Search results

All material properties required for the simulation are summarized in Table 1.
The software also allows for the complete design of wedges and probes; however, it is advisable to read the available probes from the library to specify the exact dimensions and properties.
Simplification options of modelling should be applied without affecting the relevant parameters.
The only limitation of this type of POD curve generation is that it does not take into account the impact of organizational and human factors.
However, it should be noted that this only applies to the performance of the testing technique and does not address the impact of human and organizational factors.

But the effective parameter in the formula refers to the structure of unsaturated soil, stress history, saturation, nature of the problem (the deformation problem or strength problem) and other factors, so it is difficult to determine the parameter values
The properties of different types of unsaturated soil are quite different.
Saix C [16] (2000) introduced the coupling of thermo-mechanical for consolidation of unsaturated clayey silt.
He investigated the coupling by analyzing the influence of temperature to mechanical, verified the influence by thermo-consolidation test and mechanical-consolidation test.
(1) How to investigate the coupling problems with other factors.

For example, Li et al. improved the mechanical properties of Fe-Mn-Cr-Ti dual phase steel by combining various strengthening mechanisms, namely, phase transformation, precipitation, and grain refinement strengthening [5].
Furthermore, to study the mechanical properties of Cu-Ti microalloyed DP steel, another experiment (process B) was performed in the Gleeble 1500 thermal-mechanical simulator.
Vickers Hardness and Mechanical Property.
The factors determining the strengthening of microalloyed DP steel are mainly the ferrite grain size, volume fraction of martensite, and precipitation strengthening [18].
Mechanical properties of Cu-Ti microalloyed DP steel after different tempering treatment conditions (Process B).

Introduction Tube and tube processing parts are widely applied to aerospace, automobile manufacturing, petrochemical and other fields due to their excellent mechanical properties, diverse structural functions and lightweight requirements[1,2].
Da-xin E et al. [11] studied the influence of mechanical properties and bending angle on the springback of the tube after bending and unloading through experiments and numerical simulation.
The material properties of the tube in the finite element model include the physical property parameters and the yield stress-plastic strain (true stress-strain) curve.
Fig. 2 3D FE model of tube bending Fig. 3 True stress-strain curves of TA18 tube Table 1 Physical properties parameters of material material Density[kg·m3] elasticity modulus[Mpa] poisson ratio TA18 4490 109.8×105 0.31 Taking both accuracy and efficiency into consideration, the model uses a symmetrical half-tube model, double-precision computation and a mass scaling factor of 1000.
"Coupling effects of material properties and the bending angle on the springback angle of a titanium alloy tube during numerically controlled bending." 

There are several factors that affect the wear-life of SPB, such as load, frequency of oscillation, amplitude of oscillation, physical dimension, materials, manufacturing quality, working environment and lubrication.
The factors that affected the wear-life of SPB were all obtained by life test instead of mechanism analysis, and it could not satisfy the demand of calculating the wear-life accurately and reliability research for SPB.
m, τ are the surface pressure and sliding velocity exponential factors to wear rate.
It depended on the load and mechanical property of the materials of the ACSPB, and can be got through contact mechanics method [8].
H is the limiting wear intensity; P is the load (radial load Pr or axial load Pa); n is the oscillation velocity (unit: rad/s). 2) The models in this paper had considered most of the factors contributed to the wear-life of SPB, including configuration parameters(R, θ1, θ2, α0), working parameters(P, n), material and working condition factors (K) and the function requirement (H).

The third method is finite element method, which is widely used in the mechanical analysis.
Their main modifications to the exiting charactering boundary conditions are that the additional transverse terms are introduced in order to treat the computational domain’s edges and corners, as well as a set of compatibility conditions for boundaries joining regions associated to different flow properties, as inlet/outlet and wall/outlet boundaries.
Because we concentrate on the jet development in the near field region, the turbulent properties should reach to a self-similar state more quickly.
The data has been averaged over approximately 120 convective flow scales, which is defined as tc = 2Lx/(U1+U2), based on the mechanism of jet development in order to obtain more smooth profiles for turbulent properties, and it has taken a long time and large space for treating the data.
This can be explained that the grid size for each process is the most important factor in affecting the speedup factor, but the communication time and idle time play an little part in the parallel computing for speedup factor.

The precision, mechanical property and utilization of material of the spun tube are superior to those of conventional machining process.
But it is hard to determine the proper spinning parameters because of its complex and so many affecting factors [1].
The defects like metal piling and diametral growth and affecting factors were investigated.

The adjusted R2 of this model is 59.5%, which explains about 60% of the variation of EP[Mn] (%) affected by EP[C] (%), EPT and T.Fe (%).
It can be noted that 40% of unexplained variation caused by uncontrollable factors is beyond the scope of this study
However, to keep the free-cutting properties and the continuous casting rate, the usage of [Al] or ferrosilicon must be limited to a reasonable amount.
The factors settings are shown in Table 3.
Table 3 Experiments of the blowing and refining factors for the sulfur free-cutting steels Process Factors Factor Code Levels Blowing Manganese ore (WMnO) A 2 T.Fe B 2 EPT C 2 EP[C] D 2 Refining f[O] in liquid steel A 2 [Si] in ladle furnace (LFSi) B 2 Aluminum (LFAl) C 2 Table 4 New setting standards No Process and Parameter Specification limit 1 Set the refining process #A5 process (BOF-RH-LF-C.C.) 2 Set the refining parameters HM Ratio: 90%±5; Lime (CaO): 2100Kg±30; Slag volume 4500Kg±20; EP[C]: 11pts±3; WMnO: 2500Kg±20; EPT: 16750C±10; T.Fe: 17.5%±3; f[O]: 70ppm±5; LF Aluminum usage (LFAl): 110Kg±10; LF[Si]: 4pts±2. 3 Set the temperature and composition control methods of the BOF and the refining station Controlling the EPT range within ±100C, and composition range within ±3pts at each BOF and the refining station.

There is no significant difference in the composition and properties of the opoka-like raw materials and tripolis.
Tests of the properties of the opoka-like rocks as a basis for the products of wall ceramics have shown that the best way for them is the compression molding method [5,6].
This fact worsens the physical and mechanical properties of products, even in the absence of obvious defects [10].
The main factors affecting the quality of compacts are the molding moisture (for each type of opoka is different) and the pressing pressure.
Bratskii, Material structure and ceramic properties of a clay opoks, Engineering Bulletin of don. 4 (2014) 47–59

Medical devices that are made from stainless steel have good biocompatible properties, but polymer coatings can radically improve it.
The adhesive properties of different layers were compared.
Coatings and especially the polymer coatings can improve some surface properties such as biocompatibility [2].
Sheets were surface-treated to improve and set to the proper value their surface properties.
After etching sheets were electropolished in order to improve surface properties and to reduce roughness.