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And particle size and distribution both are important factors affecting mechanical properties of the composite.
Introduction With the development of high-tech products on the properties of the materials to pursue higher and higher, the development of new materials and materials optimization improved become an important issue in the field of materials research.
In terms of metal matrix composites, the distribution of reinforcements in the matrix is uniform or not which directly determines the properties of composites.
Mechanical Science and Technology, 2001, 20 (3): 426 - 428
Effect s of magnetic field and disorder on the electronic properties of carbon nanotubes Step han Roche , Riichiro Saito [J] .

The composition of these alloys is often a key factor to control the mechanical, chemical and physical properties of the synthesized alloys.
The construction industry might accommodate broad applications of nanotechnology because of high surface activity and enormous mechanical properties of nanomaterials.
It was found that grain size is a key microstructural factor affecting physical and mechanical properties of the materials [3-4].
Both approaches are suited to produce submicron grain structures with attractive mechanical properties [2].
These metallic particles are characterized by unique physical and mechanical properties.

The compressive strength is the most important properties to be considered to produce a good sample.
Introduction Metallic foams are novel materials with extremely low densities and unique combination of excellent mechanical, thermal, electrical and acoustic properties [1].
It will affect the mechanical properties of the sample and make the value of compressive strength was increase.
ANOVA showed that three sintering factors: composition, heating rate and soaking time affected the final density significantly.
Shubin: Porosity and mechanical properties of porous titanium fabricated by gelcasting, Rare metals, Vol. 27(3) (2008) 282-286

The result obtained in this study showed that tool geometry affected the chip morphology significantly; cutting speed was the most contributive factor in forming saw-tooth chip.
The wheel steel is the material used for train wheel that has excellent comprehensive mechanical property [3], the chemical com position and mechanical properties of wheel steel were showed in Table1 and Table 2.
Table 1 Chemical composition of wheel steel Chemical composition C Si Mn P S Cr Mo Ni V Cu Al Weight content [%] 0.550 0.270 0.730 0.014 0.010 0.210 0.054 0.170 0.091 0.070 0.016 Table 2 Mechanical properties of wheel steel Parameter Value Unit Residual stress Yield strength Tensile strength Coefficient of extension Reduction of cross sectional area Hardness Absorbed-in-fracture energy(20°C) 3.3 685.0 1011.0 16.8 41.9 286.7 40 [mm] [N/mm 2 ] [N/mm 2 ] [%] [%] [HB] [J/cm 2 ] Because of the properties of workhardening and good ductility, the chips produced in turning wheel steel were always continual, snarl and tough, disposing of the chips is a problem that affects the automaticity of machining.
In consideration of the mechanical properties of wheel steel, cutting speed of 78.5 m/min and 188.4 m/min, with a feed rate of 0.2 mm/rev and 0.36 mm/rev, and depth of cut of 0.5 mm and 1 mm were used (Table 4).Chips were collected and photographed for different cutting conditions.
(2) Cutting speed was the most contributive factor in the formation of saw-tooth chips

An Investigation of the Mechanical and Durability Properties of Hollow Concrete Blocks Made with Copper Mine Tailings as a Partial Cement Replacement Ndikumana, Jacquesa*, Kashinga, J.
For this, mechanical and durability properties were considered.
From this, statistical analysis was carried out to determine the factors that affect the compressive strength of blocks.
The factors investigated in this study were the curing age and the cell shape of hollow concrete blocks.
This approach can promote sustainable copper mine tailings (waste) management and the tailings blocks have shown enhanced mechanical and durability properties.

Tensile properties and fracture toughness of coconut spathe fibre for untreated and treated were evaluated.
It showed good improvement on mechanical properties.
Results and Discussion Tensile Properties.
This suggests that the chemical treatment might not affect the fracture toughness as opposed to the tensile properties.
The result indicates the alkaline treatment is harmful while the silane treatments are possibly the alternative treatment in improving mechanical properties on coconut spathe composites.

These composites have better mechanical properties because they combine a polymer matrix with one or more reinforcing fibers or particles.
Reinforced SMPs, known as SMPCs, have better mechanical properties and are suitable for use in various industries.
The p-values of 0.006 for ID and 0.010 for GT indicate that they are statistically significant factors affecting shape recovery time.
The statistical ANOVA analysis and response table identified ID and GT are statistically significant factors affecting shape recovery time, with ID having a greater impact than other factors.
Murty, “Detailed assessment on effect of graphite on mechanical properties of E-Glass/Flax epoxy hybrid polymer composite,” Mater.

The researcher has focused upon considering types of mould materials, because they need efficiency properties.
However, the cause probably resulted from mechanical properties of the plastic mould steels, and created better quality than plastic mould steel AISI-1050, based on the testing completed in such conditions [6,7,9].
Wear Analysis of End Mill From the result of the analysis of the surface quality obtained from the milling process (machining milling) using an end mill of 2 cutting edges (twin flute), it has been found that the factors which affect the quality of the milled surface are speed, feed rate and depth of cut, which were the factors in the study.
Analysis of factors affecting the high-speed side milling of hardened diesteels.
A new multi-view approach to characterize 3D chip morphology and properties in end milling titanium Ti-6Al-4V.

In this paper, the compressive strength of combined aggregate concrete is studied, and the factors affecting the strength: the replacement ratio of lightweight aggregate and the water-cement ratio are discussed, and the formula of combined concrete strength is given.
The influencing factors : the replacement ratio of lightweight aggregate(0, 20%, 40%, 60%, 80%, 100%), water-cement ratio(0.3, 0.35, 0.40, 0.45) is considered.
Coarse aggregate strength is the main factors influencing the strength of concrete.
[3] Cheng zhiqing, Liu baoju, Yangy uanxia, in: Study on Mechanical Properties of Combine Aggregate Concrete, Journal of Flyash Utilization.
[5] The Standard for Test Method of Mechanical properties on ordinary concrete(GB/T50081–2002), China Architecture and Building Press(2002)

Goal is to use available data to build a model that the remaining data on a particular variable (which can be understood as the properties of the database table, the columns) were described.
During the inspection, the object of various theoretical knowledge (mechanical equipment and related factors) on the specific application, has a special form of expression and focus.
The original data and sometimes the conclusions and the specific circumstances must make some amendments to the process of fault diagnosis can be observed the existence of the relevant factors can be controlled with the problem.
The key issue for the application process: network construction and training, according to the number and type of property can determine the appropriate number of network input and output modes, and form a suitable network structure; by pruning or network pruning (Network Pruning) , does not affect the classification error in the premise, get rid of the network nodes and links.
At present, many domestic and foreign scholars attribute reduction algorithm and made a lot of related issues, reduction methods are mainly divided into the following two categories: The method based on attribute importance.The importance of using property as a heuristic search for the minimum reduction is the basic idea: First, get attribute core attribute reduction set as a basis for calculation of properties depending on the importance of the definition, then follow the descending degree of importance of attributes by adding one by one property until the property is a collection of decision attributes on the level of dependence on the original attribute set equal to date, the property set for a reduction.