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Online since: January 2012
Authors: Xiu Yun Chen, Jian Hao Lin
Design principles of thermal insulation materials
(1)Optimize the design of the grain size and grain gradation of styrofoam particles and the best ratio of that with other gelled material to make the density, thermal conductivity, heat storage coefficient, shrinkage and strength and other performance indicators have been optimized
(3)The introduction of additives make a large number of bubbles, cut off the heat transmission channel, not only reached the thermal insulation effect, but also improve the water keeping effects, the degree of cement hydration and insulation strength
(3)The introduction of additives make a large number of bubbles, cut off the heat transmission channel, not only reached the thermal insulation effect, but also improve the water keeping effects, the degree of cement hydration and insulation strength
Online since: October 2018
Authors: S.A. Shalnova, Olga G. Klimova-Korsmik, M.O. Gushchina
Grains are located in the direction of heat removal.
The grain size is 100-500 μm.
The surface of the rupture site is characterized by a large number of facets, which characterizes material as a sufficiently high plasticity, and characteristic of brittle fracture by metallic luster.
The grain size is 100-500 μm.
The surface of the rupture site is characterized by a large number of facets, which characterizes material as a sufficiently high plasticity, and characteristic of brittle fracture by metallic luster.
Online since: July 2008
Authors: Antonio Forn, Maite T. Baile, Sergi Menargues, Manel Campillo
The microstructure of as-cast EN AC-46500 (Fig. 6) consists of primary
grains of the α-solid.
In contrast to the thixocasting process, eutectic microconstituent occluded in the α-grains was not observed.
Acknowledgements The authors thank the Comisión Interministerial de Ciencia y tecnología (CICYT) of Spain for the support provided under projects numbers: DPI2005-02456 and CICYT DPI2007-62948.
In contrast to the thixocasting process, eutectic microconstituent occluded in the α-grains was not observed.
Acknowledgements The authors thank the Comisión Interministerial de Ciencia y tecnología (CICYT) of Spain for the support provided under projects numbers: DPI2005-02456 and CICYT DPI2007-62948.
Online since: November 2011
Authors: Xue Si Zhong, Wei Chen, Chao Lian
The index system reflects an interrelated and interdependent group of statistical indicators with a number of indicators in a complex system, so that it can completely and accurately reflects many aspects of realistic situation about the development of the urban agglomeration on the west coast of the strait, and instructs the urban agglomeration on the west coast of the strait developing healthily and rapidly.
(See Table 1) Table 1 Evaluating Index System of Urban competitive power of the urban agglomeration on the west coast of the strait A Horizon B Horizon C Horizon Units Urban competitive power of the urban agglomeration on the west coast of the strait B1 Economic Power C1 Regional Gross Product Per Capita One hundred million Yuan C2 The Social Fixed Assets Investment One hundred million Yuan B2 Financial Power C3 The RMB Outstanding Loan in Financial Institutions Ten thousand Yuan C4 The RMB outstanding Deposits in Financial Institutions Ten thousand Yuan B3 Science and Education Power C5 Spending on Science and Technology Ten thousand Yuan C6 Spending on Education Ten thousand Yuan B4 Government Power C7 Local Financial Revenue Ten thousand Yuan C8 Local Financial Expenditure Ten thousand Yuan B5 Development Level C9 Grain Production Ton C10 Industrial Output over the Scale One hundred million Yuan B6 Industrial Structure C11 The Ratio of the Second and the Third Industries
(4) Table 2 Each Indicators’ Grey Correlation Coefficient and Weight in Synthetic Evaluation of Urban competitive power of the urban agglomeration on the west coast of the strait (2010) Indicators Grey Correlation Coefficient Weights C1 Regional Gross Product Per Capita 0.553 0.072 C2 The Social Fixed Assets Investment 0.497 0.065 C3 The RMB Outstanding Loan in Financial Institutions 0.510 0.067 C4 The RMB outstanding Deposits in Financial Institutions 0.520 0.068 C5 Spending on Science and Technology 0.493 0.064 C6 Spending on Education 0.582 0.076 C7 Local Financial Revenue 0.557 0.073 C8 Local Financial Expenditure 0.567 0.074 C9 Grain Production 0.653 0.085 C10 Industrial Output over the Scale 0.530 0.069 C11 The Ratio of the Second and the Third Industries to GDP 0.576 0.075 C12 The Added Value of the Tertiary Industry 0.570 0.075 C13 Annual Total Water Supply 0.534 0.070 C14 Green Coverage
(See Table 1) Table 1 Evaluating Index System of Urban competitive power of the urban agglomeration on the west coast of the strait A Horizon B Horizon C Horizon Units Urban competitive power of the urban agglomeration on the west coast of the strait B1 Economic Power C1 Regional Gross Product Per Capita One hundred million Yuan C2 The Social Fixed Assets Investment One hundred million Yuan B2 Financial Power C3 The RMB Outstanding Loan in Financial Institutions Ten thousand Yuan C4 The RMB outstanding Deposits in Financial Institutions Ten thousand Yuan B3 Science and Education Power C5 Spending on Science and Technology Ten thousand Yuan C6 Spending on Education Ten thousand Yuan B4 Government Power C7 Local Financial Revenue Ten thousand Yuan C8 Local Financial Expenditure Ten thousand Yuan B5 Development Level C9 Grain Production Ton C10 Industrial Output over the Scale One hundred million Yuan B6 Industrial Structure C11 The Ratio of the Second and the Third Industries
(4) Table 2 Each Indicators’ Grey Correlation Coefficient and Weight in Synthetic Evaluation of Urban competitive power of the urban agglomeration on the west coast of the strait (2010) Indicators Grey Correlation Coefficient Weights C1 Regional Gross Product Per Capita 0.553 0.072 C2 The Social Fixed Assets Investment 0.497 0.065 C3 The RMB Outstanding Loan in Financial Institutions 0.510 0.067 C4 The RMB outstanding Deposits in Financial Institutions 0.520 0.068 C5 Spending on Science and Technology 0.493 0.064 C6 Spending on Education 0.582 0.076 C7 Local Financial Revenue 0.557 0.073 C8 Local Financial Expenditure 0.567 0.074 C9 Grain Production 0.653 0.085 C10 Industrial Output over the Scale 0.530 0.069 C11 The Ratio of the Second and the Third Industries to GDP 0.576 0.075 C12 The Added Value of the Tertiary Industry 0.570 0.075 C13 Annual Total Water Supply 0.534 0.070 C14 Green Coverage
Online since: May 2006
Authors: Alexander Deyneka, Gunnar Suchaneck, Lubomir Jastrabik, Gerald Gerlach
Introduction
The self-polarization effect is extremely important for integrated pyroelectric sensor array
fabrication, where ferroelectric switching is unemployable and where a large number of small
sensor elements should be poled uniformly in an easy way.
Our sputter-deposited films had XRD-coherence lengths (grain sizes) evaluated from the X-ray diffraction peak broadening of about 40 to 60 nm and c/a values of 1.032 to 1.045.
However, domain walls of thin films are pinned in fine grains or even by the space charge field at the bottom electrode.
Our sputter-deposited films had XRD-coherence lengths (grain sizes) evaluated from the X-ray diffraction peak broadening of about 40 to 60 nm and c/a values of 1.032 to 1.045.
However, domain walls of thin films are pinned in fine grains or even by the space charge field at the bottom electrode.
Online since: June 2012
Authors: Ying Chun Shan, Jiu Jun Xu, Jiang Tao Li, Xiao Guang Han, Guang Wang, Hui Ye
Fig.2 also show that the shrinkage rate for all the samples reaches to peak value at about 1700 °C, a large number of low-viscosity liquid should is formed, which indicates that the formation of SiAlON has little been affected by h-BN.
There should initiate microcrack in SiAlON/BN composite materials during cooling after sintering, and the cohesion between grains is incremented, and the thermal stress also be erased fowling the microcrack closed when test sample heating.
Kim, Growth of elongated grains in α-SiAlON ceramics, Mater.
There should initiate microcrack in SiAlON/BN composite materials during cooling after sintering, and the cohesion between grains is incremented, and the thermal stress also be erased fowling the microcrack closed when test sample heating.
Kim, Growth of elongated grains in α-SiAlON ceramics, Mater.
Online since: October 2014
Authors: Sorin Vasile Savu
The samples used for experimental DTA in microwaves have been a homogeneous mixture of Fe2O3+BaCO3 with the follows characteristics:
Table 1 The characteristics of the sample heated in microwaves field
Sample Characteristics
Code
Sample
Milling Time
[ h ]
Grain size
[ nm ]
Pressing Force
[ MPa ]
Sample Size
Height/Diameter
[ mm ]
HM
0
1120
300
4/12
HM5
5
400
300
4/12
HM20
20
100
300
4/12
The inert material used in experiments was barium ferrite type M sintered in conventional furnace with electrical resistance.
An important observation is the temperature evolution in the inert material without milling time, because this behaviour shows us that will not be necessary to use a planetary ball to mill the homogeneous mixture to reduce his grains size to obtain a easy heating in microwave field.
Acknowledgement This work was partially supported by the grant number 47c/2014, awarded in the internal grant competition of the University of Craiova References [1] I.
An important observation is the temperature evolution in the inert material without milling time, because this behaviour shows us that will not be necessary to use a planetary ball to mill the homogeneous mixture to reduce his grains size to obtain a easy heating in microwave field.
Acknowledgement This work was partially supported by the grant number 47c/2014, awarded in the internal grant competition of the University of Craiova References [1] I.
Online since: May 2011
Authors: Si Bo Ding
(Liu [5])An uncertain variable is a measurable function from an uncertainty space (,,) to the set of real numbers, i.e., for any Borel set B of real numbers, the set is an event.
(Liu [5]) The uncertainty distribution Φ of an uncertain variable is defined by for any real number .
Repeat the second to sixth steps a given number of cycles.
Acknowledgment This work was supported by Soft Science Research of China State Administration of Grain Grant No.72 , Humanities and Social Sciences Research of Henan Province Grant No. 2009-QN-023 and Talents Cultivation Fund of Henan University of Technology Grant No. 2009BS023.
(Liu [5]) The uncertainty distribution Φ of an uncertain variable is defined by for any real number .
Repeat the second to sixth steps a given number of cycles.
Acknowledgment This work was supported by Soft Science Research of China State Administration of Grain Grant No.72 , Humanities and Social Sciences Research of Henan Province Grant No. 2009-QN-023 and Talents Cultivation Fund of Henan University of Technology Grant No. 2009BS023.
Online since: December 2010
Authors: Wen Jie Fan, Fang Liu
Table 1 Samples serial number and their picture
Number
1#
2#
3#
4#
5#
Interface
planar structure
v-groove
u-groove
Ring groove
Ring claw-tooth
picture
In the drilling process, there are two critical temperatures 350℃ and 750℃ for the PDC tooth thermal wear.
Table 2 Test result of PDC impact resistance at normal temperature Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 20 20 78.4 2# v-groove 20 45 176.4 3# T-groove 20 70 274.4 4# Ring groove 20 90 352.8 5# Ring claw-tooth 20 130 509.6 Table 3 Test result of impact resistance of PDC heated Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 750 15 58.8 2# v-groove 750 37 145.0 3# T-groove 750 60 235.2 4# Ring groove 750 77 301.8 5# Ring claw-tooth 750 118 462.6 Fig.2 shows the abrasion ratio of different interface structure for PDC in 20°C and 750°C,Fig.3 shows the impact resistance performance of different interface structure for PDC in 20°C and 750°C.
Beside, most of crystalline grains in the diamond layer have combined into the D-D structure.
Table 2 Test result of PDC impact resistance at normal temperature Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 20 20 78.4 2# v-groove 20 45 176.4 3# T-groove 20 70 274.4 4# Ring groove 20 90 352.8 5# Ring claw-tooth 20 130 509.6 Table 3 Test result of impact resistance of PDC heated Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 750 15 58.8 2# v-groove 750 37 145.0 3# T-groove 750 60 235.2 4# Ring groove 750 77 301.8 5# Ring claw-tooth 750 118 462.6 Fig.2 shows the abrasion ratio of different interface structure for PDC in 20°C and 750°C,Fig.3 shows the impact resistance performance of different interface structure for PDC in 20°C and 750°C.
Beside, most of crystalline grains in the diamond layer have combined into the D-D structure.
Online since: September 2014
Authors: Shuai Su, Fang Zhao, Hong Wei Jia
Ultrasonic location have the capability to be fine-grained and a high degree of resolution because the speed of ultrasound in air is sufficiently slow to allow the time-of-flight of a signal to be accurately measured[3,4,5].
After collecting data, we aimed at the research of ranging accuracy on the position of different angles as well as different number of reference nodes Fig.2 Average range error contrast figure under different Angle Fig. 2 shows the simulation rendering of mean error when the angle between node under test and reference node is different.
However, with the increase of reference nodes number, the calculation amount of algorithm is becoming more and more large.
Along with the increase of the number of reference nodes, positioning system constantly request.
Therefore, the number of the reference nodes which participate in position calculation increases and positioning accuracy is on the rise.
After collecting data, we aimed at the research of ranging accuracy on the position of different angles as well as different number of reference nodes Fig.2 Average range error contrast figure under different Angle Fig. 2 shows the simulation rendering of mean error when the angle between node under test and reference node is different.
However, with the increase of reference nodes number, the calculation amount of algorithm is becoming more and more large.
Along with the increase of the number of reference nodes, positioning system constantly request.
Therefore, the number of the reference nodes which participate in position calculation increases and positioning accuracy is on the rise.