rate 0.05s-1 and height reduction of 60% for various deformation temperatures of (a)850℃ and (b)1050℃.
Fig. 3 Optical microstructures of as-cast 42CrMo steel deformed at deformation temperature 1150℃ and height reduction of 60% for various strain rates of (a)0.05s-1, and (b)5 s-1.
Fig. 4 Cracks observe at temperature of 1050℃, strain rate of 5s-1 and height reduction of 60%.
Online since: August 2009
Authors: Zhi Feng Lin, Shu Fang Zhang, Dun Zhang
X-ray diffraction data indicate that the compound is monoclinic, P21 / c space group.
The cyclic voltammograms indicate that the compound decreases the rate of oxygen reduction reaction (ORR) and induces the ORR more difficult in aqueous solutions.
Crystal data and structure refinement for the compound are shown in Table 1.
Empirical formula C12 H16 Co N2 O8 Formula weight 374.9 Temperature [K] 293(2) Wavelength [Å] 0.71073 A space group P2(1)/c a [Å] 9.783(2) b [Å] 5.1290(10) c [Å] 17.446(5) α [°] 90 β [°] 123.71(2) γ [°] 90 V[Å 3] 728.2(3) Z 1 Dc [g cm -3] 1.56 µ (Mo Kα) [mm -1] 1.711 F(000) 1.224 θ Range [°] 4.17-27.47 Reflections collected 6738 Independent reflections 1677 [R(int) = 0.0138] Data / restraints / parameters 1677 / 0 / 122 Goodness-of-fit on F2 1.094 Final R1, wR2 [I>2σ(I)] R1 = 0.0222, wR2 = 0.0614 R (all data) R1 = 0.0227, wR2 = 0.0619 Largest diff. peak and hole (e.
And except Fig.5B, the peak currents for oxygen reduction obtained on modified electrodes for 60 min are smaller than those obtained on modified electrodes for 30 min.
Online since: July 2014
Authors: Ze Yu Li, Xiang Yang Ye, Jin Ping Liu
The simulation is based on the meteorological data of monthly typical day which was summarized from a year round data of subtropical Guangzhou.
The meteorological data of monthly typical day was used to predict the performance of solar refrigeration system reasonably.
The hourly data of typical day is the average of monthly data.
The data covers from April to October because the solar cooling system mainly works in this period.
The simulation is based on a year round meteorological data of subtropical Guangzhou.
Online since: July 2003
Authors: J.S. Owen
One area where research has yet to make a real breakthrough is in the use of modal test data.
However, there are problems in obtaining good vibration data for large beams supported on "hard" supports, such as the round steel bearings used in simple load tests.
When this measure is applied to the data collected from this exercise (Fig 4) it can again be seen that there is a slight, but again discernible, trend in the data.
Although the increase in separation is larger than the frequency shift, the amount of scatter also increased and so it is unlikely that these data will be any more sensitive or useful than the frequency data.
Acknowledgements Data for the work presented in this paper were collected with the help of Johari Yusop and Zhongsheng Wang.
Online since: September 2014
Authors: Peng Cui, Jin Tao Cui
Structural distress due to loss of bond or reduction of the cross-sectional area can be caused with time.
It is responsible for the loss of strength and serviceability of RC bridges over time because of the reduction in concrete and steel cross-sectional area, and the loss of bond between corroded steel and concrete.
Structural distress due to either loss of bond along the steel/concrete interface resulting from splitting of the concrete cover, or reduction of the cross-sectional area of the reinforcing bars can be caused over time.
Pitting Corrosion and Structural Reliability of Corroding RC Structures: Experimental Data and Probabilistic Analysis.
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