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These changes in the aspect ratio and redistribution of the intermetallics improved the mechanical properties such as hardness of the products.
Finally, the hardness of samples was measured with Brinell hardness test to study the mechanical properties.
The size, distribution and aspect ratio of iron and manganese-rich intermetallic compounds are important factors to determine the mechanical properties of the alloy [10].
Brinell hardness test has been carried out to study the mechanical properties of samples.
Thus, the mechanical properties of samples are considerably increased using cooling slope plus thixoforming.

It is possibly related to the change in mechanical properties of specimens while the geometrical size is gradually miniaturizing.
Modeling of dry friction in micro metal forming process Because of considering both the effects of surface roughness and mechanical properties of material on the friction behavior, Wahime/Bay friction model has been widely accepted and it is often utilized to analyze the friction behavior of plastic deformation at low normal pressures [7].
（1） where the value of friction factor mc can range from 0 to 1.
The amount of reduction is one of the influence factors on the friction behavior in forming process.
Therefore, it could be considered that the friction behavior is scarcely affected by the specimen size.

The effects of pressure on the wear resistance characteristics, mechanical properties and the microstructures of Al–Si piston alloys that have variable Magnesium (Mg) content are studied [12].
Tensile and impact tests were conducted to evaluate the influence of the interaction between grain refiner and modifier on the mechanical properties.
Variance ANOVA was used to estimate the optimum level and determine the magnitude of the influence of various factors. 
The evolution of microstructure can affect the hardness properties of metal alloys, and it can be due to the difference of phase morphology [18].
Conclusion In conclusion, the chemical compositions and mechanical properties of four different types of recycled aluminum are discussed.

Corrected Computing Method of the Axial Mechanical Force in Transformer Windings 4.1 Influence Factors on the Axial Mechanical Force in Transformer Windings 1.
In addition, because of the influence of the thickness of insulation paper and the elastic coefficient of gaskets on the axial mechanical force Ft, another correction factors are introduced, and.
is adopted by the gasket material property.
In the correction formula, some factors are taken into account, including the correction factor on average radius , the correction factor of paper thickness and the elastic coefficient of gasket .
Two factors that affect the capacity of transformer short-circuit fault.

The mechanical behavior of these microstructures cannot be predicted without knowledge of the key material property such as the Young's modulus.
Owing to its thickness scaled from nanometer to micrometer, the material properties of the silicon films may differ from its corresponding bulk silicon structure [1].
The piezoceramic excitation is a contact method that isn't suitable to the fragile micromechanical thin films, and the electrostatic excitation needs the metal coating on the micromechanical film as the electrode that affect the accuracy of the property evaluation.
Fig.4 Resonant frequency vs L-2 of the microcantilever Measurement Error Analysis From Eq. (9), we know that there are two factors affecting the measurement accuracy.
Shi: Mechanical Vibration System (Huazhong University of Technology Press, China 1992)

Control of product properties as an application of the 3D Servo Press An approach to increase process flexibility is to adapt processes and process factors to fluctuating properties of semi-finished parts.
Two approaches were developed to control product properties.
This includes measuring properties of the input material (Figure 11, dashed line left) and deriving influence factors on the process based on experience and process comprehension.
The open-loop processor used for this purpose consists of a knowledge-based mathematical model which anticipates the relation between measured input properties and process factors and subsequently determines the influence value for the forming process to compensate the fluctuation in the input property.
Based on this classification a summary of uncertainties affecting production processes is possible.

The kinetic indentation of materials in order to determine their mechanical properties was introduced by S.I.
The 40 factors values are received for, and .
Using the double «cave-in » method, we have: , (26) where ; (27) where , are factors [13]; .
The introduced parameter has good informativity because it describes the material hardening in a wide range of the mechanical properties values and, consequently, can be used for engineering calculations of hardening materials elastoplastic deformation.
Influence of penetration depth and mechanical properties on contact radius determination for spherical indentation.

This paper analyzed the force situation of the conveyer by the discrete dynamics model, divided n viscoelastic properties mass units in advance, then built system analysis dynamics model by vibration mechanics, built modal neutral file of the flexible belt block by means of finite element analysis software, and built the virtual prototype model of the belt conveyor using ADMAS program.
Due to the viscous elasticity properties of conveyor belt, the performance of mechanical properties is non-linear in the course of conveyor running, and analyses the belt conveyors' stress by the discrete dynamic model, and establishes the dynamic models of belt conveyor.
The dynamic tension of belt conveyor is generally reached its peak in the start-up phase, so it has the important meaning to study the rule of dynamic tension change and the influence factors of starting process.
the dynamic tension of the boot process, and does not affect the tension of the conveyor in the normal operation.
The conveyor capacity is one of the main factors to determine the drive power of belt conveyor, when the conveyer's conveyor capacity is different, its dynamic characteristic is also different.

Optimum mechanical properties are achieved by using correct processing parameters and chemistry of the material.
Introduction The developments in the field of heat treating high-strength materials in automotive industry lead to adoption of new technologies which allow mechanical properties to be improved at reduced manufacturing costs.
Mechanical properties of the processed material were tested using miniature tensile specimens.
The results show that important factors include not just the QT, which affects both mechanical properties and the RA volume fraction, but also the rate of cooling from the austenitizing temperature.
The study revealed the large potential of the application of Q&P processing to a steel with cost-effective chemistry, most notably in terms of mechanical properties.

Identifying the influencing factors, however, was known to be difficult due to the complex interaction between yarns, in which multiple factors were often studied in a coupled manner and cannot be isolated.
Comparison between energy absorption capacity and mechanical properties of different woven fabrics, damage mechanisms, and influencing factors remains an area yet to be explored.
Material models of aramid yarns (Kevlar® 29) were constructed using mechanical properties obtained through experiments.
Transversely isotropic elastic mechanical properties were used to simulate the anisotropic response of the yarns.
The mechanical properties of yarn include a density of 1230 kg/m3 and a failure strain at 3.5%.