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The structure and properties of the prepared samples were studied by X-Ray Diffraction (XRD), Energy Dispersive X-Ray Spectroscopy (EDX), Field Emission-Scanning Electron Microscope (FE-SEM) and Ultraviolet-Visible Spectrophotometer (UV-Vis).
Iron (Fe) and Nitrogen (N) are the effective dopants for modification of the optical and photo-electrochemical properties of TiO2 [11,12].
UV-Vis (Shimadzu, UV-1800) in the wavelength of 300-700 nm was used to measure the optical properties of the samples.
Thus, the influencing factors in the photocatalytic degradation of MO are owed to the TiO2 structure, phase and surface area of the catalyst [7].
Hou, Deposited TiO2 thin films by atomic layer deposition (ALD) for optical properties, ARPN J.

Temperature is one of the most important parameters affecting the stability of nanofluids.
Viscosity is the main factor for momentum transfer between fluid layers.
Based on their study, thermal conductivity is strongly dependent on temperature, particle size, volumetric concentration of particles, particle properties and base fluid properties.
The experiments show that the thermophysical properties of the hybrid nanofluids are strongly affected by the concentration of nanoparticles and temperature, especially at sub-zero temperatures. 2.
Sousa, Hybrid nanofluids preparation, thermal properties, heat transfer and friction factor – A review, Renew.

The critical factor of hardware reliability is time, which can be affected by the process of design, manufacture, and service.
Nevertheless, source code is the critical factor of software reliability.
As for embedded software, the fault of the interface between hardware and software is a major factor resulting in failure [2].
Hence, software reliability seriously affects the reliability of the whole system.
When feel pressured for product release time, reliability is always the first property to be compressed

Introduction Over the past few years, the sulfide-containing polymers have a rapid development due to their interesting properties [1-4].
The key factors can be determined just using the minimum number of designed experiments and accordingly, the optimal process parameters can be much conveniently gained.
Based on our preliminary study, effects of three factors (reaction temperature, reaction time and monomer concentration) on the synthesis of PPSOESE were investigated by Box-Behnken design (BBD) [27] in a fixed monomer ratio and DMAc solvent.
Also, Yield response is affected by time • monomer concentration interaction (BC, 5.39%).
The significant factors A, B, AC and BC appear positive effects.

Recent studies by means of α-spectrometry reveal a normal behaviour: activation enthalpies and pre-exponential factors similar to the self-diffusion one and diffusion coefficient values in the same order of magnitude than self-diffusion.
Creation of different types of defects in the crystal structure during irradiation, coarsening of finely dispersed precipitate in heat-resistant alloys, diffusion creep and other interactions are only a few examples of the effect of diffusion on the properties of metals and alloys.
Under these conditions, migration of atoms in the crystal lattice is one of the decisive factors leading to performance degradation.
The particular study of diffusion at infinite dilution, the determination of actual values of diffusion coefficients D at different temperatures and the diffusion parameters Q (activation enthalpy) and D0 (pre-exponential factor), brings fundamental information on properties of the various defects present in those materials.
Both metals are in the same column of the periodic table and share an electronic structure combining unpaired d and s valence electrons and several thermodynamic properties.

[6] Rogl, G., Rogl, P., How nanoparticles can change the figure of merit, ZT, and mechanical properties of skutterudites.
-D., Enhanced thermoelectric properties in CoSb3-xTex alloys prepared by mechanical alloying and spark plasma sintering.
-G., Hu, X., Thermoelectric properties of rare earths filled CoSb3 based nanostructure skutterudite.
[43] Choi, M.K., Ur, S.C., Kwon, J.C., Cho, K.W., Kim, I.H., Lee, Y.G., Ryu, S.L., Mechanical alloying and thermoelectric properties of CoSb3 skutterudite.
-C., Thermoelectric properties of Sn-doped CoSb3 prepared by encapsulated induction melting.

Mechanical properties, e.g., fatigue strength and bendability,of metal sheets, can be improved by the residual stress.
The effects are important for industries because the properties can be improved without adding expensive alloying elements.
The rolls were lubricated by mechanical oil.
It is found that the aspect ratio of the roll bite is a main factor to affect the distribution of the residual stress in low friction.
Kawata, Journal of the Japan Society of Mechanical Engineers, 55 (1952) 720-726

The Study of Dynamic Simulation on Five Axis CNC Machine Yi-Ming Lee1,a, Kuei-Shu Hsu2,b, and Shyue-Bin Chang1,c 1Department of Mechanical and Automation Engineering, Kao Yuan University, Taiwan, ROC. 2Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Taiwan, ROC.
This study offers the possibility of doing error analysis by simulating against the affect of strain/stress as cutting force applied at different angle to the work piece.
Literature Review The operation method factor includes thermal strain, structure stress/strain and etc.
In this approach, the existing parameters of material property can be input in order to make the virtue machine as real as possible.

Introduction Generally, the ablation process is coupled with denudation and air flushing, which severely affects the roughness degree and the outline of the ablator.
Furthermore, the ablation products and denudated particles depart from the aircraft surface and react with the ionizing and dissociating air, which may affect the wake flow and its photoelectric characters.
Furthermore, as a result of the gas flushing and the degradation in mechanical property, the inner cracks grow till part of the material fails, which may be washed away from the specimen; the denudated blocks enter the wake and keep ablating in Fig. 1 (c).
(4) where ch denotes thermochemical mechanism, w denotes wall surface, (),i wP is the surface pressure resulted by i component, (),ˆ i wρ is the surface concentration of i component, ()ch im� is the newly generated mass of i component in a unit volume per unit time, eP is the pressure outside the boundary layer, R is the mole gas constant and wT is the wall temperature, wgM , denotes the mean molecular weight， iE and iK are an activation energy and a frequency factor between C and i component.

Introduction Residual stress is an important factor which affect the processing precision and stability of thin-wall work pieces, residual stress, on the other hand, is directly affected by cutting parameters, in order to reduce residual stress and improve productive efficiency at the same time, it’s necessary to build the residual stress prediction model, and optimize cutting parameters under the bound condition of residual stress, in order to get the highest productive efficiency.
Fig2 Adaptability variation curve under-115MPa Fig3 Adaptability variation curve under -125MPa Conclusions 1.This paper adopt genetic algorithm in regression analysis, built residual stress prediction model and got remarkable regression property.
Mechanical Science and Technology for Aerospace Engineering, In Chinese, 2012, 4: 633~639 [5] Michalewicz Z, Nazhiyath G.