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In order to safeguard the sustainable development and safety of our country coal industry, real-time safety factor detection of coal mine is the most important prerequisite.
The sensor element in detecting head is the vital factor in the whole system.
A new carrier catalytic element is selected in the system, which has been greatly improved in the corresponding properties, storage characteristics and long-term stability.
Thus the carrier catalytic sensor element can eliminate zero drift caused by temperature, humidity and other factors
According to the environmental requirements, in the process of collecting the gas concentration data, when system operating, various external factors greatly influence the performance, which changes the authenticity of useful signal and affects the normal operation of system.

Conventional onshore processing equipment which has been qualified and operational will not be able to withstand the variation of flow of these wells due to the differences in the environmental conditions the equipment’s will operate in as stressed by Husy [4] that thermal requirements are also part of the issues affecting subsea equipment capabilities, thereby requiring equipment’s that are performance driven.
Factors that will influence equipment performance are typically the equipment type and the environment the equipment will be deployed in.
This will reveal a thorough evaluation of the structural integrity of the subsea processing equipment, together with the other environmental factors as stressed by Devegowda and Scott [7] that “The main driver for developing new technology for the subsea processing system is not the seawater environment, but the need to increase the reliability”.
The development of the ontology knowledge model is bases on the creation of classes and subclasses (Figure 3), individuals (Figure 4) and their properties.
Marketset, Mapping factors influencing the selection of subsea petroleum production systems: a case study.

Carbon body has several desired properties like stable coefficient of friction (µ), good electromagnetic shielding, low coefficient of thermal expansion (α), high damping capacity and self lubricity [5-6].
Different studies have been done on thermophysical and microstructural aspects of wood carbonizations and its affecting parameters [7-12].
Since any logical system can be fuzzified and a general logical relationship exists between solid carbon density and above carbonization factors, a fuzzy logic (FL) approach would be very efficient and effective for this case.
Artificial neural network (ANN) is the most well-known tool in prediction and classification of complex and multi-dimensional materials properties characterization with its outstanding ability of learning from sets of examples and generalizing the knowledge to new conditions [16].However, above method has many disadvantages that may get the simulation process into trouble; very slow convergence, entrapment in local minimum and of course requirement of large number of data sets are some of ANN problems.
Basically, density change in wood structure with temperature increasing during carbonization in an inert gas atmosphere condition depends on two thermophysical factors which act just in opposite direction with each other: i) Weight loss due to degradation of some wood component while heating and also evaporation of volatile chemicals in wood.

As a result, composite structure with improved mechanical characteristics can be manufactured.
This labor-consuming process results in high fiber volume fraction, void-free, well-consolidated composite structures with excellent mechanical properties.
The major factor that determines the quality of the final product is the compaction force.
The proper heating of the material is one of the key factors when high quality is the goal.
Secondly, maintaining the constant consolidation force during the lamination process is crucial because it greatly affects the mechanical properties of the final product.

As long as the known material properties, loading, local stress, and then select the appropriate fatigue damage model can predict the fatigue life estimation.
This selection of a type six-cylinder car engine crankshaft for the study, the following steps to estimate its fatigue life: (1) by using standard samples and experimental research Crankshaft 48MnV arc spray coating with 3Cr13 mechanical properties and fatigue behavior of fatigue-related parameters obtained and the fatigue life correction factor of remanufacture; (2) Loads, connecting rod crankshaft neck suffered by, are obtained from multi-body dynamics simulation of crankshaft, which are the crankshaft of finite element analysis of force boundary conditions.
Table 4 remanufactured crankshaft fatigue life results after Damage model Uniaxial Multi-axis S-N Normal strain SWT - Bannantine Shear strain Fatemi-Socie life 1.96×1013 2.11×1013 85×1013 1.30×1013 3.62×1012 New Crankshaft Engine Testing Crankshaft cane fatigue test Fig. 5 Process of crankshaft test Crankshaft fatigue test Crankshaft fatigue strength depends not only on manufacturing materials, while also being rough machining processing, heat treatment methods and many other factors.
This can be worked out when the survival rate of 50% safety factor is: (4) Survival rate of 99.9%, the safety factor is: (5) Where K is the standard deviation of correction factor, this test take K = 1.051.
Chinese Journal of Mechanical Engineering,2006,19(2):307-311 [2] Baumel Jr.

In terms of the limitations and deficiencies of process intensification and flotation efficiency at home and abroad, by means of experimental and analytical approaches, the surface properties of scarce coal slime separation process and process intensification were focused on in this paper.
The superficial properties of difficult floatable coal slurry and the existing problems of the traditional reagents in the separating process of difficult floatable coal were analyzed.
The ash content of +1.8 g/cm3 density was up to 65.99%, high ash mixed with cleaned coal would affect the quality of cleaned coal.
Size Analysis Size composition is one of factors which affect the floatability of coal slime.
The XFDⅢ0.75L flotation machine used in experiment is mechanical flotation machine.

If we take the safety factor of 1.5, the maximum allowable stress will be 237MPa.
Material properties was defined as steel, then the modeling is shown in Fig.8.[3] B T Fig.8 ADAMS modeling Kinetic Analysis According to the computational loadings of the catching-mechanism, we defined the related loadings and steps in ADAMS.
Optimization of Mechanical Design[M].Peking: Machinery Industry Press,2005
Senior Mechanical Design Application of ANSYS[M].
[3] Yaodong Gao.50 Mechanical engineering applications of ANSYS[M].Peking:Electronic Industry Press,2011.

Apparently, there are always being lower safety factors and efficiency and higher costs[1].
In the figure 5, system to solve after, the cloud can be seen in the space coordinate system in the Z axis direction the arm up to 3.385mm upper position unit displacement can meet the strength of materials, doesn't affect the normal work of agency.
Conclusion Gait climbing robot belongs to the joint type robot structure, selection of aluminum alloy profile as the main material properties, guarantee the material hardness, reduce overall quality, and facilitate the processing of economic benefits.
The whole album of whole machine mechanical design.Beijing.
Mechanical industry press,In Chinese(2014) [2] Fan Qiinshan, Chen Jianping Editor in chief; Theoretical mechanics Beijing: Higher education press, In Chinese(2010) [3] Robert O.Parmley, Machine Devices and Components Illustrated Sourcebook.

Based on the actual project, Zhang Xiaodong [1] analyzed the process of grout, and he also analyzed and discussed the mechanism of the bearing capacity improved and the pile’s mechanical properties.
Hu Qingli [3] established a pile-soil analysis model, and he studied the properties of the soil, grout pressure and their effects on the pile bearing capacity.
In order to facilitate simulation, ignore some minor factors, make the following assumptions: (1) For the geological environment, the soil is elastic-plastic homogeneous soil, and not water saturated
Therefore there is a range between the growth of axial unit grout pressure and radious, and the range is related to the physical and mchanical properties of soil and compacted concrete.
And this variation depends on the physical and mechanical properties of the soil in the end of the pile.

Introduction Alternating loading, fatigue failure is a common failure mode of mechanical parts.
Early in most cases, the mean fatigue design safety factor analysis method, is about to act on the member's job stress and fatigue properties of the material parameters considered deterministic values ​​etc..
In engineering practice, on the one hand due to the external load component suffered not only change with a change in working conditions will be subject to accidental impact; hand, fatigue / fracture properties of the material are also due to the inhomogeneity of the material organization, internal defects the random distribution and processing some of the factors that have a great chance of dispersion.
During the fatigue strength check, and can use standard or modified linear Miner linear cumulative damage theory, such as: load test method will be spending a lot of manpower, material and financial resources, the time course of a long trial, especially the need to interrupt traffic, affecting the normal production and life and so on.