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The important factors examined in this work are the welding pressure, pressure holding time, surface roughness, and temperature.
In this study, such weak bonding by pressure welding is termed as a mechanical bonding.
In this aspect, surface expansion, flow stress as well as surface roughness could be important factors in pressure welding.
The amount of surface expansion, plastic deformation and flow stress depend mainly on bonding pressure as well as the mechanical properties of work pieces.
Although the surface roughness does not affect the bonding behavior with high bonding strength at the high temperature pressure welding, it is important in case of mechanical bonding since the aimed bonding strength is as low as 1MPa .

.,1 aMar1ya_ak1mova@mail.ru Keywords: diamond composite, natural diamond, metallized coating, hard-alloy matrix, sintering, impregnation, diamond retention, operating properties.
Comparative service properties tests of prototype and control samples of diamond dressers confirmed efficiency of the developed hybrid technology for the creation of diamond tools.
The effect of high temperatures on pre-metallized diamond grains reduces the strength of their subsequent retention in the matrix and the physico-mechanical properties of the material, since the renewal of the contact interaction of diamond with the previously formed metallized coating is accompanied by intense graphitization of diamond surface and partial decay of the coating [15,16,18].
It’s obvious that ensuring the strength and preservation of diamond particles during sintering should improve the operational properties of diamond tools.
Romansky, Factors affecting diamond retention in powder metallurgy diamond tools, Archives of metallurgy and materials.55 (2010) 1073–1081

The main structure of gantry machine tools includes a cross beam, a longitudinal beam, a column, a sliding box, a ram, a spindle and other mechanical parts, whose static and dynamic stiffness largely decides the dynamic properties and working properties of machine tools.
Since the nineteen fifties, Soviet Union scholars have firstly studied the structure of machine tools, the stiffness of key components and influencing factors[1].
In recent years, scholars around the world more realized the importance of the dynamic, static characteristics of key components to the whole machine tools, but due to the force of the non-linear and diversity of factors, most of them are based on the experimental study which lack accurate simulation analysis.
For the 5-axis gantry machine tools, because its structure and dynamic characteristics are greatly different from the ones of traditional machines, the existing machine tool’s optimization method and algorithms analysis have been unable to fully meet the research needs.This paper puts forward a new simplification algorithm about variable cross-beam to study stiffness properties and performance prediction of machine tools.
Static analysis of the beam Static analysis is applied to calculate the displacement, stress, strain in mechanical structure under the dead load.

The performance and quality of tennis racket have objectively become important factors restricting tennis players’ performance and competition result [3].
The performance of tennis racket string is affected by the material of string, as well as the processing technology of string.
For some key components with complicated force bearing nature, the mechanical character of material is consequently quite important [8].
Special Features in Technical Design of Tennis Racket String At the moment batting, the mechanical process is very complicated.
References [1] Li Changhua: Properties and Usage of Carbon Fiber.

Such properties may include excellent ductility and strength properties, wear resistance, corrosion resistance, thermal stability, etc.
In a two-component alloy system, solubility can be determined by the Hume-Rothery rule, which states that the lattice structure, atomic size difference, chemical valence, and electron structure of the two constituents are the main influencing factors.
This is related to the size, shape, distribution of the phases and their properties.
Mechanical Alloying.
Lin, Electrical, magnetic and Hall properties of AlxCoCrFeNi high-entropy alloys, J.

Weld geometry size is one of the important factors affecting microstructure and properties of welded joints [2,3,4].
Taking these two factors, AHP will be used to obtain more objective evaluation.
In this paper, the effect of electron beam weld shape on the titanium alloy fatigue properties of welded joints was investigated, and AHP evaluation model was established.
The weight of each factor was determined by hierarchical analysis.
Nail Bell Funnel Wedge Fig.1 Dimensions of mechanical property specimen Fig.2 Photograph of typical weld shapes Results and Analysis Weld Shape Classification.

Effects of Nitriding Processes on the Mechanical Properties of SACM 645 Steel Shu-Hung Yeh 1, a, Liu-Ho Chiu2, b, Heng Chang3, c 1,2, 40, Chung-Shan North Road, 3rd Sec., Chung-Shan District, Taipei City Taiwan 10451, R.
Therefore, various methods, such as ceramic coating and surface treatments, have been devised in order to improve the surface mechanical properties of the components [3].
Among those surface treatment processes, the nitriding methods have been used extensively to enhance the mechanical properties of steel components [3-6].
The aim of this work is to study the effects of two nitriding processes on the properties of the SACM 645 steel.
The factor of the substrate hardness on nitrided SACM 645 steel property is also investigated.

The Process of Dendrites Growth The growth of lithium dendrite is one of the fundamental problems affecting the safety and stability of lithium batteries.
Other similar alkali metals or alkaline earth metals have similar properties.
However, the SEI film composed of inorganic substances lacks good mechanical properties, so it cannot adapt to the volume change during lithium deposition and dissolution. [18] The poor mechanical properties of SEI make metallic lithium inevitably expose new surfaces during cycling, resulting in the gradual consumption of additives, so the improvement of lithium anodes by inorganic additives is quite limited.
Factors Which Limit the Cycle Life of Rechargeable Lithium (Metal) Batteries.
Dendrite Growth of Lithium Metal Anode for Rechargeable Batteries: Theoretical Basis, Influencing Factors and Inhibition Methods.

However, the slide-guide dynamic friction properties were found to vary with external load, speed, and running time, thus affecting motion precision [1].
Such connection joints form weak links between components and greatly affect the overall stiffness and mechanical characteristics of the assembled structure [2].
Besides, the contact stiffness of a sliding surface is the function of interface pressure distribution, which was verified to be an important factor affecting the contact stiffness and the machining performance [5].
Kh represents the Hertz constant and is determined from the contact geometries and material properties of the contact bodies [7,8].
Sliding interface The contact properties of the elastic interface layer such as Turcite-B in the sliding guide system can be modeled by the following exponential relationship [1] (3) where dn is normal deformation (mm), Pn is normal pressure (N/mm2), Cn is coefficient of normal contact flexibility, and m is coefficient of non-linearity of deformations.

And in actual production, these two factors are of the organic combination of each other.
The analysis of influence factors for the end of the converter steelmaking.
For the carbon content and temperature of the molten steel of steel-making end, there many influence factors.
Tab. 1 The analysis of influence factors for steel-making end The properties of the influence factors The name of the influence factors The main influence index Main ingredient resources molten iron of Late converting Carbon content Molten steel temperature Deputy gun monitoring state Process temperature, Process carbon content Auxiliary material resources oxidant Oxygen flow, Oxygen gun position coolant Iron ore, Oxidized scale Slagging agent Dolomite, lime, mixed material Bottom blowing gas Argon gas flow Terminal forecast model for converter steelmaking based on DRNN type neural network.
[7] Fei Liu, Hua Zhang, Xiaohui Chen: Journal of mechanical engineering.