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Table 1 outlines the material properties of the AlMgSi05 alloy specimen.
Table 2 outlines the material properties of the 2024-T3 aluminium alloy.
Fig. 11 Spatially discretized model of the beam In the numerical study constant material properties of low carbon steel and the Von-Mises material model were used.
Table 3 outlines the material properties of the cantilever.
Physical properties of crystals: Their representation by tensors and matrices.

Effect of Finish Rolling Deformation Conditions on Microstructure Refinement of Ultra-deep Drawing Hot Rolled Steel Sheets Xincheng Li 1, a, Zhiping Zhuang 1,b, Weixing Zhu 2,c, Jianhua He 1,d ,Tao Jiang 1,e and Longsheng Yang 3,f 1 School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu, China 2 School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China 3 SG Group, Zhangjiagang, Jiangsu, China a444070923@qq.com, bzhuangzp12@163.com, czhuweixing@126.com, d714779957@qq.com, e894472046@qq.com, f675387407@qq.com Keywords: Finish Rolling, Deformation Conditions, Ultra-deep Drawing Steel, Hot Rolled Steel Sheets, Microstructure Refinement.
Introduction Recently,with the rapid development of Chinese automobile industry and the popularity of the family cars,automobile manufacturing enterprises have an increasing requirements on strengthening and toughening of steel sheets,especially for high-end automotive products.And only a few kinds of steels meet such requirements,such as high-quality ultra-deep drawing steel and high-strength steel, because these steels have excellent combination property and ultra-deep drawing properties which are affected by the fine grain structure.Finish rolling deformation parameters are the main factors to the structure refinement after the confirmation of chemical composition[1,2].
(a)Vol.1 Deformation rate of 5-10-20-20s-1,the grain size of 8.0 (b)Vol.7 Deformation rate of 1-5-10-10s-1,the grain size of 7.5 (c)Vol.8 Deformation rate of 1-1-5-5s-1,the grain size of 7.0 Fig. 3 Microstructure of tested steel sheets with different deformation rate Ultra-deep drawing steel was conducted above industrial test and the results show that deformation conditions of ultra-deep drawing steel hot rolled sheet in finish rolling were significantly affected the refinement of the microstructure such as deformation,deformation temperature, deformation rate.

Transfer market segment grid into design factors based on the Quality Function Deployment (QFD) and analyzing the uncertainty of the MC future development related to the demands.
This has become an extremely highlighted weak part throughout the machine industry, and seriously affects the improvement of China's machinery industry.
MC demand - variable matrix Map the entire customer demands and market segmentation grid to appropriate design factors based on the QFD, and identifying corresponding range for each scaling variable and product constraint and objective among the product family.
The customer demands are as follows: high practicality, product meets the requirements, good mechanical property, low cost, high safety and reliability and so on.
Journal of Mechanical Engeering.2012(11)

Process parameters in aluminium extrusion technology are key points that influence product properties.
In general the extrudate should have uniform mechanical properties through the thickness and along the length with no surface flaws such as tearing, die lines and coarse grains.
A Lagrangian method is adopted for the program, which can thus accurately define the material properties, state variables and boundary conditions.
Sommitsch, "Substructure development of AA6082 during hot deformation", Aluminium Alloys, Their Physical and Mechanical Properties, J.
E, Donati L, Tomesani L, "Effect of Pocket Shape in the Extrusion of Aluminium Profiles", Aluminium Alloys, Their Physical and Mechanical Properties, Hirsch, J, Skrotzki, B, Gottstein, G (eds.) vol. 1, (2008) pp. 1387-1393 [8] F.

To optimize the mechanical properties of alloys it is important to know the response of precipitates to thermomechanical treatments.
The nucleation rate J is expressed as      −=     −      ∆ − = t J t kT G NZJ S C τ τ β exp exp exp * * , (2) where Z is the Zeldovich factor, β* is the atomic attachment rate, NC is the number of potential nucleation sites, ∆G* is the critical nucleation energy, k is the Boltzmann constant, T is the absolute temperature, t is the time and τ is the incubation time.
The phase fraction of the M23C6 and Laves Phase is divided by a factor of ten to get a more concise diagram.
The M6C and MC carbides seem to be only weakly affected by the tempering treatment.

The level of the tower design directly affects the performance of wind turbines.
Foreword There are many factors causing malfunction of the wind turbine.
In the same structural layout, the cabin matters by the centered mass whose property equals to the total mass and inertia moment.
[7] Lu Ping, Qin Huifang: Dynamic Analysis of Wind Turbine Tower on Finite Element Method.Chinese Journal of Mechanical Engineering,(2002),P53-60

The adjustment will affect the reliability and validity of the fire protection system of the existing supermarket.
So when a fire happens, the personnel in the supermarket would not evacuate out, and thus may cause a very serious loss of life and property.
The smoke extraction mode of the supermarket is mechanical smoke extraction, and the smoke extraction volume is 35200 m3/h. 2.2.2 Analysis about fire simulation results Through software simulation, the flue gas temperature, visibility, flue gas heat radiation and other factors in different locations and at different times can be obtained.
The smallest time in which a dangerous state arrives firstly among the factors is chosen the time ASET.
Visibility, temperature and toxicity of smoke are chosen as the judgement factors of safe evacuation

The properties of risocaine were listed in table 1, Tc and Pc was estimated by the Joback modification of Lydersen’s method, ω was estimated by Ednister method.
The parameter a, b for each pure fluid were evaluated from its critical properties and acentric factor as listed in table 1.
However, using Peng–Robinson EOS model to correlate the solubility of organic solid, we should get many fundamental data of physical properties: critical temperature, critical pressure, boiling point, acentric factor and so on.
It may be explained that pressure factor has already been considered in the factor of density when we employ Chrastil model to correlate solubility dates.
Modeling Solubility of Solids in Supercritical Fluids using Fusion Properties.

Tao Department of Mechanical Engineering, Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong, China Keywords: Coolant, In-process Measurement, CFD Abstract.
The effectiveness of the measurement can be affected by several factors including the velocity of coolant, the velocity of transparent fluid, the velocity of workpiece surface, and the gap between workpiece surface and the transparent fluid beam applicator.
Based on the results of the computational investigation, it was found that a clean zone could be successfully established if the four configuration factors are 3m/s, 20m/s, 0.2m/s, and 1mm, respectively.
But the opaque optical property of the coolants would produce an inaccessibility problem for in-process optical measurement of workpiece surface profile [1].
Since the velocity of the workpiece surface is a factor to produce the turbulent in the optical clean zone, it should be reduced during machining such that a better clean zone can be utilized for the in-process measurement.

Parameter study of concrete impact damage model based on DOE analysis Jiangbo Wang1,2, Qingming Zhang1, Chengliang Feng2, Weibing Li 2, Heng Wang2 1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China 2 Chongqing Hongyu Precision Industrial CO., LTD, Chongqing 402760, China Email address: jbwang2007@163.com Keyword: DOE; concrete; material parameter; numerical simulation Abstract: By building up a debugging method about material parameters of concrete impact damage model based on DOE (Design of Experiments) analysis, this paper studies the influence of material parameters of concrete targets on the results of numerical simulation based on quantitative analysis when the impact velocity is 300m/s and 850m/s respectively.
In numerical simulation, the parameter of concrete impact damage model is one of the main factors affecting the calculation accuracy.
is the material density, G is the shear modulus, A is statistic yield criterion, B is the hardening coefficient, n is the strain hardening index, C is the strain rate index, m is the thermal softening index, is the melting temperature, is the room temperature, is specific heat capacity at constant pressure, , , , and are material damage factor, is curve slope coefficient, is the velocity of shock wave, is the particle velocity, is the Gruneisen coefficient, a is first order volume correction for . , G, A, B, n, , and these 8 parameters can be tested through experiments, and they belong to the first group.
Fig.1 Main factor response at velocity 300m/s Fig.2 Main factor response at velocity 850m/s Through analyzing Figure 1 and Figure 2, we get the order from great to little about effect of material parameters on residual velocity.
Reference [1] Watstein D.Effect of Straining Rate on the Compression Strength and Elastic Properties.ACI,Journal Proceeding, 1953, 49(8)