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The mechanical structure of the whole device is well designed realizing material circulation conveying.
Since the material property in this checking are the same as the reality material, the material checking is only reliable method in the four kind of checking.
There are two significant factors to affect calibration accuracy.
Through analysis we know that the main affect uncertainty error source include:1.the performance of small hopper weigher as control weighing instrument;2.
In order to reduce the influence of these factors on the calibration system, we should install some carrying rollers at the bottom of discharging inlet of the small hopper weigher .

Sathya Sai Nathan4,e 1Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu, India 2Department of Mechanical Engineering, College of Engineering, Kallooppara, Kerala, India 3 Cell for Industrial Safety and Risk Analysis, Central Leather Research Institute, Adyar, Chennai, Tamilnadu, India 4 Department of Mechanical Engineering, K.Ramakrishnan College of Engineering, Tiruchirappalli, Tamilnadu, India aspshivam@nitt.edu, btrichy_rajan@yahoo.co.in, cjosekaniyampady@gmail.com, dclrimsn@gmail.com, esathyanarayanan853355@gmail.com.
Among the process parameters, peak current and pulse duration was found to strongly affect the emission and performance aspects.
The properties of the workpiece materials are shown in the Table 1.
Properties of the workpiece materials Properties Mild Steel Tool Steel Aluminium Melting point (ºC) 1523 1421 660 Boiling Point (ºC) 3300 3134 2467 Thermal conductivity (W/m-ºK) 51.9 76.2 227 Specific heat capacity (J/g- ºC) 0.472 0.461 0.9 Measurement of output parameters They are mainly four output parameters to be analyzed in this process like, Aerosol Emission Rate (AE), Material Removal Rate (MRR), Tool Wear Rate (TWR) and Relative Emission Rate (RER).
Peak current is the main factor governing the process energy of the EDM process.

The use of neural network analysis made it possible to obtain a neural model capable of predicting the corrosion properties of steels depending on their chemical composition and concentration of impurities.
It should be noted that the trained ANN makes it possible to expand the range of predicted values of factors beyond the limits of experimental data.
Erokhin: Fusion welding basics (M.: Mechanical Engineering, 1973)
Mazel: Technological properties of the electric welding arc (M.: Mechanical Engineering, 1969)
Pridantsev: Influence of impurities and rare earth elements on the properties of alloys (M.: Metallurgy, 1962)

Mechanical interactions of stress and transformation have been paid due attention by Denis et al [1, 2].
The present author suggests that carbon depletion in austenite under stress may increase g∆ and enhance the transformation, and the increment of diffusivity of carbon as well as the decrease of interfacial energy under stress may be the other factors to raise the nucleation rate and reduce the incubation period of bainitic transformation.
The origin of the mechanical stabilization of austenite in bainite formation is inanalogous to that in martensitic transformation [14].
Stress also enhances the kinetics of martensitic transformation and affects the crystallography and morphology of martensite.
The microstructure and properties of martensite are controlled by the composition of steel, level of applied stress and thermal conditions.

Introduction Aluminum is widely used for the mechanical parts due to its properties, such as the light weight, and the rust resistance.
The response surface method with the Box-Behnken design is applied for an empirical study of the cutting process, where the cutting parameters affect the surface quality.
In case of ball-end milling process, the cutting conditions may affect the cutting temperature.
Figure 3 Contour plot of cutting force between the air blow pressure and the tool diameter The feed rate and the air blow pressure are the most significant factor on the cutting force.
The experimentally obtained model clearly shows that the air blow pressure and the tool diameter are the most significant factors on the surface roughness.

The fuel management in the components of a fusion reactor is influenced by the isotope effects in the diffusive transport properties of the gas within each material.
The type of microstructure (fcc or bcc) and the existence of lattice defects inducing the mechanism of H trapping have been identified as key factors influencing the isotopic relations.
The surface of the specimens was treated to eliminate any impurity that might affect the penetration of H into the bulk of the material.
They rejected the classical rate theory based on overbarrier jumping diffusion mechanism and proposed a modified version with a quantum-mechanical modification.
Moreover, it will be confronted below the difficulty to explain the particular behaviour of the lattice and, consequently, the inconvenience to introduce more factors of uncertainty reminiscent of the trapping phenomena.

This study presents a detailed analysis of the catastrophic failure of a Pelton turbine bucket, revealing a complex mechanism involving multiple interacting factors.
This finding underscores the critical importance of considering the synergistic interaction of multiple factors in the structural integrity of Pelton turbines.
Likewise, the accurate characterization of the mechanical properties of the materials used in the manufacture of Pelton turbines, including their fatigue resistance under different loading conditions and the influence of microdefects, is essential to improve the accuracy of service life predictions [24].
This standard yields the critical stress intensity factor (KIC​), a fundamental material property.
Paggi, “A unified interpretation of the power laws in fatigue and the analytical correlations between cyclic properties of engineering materials,” Int.

According to Yang and Liu [2] even though titanium alloy is difficult to machine due to its low thermal conductivity and high chemical reactivity properties, manufacturers still opt for it for its superior properties.
Workpiece Material Constitutive Equations Hooke’s Law describe the elastic properties of materials.
Mechanical and thermal properties are required for both workpiece and cutting tool.
The reason titanium alloys are harder to machine is due to its inherent properties.
High temperature is the main factor of causing tool wear rapidly.

Factors that may cause wrinkling in deep drawn parts are summarised as follows: l Blank holder force.
Preliminary experimental results in the multi-pass ISF process showed that the process variables affecting wrinkling behaviour are similar to those in deep drawing, as summarised as follows: l Blank holder force.
The aims of this study are first to clarify how the process variables affect the wrinkling deformation in multi-pass ISF process and then to analyse the wrinkling formation mechanism.
Blank holder force also affects the lateral hoop stress, which further leads to wall wrinkling and tearing.
Meehan, Experimental investigation of mechanical properties, formability and force measurement for AA7075-O aluminium alloy sheets formed by incremental forming, Int.

Various factors account for the irregular width ,such as nonuniform motion and irregular cutting of the weldment edge.
Welding beading not only affects the welding line beauty,but also always covers the slag inclusion and lacking of penetration which may lead to flaw.
And it distribute in different layers which will decrease the mechanical property of the welding joint.
And it will decrease the mechanical property of the welding joint.
[5] Yanhong Zhang, Mechanical and Electrical Product Development and Innovation, 2 (2003), p. 27-29.