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As shown in Figure 1 to establish the spray cooling model, in order to facilitate the analysis, the spray cooling model is simplified as follow: Fig.1 The model of jet cooling Fig.2 The affect of water density to heat transfer coefficient The flow of steam in steam film is laminar flow ； The physical properties of steam in film are constant and do not change with the temperature； The steam temperature near the cutting area is same to the high-temperature wall wT ; and the steam temperature in contact with the liquid film is saturated temperature sT .
So we need to build experimental platform such as: Simulation of the materials generating cutting heat continuously in practice cutting, feeding heat to one end of the test sample, cooling the other end of the test sample with different water density in cryogenic pneumatic mist jet cooling, and we should minimize the impact of environmental factors as far as possible , check the changes of the temperature real-timely and transmit it to the Data Acquisition Instrument.
Fig.3 The principle picture of jetting cooling Experiment Condition and Content There are many of the factors to impact the spray cooling effect, in this experiment, we mainly consider the water flow achieving the best cooling effect under the different temperature at the test sample surface (pure water range from 0.0102ml/S to 0.526ml/S, define codes as w1、w2、w3…… w12), the experiment processes under the room time（20℃）, and fix target, air pressure, the temperature of cold air and etc.
It is indicated that when reaching the best cooling effect, the water flow of cryogenic pneumatic mist jet as well as the materials vaporizing and involving phase change heat-transfer under certain temperature must be equivalent, and at that time, the heat transfer coefficient of cryogenic pneumatic mist jet cooling will reach the maximum Acknowledgements This work was supported by the Natural Science Foundation of Jiangsu Province (No. 50845064) References [1] Ren Jialong The Study on Sub-dry Cutting GCr1.Chinese Journal of Mechanical Engineering[J], VOL. 15, No.1, 2002 40-42 [2] Xu Hongjun,Fu Yucan,SunFanghong．A basic study on heat affect mechanism and enhancing heat transfer in Contact Zone in efficient Grinding ．Science in China(Series E)，2002，32（3 ）：297-307 [3] Deb S, Yao S C, analysis on Film Boling Heat Transfer of Impacting Spray [J] .Int J Heat Mass Transfer 1989, 32(11): 2099～2112 [4] MeiGuohui MengHongji WuRongyang Analysis of spray cooling heat

A.C.Jacinto et al.[2] studied water retention curves of MX-80 bentonite of different temperatures and dry density and then used them in the analysis of the thermal-hydraulic-mechanical coupling.
G.F.N.Gitiranar et al.[4] studied impact factors of the equation of soil water characteristic curve of the bentonite.
This is because, soil suction is controlled in the suction vapor equilibrium method, and the total suction is equivalent to the free energy of the water in the soil; for higher suction, the dominate factor of adsorption of soil transited from capillary action into the water retention.
This is mainly because the contact manner between the bentonite particles is changed, in the compacted sample, at this test of lower suction; soil suction is caused by capillary action. the void between the structure in the soil particles affect the soil water characteristic curves; For higher suction, the free energy of soil water can be increased, thus reducing soil adsorption of water, a mixture of different sand mix ratios would lose a large amount of water, then the suction is the main factor of water retention curves.
Soil-Water Characteristic Curve Equation with Independent Properties[J].

Chang and Tien-Hao Shih1,a Department of Computer Science, Chinese Culture University, Taipei, Taiwan 1Department of Mechanical Engineering, Master’s Program of Digital Mechatronics, Chinese Culture University, Taipei, Taiwan teacherchen62@yahoo.com.tw, asp1986@gmail.com Keywords: Circuit simulation; Relaxation-based algorithms; Transmission line; Waveform Relaxation Abstract.
Counter 1716K 645K 16.64 16.88 There exists another concept to enhance WR’s convergence property, which is the Cause-and-consequence Concept that considers the solving of a subcircuit in WR.
A subcircuit solver generates the same waveforms as long as all factors affecting the calculation are the same, including the input waveforms, the calculated time points, fan-out loads, and so on.
The more we fix these “causes” (factors) the more similar the consequences (waveforms) of the solver (and the better of the convergence property).

Introduction Titanium alloys represent an interesting example of engineering alloys whose properties depend upon relatively coarse scales of two phase structures based on its allotropic modifications, α (hcp) and β (bcc) phases.
While the broad contours of structure-property relationships in titanium alloys have been well understood for some time now [1, 2], the existence of additional complexity related to the interaction of microtexture and structure with the nature of plasticity in these materials has begun to emerge in recent years, and significant effects on critical engineering properties such as fatigue have been recognised.
Semiatin , Microstructure, texture, and mechanical properties of electron-beam melted Ti-6Al-4V, Materials Science and Engineering A346 (2003) 178-188. 8.
Kutumba Rao , Microstructure and mechanical properties of friction welds of an a+b titanium alloy, Materials Science and Engineering A289 (2000) 70–82. 25.
Adam L Pilchak, The effect of friction stir processing on the microstructure, mechanical properties and fracture behavior of investment cast Ti-6Al-4V, PhD thesis, The Ohio State University, 2009. 26.

An important factor with regard to this problem is the operating temperature and its effect on functional parameters.
Properties differs so much from mixture of ethylene glycol-water and pure ethylene glycol that heat transfer should be calculated properly.
Thermal and physical properties of the two coolant used in experiment are listed in Table 2.
Conclusion It is concluded that engine working parameters are affected by variable specific heats.
This data are expected because of the resulting increase in the thermal resistance of the coolant side due to its poorer thermal properties.

The chemical composition and physical properties of OPC and GGBS are shown in Table 1.
The key factors of setting time To activate the ground granulated blast-furnace slag (GGBS), many scientists have studied about alkali-activator because of its low hydraulic properties.
To accelerate the setting time of GGBS, alkali-activator is positively necessary andto find out the factors of setting among three different activators, the concentration of hydroxyl ion was kept at ranges of 0.5%, 1.0%, 1.5%, 2.0% and 3.0% by weight of binder.
Yang, Synthesis and mechanical properties of metakaolinite-based geopolymer, Colloids Surf Vol.268 (2005), p. 1-6 [10] F.
Ann, Properties of cement-free concret cast by finely grained nanoslag with the NaOH-based alkali activator, Con Build Mat Vol.35 (2012), p.557-563 [14] K.Y.

An analytical approach is unsuitable for this type of problem, as sheet metal forming presents high non-linearity regarding boundary conditions, geometry and material properties.
Points at a distance between these variables and γ still affect the shape of the function, but under a penalty.
In those cases, the extra data can be considered as noise, and may negatively affect the predictive performance of the metamodel if the algorithms are not capable of handling the presence of noise.
Results and Discussion In this study, the impact of four main factors in the predictive performance is evaluated.
These factors are: the ML algorithm used to train the metamodel; the constitutive parameter for which the prediction is being made; the size of the training set; and the input variables considered in the dataset.

Sorrell1,b 1 School of Materials Science and Engineering University of New South Wales, Sydney, NSW 2052, Australia 2 Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat, Johor, Malaysia a z3139939@student.unsw.edu.au, bc.sorrell@unsw.edu.au Keywords: Tin oxide, tin oxalate, precipitation, X-ray diffraction, morphology, particle size, agglomeration Abstract.
It is well known that synthesis routes and methods affect the physico-chemical properties of precipitated powders.
The small agglomerate size (~0.5 µm) suggests that consistent grinding variations were not a relevant factor.
Kurihara, in: Nanostructured Materials − Processing, Properties and Potential Applications, edited by C.C.

The actuator characteristics are investigated for 1) difference of the material properties and actuator performance. 2) strength of the composite material when changing the thickness and elemental ratio and 3) response speed in the alternative magnetic field.
The composites had two kinds of the volume ratios TiNi : Ni = 7:3 or 3:7 in order to investigate the dependency of mechanical property on magnetostriction.
The mechanical property of each component material is shown in Fig.8.
Internal friction and Damping distance propagate:etemperatur: delay time: 1 111 l T T v vT v vT l lT TCD 　　 　　                 Change of the elastic constant of the material by internal friction & wave dispersion stress:moduls erasticity acousto:ty SAW veloci : 10 　σ 　 σ） （ E E C V CVV  Strain sensor Sensor function Multi-channel simultaneous sensing The The Proposed M Proposed Multiulti--functional SAW functional SAW SSensorensor Fig.10 The principle for measuring multiple environmental variation factors by SAW properties.
Internal friction and Damping distance propagate:etemperatur: delay time: 1 111 l T T v vT v vT l lT TCD 　　 　　                 Change of the elastic constant of the material by internal friction & wave dispersion stress:moduls erasticity acousto:ty SAW veloci : 10 　σ 　 σ） （ E E C V CVV  Strain sensor Sensor function Multi-channel simultaneous sensing The The Proposed M Proposed Multiulti--functional SAW functional SAW SSensorensor Fig.10 The principle for measuring multiple environmental variation factors by SAW properties.

A Synnefa et al [4].produced cold color coatings with MCPCM added in the coatings, and studied the optical properties and thermal properties.
Then Tang Lei et al [9]. studied the effect of different factors on the performance of phase change energy storage type stucco gypsum by orthogonal design method.
The results showed that the content of phase change materials significantly affect the flexural and compressive strength of phase change energy storage type stucco gypsum.
Lee et al [13]. adopted direct immersion method to prepare phase change energy storage concrete, and compared the effect of ordinary concrete and concrete blocks impregnated phase change material on thermal storage properties and flow velocity of exothermic and endothermic.
Zhou shuang-xi et al [14]. tested the properties of paraffin, graphite, silicic acid, lauric acid, stearic acid, sodium thiosulfate and octadecane, paraffin microcapsule and octadecane microcapsule as phase change materials in three types, i.e., the single phase change materials, two kinds of phase change materials mixed directly, and the preparation of microcapsule.