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Online since: September 2014
Authors: Luigi Tricarico, Donato Sorgente, G. Palumbo, Leonardo Daniele Scintilla, Antonio Piccininni, Pasquale Guglielmi
Further, if these alloy are maintained at higher temperature also for short periods of time, precipitation of secondary phases (Mg2Si particles at grain boundary) occurs leading to improved mechanical properties (aging phenomenon); an excessive exposition to these level of temperature has the opposite effect since precipitates coalesce into larger particles, causing a reduction of the alloy properties (overaging) [8-9].
Such a behaviour is strictly related to the aging phenomenon, which is characterised by the precipitation of intermetallic phases (Mg2Si) at grain boundaries [8-9]; this means that the more slowly the test is performed, the longer the time exposition to high temperature is (and consequently the greater the aging effect).
In order to highlight the effects of the heating and cycle time, in Fig. 6-a the thickness distributions concerning HydroForming tests at the temperature of 200°C, characterised by different values of the heating time (the number which follows the letter H) and the cycle time (the number which follows letter R) have been reported.
Online since: January 2007
Authors: Dinesh Amalnerkar, A.M. Funde, D. Bhange, Sandesh R. Jadkar, S.D. Sathaye, Uttam Mulik, Ranjit R. Hawaldar, V. Ramaswamy
A comparatively high magnification image [Fig.4 (c)] displays embedded smaller grains.
In all the relatively high magnification images, small nanosized (20-50 nm) embedded grains can be located.
Presence of a possible mesophase for anthracene clusters was not observed. 3.5 Optical Spectroscopy The optical spectra for the anthracene thin films with increasing number of dips are displayed in Fig 7 (a), (b), (c) & (d).
The similarity between the spectra implies that the absorption of the anthracene nucleus prevails in all cases, which, is more or less perturbed by matrix environment in the individual case which differs due to disparity in number of dips.
Online since: May 2011
Authors: Li Ping Liu, Xiao Jian Ma, Peng Zhang, Ya Nan Liu
A number of recent works on ESR are devoted to experimental catalytic studies.
FEtOH is the amount of ethanol in the feed or the reaction effluent, and Fi,out is the mole number of different component in products.
In Fig.4(b), except ZnO diffraction peaks, SiO2 diffraction peaks can be seen in the used Ni/ZnO catalyst due to the reason of adding quartz grain into Ni-Cu/ZnO catalyst, and at the same time, weak diffraction peaks of NiO and CuO can be seen on the XRD pattern of the used catalyst, and these mean that weak sintering of Ni or NiO particles and Cu or CuO particles may take place in the reaction process.
Vol. 27(2006), p.57-572.In Chinese [11] Yanan Liu, Liping Liu, Xiaojian Ma: Grain and Oil Processing.
Online since: September 2003
Authors: Cheng Yong Wang, C. Rolf
The number of effective cutting diamond grits and their effective depth of cut depend on the segment position and protrusive height of the diamond grits on it.
It has been found that the number of the effective cutting diamond grits of the segment increase with the increase of the depth of cut.
The AErms of AE signal not only indicated the brittle fracturing process of stone but also gave some information about the properties of different minerals, grain boundary, and pre-existing cracks in grains [3, 21-22].
The load per diamond is also calculated referring to the number of effective cutting edges, which are measured in the tests.
A new method is proposed to calculate the number of effective diamond grits on the surface of segment.
Online since: July 2015
Authors: Xing Yong Gu, Ting Luo, Xiao Qing Wen
The mineral composition and granule feature of Tengri yellow sand as well as the micro-structure and infrared property of the fired body were discussed by the means of various testing such as the grain fineness distribution analysis, the XRD diffraction analysis, the SEM scanning electron microscope analysis, the coefficient of thermal expansion measure and the infrared performance detection.
The formulas marked I, II, III, IV, V mixed large number of the yellow sand ranged from 75wt% to 90wt% with ALPAS clay, ErDaoChuan red clay and yellow mud form the brickyard were prepared in this study.
Online since: June 2016
Authors: Ravinder Kataria, Jatinder Kumar
Fig. 2 Elements of ultrasonic machine (AP-1000) [4] Basic components of ultrasonic machine tool Ultrasonic machine comprises of number of essential elements which are necessary to make the working of machine proper.
Predicted results was shows that MRR will gradually increase, with the increase in size of the abrasive particles for miller’s model and for Shaw’s model, MRR is more in grain hammering model than that in grain throwing model.
The abrasive recommended for the ultrasonic machining of nitride ceramics are boron carbide with grain size of 60-100 µm and silicon carbide with grain size of 80-100 µm.
Oversize also depends upon brittle fracture characteristics and the grain structure of the work material.
The results showed that the diamond grains were dislodged from the tool due to bond fracture.
Online since: July 2023
Authors: Izman Sudin, Jamaliah Idris, Nor Akmal Fadil, Ahmed Alsakkaf, Taoheed Olohunde Sadiq
As presented in Figure 2, sample a revealed spherical inclusions and networks along the grain boundaries.
Figure 3 revealed some dark sections surrounding the grain boundaries, which could be attributed to the etching solution.
The peaks observed at 2θ values of 27.53 and 31.83o were in accordance with that of bulk HAp crystals (Joint Committee on Powder Diffraction Standards (JCPDS) card number: 9-432), confirmed exactly to the previous bone-derived HAp XRD image [39].
Chen, Significantly improved corrosion resistance of heat-treated Mg–Al–Gd alloy containing profuse needle-like precipitates within grains.
Jones, Effects of secondary phase and grain size on the corrosion of biodegradable Mg–Zn–Ca alloys.
Online since: October 2011
Authors: Tzu Wen Sun, Wang Lin Liu, Yu Lieh Wu, Wei Yen Chuang
Marina [4] considered fluid dynamics, and discussed the relationship between different geometric shapes of stirring blade and the fluid dynamic viscosity, revolving speed and Reynolds number.
Table 1 Reactor fluid field simulation-related parameter planning Revolving Speed 300 (rad/sec) Revolving Speed 150 (rad/sec) Case Number of Blades Blade Deflection Angle Case Number of Blades Blade Deflection Angle 1 2 -45 7 2 -45 2 4 -45 8 4 -45 3 2 0 9 2 0 4 4 0 10 4 0 5 2 45 11 2 45 6 4 45 12 4 45 This study used the FLUENT software for simulation analysis.
(1) Number of blade The simulation analysis is conducted on the impact of two or four stirring blades on the stirring flow field of the reactor.
As seen, the number of blades can affect the average velocity of the stirring flow field.
J., “Discrete Element Simulation of Free Flowing Grains in a Four-Bladed Mixer”, AIChE Journal, 2009, 55 (8), 2035–2048
Online since: September 2013
Authors: Valentin Vladut, Nicolae Herisanu, Sorin-Stefan Biris, Sorin Tiberiu Bungescu
Influence of Vibrations on Grain Harvesters Operator Valentin Vlăduţ1,a, Sorin-Ştefan Biriş2,b, Sorin Bungescu3,c, Nicolae Herişanu4,d 1INMA Bucharest, Bd.
Using an energetic estimation of the type: , (1) for each combine type (where n is the number of frequencies from the selected spectrum, and m is the typical weight of a combine operator, 75 daN), for the same type of acceleration and the same type of operating regime, one can obtain a ranking by quality (figs.12-14).
Online since: April 2009
Authors: Li Zhang, Peng Chen, Jian Peng Hu, Fei Pin Yuan, Qing Li, Mi Zhang, Ying Cheng Hu
Laminated veneer lumber (LVL) is an engineered wood product manufactured from veneers that are rotary peeled, dried and laminated together with parallelly oriented grains under heat and pressure with a waterproof adhesive.
To determine the optimum topology of the network, several parameters were adjusted: the number of neuron layers, the number of neurons in each layer, the transfer functions, the learning rule.
The number varied from 4 to 13.
It was found that, the values of MSE kept decreasing and approaching a relatively small number near zero after 7 epochs.
The best MSE value was reached using 7 nodes, and beyond this limit, increasing the number of hidden nodes did not improve the learning performance, but increased the computational effort.
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