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Online since: November 2007
Authors: Sarika Patel, Y. Hu, Uwe Gbureck, J.E. Barralet, Liam M. Grover
The
composition of the crystalline component of selected cements was then determined using Rietveld
refinement of X-ray diffraction data (Siemens, Germany).
The combination of calcium alginate beads even at a cement:bead ratio of six resulted in a reduction in compression strength from 48 ± 12 MPa with the addition of no beads to 12 ± 1 MPa (Fig. 1).
In the case of the non-macroporous brushite cement there was a steady reduction in the mass of the cement during the first fourteen days of immersion in PBS with the cement losing approximately 10wt% of its mass in this time.
When aged in refreshed PBS at a LCVR of 60, there was a steady reduction in the proportion of the cement formed from brushite, after a period of fourteen days of ageing HA was detected in the cement matrix (Table 1), which corresponded to the reduction in the rate at which mass was lost from the cement material (Fig. 2).
Although more soluble than HA cements, brushite is metastable and can hydrolyse to form HA which results in a reduction of pH at the implant site (Equation 1) and ultimately results in the long term stability of the material [7].
The combination of calcium alginate beads even at a cement:bead ratio of six resulted in a reduction in compression strength from 48 ± 12 MPa with the addition of no beads to 12 ± 1 MPa (Fig. 1).
In the case of the non-macroporous brushite cement there was a steady reduction in the mass of the cement during the first fourteen days of immersion in PBS with the cement losing approximately 10wt% of its mass in this time.
When aged in refreshed PBS at a LCVR of 60, there was a steady reduction in the proportion of the cement formed from brushite, after a period of fourteen days of ageing HA was detected in the cement matrix (Table 1), which corresponded to the reduction in the rate at which mass was lost from the cement material (Fig. 2).
Although more soluble than HA cements, brushite is metastable and can hydrolyse to form HA which results in a reduction of pH at the implant site (Equation 1) and ultimately results in the long term stability of the material [7].
Online since: June 2010
Authors: Dariusz Rydz, Robert Skoblik, Grzegorz Stradomski
Cold rolling process of the
three layers was made for three reductions rates: ε = 10%, 15% and 20%.
Distribution of relative flow rate of multilayer plates of asymmetrical rolling process for relative rolling reduction ε = 10% a) for asymmetry ratio of the rolls speed av= 1.0, b) for optimal asymmetry ratio of the rolls speed avopt= 1.07 a) b) Fig. 3.
Distribution of relative flow rate of multilayer plates of asymmetrical rolling process a) for relative rolling reduction ε = 15% and asymmetry ratio of the rolls speed avopt= 1.12, b) for relative rolling reduction ε = 20% and asymmetry ratio of the rolls speed avopt= 1.19 This phenomenon indicated the necessity of conducting laboratory tests aiming to evaluate the influence of this phenomenon on the quality of those layers merging after the rolling process.
The multilayer plates after rolling process for relative reduction ε = 10% On the basis of laboratory tests realized for established in the work range of tests and moderations of rolled samples there was observed no lack of continuity of merged layers at the place of merging Cu-Al and AlMg-Al.
Comparison of results of numerical investigations with results of experimental tests for optimum of asymmetry ratio of the rolls speed avopt On the basis of literature data [1-6] it can be acknowledged that the plates possessing curvature after rolling lower than 0.2 can be accepted as flat.
Distribution of relative flow rate of multilayer plates of asymmetrical rolling process for relative rolling reduction ε = 10% a) for asymmetry ratio of the rolls speed av= 1.0, b) for optimal asymmetry ratio of the rolls speed avopt= 1.07 a) b) Fig. 3.
Distribution of relative flow rate of multilayer plates of asymmetrical rolling process a) for relative rolling reduction ε = 15% and asymmetry ratio of the rolls speed avopt= 1.12, b) for relative rolling reduction ε = 20% and asymmetry ratio of the rolls speed avopt= 1.19 This phenomenon indicated the necessity of conducting laboratory tests aiming to evaluate the influence of this phenomenon on the quality of those layers merging after the rolling process.
The multilayer plates after rolling process for relative reduction ε = 10% On the basis of laboratory tests realized for established in the work range of tests and moderations of rolled samples there was observed no lack of continuity of merged layers at the place of merging Cu-Al and AlMg-Al.
Comparison of results of numerical investigations with results of experimental tests for optimum of asymmetry ratio of the rolls speed avopt On the basis of literature data [1-6] it can be acknowledged that the plates possessing curvature after rolling lower than 0.2 can be accepted as flat.
Online since: December 2014
Authors: Žofia Šimeková, Pavol Semančo, Michal Balog
Radio Frequency Identification (RFID) technology introduces the way of automated data collection, and processing to improve accuracy of processed data.
It can bring the return of initial investment and cost reduction.
Measured data stored in memory can be further analysis.
The captured data are collected and transfer via middleware to central computer unit for following processing.
The computer unit evaluates collected data and signalizes failure visually or in terms of sound if any.
It can bring the return of initial investment and cost reduction.
Measured data stored in memory can be further analysis.
The captured data are collected and transfer via middleware to central computer unit for following processing.
The computer unit evaluates collected data and signalizes failure visually or in terms of sound if any.
Online since: September 2013
Authors: Cheng Liang Wang, Ming Zhou Bai, Guo Xiang, Zhao Yi Xu, Jun Jun Yan
,LTD, Beijing 100088
a10115295@bjtu.edu.cn, b10115286@bjtu.edu.cn, cmzhbai@bjtu.edu.cn, dzhyxu@bjtu.edu.cn,
e yjj.good@163.com
Keywords: stability; numerical simulation; strength reduction; seepage
Abstract: Landslide instability has plenty of influential factors.
The establishment process of the numerical model is listed as follows[4,5] : (1) Modeling: According to drilling data, field investigation and surveying data, we are to establish a three-dimensional geological model for the slope.
As the basic principle of strength reduction is similar to the progressive destruction process of slope, the deformation process of slope can be generalized as: the deformation speed is high at the very beginning, then slows down, and eventually tends to be stable. 3.2.3 Slope Shearing Stress and Shearing Strain Increment Analysis Fig. 13 The shearing stress distribution under waterlogged state Fig. 14 The shearing stress increment under waterlogged state Shown by the shearing stress distribution in Fig. 13, under waterlogged state, the shearing stress belt still concentrates around the primary slide zone, which is basically identical with shearing strain increment concentration zone (Fig. 14).
The establishment process of the numerical model is listed as follows[4,5] : (1) Modeling: According to drilling data, field investigation and surveying data, we are to establish a three-dimensional geological model for the slope.
As the basic principle of strength reduction is similar to the progressive destruction process of slope, the deformation process of slope can be generalized as: the deformation speed is high at the very beginning, then slows down, and eventually tends to be stable. 3.2.3 Slope Shearing Stress and Shearing Strain Increment Analysis Fig. 13 The shearing stress distribution under waterlogged state Fig. 14 The shearing stress increment under waterlogged state Shown by the shearing stress distribution in Fig. 13, under waterlogged state, the shearing stress belt still concentrates around the primary slide zone, which is basically identical with shearing strain increment concentration zone (Fig. 14).
Online since: September 2013
Authors: Martin Beck, Tilo Sielaff
With 6000h of operation time, those reductions of the pressurized air lead to energy savings of 11240 kWh per year.
Fig. 2 Reduction of losses due to adaptive consideration of linked flux Energy efficient auxilliary components of the machine tool.
To forecast the future using profile of a production machine data can be taken from • Historic data (ERP-system, Maintenance data), • Live measurements and extrapolation and • Expert estimations.
A method to gain such data is presented by [14].
In the η-factory this will be realized by an energy control system which is based on live data measurements and by simulation approaches for key technologies.
Fig. 2 Reduction of losses due to adaptive consideration of linked flux Energy efficient auxilliary components of the machine tool.
To forecast the future using profile of a production machine data can be taken from • Historic data (ERP-system, Maintenance data), • Live measurements and extrapolation and • Expert estimations.
A method to gain such data is presented by [14].
In the η-factory this will be realized by an energy control system which is based on live data measurements and by simulation approaches for key technologies.
Online since: April 2013
Authors: Vlad Ciubotariu, Aurelian Albut
Parameters as: angle between flange and sidewall, angle between sidewall and part bottom, chamfer radius between part bottom and sidewall or chamfer radius between sidewall and flange are recorded in a data base.
The initial simulations plan together with the generated data base is used as an input for the genetic algorithm optimization method.
Material Properties Simulation of the forming processes based on finite element method using Dynaform 5.8.1 software requires as input data the mechanical properties of the used materials.
The data acquisition, processing and visualisation were performed using Catman Express software.
To validate the optimization method, a simulation has been performed using as input data the BHFs values generated by genetic algorithm optimization tool box (Table 4).
The initial simulations plan together with the generated data base is used as an input for the genetic algorithm optimization method.
Material Properties Simulation of the forming processes based on finite element method using Dynaform 5.8.1 software requires as input data the mechanical properties of the used materials.
The data acquisition, processing and visualisation were performed using Catman Express software.
To validate the optimization method, a simulation has been performed using as input data the BHFs values generated by genetic algorithm optimization tool box (Table 4).
Online since: October 2016
Authors: Nassim Djedoui, Abdelhafid Ounis, Mahdi Abdeddaim
A reduction of 70% in base displacement, velocity and 15% in base acceleration is obtained.
To achieve the objective mentioned above: reduction of the base isolator displacement, the lowest floor is the best emplacement of the ATMD.
Different control systems: (a) Passive control, (b) Passive hybrid control Each of the three previous models was subjected to real time-history data of three earthquakes of 1940 El-Centro, Northridge and Loma Prieta.
A reduction of about 60% in the RMS velocity J4 is also abstained as shown in Table 2.
An acceptable reduction of approximately 15% in base floor peak J5 and the RMS acceleration J6 obtained especially under El Centro and Northridge earthquakes.
To achieve the objective mentioned above: reduction of the base isolator displacement, the lowest floor is the best emplacement of the ATMD.
Different control systems: (a) Passive control, (b) Passive hybrid control Each of the three previous models was subjected to real time-history data of three earthquakes of 1940 El-Centro, Northridge and Loma Prieta.
A reduction of about 60% in the RMS velocity J4 is also abstained as shown in Table 2.
An acceptable reduction of approximately 15% in base floor peak J5 and the RMS acceleration J6 obtained especially under El Centro and Northridge earthquakes.
Distributions and Species of MnOx Included in MnOx/TiO2 Catalysts for Denitration at Low Temperature
Online since: January 2013
Authors: Feng He, Jun Lin Xie, De Fang, Zai Ying Shi, Hua Hu
The result of MN data illustrated that Mn4+ was the main form of valence state.
In addition, more Mn3+ and Mn2+ in catalysts prepared at 873 K promoted the NO reduction reaction above 413 K.
Baiker, Chromia on titania IV nature of active sites for selective catalytic reduction of NO by NH3, J.
Smirniotis, TiO2-supported metal oxide catalysts for low temperature selective catalytic reduction of NO with NH3: I.
Geus, The reduction and oxidation behaviour of manganese oxides, Catal.
In addition, more Mn3+ and Mn2+ in catalysts prepared at 873 K promoted the NO reduction reaction above 413 K.
Baiker, Chromia on titania IV nature of active sites for selective catalytic reduction of NO by NH3, J.
Smirniotis, TiO2-supported metal oxide catalysts for low temperature selective catalytic reduction of NO with NH3: I.
Geus, The reduction and oxidation behaviour of manganese oxides, Catal.
Online since: October 2011
Authors: Yu Han Sun, Ya Chun Liu, Li Tao Jia, De Bao Li, Du Lin Yin, Hai Tao Wu, Jian Gang Chen, Zai Hui Fu
The temperature was then gradually increased. the reaction data were collected when the system became stable and exhibited a good mass balance.
Effect of the calcination temperature on catalyst reduction behavior.
The step-reduction peaks of Co3O4 in the catalyst calcined at 650 °C disappear.
Peak θ indicates the one-step direct reduction of Co3O4 to Co metal.
The reduction peak δ of the undecomposed Co salt or Co(OH)2 is also observed in the catalyst calcined below 400 °C; the reduction peak δ of CPMZ-14-250 is weaker than that of CPMZ-14-200.
Effect of the calcination temperature on catalyst reduction behavior.
The step-reduction peaks of Co3O4 in the catalyst calcined at 650 °C disappear.
Peak θ indicates the one-step direct reduction of Co3O4 to Co metal.
The reduction peak δ of the undecomposed Co salt or Co(OH)2 is also observed in the catalyst calcined below 400 °C; the reduction peak δ of CPMZ-14-250 is weaker than that of CPMZ-14-200.
Feature Selection Method Based on Parallel Binary Immune Quantum-Behaved Particle Swarm Optimization
Online since: July 2012
Authors: Chao Chen, Hao Dong Zhu
It is a NP-complete question to choose representative feature set from massive data set.
So every chromosome corresponds to an attribute reduction subset.
The software tool used in experiment is Weka that is a series of machine learning algorithm related to data mining and developed by the New Zealand Waikato University.
So the ratio of the data transmission time and the whole time is much longer, which leads to gradually lower efficiency.
Conclusions This paper combines the master-slaver parallel computing technique with binary immune quantum-behaved particle swarm optimization to select feature subset from massive text data set.
So every chromosome corresponds to an attribute reduction subset.
The software tool used in experiment is Weka that is a series of machine learning algorithm related to data mining and developed by the New Zealand Waikato University.
So the ratio of the data transmission time and the whole time is much longer, which leads to gradually lower efficiency.
Conclusions This paper combines the master-slaver parallel computing technique with binary immune quantum-behaved particle swarm optimization to select feature subset from massive text data set.