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Online since: October 2013
Authors: Yu Guo Wang, Bin Lin, Li Jie Li, Yan Fei Diao
Experimental Device and Test Method Experiments are taken on surface grinding machine HZ-63 with water-based coolants, the wheel used in the experimental investigation is a diamond grinding wheel with coarse grain of 100 and B 75.The test samples are zirconia ceramics and alumina ceramics with the size of 30mm×10mm×15mm.
Acknowledgement This project is supported by the National High Technology Research and Development Program of China (863 Program, 2013AA040103) and the National Science and Technology Major Project (under the contact number 2013ZX04006011-207).
Online since: June 2010
Authors: Dan Ma, Zhan Qing Chen, Xian Lei Shan
Control code is mainly for controlling the number of hidden nodes and the string length 1l are determined by 0.5-1.5 times of the number of input nodes, while the weight coefficient code is mainly the connection weight of the controlled network.
String length 2 1 1 1 l m l l l n n = × + + × + (m: the number of input nodes; n: the number of output nodes).
Step.3 Randomly generate a group, consisting L individuals, each individual consists of two parts, the first part is 0-1 string, whose length is 1l , and the other is a uniform distribution at a range of min 1 max 2 [ , ] u uδ δ − − , consisting 2l random numbers.
Step.7 According to the individual decoding with highest degree of fitness in the K generation, the corresponding network connection weight and the number of hidden nodes can be arrived, then, testing the generalization of the model by inputting the detection samples
Murty: Prediction of grain size of Al-7Si Alloy by neural networks.
Online since: October 2024
Authors: Lidya Risang Ayu, Lienda Aliwarga, Sanggono Adisasmito
Grain moisture content, operating pressure, pressing temperature, and pressing time are factors that affect oil recovery from the pressing process [22]–[28]. 2.
Then the saponification number obtained by Gharsallah et al., (2021) is different from the saponification number in this study, which is 168.3 mg KOH/g oil.
The difference in the saponification number is due to several factors such as different hydrolysis process times, the effect of using different hydrolysis temperatures, and oil storage which also affect the saponification number of Moringa seed oil [16], [21], [35]. 3.4.3 Acid value of Moringa oil The acid value obtained in this study showed results that tended to increase with the addition of the pressing temperature, both with a moisture content of 8% Moringa seeds and a moisture content of 16% Moringa seeds.
The same results were also shown at pressing temperatures of 80oC, 100oC and 120oC with a moisture content of 16% Moringa seeds which produced an acid number which tended to increase when the pressing temperature was increased.
However, the acid number obtained in this study is still included in the standard acid number for edible oil according to FAO/WHO, namely the standard acid number of 2.89 ± 0.01 mg KOH/g oil [34]. 3.4.4 Peroxide value of Moringa oil The peroxide value of the oil represents the amount of peroxide found in the structure of a sample and which has the ability to liberate iodine I2 in an oxidative process by potassium iodide KI [36].
Online since: July 2004
Authors: F. Saporiti, S. Gabbanelli, Fernando Audebert
The nanostructured Al-based alloys composed by α-Al nano-grains embedded in an amorphous matrix show higher thermal stability and mechanical strength at room temperature than the fully amorphous alloys, moreover have three times greater mechanical strength than conventional Al alloys [2].
Therefore each pair of atoms (A-B) can be described, according its environment, by a sequence of four integer numbers.
The second number represents the quantity of shared neighbours (near-neighbours bonded with both A and B atoms).
These three numbers are not sufficient for characterising a topology, so a fourth number is added arbitrary but consistently for providing an unique correspondence between numbers and topologies [13].
As a normal behaviour it was observed that the total number of clusters increases as the temperature decreases.
Online since: October 2014
Authors: Radu Dan Rugescu, Florin Radu Bacaran, Stefan Catalin Predoiu
Considering the opposite side of the phenomenon, a secured ignition, start-up and sustained combustion could only be obtained by providing a sufficiently high initial pressure and temperature around the propellant grain in the chamber, by means of an adequate ignition device, or igniter.
Most of these species are formed through thermal dissociation from a reduced number of main products, which are compulsory formed, regardless the dissociation, under the direct action of the law of masses.
From the action of the law of masses and simple stoichiometry the theoretical oxygen content in gram-atoms per unit mass of BP mixture AOt that would produces a complete combustion is equal to , (1) provided the number of sulfur gram-atoms is higher than half the number of potassium gram-atoms, . (2) This is the basic case.
When the theoretical oxygen content in the powder is not available, , (5) besides the main products of combustion given above a limited number of main products of incomplete combustion occur.
However, when the shift from the molar participations nj to the partial pressures pj is done, the additional variable π appears, as the still unknown ration between the total pressure and the total number of moles of gaseous products, , (7) where the total pressure pc is usually given and the total number of gaseous moles nG is still unknown.
Online since: December 2010
Authors: Zhen Fu Chen, Wei Liu
Introduction Self-compacting concrete (SCC) is a new kind of high performance concrete materials, which can be close-grained molding in its own weight without vibration.
They were numbered from PC1 to PC5 according to the difference of SCC strength and reinforcement ratio.
Among them number PC1, number PC4, and number PC5 series beams had the same reinforcement ratio, and the experimental beams of number PC2, number PC3, and number PC4 had the same strength grade.
Test beams material parameters Beam number PC1 PC2 PC3 PC4 PC5 Concrete strength C20 C30 C30 C30 C40 b(mm)×h(mm) 105×153 102×153 104×155 100×158 100×159 fcu (N/mm2) 22.4 30.9 32.5 31.4 42.3 Ec(×104N/mm2) 2.67 3.03 3.03 3.03 3.31 Non-prestressed rebar 2Φ8+2Φ12 2Φ8+2Φ8 2Φ8+2Φ10 2Φ8+2Φ12 2Φ8+2Φ12 ρc (%) 2.43 1.59 1.97 2.43 2.43 Note: b, h, fcu and Ec are the physical width, physical height, compressive strength of cube test blocks and elastic modulus.
The characteristic parameters of experimental beams Beam number Pu /kN Mcr /kN·m My /kN·m Mu /kN·m Wm /mm Wmax /mm PC1 26 6.3 9.1 16.5 0.32 0.7 PC2 30 7.6 10.4 19.0 0.45 0.82 PC3 36 6.3 13.6 22.8 0.53 1.5 PC4 33 10.8 15.4 20.9 0.41 0.84 PC5 44 11.4 19.2 27.7 0.48 1.2 where , are the stiffness of applied not vertical load and applied grading vertical load; λ is a reflection of the test beam dynamic, static stiffness parameters.
Online since: December 2012
Authors: Sheng Zhou Li, Jun Wei Yao, Ming Hui Li
Plot the histogram of gray image exported from profile filled with the color, gray level is between [0,255], the histogram is a discrete function , here,is the K-level gray degrees,is the number of the pixels with gray-scale level of.
The sharpness of the image is related with the number of pixels and resolution ratio; if pixels is a certain number of, the higher the resolution ratio, the image are more clear, and vice versa.
As Figure 4, by setting the coarse grid as 4 pixels, calculate the remainder of the total number of same pixels in the same region of this row, an integer used to divide the coarse grid; the remainder is used in the fine grid at the boundary
Figure 5 shows the total pixel number is 441×599, actual size is 221m×300m, proportional conversion factor R is 0.61475m/pixel, actual area of each pixel is 0.25083 m2.
The initial mining is started from the 2220m level, boundary pillar above the mine is about 30m, the ore body is divided into five excavation, the stope number ranges 1~5, respectively, seen as Figure 7a~7e.
Online since: November 2019
Authors: Raad Sh. Alnayli, Hanan Alkazaali
Materials and Methods 2.1 Physical properties of target (Ag) Silver is a chemical element with the chemical symbol Ag and atomic number 47.
Ethanol is a solvent that can be also mixed with a number of other organic solvents, including acetic acid, acetone…).
The liquid depth was 2mm, the number of laser shots applied for the metal target at (50,100,150) pulses.
Show Figure (5-d) the extinction coefficient increases by increasing the number of laser pulses high values appear in the visible region.
This means that the metal transforming into semiconductor material and when grain size become smaller the optical energy gap increased this agree with [21].
Online since: May 2009
Authors: Wan Li Xiong, Ju Long Yuan, Lang Lv
In terms of the conservation law of primary magnetic flux, they can be formulated as ( ) ( )            ++ = − = + = = 92 28 121 4 62 12 1 3 5 121 2 31 121 1 3 4 )2( 3 4 xKrxpFK xx g xZK xx g rxpFK xx g xZK xx g sFe Fe s sFe Fe π δπ π π (4) Where 1g represents the tooth magnetic flux density of the stator, FeK is the laminated coefficient of the stator and the rotor iron cores, 1Z is the number of stator slots. 2g is the yoke magnetic flux density of the stator, sF is the wave amplitude coefficient of magnetic field, p is the number of pole pairs, sr is the radius of stator slot bottom. 3g denotes the tooth magnetic flux density of the rotor, δ is the air-gap length, 2Z is the number of rotor slots. 4g is the yoke magnetic flux density of the rotor, 2r is the radius of rotor slot bottom, 2K is the depth coefficient of the shaft penetrated by magnetic flux
As for an inverter-fed induction motor, the stator and the rotor iron cores are made of crystal grain non-oriented and cold-rolled silicon steel sheets [13].
Procedures of Optimization Design The procedures of optimizing electric and magnetic design of an inverter-fed induction motor used for ultra-precision machine tool motorized spindles are involved as follow (1) The rated power, the design frequency, the air-gap length, the number of the stator and the rotor slots, etc must be decided. (2) The above optimization problem mentioned is transformed into an equivalent unconstrained non-linear programming problem by adopting SUMT
Table 1 Design specifications Number of Phases 3 Number of pole pairs 1 Rated power (kW) 3 Rated line voltage (V) 320 Design frequency (Hz) 300 Rated speed (rpm) 18,000 Maximum speed (rpm) 24,000 Air-gap length (mm) 0.3 Shape of slots stator/rotor pear/circle Number of slots stator/rotor 18/16 From Table1, it can be found that the studied motor is designed as a 2 pole motor.
Table 3 Comparison of the stator winding design Solutions a b Winding type Double layer /Y connection Design parameters of the stator winding Diameter of copper conductors d (mm) 0.62 0.67 Number of parallel copper conductors 1c� 1 1 Number of turns per winding 1cW 27 24 Span of per winding y 8 8 Number of parallel branches per phase 1a 2 2 Fill factor of stator slots sf (%) 64 66 Table 4 Comparison of performance of the optimal design with that of the traditional one Solutions a b Equivalent circuit parameters Stator resistance per phase 1r (Ω ) 1.36 1.03 Rotor resistance referred to the stator per phase 2r'(Ω ) 1.76 1.39 Stator leakage reactance per phase 1X (Ω ) 4.13 3.26 Rotor leakage reactance per phase 2X ' (Ω ) 2.98 2.35 Magnetizing reactance mX (Ω ) 161.87 121 Performance Stator current per phase 1I (A) 8.9 8.52 Linear load A(A/cm) 345 293 Stator copper losses 1CuP (W) 324 225 Rotor copper
Online since: May 2010
Authors: Jian Jun Wu, Li Hong He
Then a large number of simulation results were compiled into a statistical function that represents the particle-surface collision.
The number of accepting the null hypothesis H0 out of all test results is given in Table 1.
When the significance level is specified as α=0.05, the number of accepting the null hypothesis that the data set is adequately modeled by Weibull distribution is 24 out of 29 runs.
While the numbers for normal, log-normal, gamma and exponential distributions are 0, 17, 9 and 7 respectively.
The corresponding number of accepting the null hypothesis H0 out of all test results is shown in Table 2 for α=0.05.
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