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Influenced by various factors, the content of Powder clay is the most variable and most changeable component in Aeolian sand, especially in the desert edge and peripheral zone where human activities and road network distribution are relatively large: mostly mobile sand dunes, semi-mobile sand dunes and fixed sand dunes alternate with each other. the content of Powder clay in Aeolian sand varies greatly [6-7].
It should be noted that it is relatively difficult to obtain the ＜0.075mm part (sample z) from silty extremely fine sand by sieving, and due to the influence of various factors in the later stage, it cannot be obtained in large quantities. therefore, the "soil reuse" method described in the specification is adopted, i.e. the sample with a certain Powder clay content is tested under the condition of extremely low water content first, then the sample is reused, and water is added to the water content of 1%, 2%, 4%, 7%, 10%, 13%, 16% ...respectively until saturation or super saturation is reached during further tests.
However, when the content of Powder clay is a fixed value, the compaction density is mainly affected by the pseudo cohesion caused by capillary water and the cohesion produced by Powder clay.
Cheng, Granular mechanical analysis of the strength and dilatancy of sands, Eng.
Hu, Study on Aeolian Sand properties of desert subgrade and compaction mechanism, Highway, 6 (2013) 20-24

Various factors such as grading, grain shape, relative density, grain arrangement, draining conditions, stress path, mean effective stress, and anisotropy affect the behavior of sands.
However, soil anisotropy as one of the crucial factors affecting the behavior of sands is a less-known parameter due to a strong relationship between soil anisotropy and inherent characteristics such as soil fabric. soil fabric interrelates with soil anisotropy in the deposition process, where a grain assembly forges a unique structure regarding the environmental properties and inherent characteristics such as grain shape and size.
These admixtures reduce liquefaction potential by improving mechanical properties in order to incease strength and reduce deformability.
Soil Properties and Specimens Preparation Clean Sand.
Physical properties of Firuzkuh sand No. 161.

Research on Ni-P-Carbon-nanotube Electro-brush Plating Composite Coating Technology ZHANG Yufenga, WANG Jianchengb, LIAO Xuebing, LEI Jie Wuhan Mechanical Technology college, Wuhan Hubei 430075, China ashujian59@163.com, b wzxwq@163.com Keywords: Carbon-nanotube, Electro-brush Plating, Composite Material Abstract.
Carbon-nanotube has a good mechanical characteristic.
The PH value of the solution is one of the main factors which affect the coating.
The plating temperature and the PH value of the plating solution are the factors which influence the plating processing.
Microstructure and Properties of Electro-brush Plating Nickel-base Al2O3 Composite Coating.

The influence on blade vibration amplitude have:  the level of aerodynamic and mechanical forces;  the lack of blade modal repeatability;  lack of compressor clocking optimization;  central support varied modal properties;  differences in production coaxial of compressor and turbine rotors;  differences in a level of compressor, shaft and turbine unbalance.
This phenomena describes increase of material nonlinear properties [16];  the occurrence of a blade crack - Fig. 3b), decrease of the range of excitations from the rotational-speed II harmonic by 1000 rpm (fn = 16.6 Hz).
The quality of the rotor balance and resonance properties of the central support also affects the amplitude of the compressor-blades vibration.
It is closely related to the resonant properties of the central support and the 1st stage compressor disc, and the way of frequency-based selection of blades for the blade cascade (of particular susceptibility are engines with blades of fIF = 348 ÷ 355Hz).
Statistical factors reflect effects of the "active control" efforts.

Introduction The effect of stress on impurity solubility is one of the simplest examples of a mechanical effect on the phase diagram of a material system.
It influences mechanical properties such as ductility [1] and crack evolution [2], electronic properties such as carrier density in semiconductors [3], and other phenomena, such as superconductivity [4].
SIMS and Hall effect measurements were used to characterise volume activation and electrical properties within the layer.
The correspondence with the results found in the studies of Bennett et al. and of Sugii et al. suggests that both equilibrium and metastable solubility are similarly affected by strain.
Likewise the large improvement factors for sheet B activation in sSiGe of ~5.4 and ~3.8 compare reasonably well with the theoretically predicted solubility enhancement factor.

Therefore, a large number of factors affect the yard plan, they are not only complex, but also random.
First, determine the allocation of export container yard and property factors.
Interaction between the factors and attributes do also exist.
Table 1 The relationship between factors and attributes of the process of exportation container yard allocation Step 2: Determine the relationship between different factors of exportation container yard allocation, and the factors are same as these in the first step.
Classify the relationship between the various factors, then put them into the following triangular table as Figure 2.

(b) connection between column Ca(I) with column Ca (II) through a cluster of tetrahedral PO4 [5] The physical, chemical, and biological properties of HA are similar to its bone.
Structure polimannuronat, poliguluronat, dan copolimer [6] Three main properties of alginate were soluble water which could increase solution viscosity, formed gel, and formed film and fiber.
Compressive Strength Test Result The mechanical properties of bone graft is one of the parameters in the bone graft to be considered for tissue engineering applications.
Bone graft must have good mechanical properties.
The addition of compaction force on each sample also affect the value of its compressive strength, where the greater value of compaction is done, the greater mechanical strength value of the composite material were produced.

It is expected that the coagulant might be influenced the wet spinnability which is important because it affects strongly the mechanical properties of wet spun filament [5].
Recent reports have indicated that antimicrobial properties of AgNPs are significantly affected by their nanoscale dimensions [14, 15].
Mechanical properties of bio-fibers were measured using a micro 50 (Shirley, England) at a crossbar rate of 10.1 mm/min.
However with changing the spinning condition, the mechanical properties can be improved.
Among the various parameters that can be affected the spinning condition, this study is investigated the effect of coagulant types in mechanical properties of undrawn bio-fibers.

Introduction Monitoring pH level is very crucial factors in scientific research, industrial and agricultural production.
The introduction of GO layer on the partial unclad SMF with an assistance of macrobend structure displayed excellent sensing properties in distinguishing various pH level of targeted samples.
Next, 2.4µL of graphene oxide (Brand: Graphenea; 0.05 wt% concentration, 0.125 g GO content) was coated on the unclad fiber via drop casting method to amplify its sensing properties as illustrated in Fig.1(b).
UV-Vis analysis was performed to characterize the optical properties of GO on the unclad SMF.
Apparently, the presence of GO indicated the changes of power losses which verify its significant role in optimizing the optical properties of the partial unclad SMF.

Introduction Pareto chart was named as first used by Italian economist Vilfredo Pareto in the statistical work of the community property distribution [1].
For each category of data items, the existing Pareto think its weight is the same, so its occupancy and the cumulative occupancy can be directly calculated with Eq.(1) and Eq. (2), however, it must be noted that in many cases identifying "critical" and "non-critical" factors only on frequence and occupancy of defects / problems is unreasonable.
Specific ideas are as follows: (1) Analysis the nonconformity situation of each product, and collect nonconforming degree (quality nonconforming membership) () on each factor of products; (2) Determine the threshold ().
The team found main defects affecting the quality of the welding surface, which are undercut(), overlap(), pits(), incomplete fusion(), incomplete penetration(), slag(), porosity() and crack().Therefore, in order to ensure the welding quality, the lean six sigma team needs to consider how to determine the main defective items that affect the surface welding quality.
As for defects , , , , , the nonconforming membership can be calculated directly by property assessment according to the fuzzy quality standards by the Eq. (3).