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The depth of cut has more important effect on grinding temperature than cutting speed and feeding speed in three factors of grinding [1].
The metal material with high temperature is affect by extrusion and friction of grinding wheel, which leads to extremely serious flow trace emerged on the surface.
The grinding cracks can be avoided by selecting the optimization parameters such as grinding depth, thus the processing efficiency will be greatly improved and the surface quality of workpiece and the using properties will be guaranteed.
Research on the Grinding Force Based on the Probability Statistics [J].China Mechanical Engineering, 2007, 18(20): 2399-2402
Study on Grinding Temperature and Surface Burn out in High Efficiency Deep Grinding[J], China Mechanical Engineering,2004, 15(22): 2048-2051

Prior to mechanical assessment, the optimum grinding time was determined, namely, where the smaller particle size was generated (PET–420mm and Zn-5mm), that was 3 h.
Recently, it has increased the proportion of metallic charge into polymers to improve their mechanical properties, from just 5% in the early nineties to about 60% in this new century, to produce advanced composite materials with improved properties [6-8].
Concerning the PET (Polyethylene terephthalate) waste bottles, these happen to constitute a truly grave pollution problem affecting water bodies and ground; Ecoce, a Mexican organization that gathers wastes from the main companies that generate PET bottles, has stated that in 2006 their members only recycled 20% of the plastic sent to the market [9].
This clearly follows from the fact that the zinc particle (round shape) size has a maximum of 5 μm, which is much smaller than that of the rPET fragments, which had a maximum of 420 μm and with irregular shapes, a size factor difference of about 80.
However, other properties will be studied and evaluated, and the micrographs reviewed in order to choose the best material between the PEZI1012 and PEZI3012 samples, because so far, both of them appeared to be the best.

Therefore, the surface properties of zirconia with clinical surface finishing are quite important for the wear of enamel opposing it.
In the present study, properties such as surface roughness, glossiness, crystal phase, and low temperature degradation of zirconia were studied.
It suggests that both factors accelerated the low temperature degradation of ZENOSTAR.
Murakami, Properties of dental polishing materials and devices, J.
Lo, Mechanical properties and resistance to hydrothermal aging of ceria- and yttria-doped tetragonal zirconia ceramics, Mater.

Model building.Three-dimensional model were used in numerical calculation, the following factors were considered in meshing the model as follows: i)Mesh size should not be too large, otherwise the high frequency part of the fluctuation pass difficultly; ii) To compare the calculation results with the test results conveniently, try to make the calculation model for grid node correspond to model test of measuring points; ⅲ) Incorporating the computation time and storage space, not only original cavern model but also reinforced cavern was divided into 76,376 three-dimensional entity elements, 83,965 grid nodes.
Deformation modulus(0.4 Gpa)of rock mass firstly needed to be convert as follows Eq. 3: (3) Table 1 Physical and mechanical parameters of the test model material Parameters Unit Numerical density kg/m3 1800 bulk modulus Mpa 2..67×102 shear modulus Mpa 1.6×102 cohesion Mpa 2.0×102 angle of internal friction ° 58 poisson's ratio 0.25 tensile strength Mpa 3.0×102 ii) Bolt parameters.
Anchor’s properties were described by one dimensional structural unit.
In the initial stage of explosion, compressive stress in vault with dark areas was bigger but tensile stress affected in smaller range on arch foot, side walls and both sides of floor were small.
With the passage of time, the range affected by tensile stress in vault gradually expanded, but the range affected by compressive stress in arch foot decreased.

A Research on Optimization of Technological Parameters to the Objective Function of the Deep Dimensions when Forming Sheet Material by HOTSPIF Vo Tuyen1,a, Le Khanh Đien2,b*, Nguyen Thanh Nam2,c, Hoang Duc Lien3,d, Nguyen Tan Ken1,e 1Ho Chi Minh City University of Food Industry (HUFI) 2Faculty of Mechanical Engineering - HCMUT, VNU-HCM 3Viet Nam National University of Agriculture atuyenvo@hufi.edu.vn, b*dien.lekhanh@stu.edu.vn, cthanhnam@hcmut.edu.vn, dhdlien@vnua.edu.vn, enguyentanken@gmail.com, le.trantrung@stu.edu.vn Keywords: HOT SPIF, Sheet forming, Technological parameters, Optimization, Dimension Abstract.
However, sheet materials with high hardness and durability are difficult to deform and shape because of their high properties.
In the present time, studies have focused on most aspects of the processing process such as machine - equipment, forming tools, parameters affecting machining (tool diameter, thickness of sheet, spindle rotation speed, contact conditions, material type ...) [2].
Table 1: The limited value of 4 influential factors Levels D (mm) ∆z(mm) Vxy(mm/min) T (oC) Min 7.5 0.375 1125 510 Max 10.5 0.525 1375 570 Therefore, the number of experiments is 24=16 and with the repetition of 3, the total number of experiments is 48.
In the Response Optimizer dialog box, select the optimal form for the output parameter as depth ΔHmin (Figure 4): Figure 4: Selection of objective function DHmin The Setup section contains satisfaction settings and multivariate optimization factors (Figure 5).

Thermal physical properties of materials.
Thermal properties change as temperature changing, which will greatly affect the results, so the accuracy of the thermal physical parameters is very important.
The thermal physical properties of 27SiMn steel and Ni60 alloy powder [2] are shown in Table 1.
From the simulation results we know that the mechanical combination of cladding layer and the matrix change into metallurgical combination, a good metallurgical combination of metallurgical state.
Among them, the main factors causing the error are the value of the absorption rate, the temperature change of the environment and the specimen and the determination of the thermal parameters in the cladding layer, which will be the future issue to research and explore.

Apart from these, the influence of other RSW parameters such as welding time, electrode material and shape, pre and post-treatment of material, etc. are also highlighted which affects the metallurgical, physical, and mechanical properties of weld joint [5].
However, to effectively create a portable RSW machine, several factors need to be taken into account.
Influence of welding parameter on mechanical properties and microstructural features of resistance spot welded dual phase steel sheets joint.
Weldability and mechanical properties of similar and dissimilar resistance spot welds of three-layer advanced high strength steels.
Investigation of Mechanical Properties of Galvanized Automotive Sheets Joined by Resistance Spot Welding.

Many factors, like temperature, strain rate or strain paths can affect considerably the material formability.
The Marciniak and Kuczynski model (known as the M-K model) is a widely used analytical tool but its initial geometrical imperfection factor is uncertain.
Moreover, the calibrating step of the initial geometrical imperfection factor which is essential for M-K models is unnecessary.
Fig. 1: Optimized cruciform shape Due to the symmetrical properties of the specimen, only one-quarter is considered in the finite element model (Fig. 2).
A difference exists between the three predictions and the type of non linearity affects the critical zone where the value of the major strain is minimum.

For the complex components, often use the MNF neutral files or macros generated method. 1) With Stretching method, at first we need to determine the tensile axis, and then define section radius, cell size and material properties etc.
After definite the grid material properties, the thickness of the shell element and calculation of modal number we can import the flexible body.
Define the material properties of components.
For the reliability study of picking manipulator fetching model, main influencing factors are tomatoes center of mass for the location of the finger which effect on the distribution of fingers section of flexible body force that affects normal fetching.
From figure 3d, 3e, 3f, we can see that, due to factors such as the shape of the tomato and mass center position, the tomato was fixed in the longitudinal only contact with finger 1 and 2 but has no contraction with finger 3.

Preparation and Property of Al87Ce3Ni8.5Mn1.5 Nanophase Amorphous Composites Hongwei Zhanga, Lili Zhang, Fengrui Zhai, Jiajin Tian and Canbang Zhang Department of physics, Honghe Unversity, Mengzi 661100, China a zhhw7272@126.com Keywords: Rapid solidification; Al87Ce3Ni8.5Mn1.5 amorphous alloy Abstract.
The higher mechanical strength of Al87Ce3Ni8.5Mn1.5 nanophase amorphous composites has been obtained with two methods.
Introduction Al based polymer-nanoparticle amorphous composite materials with its excellent mechanical properties become one of the research focuses in the field of materials [1-4], such alloys belong to Al-TM-RE (TM = transition metal, RE = rare earth element) department.
With annealing temperature increases, the microhardness of alloy increases. in addition to the high hardness of the a-Al supersaturated solid solution ,there are also some other factors that affect the hardness, such as a-Al grain size, volume fraction, the solute concentration degree [3] of surplus amorphous matrix and so on .