Search results

For such set of data the plane model (plane strain state assumption is used, which corresponds to the cross section of tube with the infinite length) of the symmetric quadrant of the cross section of the rectangle is proposed and the optimal value of is searched using the approach described in the last two sentences of the previous section.
On the base of the geometrical data and the results obtained for 2D model the 3D finite element model was created, which is shown in Fig. 3b and Fig. 3c.
Further, rather small reduction of the stress concentration was observed (Fig. 5b and Fig. 5c).
Further reduction of the stress concentration was observed.

The recorded thermal data provided insights into the materials' thermal behavior and properties.
Fig.4 displays DSC thermograms of vPET, rPET blends with varying chain extender concentrations, and the corresponding data are summarized in Table 1.
This can be attributed to the molecular weight reduction caused by chain scission during recycling process.
The crosslinking induced by the chain extender disrupted the regular packing of polymer chains within the crystalline regions, resulting in a reduction in crystallinity.

Introduction Cutting fluids have an important role in machining process as they contribute to friction reduction at the tool-workpiece contact, to chips removal from the tool rake face, temperature decrease in the contact zone, and chemical species diffusion limitation between tool and chip [1, 2].
The tool damage is mainly caused by the formation of an adhesion layer and a built-up edge (BUE) entailing a reduction of the tool life [3].
The main parameters which affect the simulation results are the friction coefficient μ and the material data.
There is a good correlation between simulated cutting forces, shear band frequency and experimental data when using the TANH model [5].

It is clear that there is two stage in the reduction of resistivity with temperature.
The final reduction to zero resistivity is not clear or week.
XRD results show that the resulting material is identical to that found in global data derived from International Diffraction Center data.

Considering the reduction methodology based on König theorem [12], it can be written the kinetic energy of the system and kinetic energy of reduction element as: (2) (3) where mj and Ij represent the mass and the moment of inertia of the element j, ωj is the angular velocity of j element, vGj is the linear velocity of the associated point of the centre of mass of j element and Jred is the reduced mass moment of inertia.
Assembly configuration of the robotic system, masses and inertia characteristics of the elements from the structure, internal and external forces and initial conditions for positions and velocities of each element represent the input data.
The output data are the movement characteristics of the elements and the reaction forces from the mechanical system.

The feature of FDM used for calculation the thermal field consists in the fact that the reduction of spatial-temporal grid leads to increased forecast accuracy, therefore in most cases the accepted spatial intervals, in the simulation of the thermal field by this method are per some degrees of magnitude less than the thickness of the entire mold layer.
However, at the initial stage of heating of the mold layer in the temperature interval (Тev – Т/) the buildup of heat absorption by the layer of a mixture takes place and it bears an extreme character, which is reduced in connection with the reduction of moisture in the layer of the mixture (Fig. 2).
The data of the research [24] are used as initial values: the temperature of the aluminum plate filling Tfil =707 оС, the temperature interval of crystallization 669-674оС, the initial temperature Т0 =273 °C, the heat capacity of the aluminum Сме = 880J/kgK, the wall thickness of the casting δ1= 0.015 m, the wall thickness of the mold δ2 = 0.2 m, the thermal conductivity of the casting λ1 = 250W/mK, the thermal conductivity of the form λ2 = 0.9 W/mK, the density of the casting r1 = 2700kg/m3, the density of the casting r2 = 1600kg/m3, the initial moisture content U0 = 4.7 percent.
Comparison of calculated and experimental data shows satisfactory convergence.

Based on FEM, important information such as behaviour of sheet metal, thickness distribution, and behaviour during loading and after loading can be obtained more accurately by providing ed the details of die geometry, friction conditions and absolute data of material properties.
Liu, Springback Reduction in U-channel: Double Bend Technique.
A Simple Model of Shape Errors in Forming and its Application to the Reduction of Springback.
[23] Material Data Sheet of Dual Phase Steel (2005)

Temperatures were recorded through a multi-channel data acquisition system (National Instrument, TX, USA) [3].
The zirconia group had the 1 Data obtained from CeramTec, Germany lowest polyethylene wear and the highest head temperature for each testing condition (Figure 1).
Consequently, the precipitated proteins acted as an enhanced lubrication that protected the liner and resulted wear reduction in the zirconia group [3].
Similarly, wear reduction occurred in all three groups when circulating coolant at high temperature (45 °C) due to the extra heat-induced protein precipitation.

The performance of the model has been verified by data obtained from a 1850 mm CVC cold rolling mill.
The entry thickness of incoming material is 5.4 mm, exit thickness is 1.96 mm, width is 1246 mm and total reduction is 63.7%.
Table 4 5-pass rolling schedule of 6-high CVC rolling mill No. of pass Entry Thickness (mm) Exit Thickness (mm) Bending of WR (KN) Bending of IMR (KN) Shifting of IMR (mm) Entry Tension (KN) Exit Tension (KN) Reduction Of Pass (%) 1 5.400 4.085 696.1 1267.8 -112.8 242.6 546.5 24.344 2 4.085 3.111 641.6 1169.9 -134.1 546.5 475.7 23.832 3 3.111 2.458 547.8 1171.8 -137.3 475.7 422.7 21.013 4 2.458 2.048 401.2 1159.5 118.75 422.7 404.5 16.657 5 2.048 1.966 2.8 78.2 -142.5 404.5 107.0 2.368 4.1.
The comparison between the simulated results and measured data is shown in Fig. 5.It can be seen that the average absolute error across the transection of the strip between the simulated and measured values is less than 10 µm, and average relative error is less than 1%. 4.3 Control capability of strip profile (quartic and quadratic crown) Fig. 6 show the schematic trans-sectional profile of strip.

According to the relevant data and field survey, the general golf is about 126800 m2 in Jinghua gypsum mine.
According to survey data, take =24 KN/m3; =1; =27.6Mpa; =40～119m.
Relevant research results show that the strength of saturated gypsum mine will be greatly reduced, softening coefficient is about 0.8, strength reduction factor due to the rheological is 0.66, thus the average long-term safety factor range is from 0.7 to 2.1, the minimum safety factor is 0.4.
Relevant research results show that the strength of saturated gypsum mine will be greatly reduced, softening coefficient is about 0.8, strength reduction factor due to the rheological is 0.66, thus the average long-term safety factor range is from 1.1 to 1.3, the minimum safety factor is 1.0.