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Online since: April 2014
Authors: Almira Ramanaviciene, Asta Makaraviciute, Tautgirdas Ruzgas, Arunas Ramanavicius
Since in many cases biorecognition molecules are immobilized on gold-coated supports, antibody reduction and immobilization via sulfhydryl groups is a very convenient technique.
Methods Antibody reduction to Frag-Ab.
Data processing.
The obtained data were processed using QSoft program (Q-Sense, Sweden).
Even supposing that the use of this equation might result in inaccuracies in calculation of the results, it greatly simplifies the data evaluation process while still giving correct information for comparison of different systems and evaluating the kinetics.
Methods Antibody reduction to Frag-Ab.
Data processing.
The obtained data were processed using QSoft program (Q-Sense, Sweden).
Even supposing that the use of this equation might result in inaccuracies in calculation of the results, it greatly simplifies the data evaluation process while still giving correct information for comparison of different systems and evaluating the kinetics.
Online since: August 2013
Authors: Bao Kui Gao, Xing Qin, Xuan Zhuo Han, Hong Qiang Zhang, Wei Wang
Table 1 Casing technical parameters
parameters
OD
/mm
Thickness
/mm
Internal pressure strength
/MPa
Collapse resistance
/MPa
Intermediate casing
339.7
13.06
34
19.9
Production casing
244.5
13.84
66.7
54.8
Table 2 Casing and fluid parameters
parameters
unit
values
E, the elastic modulus of steel
MPa
2.05×105
α ,steel coefficient of thermal expansion
1/℃
1.2×10-5
μ , steel poisson’s ratio
-
0.3
αc1 ,completion fluid volume expansion coefficient
1/℃
7×10-4
Ec1, completion fluid volume modulus of elasticity
MPa
2200
αc1, compressible fluid volume expansion coefficient
1/℃
1.4×10-3
*αc1 is a backstepping data.
Table 3 Comparison of gas quantity of proposed method and experiment Annulus pressure reduction Gas amount of Experimental data Gas amount of proposed data error 40% 1% 0.75% 25% 50% 1.5% 1.2% 20% 65% 2% 1.9% 5% 70% 2.5% 2.3% 8% 75% 5% 4.5% 10% From the table 3, we can see that the error is basically between 5%~25%, this may be caused some values of the parameters and the actual difference.
Conclusion In this paper, using the gas and liquid mixed fluid bulk modulus calculation method, quantitative analysis of the annulus pressure reduction need to the length of a compressible fluid.
Table 3 Comparison of gas quantity of proposed method and experiment Annulus pressure reduction Gas amount of Experimental data Gas amount of proposed data error 40% 1% 0.75% 25% 50% 1.5% 1.2% 20% 65% 2% 1.9% 5% 70% 2.5% 2.3% 8% 75% 5% 4.5% 10% From the table 3, we can see that the error is basically between 5%~25%, this may be caused some values of the parameters and the actual difference.
Conclusion In this paper, using the gas and liquid mixed fluid bulk modulus calculation method, quantitative analysis of the annulus pressure reduction need to the length of a compressible fluid.
Online since: June 2017
Authors: Nicholas Tenison, Jacky Yu, Zhong Xiao Peng, Juan Carlos Baena
Each sample was tested three times to obtain reliable data.
Linear, quadratic and cubic curve estimation regression analysis was completed, on each power and the entire data set to ascertain if a significant relationship existed between the tested variables and COF.
These positive characteristics may be a result of more effective nanotube dispersion and distribution, strengthing the composites struture, the lack of pitting and striations possibly indicating a reduction of third body wear.
As shown in Fig. 8, ball milling and sonication have very comparable coefficients of friction (0.17), with sonication presenting higher standard deviation within experimental data.
Use of this method can increase materials properties to a greater extent than the most common mixing method, ball milling (within this study an average wear volume reduction of 4.3% in comparison to ball milling was achieved, all else equal).
Linear, quadratic and cubic curve estimation regression analysis was completed, on each power and the entire data set to ascertain if a significant relationship existed between the tested variables and COF.
These positive characteristics may be a result of more effective nanotube dispersion and distribution, strengthing the composites struture, the lack of pitting and striations possibly indicating a reduction of third body wear.
As shown in Fig. 8, ball milling and sonication have very comparable coefficients of friction (0.17), with sonication presenting higher standard deviation within experimental data.
Use of this method can increase materials properties to a greater extent than the most common mixing method, ball milling (within this study an average wear volume reduction of 4.3% in comparison to ball milling was achieved, all else equal).
Online since: February 2024
Authors: Pham Quang Trung, Bui Duy Khanh, Dang Minh Nhat
However, the published data regarding the research conducted on the heat treatment of FSW welds involving 7075 aluminums is not full.
The data reveals a consistent trend wherein non-heated samples exhibit a mean tensile force of 2200 ± 78 N and an average elongation of 23.8 ± 0.16%.
In other words, when subjected to heating, tensile samples generally exhibit increased elongation and decreased force, as evidenced by both non-heated and heated data.
The results indicate that the heat-treated sample exhibits lower hardness values compared to the remaining sample across all points within the welded area, thereby providing evidence that the heat-treatment technique leads to a reduction in sample hardness.
The results of the hardness test indicate that the application of heat during the welding process led to a reduction in hardness within the heat-affected zones.
The data reveals a consistent trend wherein non-heated samples exhibit a mean tensile force of 2200 ± 78 N and an average elongation of 23.8 ± 0.16%.
In other words, when subjected to heating, tensile samples generally exhibit increased elongation and decreased force, as evidenced by both non-heated and heated data.
The results indicate that the heat-treated sample exhibits lower hardness values compared to the remaining sample across all points within the welded area, thereby providing evidence that the heat-treatment technique leads to a reduction in sample hardness.
The results of the hardness test indicate that the application of heat during the welding process led to a reduction in hardness within the heat-affected zones.
Online since: September 2013
Authors: Qi Zhu, Zhi Wen Feng
Introduction
With the rapid development of the economy and society, energy becomes more and more shortage, and environmental pollution is getting worse, the state pays more attention to the environmental protection and the aspects of energy conservation and emission reduction.
Primarily responsible for closed loop PID operation, analog data processing, control inverter and computer communications.
Man-machine interface is an important input and output devices, it can real-time communicate with on-site PLC controller for data exchange, and easy to remote monitoring the operational status of the entire system.
(3) Load reduction: When the load is reduced, water demand , less water supply capacity, pressure rise, the pressure feedback signal increases, the deviation deviation, PID control output incremented <0, the inverter output frequency decreases, the pump speed is reduced, diminished water supply capacity, and finally reach a new equilibrium, the pressure to restore and maintain balance between supply and demand.
Fig. 4 Digital PID control algorithm for incremental flow Man-machine Interface Design In order to make the system more practical,timely and quick to read the test data and set at a predetermined pressurevalue, this project was designed based on Asiacontrol HMI configuration software monitoring system PC, PLC controller with on-site communications, the collected real-time pressure communication to HMI displays, enter the man-machine interface can be freely set pressure value and PID parameter,and then downloaded to the PLC real-time controller, after PID operation, the inverter output corresponding frequency, control the speed of the motor, and ultimately achieve constant voltage control purposes.
Primarily responsible for closed loop PID operation, analog data processing, control inverter and computer communications.
Man-machine interface is an important input and output devices, it can real-time communicate with on-site PLC controller for data exchange, and easy to remote monitoring the operational status of the entire system.
(3) Load reduction: When the load is reduced, water demand , less water supply capacity, pressure rise, the pressure feedback signal increases, the deviation deviation, PID control output incremented <0, the inverter output frequency decreases, the pump speed is reduced, diminished water supply capacity, and finally reach a new equilibrium, the pressure to restore and maintain balance between supply and demand.
Fig. 4 Digital PID control algorithm for incremental flow Man-machine Interface Design In order to make the system more practical,timely and quick to read the test data and set at a predetermined pressurevalue, this project was designed based on Asiacontrol HMI configuration software monitoring system PC, PLC controller with on-site communications, the collected real-time pressure communication to HMI displays, enter the man-machine interface can be freely set pressure value and PID parameter,and then downloaded to the PLC real-time controller, after PID operation, the inverter output corresponding frequency, control the speed of the motor, and ultimately achieve constant voltage control purposes.
Online since: December 2013
Authors: Thanh Hien Lam, Peng Jen Chen, Jun Hsien Yeh, Tsun Ho Lin, Thanh Lam Nguyen, Ming Hung Shu, Bi Min Hsu
They lacked substantial procedures, leading to incessant modifications of the data analysis methods and major steelmaking variables.
To improve the current manufacturing process, this study implements six sigma-based systematic approaches called DMAIC (define, measure, analyze, improve, and control) to optimize steelmaking variables of the sulfur free-cutting steels for process improvement and cost reduction.
We first proceed to define and measure phases based on the underlying production data of the sulfur free-cutting steels, then we find the optimal process parameters as the result of the analyzed phase, and finally, we carry out improved and controlled phases to ensure the process improvement and cost reduction.
Based on the data collected from January - June 2012 with 20 heats/month, we find the linear regression between EP[Mn] (dependent variable) and EP[C], FeO, and EPT (independent variables) shown in Eq. (1).
To improve the current manufacturing process, this study implements six sigma-based systematic approaches called DMAIC (define, measure, analyze, improve, and control) to optimize steelmaking variables of the sulfur free-cutting steels for process improvement and cost reduction.
We first proceed to define and measure phases based on the underlying production data of the sulfur free-cutting steels, then we find the optimal process parameters as the result of the analyzed phase, and finally, we carry out improved and controlled phases to ensure the process improvement and cost reduction.
Based on the data collected from January - June 2012 with 20 heats/month, we find the linear regression between EP[Mn] (dependent variable) and EP[C], FeO, and EPT (independent variables) shown in Eq. (1).
Online since: December 2013
Authors: Golrokh Khakzar, Soolmaz Abdali Hajiabadi, Saeed Kamali
This task can be easily done with the data, employers give to the system.
In addition, the default data such as daily and seasonal changes, design conditions and equipment selection helps to choose the best choice.
By using various interior and exterior sensors and also computer network, getting permanent and immediate data of temperature, pressure, humidity, air flow rate, oxygen and carbon dioxide are possible.
Figure 3 - Electrical demand in building [5] Fig. 3 shows a 50 percent reduction in electrical demand before 2002 and after 2003 retrofits.
Result of retrofits Energy consumption reduction 50% Annual energy demand decline 1,220,000 [KW] Annual saving USD 172,000 Payback period 1.7 years References [1] Figueiredo J. and Costa J.
In addition, the default data such as daily and seasonal changes, design conditions and equipment selection helps to choose the best choice.
By using various interior and exterior sensors and also computer network, getting permanent and immediate data of temperature, pressure, humidity, air flow rate, oxygen and carbon dioxide are possible.
Figure 3 - Electrical demand in building [5] Fig. 3 shows a 50 percent reduction in electrical demand before 2002 and after 2003 retrofits.
Result of retrofits Energy consumption reduction 50% Annual energy demand decline 1,220,000 [KW] Annual saving USD 172,000 Payback period 1.7 years References [1] Figueiredo J. and Costa J.
Online since: March 2013
Authors: Bevis Hutchinson, David Lindell, Mark Nave, Anthony D. Rollett
The final cold rolling reduction was 75%.
After hot rolling, steel B was given two cold rolling treatments with intermediate anneals to refine the grain structure prior to the final 75% cold rolling reduction.
The latter data were based on grain reconstruction with a minimum disorientation of 5º used to define a grain boundary.
These give both the correlated misorientations (for distributions based on boundary length) and the uncorrelated data which show the contribution that can be assigned purely to texture.
A better representation is achieved by taking the ratio of these two data sets which has the effect of normalizing the grain boundary misorientations to eliminate the texture effect.
After hot rolling, steel B was given two cold rolling treatments with intermediate anneals to refine the grain structure prior to the final 75% cold rolling reduction.
The latter data were based on grain reconstruction with a minimum disorientation of 5º used to define a grain boundary.
These give both the correlated misorientations (for distributions based on boundary length) and the uncorrelated data which show the contribution that can be assigned purely to texture.
A better representation is achieved by taking the ratio of these two data sets which has the effect of normalizing the grain boundary misorientations to eliminate the texture effect.
Online since: December 2004
Authors: Wei Xiao Tang, B.C. Shi, H. Zhang, Yi Qi Zhou
. *** 679
q
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a
q
v
q
T
m
m
L
L
q
v
Li
x
x
L
R
L
K
L
K
J
KR
J
KR
J
KR
J
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i
x
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P
+
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−−
−
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1
0
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01000
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00010
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ω
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(2)
where: is motor torque constant, is motor electromotance constant, v is the speed of the
machine table, R is the reduction rate of the mechanical chain,
K T Kv
θ is motor rotor displacement, ω is
motor rotor speed,
i is torque control current.
L is torque loop inductance, R is torque loop resistance, is the inertia of motor rotor, K and are equivalent rigid coeficecent and inertia of the drive chain at the shaft of motor rotor, and can be calculated with the reduction rate of the mechanical chain and the coeficents of and x of Eq. 1.
The database layer is a common data exchange district where the server exchange design data with client by the ADO technology.
It exchanges data with IIS by the CGI programer and outputs dynamical curves in JPG format to the client.
L is torque loop inductance, R is torque loop resistance, is the inertia of motor rotor, K and are equivalent rigid coeficecent and inertia of the drive chain at the shaft of motor rotor, and can be calculated with the reduction rate of the mechanical chain and the coeficents of and x of Eq. 1.
The database layer is a common data exchange district where the server exchange design data with client by the ADO technology.
It exchanges data with IIS by the CGI programer and outputs dynamical curves in JPG format to the client.
Online since: May 2020
Authors: Shu Ren Zhang, Chao Wei Zhong, Yang Qin, Tian Ying Qin
The XRD data was refined by using Jade 6.5 software.
It can be inferred from the data in Table 1 that the decrease of Al2O3 phase in the sample is mainly related to the crystallization of ZnAl2O4 phase in the sample.
Each of the obtained samples was subjected to a bending strength test, the bending strength data are plotted in Figure 2.
The initial increase is due to the reduction of the porosity, and the latter decrease is due to the increase in the glass phase.
The initial increase is related to the reduction of the porosity and the increase of the crystal phase in the sample, As shown in Figure 1, the crystalline phase BaAl2Si2O8 is the main phase and the peak intensities of ZnAl2O4 are gradually enhance with the content of Al2O3 increasing.
It can be inferred from the data in Table 1 that the decrease of Al2O3 phase in the sample is mainly related to the crystallization of ZnAl2O4 phase in the sample.
Each of the obtained samples was subjected to a bending strength test, the bending strength data are plotted in Figure 2.
The initial increase is due to the reduction of the porosity, and the latter decrease is due to the increase in the glass phase.
The initial increase is related to the reduction of the porosity and the increase of the crystal phase in the sample, As shown in Figure 1, the crystalline phase BaAl2Si2O8 is the main phase and the peak intensities of ZnAl2O4 are gradually enhance with the content of Al2O3 increasing.