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Feasibility Research of Intelligent Alloy Composite Sandwich to Control Pavement Cracks Mechanical model and the basic calculation parameters.
In an asymmetric load, the tensile stress of the bottom layer is always negative whether it is before or after laying intelligent alloy composite sandwich, the opening mode stress intensity factor is zero, so the major consideration is changes of shear stress. τ = -1.193MPa when intelligent alloy sandwich unpaved.
Some studies have demonstrated that the stress intensity factor at the top of thermal crack is expansion style one, which size is related to the tensile stress at the top of crack.
As a result, the smoothness and bearing capacity of roads decrease and affect their performances.
Evaluation of Influence of Temperature on Mechanical Property of Glassgrid and Uncertainty [J].

The stability of the microbial system was efficient in stabilizing nitrification. 1 Introduction Biofilm is a living, continuously renewing community of one or several bacterial species attached to biogenous or abiogenous substrates and surrounded by a polymeric matrix, which protects them from damaging effects of the environment and serves as a factor of intercellular communication[1].
The SS concentration in the influent of SCB is very low, which barely allows the startup phase to affect the removal efficiency.
This occurs because the biofilm on the suspended filler is porous and has strong adsorption properties[19].
[6] Hai-Yan Li , Ye-Qiang Tan, Lu Zhang, Bio-filler from waste shellfish shell: Preparation, characterization, and its effect on the mechanical properties on polypropylene composites, Journal of Hazardous Materials 217-218 (2012) 256-262
[7] Mohammad Reza Saeb, Hadi Ramezani-Dakhel, Raha Sarami, Improving Thermo-mechanical Properties of Styrene Butadiene RubberNanocomposites Using Eggshell Bio-filler, 2010 Fourth International Conference on Quantum, Nano and Micro Technologies, 10-13

It is proposed that differences in mechanical behaviour of AA5083 for the strain rate conditions examined can be attributed to differences in the grain growth behaviour.
However, at that stage of the work neither measurements of grain growth nor cavitation, both of which will affect the SP flow characteristics, had been made.
While the beneficial effects of a rapid prestrain are clear, the most important factor is the effect of this on post-formed mechanical properties, and this aspect of the work remains to be investigated.

Had the original mixed signals not been preprocessed, the accuracy and particularity of diagnosis were bound to be affected.
This paper discussed a kind of criterion based on negative entropy and the fast stationary point algorithm (FastICA) . 1.2 Negative entropy criterion and FastICA algorithm The key factor of ICA model is non-Gaussian quality.
Thereby, under the restraint of , objective function is constituted as follows, （5） Where is the scaled factor.
It is obtained with the statistics property of signal and changes with the manipulative object, but comparatively, DFT、DCT and wavelet [9] adopt relatively fixed radix and have no adaptability to different data. 2.2 Field example Someday in September, the 2# tile of one refinery’s exhaust turbine appears major vibration.
Journal of Mechanical Strength, 2002, 24(4), 493-499 [2] Herault J, Jutten C. in: Space or time adaptive signal processing by neural network models.

A change in muscle mechanical stiffness property as induced by whole-body vibration is not supported [1].
Knee extensor MVC torque decreased significantly and to the same extent after WBV (−23 %) and non-WBV (−25 %), while knee flexor, plantar flexor, and dorsiflexor MVC torque was not affected by the treatments.[3] Petit, Pierre-David et al compared the effects of 6-week whole-body vibration (WBV) training programs with different frequency and peak-to-peak displacement settings on knee extensor muscle strength and power.
This effect appears to result from adaptation of neural factors such as motor unit excitability (recruitment and firing frequency, conduction velocity of excitation) in response to sensory receptor stimulation.

Liang 1,d and A.Shimokohbe 2,e 1 School of Mechanical Engineering, Harbin Institute of Technology, China 2 Precision and Intelligence Laboratory, Tokyo Institute of Technology, Japan a lihual@hit.edu.cn, bguoyf@hit.edu.cn, ctachi@pi.titech.ac.jp, dycliang@hit.edu.cn, e shimo@pi.titech.ac.jp Keywords: Nanometer positioning, Friction, Microdynamics, PID controller Abstract.
This property means that the table can move any small displacement due to the spring deformation.
N is the filter factor for the derivative term.
The value of the filter factor is determined by the designer and is 0 3 6 9 12 15 0 0.02 0.04 0.06 Torque [N•m] Displacement [μm] Position 1 Position 2 Position 3 0 50 100 150 200 250 300 0 0.005 0.01 0.015 0.02 0.025 Torque [N•m] Displacement [nm] (a) (b) typically between 8 and 20.
It can be seen that the closed-loop responses are much less affected by friction.

Reducing agent/metal salt/surfactant solution system with different concentration of NaHSO3, LiBr and SDS was added in a four-necked flask, equipped with a mechanical stirrer, thermometer, water condenser and nitrogen inlet.
In addition, mercaptoethanol or mercaptoacetic acid has toxic property and strong irritating smell, which was inconvenient in operation and could not meet environmental protection requirement due to the toxic reaction residue.
By combining above factors, the SDS concentration of 0.02mol / L was selected as the optimal condition.
It can be concluded that the WDR and KER were significantly affected by the pH value.

A Study of Waste-Heat Recovery Unit for Power Transformer Zi-Jie Chien1,a, Hung-Pin Cho2,b, Ching-Song Jwo1,c, Sih-Li Chen2,d and Yi-Lun Lin1,e 1Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, Taipei, 10608 Taiwan 2Department of Mechanical Engineering, National Taiwan University, Taipei, 10617 Taiwan azijie80@gmail.com, bd97522008@ntu.edu.tw, cfrankjwo@ntut.edu.tw, dslchen01@ntu.edu.tw, eu121374@taipower.com.tw Keywords: heat recovery; transformer; refrigeration heating; solar energy; green energy Abstract.
The kinetic property of adsorbent affects the dynamic state of adsorption heat transformer significantly.
The computing equation is given below: (1) where V is the voltage, I is the current, COSΘ is the power factor of transformer load The copper loss increases greatly when the load current of transformer increases, and the temperature of transformer rises significantly.
The transformer capacity is 7.5KVA, the copper loss is reduced by 855.47 W (electrical resistance decreases), the efficiency is increased by 11.25%: (set power factor is 0.9) Full load efficiency＝full load power / [full load power + full load copper loss + iron loss (value is too small to be counted)] η＝(7500×0.9)/(7500×0.9+855.47+0)＝6750/7605.47＝0.8875 The efficiency is increased =(1-0. 8875) ×100%＝11.25% Conclusions The experimental results showed that, when the full load is used as operating load of the waste heat recovery system for transformer, the effects are as follows.

Nanomaterials exhibit highly tunable size- and shape-dependent chemical and physical properties, show unique surface chemistry, thermal and electrical properties, high surface area and large pore volume per mass unit area.
By being able to fabricate and control the size, morphology and surface characteristics of nanoparticles, it could be possible to influence the resulting properties and, ultimately, design materials to give desired properties.
It is obvious that the matrix is affecting the sensitivity of the indicator dye.
Nanomaterials exhibit highly tunable size- and shape-dependent chemical and physical properties, show unique surface chemistry, thermal and electrical properties, high surface area and large pore volume per mass unit area.
Although the zero dimensional materials are applied in sensor design, the factors, such as matrix, indicator and immobilization technique still need to be considered in order to achieve the desired sensor’s characteristics.

Final properties of the LAM product, such as geometrical (accuracy etc.) and mechanical properties (density, strength etc.), are particularly dependent on energy input and heat transfer from the treated layer to surrounding material. [5,6] Thus, ability to control energy input in LAM process is very important for product quality and it is examined also in this study.
The chemical composition and the physical properties of the powder are shown in Table 1.
Chemical composition and physical properties of the powder used in this study.
This phenomenon could be the result of uneven cooling rate or could be caused by unstable behavior of process properties.
When taking all the process advocating factors into account, it might be possible to use pyrometer for monitoring and also for process control.