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Vt—extraction function Access to properties of other characteristics and deepen the feature representation; in order to improve the matching performance.
In order to improve the accuracy of the assembly cost estimation, in the early stages of product design, we should extract the main parameters that affecting product function and structure, and adopt Euclidean distance and gray fuzzy clustering combined algorithm to estimate product assembly cost.
Decision support module which combines a variety of factors, help supporting staff to make the best decisions and output design results[2].
By means of a variety of DFX tools, the work is focused on product development that make designers consider various factors downstream in early development.
The speed and accuracy of assembly cost directly affects on product cost estimation and design quality and cycle.

Abstract Aluminum, steel, and cast iron pistons all function in the automotive market, each possessing specific properties.
The fatigue properties of the material after phosphating are most significantly influenced by factors such as temperature, duration, and the amount of accelerator used [4, 19].
The thickness of the phosphated layer is a critical parameter influencing its tribological properties.
The thickness of the phosphated layer is a critical parameter influencing its tribological properties.
Analysis of the physical-mechanical properties of the zinc phosphate layer deposited on a nodular cast iron substrate.

Institute of Mechanical Engineering, Taizhou Vocational and Technical College, Zhejiang Taizhou, 318000, China 2.
Although there are some mathematical model for describing the relation between fatigue damage and material properties the models lack accuracy.
The population greatly affects the final performance and efficiency of GA, selecting from 30 to 160 according complicated degree of problems.
Code and decode.Every individual in the population is composed of a string of certain sorted genes and different length of string and coding methods greatly affect the solving accuracy and convergence time.
Table.1 The chemical constitution and material properties of modulated Chinese No. 45 steel Chemical constitution（％） C 0.49 Si 0.215 Mn 0.64 P 0.018 S 0.022 Parameters of Mechanical properties [Gpa] 162.2 [Mpa] 668.4 [Mpa] 803.3 (％) 21.60 (％) 65.09 Parameters of fatigue properties （Mpa） （MPa） 2069.3 -0.1608 1.7456 -0.6939 1624.73 0.2092 Table.2 Predicted result by GA-BP, tested result and calculated result by Coffin-mason method results Group No. of sample Class of strain（％） Tested life（Cycle） Predicted life (cycle) Life calculated by Coffin－Manson method Relative error BP-GA Coffin－Manson 1 1.65 738 710 623 0.03794 0.155827 2 1.28 868 960 984 0.10599 0.13364 3 1.07 1289 1243 1385 0.035687 0.07448 4 0.91 1765 1799 1907 0.01926 0.08045 5 0.78 2541 2491 2612 0.019677 0.02794 6 0.58 5286 5408 5027 0.02308 0.048997 Example for multiaxial fatigue.The material used for multiaxial fatigue test is normalized Chinese No. 45 steel

They measured the thermal properties and analyzed the key factors affecting the properties of this latent functionally thermal fluid.Eunsoo C et al. [2] studied the forced convection heat transfer characteristics of turbulent flow in a pipe and proposed a three region melting model to analyze the mechanism by which phase change material particles can strengthen the heat transfer coefficient of turbulent flow.Royon and Guiffant [3] described a model to study heat transfer in a circular tube forslurry with millimeter PCM particles.
Numerical results and discussion There are mainly 2aspects that would affect the heat transfer and heat storage performance using MPCMS as the heat storage media, which are the concentration of MPCMSand the vertical space between the tubes.
In Fig. 4c, the area which the convection can affect and the temperature changes is larger than that in Fig. 4b.
The vertical space is another important factor that influence the natural convective heat transfer, and the effect of non-dimensional vertical space of y* (y*=y/R) of 1.5, 3 and 5 were numerically studied by using 10wt% MPCMS as the heat storage media.
American Society of Mechanical Engineers, 2013: V001T15A001-V001T15A001

Introduction Bulk metallic glasses (BMGs) exhibit high mechanical strength, high hardness, good fracture toughness and superior corrosion resistance[1-3], which make them suitable for various structural applications.
As a result of the crystallization, the unique physical and chemical properties will change.
However, the nanophases formed in the crystallization process are affected by many factors, such as the alloy composition, heating rate and temperature etc..
The factors affecting the crystallization behavior were investigated in detail.

In most spillages, farmlands are lost, aquatic and wildlife is affected, and people are in many cases displaced from their homes.
Disasters affect millions of people, degrading human security and hampering the achievement of sustainable development [1].
Early warning information will assist in the evacuation and safety of lives and properties.
The ability to pinpoint the scene of disaster with greater accuracy and follow the appropriate route has meant better response time and consequently save lives and properties.
The study has shown the potential level of environmental degradation when an oil spill occurs in an environment not properly maintained; the human and environmental factors at play in Jesse in the Niger Delta of Nigeria where oil industry is located; the immense role of scientists and geoinformation technology in post impact assessment of oil spillage.

Process parameters optimization with 4 5 levels orthogonal design method factors, the selected four factors are: the temperature, pressure and time and speed craft.
Orthogonal experiment with green pot process parameters for example, its test factors level see table 1.
Table 1 Pot filming process parameter optimization experiment factors level table Level temperature (℃) pressure (N) time (min) speed (N/min) 1 240 15 1.5 20 2 265 25 2 30 3 280 35 2.5 40 4 295 45 3 50 5 310 55 3.5 60 Test the technological process is: fresh leaves——booth put——green pot shot (pot 1) ——article daniel (pot 2) ——hui pot fai dry (pot 3) ——finished products.
The mechanical properties and tea performance evaluation Fry tea quality from it, according to the table 2 data analysis shows that the this paper developed automatic multiple flat tea tea craft machine, the color and shape of the manual craft level surpassing both color and taste are all up to the requirements of the manual craft, only aroma is insufficient, should be further improved.
From the mechanical properties, for automatic multi-function flat tea of small craft machine: 1600 ×780 ×970 (), light quality: 90 kg, processing, little energy consumption: 5.5 kw/h.

The sheet metal use DC01 material, mechanical properties of material is shown in table 1.
The orthogonal experiment design method has the following two properties: 1.
Fig.1 Automobile reinforced plate Fig.2 Finite element model (a) punch (b) binder (c) blank (d) die Table 1 Main property parameter of DC01 Material Yield strength (MPa) Tensile strength (MPa) Hardening index n Anisotropy coefficient r Elongation (%) DC01 210 270～410 0.22 1.23 ≥28 Orthogonal experiment factors for stamping velocity (factors A), blank holder force (factors B), friction coefficient (factors C), and mold clearance (factors D).
Range represents the size of the influence factors in the orthogonal test table.
Among them the influence factors of blank-holder force is the largest.

The optimization of the processing parameter is a method which influence the electrical conductivity and mechanical properties of the CPC.
Hence, these cause the mechanical properties of the material to decrease and in agreement with others research findings [24], [26], [27].
Low, Effect of fabric orientation on mechanical properties of cotton fabric reinforced geopolymer composites, Mater.
Bijwe, Influence of orientation of long fibers in carbon fiber–polyetherimide composites on mechanical and tribological properties, Wear. 267(2009) 5–8: 839–845
Sombatsompop, Processing technique and fiber orientation angle affecting the mechanical properties of E-glass fiber reinforced wood/PVC composites, J.

The physical properties of the material of tool electrodes, such as melting point, thermal and electrical conductivity, magnetic properties, homogeneity [13, 14] and the like, significantly influence this parameter.
The following Table 1 summarizes the basic physical properties of selected materials used for tool electrodes in EDM machining.
The following Table 2 shows the overview of basic physical properties of graphite R8500, which was used for manufacturing the tool electrodes of Type No. 1 and No. 2.
Pandová, Progressive technology diagnostic and factors affecting to machinability, Applied Mechanics and Materials 616 (2014) 183-190
Mižáková, Analysis of heat-affected zone depth of sample surface at electrical discharge machining with brass wire electrode, Strojarstvo: Journal for Theory and Application in Mechanical Engineering 51/6 (2009) 633-640