Search results

The characteristic microstructure and material component sequences with excellent mechanical, electrical and thermodynamic properties were predicted and screened.
Cu-Cr-Sn, Cu-Cr-Zr and Cu-Fe-P copper alloys with high strength and high conductivity have many influencing factors on their properties, such as matrix doping state, type and content of second phase, microstructure and interface characteristics, deformation and heat treatment process, etc [3, 4].
In this paper, the mechanical, electrical and thermodynamic properties of the characteristic microstructure are predicted by using the multi parameter collaborative optimization criterion of the key properties of the matrix and the second phase [5-7].
The mechanical properties, conductivity properties and thermodynamic properties of characteristic microstructure are predicted by using the multi parameter optimization criteria of matrix and second phase key properties (mechanics, electricity, heat, magnetism and dynamics).
Thermodynamic models of crystal structure, mechanical properties, electromigration and diffusion properties, interfacial bonding properties and temperature dependence were established.

To attain weight reductions, components are single complex shapes usually made of titanium alloys and designed with thin webbing and ribbing, while having high structural precision and very specific mechanical properties[2].
However, the isothermal local loading forming process of large-scale complex integral component is a complicated forming process with coupling effects of multi-fields and multi-factors, due to the local loading mode and there exists alternation between loading and unloading, also that among loading zone, unloading zone and transitional region.
The coupled thermal-mechanical tetrahedral element with four nodes is selected to discretize the blank uniformly.
Constant shearing friction model is used to describe friction between the blank and die, frictional factor is 0.3.
The offset force is affected mainly by the structure of compoment, the partition of loading zone and partition position.

Introduction For the injection molding is one of critical process in the field of industry, it possesses high product rate, shorter formation cycle, low waste rate, smooth surface and easy in complicated shape formation; the precise of LED lampshade is very small, factors of insufficient filling during the process, warp and residue stress, all these defects are the cause affecting the formation of LED lampshade.
For the plastic, relation of the variables of physical property and temperature shear rate are dependent.
Fig. 5 shows response diagrams for all control factors of the injection process.
The confirmation test is a repetition of the experiment, optimal control factors is used to obtain the predicted quality characteristics
Factors A, D and F have less influence and is pooled as error. 3.

The new pudding-cup test method has been used to evaluate the delamination stress, where singular stress or stress intensity factors are used to evaluate the delamination strength.
The mechanical properties of the thin layer were tuned by matching the deformation at the layer with these in the leg-shaped structure.
Table 1 shows that we determined the value of the mechanical properties.
And Table 3 shows the value of the mechanical properties.
Table 5 shows the value of the mechanical properties of the interface.

Grinding wheel wear, grinding temperature, and vibration are main factors affecting job quality and machining efficiency.
In grinding process, primary effect factors of grinding force are grinding depth and feed rate, and the grinding depth is variable on CNC tool grinder.
In Fig.4, E, EC and ∆u are grinding force error, error change rate and controlled value, respectively. ke, kec are quantizing factors, while ku is scale factor.
Force response shows that the dynamic properties are good and the force will reach steady state in 1~2 s when grinding depth changes suddenly.
Force response also shows good dynamic properties.

Introduction Irregular products of granite are widely used in these areas such as architectural decoration, living appliance, precision machinery and so on for its beautiful artistic shapes and excellent physical properties, which are mostly machined by segmented diamond contour tools.
Combined effects on machining irregular surface of granite, three processing parameters, namely cutting speed vs, feed rate vw and cutting depth ap are selected to form three orthogonal factors[6].
According to the experimental factors and levels in Table 1, the orthogonal array L9 (33) is assigned according to the orthogonal test design method.
Table 2 gives the primary and secondary factor relations about TWR and GF are all B→C→A So it can be obtained that factor B is the first influencing factor to TWR and GF.
Used the values in Table 2, the tendency charts of various factors affecting the TWR and GF are shown in Fig. 1. 0.1 0.2 0.3 0.4 0.5 0.6 A1 A2 A3 B1 B2 B3 C1 C2 C3 Factor Level Tool Wear Rate[mm/dm 3 ] 200 250 300 350 400 A1 A2 A3 B1 B2 B3 C1 C2 C3 Factor Level Grinding Force Fx[N] 1 (a) TWR tendency chart (b) Fx tendency chart 1200 1400 1600 1800 2000 A1 A2 A3 B1 B2 B3 C1 C2 C3 Factor Level Grinding Force Fy[N] 600 800 1000 1200 1400 1600 1800 2000 A1 A2 A3 B1 B2 B3 C1 C2 C3 Factor Level Grinding Force Fz[N] 1 (c) Fy tendency chart (d) Fz tendency chart Fig. 1 Tendency charts about evaluation indexes Fig. 1 (a) is the trend of TWR that changes with the level of factors, which is reduced with the increase of cutting speed and aggrandized with the increase of feed rate and cutting depth.

Curing regime for the geopolymer are important factors that must be taken into consideration when designing a kaolin-based geopolymer product for a specific application [5, 6].
Kaolin geopolymer needed thermal activation in order to obtain hard structure and good properties.
Chaudhary, Mechanism of geopolymerization and factors influencing its development: A review.
Njopwouo, Effects of calcination temperature of kaolinite clays on the properties of geopolymer cements.
Martinez-Ramirez, Alkali Activation of Metakaolins: Parameters Affecting Mechanical, Structural and Microstructural Properties.

The thermal and mechanical properties of the test material are summarized in Table 2.
Identification of process parameters In general, factors affecting quality objectives in turning are feed-rate, spindle speed, cutting speed, depth of cut, geometrical and mechanical properties of the material, configurations of the machine tool and cutting tool, cutting fluid, rigidity and machine tool stability, etc.
Main effects plots represent the state of influence of the factors on the responses.
In contrast, in several cases the lines show a strong tendency to interbreed while being extended, confirming the existence of significant interactions among the factors affecting cutting forces; therefore these interactions should be taken into account when formulating the corresponding response models.
Fig. 11: Influence of factors of stochastic models on the responses of cutting force component 5.2.

The material and shape of shell are the important factors affecting catalytic converter efficiency and service life.
In addition to these factors, such as catalytic converter design, manufacture and installation method, it associates closely with the engine combustion process and vehicle running condition.
The factors affecting the service life of catalyst are mainly four categories, namely thermal inactivation, chemical poisoning, mechanical damage and catalyst coking.
Generally, lead is added to the gasoline in the form of tetraethyl to increase gasoline antiknock property.
Mechanical damage.

However, stainless steel alloys are difficult-to-machining materials; currently the general tools used to manufacture stainless steel usually fail to meet the requirement, even the tools made by cubic boron nitride or ceramics are unable, due to its own mechanical physical properties far from the requirements.
Therefore any aspect affecting the tool wear will affect the tool life indirectly.
All the factors influencing tool life must be analyzed, so as to determine the relationship effectively among them and obtain a reasonable and optimal tool life as well as good cutting performance.
Given the workpiece, tool material and tool geometry, cutting parameters are the main factors which impact the tool life.
With all these factors considered together, the optimal cutting depth can be obtained by ultrasonic vibration when machining stainless steel alloy.