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Its chemical composition and mechanical properties are shown in table 1.
Table 1 chemical composition and mechanical properties of AZ31B sheet Mainly composition[%] Mechanical properties Al Mn Zn Si Be Tensile strength [MPa] Yield shrength [MPa] Elongation [%] Hv[0.5kg] 3.19 0.334 0.81 0.02 0.01 300 220 18 75±5.0 During the research process，two types of specimens were introduced.
Experiment results and analysis: determination of influencing factors During the drawing process of AZ31B sheet, there are a lot of influencing factors, which include the drawing force, blanking force, die radius, clearance, speed, temperature, etc., and all these factors are interacted with each other.
In this paper, some minor influencing factors were chosen as definite values according to some previous testing processes, only the major influencing factors were discussed.
Ebert, Magnesium properties-application-potential, Master.

The ideal semisolid slurry with homogeneous spherical and fine primary crystals could be obtained by optimizing rod insertion temperature, rotation speed and its diameter, which is a key factor in semi-solid forming.
The thicker components produced by the process exhibits better mechanical properties than those by conventional casting[3,4].
It can be seen that the time interval from rod insertion start to insertion end affected the distribution of the primary spherical crystals.
He, Effects of the casting temperature on microstructure and mechanical properties of the squeeze cast Al-Zn-Mg-Cu alloy, Journal of Alloys and Compounds. 504 (2010) 42-45
Syarif, The effects of Mg addition on the microstructure and mechanical properties of thixoformed Al-5%Si-Cu alloys, Journal of Alloys and Compounds. 621 (2015) 121-130

The results showed that by applying optimized cooling pattern and low coiling temperatures, high-strength steel sheets with outstanding mechanical properties and good flatness can be produced.
Results and Discussion Mechanical properties.
Fig. 2: Effect of coiling temperature on mechanical properties of steel BC Fig. 3: Effect of coiling temperature on mechanical properties of steel BF Impact toughness.
In the course of the plant trials, a whole range of factors influencing the flatness of hot rolled and directly quenched strips was found and investigated.
By optimum application of water on both sides of the strip, a best combination of desired mechanical properties and best flatness can be achieved [7].

Substantial differences - mainly in plasticity - were found based on statistical analysis of hot rolled bars mechanical properties.
Material's grain size and its in homogeneity is the parameter particularly strongly affecting the value of energy of breaking as well as the nature of steel transition into brittle state.
Statistical analysis of mechanical properties for 465 random selected smooth bars made of S355 steel, 24÷60 mm in diameter, produced between January 2004 and May 2007, is presented in figure 1.
Bar charts of mechanical properties of 465 analysed products: a) Re, b) Rm, c) A5, d) Kv 2.
The optimal continuous cooling rate for finished products amounts to approximately 6,7°C/s, - The change of hypoeutectoid ferrite morphology into an idiomorphic form, obtained using bars cooling at the rate of approximately 6,7°C/s is the factor, which has a decisive influence on mechanical properties and in particular on plastic properties of S355 steel bars.

The results show that both steels have similar martensite due to high hardenability of B element which is responsible for high mechanical properties.
Martensite size in B-bearing steel was refined by Nb element for high fatigue property and toughness.
It shows that both steels have similar martensite due to high hardenability of B element which was responsible for high mechanical properties.
The effect of such precipitates is more dominant on fatigue property and toughness than other mechanical properties of B-containing steels.
The most important factors affecting the mechanical properties of B-bearing steel was the number of precipitate.

In CMP process, material is removed by synergistic action of mechanical wear and chemical reaction, and it is a very complex process that affected by many factors related to the polishing pad, the slurry, the wafer carrier structure and processing parameters.
Material removal rate (MRR) distribution is a major concern in CMP processing, and amount of research focused on finding the dominant factors that affect the MRR distribution and the effective method to improve the uniformity of MRR.
MRR in CMP process is dominated by mechanical wear and chemical corrosion, and these two factors affected by the physical properties and geometric parameters of polishing pad, wafer, and carrier.
To clarify this problem and to build effective model to predict the WIWNU, more factors need to be considered in the simulation.
However, it is still very difficult to develop a simulation model of CMP involving all the factors simultaneously.

Then it has made sensitivity analysis of affecting ground deformation factor by neural network hierarchical analytical approach.
Because there are many factors affecting underground construction ground deformation, and the factors often are combined action.
But it can not roundly reflect the real deformation in the factors combined action.
In view of this, the main goal of the paper is to utilize the current most popular one of artificial intelligence method, artificial neural network principle to forecast multiple factors, which would affect underground engineering construction ground deformation.
Soil physical mechanical property, like modulus of compression, void ratio, moisture content, cohesive force and internal friction angle are all important influence factor for sedimentation, especially for long time concretion and secondary consolidation concretion.

Asim et al. [2] reported that PALF shows superiority in terms of its mechanical properties over other plant-based fibers.
Based on Table 2, only the interaction (p-value = 0.001) between the two factors has a significant effect on the mechanical response.
Only the interaction between the two factors significantly affects the tensile strength perpendicular to the surface.
Only the interaction between the two factors significantly affects the flexural strength.
Results showed that not all mechanical properties of the composites could be improved simultaneously.

Mechanical stress and thermal stress distribution on the steel armour of vessel will affect its lifetime.
There are swell gaps between the refractory bricks which may affect the stress distribution during the preheating and transportation.
Characteristic values of thermo-physical properties and mechanics properties used in this model are presented in Table 1 and Table 2 [4,5,6].
Table 1 Thermo-physical properties of the materials in torpedo cars model Material Thermal conductivity [W.m-1℃-1] Specific heat [J.kg-1.℃-1] Linear expansion coefficient[10-6℃-1] 16Mn 48 480 11.3~13 ZG275-485H 48 480 11.3~13 Insulating board 0.2 72.4 -2.8 45%Al2O3 insulating bricks 1.006 969 11.8 Fireclay bricks 1.4 837 5.2 Permanent lining castable 1.1 750 5.6 ASC bricks 1.6 800 3.695 Steel fiber enhanced castable 1.1 750 5.2 Table 2 Mechanics properties of the materials in torpedo cars model Material Density [kg.m-3] Elastic modulus [Mpa] Poisson’s ratio 16Mn 7850 2.1e5 0.3 ZG275-485H 7800 2.06e5 0.3 Insulating board 1300 3975 0.15 45%Al2O3 insulating bricks 2100 7563 0.15 Fireclay bricks 2070 7500 0.15 Permanent lining castable 1400 2426 0.15 ASC bricks 2900 3.75e4 0.15 Steel fiber enhanced castable 2400 3200 0.15 Loading and Constraint The temperature curve during preheating process is shown in Fig. 3.
Fig. 5 Time-Temperature curve Fig. 6 Temperature field Influence factors on thermal stress The temperature field is introduced to the model to analyze the thermo-mechanical coupling stress.

It was found that the cooling rate can affect the mechanical characteristics of the steel.
Introduction The mechanical properties of metallic materials are affected by their microstructure such as the grain size.
Regarding the effect of heat treatments on mechanical properties, a study was developed by Mamoun et al [11], to investigate the effect of heat treatment on the mechanical properties of chrome - coated XC100 steel.
The factors involved in the grain refining process are: alloying elements that can form fine precipitates.
Ramesh Kumarb, Evolution of microstructure and mechanical properties of D2 tool steel during.