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The remaining porosity will affect the sintered density of the whole body (Fig. 5).
Feltin, Tailored Fiber Placement – Mechanical Properties and Applications, Journal of Reinforced Plastics and Composites, Vol.17 No. 9 (1998) pp 774-786 [5] M.
Shen, The fabrication and properties of short carbon fiber reinforced copper matrix composites, Journal of Composite Materials, 45 (24) (2011) pp 2567-2571 [10] S.T.
Gelachov, Carbon-fibre/Titanium silicide interphase/Titanium-matrix composites: fabrication, structure and mechanical properties, Composites Science and Technology, 55 (1995) pp 255-260 [11] S.J.
Zhang, Interface characteristics and mechanical properties of carbon fibre reinforced copper composites, Journal of Materials Science, 26 (1991) pp 5762-5766 [12] T.

Several parameters that affected conjugations of the IONPs-Ab were studied namely iron oxide concentration, antibody volume, stabilizer concentration and the amount of SiPEG coating.
These biomedical applications rely on the advantages of IONPs that have low toxicity and the possibility to exploit the outstanding magnetic properties.
This approach also has an advantage of activation specificity by applying external magnetic properties to the diagnostic kit.
The factors that affect the conjugation of the IONPs-Ab also were studied such as iron oxide concentration, antibody volume, stabilizer concentration and the amount of SiPEG coating.
Several parameters that affect the IONPs-Ab conjugated were studied to obtain the optimum condition for conjugation (Table 1).

Dickinson et al.[6], in specific, observe the relationship between the dynamic electrical factors and the formation of the weld nugget based upon the pattern changes of the dynamic resistance.
In addition, researchers continue to examine the weld quality using the above dynamic factors[7,8].
In addition, a new input vector through comparison between remembered clusters and input pattern is distinguished, and the stability and plasticity problem is solved using a reset mechanism to learn without affecting the existing cluster.
Table 1 below showed the chemistry composition and mechanical property of TRIP.
Chemical composition and mechanical property of TRIP chemical composition mechanical property C Si Mn P yield strength [kg/mm2] tension strength [kg/mm2] Elongation [%] 0.08 1.00 1.47 0.008 40.0 60.5 33.7 Resistance spot welding machine using single-phase, 60-Hz alternating current with a pneumatic cylinder attached was used.

Conditions of Simulation and Experiment The material used in investigation was a CuZn37 alloy with a sheet thickness of 0.20mm, whose mechanical properties are presented in Table 1.
Mechanical properties of metal sheets Young modulus [MPa] Yield strength [MPa] Poisson ratio - Anisotropy coefficients Total elongation [%] 00 450 900 115000 24.55 0.3 0.725 0.848 0.888 36 Table 2.
Mechanical and deformability properties of the CuZn37 alloy The parameters of the mini drawn parts, tools, blank and deep drawing process, used in simulation and experimental tests, were as follows: part diameter (D), part edge radius (rep), tool clearance (c), punch edge radius (rp), punch diameter (Dp), die diameter (Dd), blank diameter (Db), initial foil thickness (t0), drawing depth (d), blank holder force (BHF) and friction coefficient (µ).
Optimal working parameters obtained by applying the GAs friction coefficient blank holder force [N] ring 1 ring 2 ring 1 ring 2 x(1) x(2) x(3) x(4) Dp=2.00[mm] 0.125 0.110 15 20 Dp=20.00[mm] 0.110 0.100 100 65 The geometric parameters of the mini drawn part defects generated by different factors of influence resulted by using the optimal values of the working parameters obtained from Genetic Algorithms application are presented in Table 8.
The part quality is significantly affected by the flow of metal into the die cavity, an excessive flow conducting to part wrinkling.

The simulation results indicated that the method proposed in this paper can make the high-power induction motor start fast and smoothly with both high-torque and low starting current, and it has a better starting performance than traditional starting methods and the advantage of not affecting power quality.
As a result, the voltage drops a lot, and the motor starts with great difficulties, which reduces the power quality and affects the normal operation of other electrical equipment in the same grid.
In this method, it tracks and compensates the reactive power of the motor, in order to decrease the reactive power deficiency (or decrease the line’s reactive current), the power and voltage loss, to improve power factor and voltage quality.
(a) (b) (c) (d) (e) Fig.7 Simulation waveforms for 160kW induction motor with DVC full-voltage starting Table 1 Comparisons of starting performance for Different starting methods Starting Properties Starting Methods Direct starting Soft starting DVC full-voltage starting bus voltage (V) 337 205 380 bus voltage (pu) 0.84 0.51 0.95 starting transient current (Amps) 2000 1200 540 starting transient current (pu) 7.4 4.4 1.99 Phase angle(degrees) 77 82 10 Power factor 0.225 0.139 0.985 Reactive power(kVar) 1140 760 50 starting Time(s) 0.6 5.8 0.46 From Table I, due to the large starting current and large voltage drop, it is not suitable for high-power asynchronous motor to direct start.
Low power factor affects the power quality of the local distribution grid.

An increase in the loads transferred by a harmonic drive also raises the values of the forces affecting the teeth of its toothed rim.
The physical model not only entails the physical properties of the material the tooth is made of, but also the manner in which it is both loaded and supported.
The last of the factors mentioned are ultimately decisive for the correct formulation of the boundary task that is to be solved by means of BEM.
The material properties assumed for the calculations have been provided in Table 1.
Pancielejko, Structure, mechanical properties and corrosion resistance of nanocomposite coatings deposited by PVD technology onto the X6CrNiMoTi17-12-2 and X40CrMoV5-1 steel substrates, Journal of Materials Science 45 (2010) 1629-1637

In all polymeric materials, water is required as a mobile phase to facilitate the transport of protons, but the water uptake also affects the mechanical properties of the membrane, acting as a plasticizer, reducing the Tg value and membrane elastic modulus.
Films based on cellulose acetate are known due to their very good mechanical properties: high tensile and impact strength, resistance to alkali, oil and solvent action alongside bio-inertia, bio-compatibility, bio-degradability and non-toxic character.
The absence of structural selectivity as well as reactive functionality confers these materials versatility of constructiveness, being able to modify mechanical, chemical and ionic transport properties by compounding with other polymers and / or quaternary ammonium salts.
If theirs mechanical and thermal properties can be improved by structural/ structuring modification, the conductivity can be increased by in-situ doping [21-23].
Because the structure / composition ratio is one of the factors that determine the conductivity value, structural characterization has been performed through X-ray diffraction spectroscopy.

The properties of the produced nanoparticles indicate their high potential of in biophotonics.
In this paper we study structural properties of laser-ablated Si-NPs produced from silicon nanowires (Si-NWs) arrays targets fabricated by metal-assisted chemical etching (MACE) [10].
Analysis of Structural Properties.
Structural properties of Si-NWs were studied using a Carl Zeiss Supra 40 scanning electron microscope (SEM) and a ND-MDT SolverPRO scanning probe microscope.
We assume that several factors may affect this difference: (i) a lower thermal conductivity of Si-NW matrix as compared to bulk silicon, (ii) partial destruction of Si – Si bonds in the crystal lattice as a result of MACE, (iii) dependence on the buffer medium for ablation, (iv) difference between LD Si-NWs and HD Si-NWs.

Available literatures [11,15–17] indicate that the mechanical properties and failure behavior of composite joints are dependent on a number of factors, e.g. material, geometry, configuration, processing and service loading.
Table 1 lists the mechanical properties with respect to the principal directions.
Table 1 Mechanical properties of a weave lamina with respect to its principal directions.
The material properties listed in Table 1 are adopted in the 3D FE simulation.
Parameters di ([0,1], i=1, 2,⋯,6) are defined as follows: d1=1-D1, d2=1-D2, d3=1-D3, d4=1-D4, d5=1-D5, d6=1-D6, where damage factors Di are the degradation degree of the material properties (i.e.

The turbulent flow in the near-wall region affects the wall heat transfer dominantly.
Theory of boundary layer shows that the wall heat transfer is affected by turbulent flow in the near-wall region dominantly [5-6].
(10) The value of the factor cD is of different opinions between 0.055 and 0.09.
The physical performance of air is specified according to the thermal physical properties table [10].
Conclusions Some conclusions can be obtained from the work in this paper: (1)The convective heat transfer is affected by the flow in near-wall region dominantly in turbulent flow, so the local turbulent parameters in near-wall region are the key factor for turbulent convective heat transfer