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In ordinary fuzzy control, linear quantitative method is usually adopted by changing the quantitative factors to change the discussing domains.
Definition of quantification factors is: (1) As shown in fig.2 (a), once the quantitative factors have been selected, any value of language variables can be counted as a certain element on the domain.
Results and analysis of experiments Change the fusion width to obtaine the welding current and welding properties.
Journal of mechanical engineering, (2000.8) [2] ChenDan, zhang bees, HeGuiMing.
Fuzzy control principle and application of mechanical industry. (2005).1 press

Being a non-mechanical metal removal process, ECM is capable of machining any electrically conductive materials with high stock removal rates regardless of their mechanical properties, such as hardness, elasticity and brittleness[1-3].
Effects of Electrolyte Flow Filed The numerical solution discussed above only considers the factor of electric filed within ECM gap domain.
The machining experiments of ECM have proved that electrolyte flow can result in the change of electrolyte conductivityκ.The most important influencing factors affecting on κare electrolyte bubble rate and temperature rise.
The change of κcan affect the boundary condition (5), which is applied to calculate 1b .
So we call this numerical solution involves the two factors of electric field and electrolyte flow filed in ECM process synchronously.

Dimensional analysis was utilized to identify the scaling variables affecting the stresses.
Introduction For technological application, depositing protective coatings onto the surface of a load-bearing substrate has been widely used to enhance certain mechanical properties [1].
The objective of this paper is to find what and how parameters affect interfacial stresses and thus possible coating debonding.
The tempered LQZs will experience phase transformation and hence result in volumetric shrinkage, the degree of which depends on many factors, for example, carbon content, temperature, etc.
Guo, Practical Handbook of Thermophysical Properties, Chinese Agricultural Press, Beijing (1986) (in Chinese).

Variable Momentum Factor: We introduce a variable momentum factor in the BP algorithm, and on the one hand, it can accelerate convergence, and can prevent oscillation at the same time[4].
We introduce a factor in incentive function.
Fig. 1 Learning error curve of standard BP algorithm Fig. 2 Learning error curve of variable momentum factor method Fig. 3 Learning error curve of method combining variable step and introducing factor Fig. 4 Learning error curve of fusion algorithm with variable momentum factor and variable step Through compareing and analysing various simulation results of BP neural network algorithm, we can find under the situation in which convergence rate is the slowest is basic BP algorithm showed as Fig. 1 in the same precision, after 5562 times learning ceases, From variable momentum method showed as Fig. 2, we can find the introduced momentum is almost equal to damping term, and it suppresses the oscillation movement of training process, thus affects the network convergence properties, so learning terminate after 3522 times training, and network study times come down, and learning rate increase, but error convergence rate increased a lot, the method combining variable step and
[6] Jian-yuan Zhu, Marine diesel engine vibration monitoring based on BP neural network, Mechanical and Electrical Equipment(2008),p33-36
[7] Xiu-ying WANG, Fault Pattern Recognition Based on Improved BP Network Algorithm, Mechanical & Electrical Engineering Technology(2008),p103-105

Anisotropic grain boundary properties are used in the simulations.
The thermo-mechanical properties of materials are dependent on the anisotropy in the materials introduced due to the anisotropy in the orientation of the grains comprising the microstructure.
One of these factors responsible for the recrystallized texture is the recrystallizing temperature.
Grain Boundary properties.
Figure 1 shows the grain boundary properties used in these set of simulations.

Generated model of the temperature pattern in the lamellate system takes into account system structure, thermo-physical parameters of the each layer material, and process factors: acting heat source duration and intensity, heat dissipation to process liquid, allowing calculating cutting modes, maximum allowed per heating temperature for each layer of the system.
This also affects the process thermo-physics.
Denoting , , for determining coefficients , we generate following system of equations: (15) Because of the quadratic polynomial properties we have formulas: (16) Introducing designations: (17) and , and solving the system Eq. (18) we receive following for the polynomial coefficients:
Xue Mechanical and biological properties of titanium syntactic foams, Proceedings of TMS 2010 Annual Meeting & Exhibition.
Xue Manufacture and Mechanical Properties of Metal Matrix Syntactic Foams, Тр.

The results are specifically interested in mechanical properties, and few of those are interested in thermal properties such as conductivity and thermal resistance of concrete.
The crumb granule properties are summarized in Table 1.
At the inner surface of the block, again, the above-mentioned factors reduce thermal diffusion and increase thermal resistance as shown in Fig. 7.
Wang, An experimental study on mechanical and thermal insulation properties of rubberized concrete including its microstructure, J.
Que´neudec, Physico-mechanical properties and water absorption of cement composite containing shredded rubber wastes, J.

K R Balasubramanian1, a,Dr.S P Sivapirakasam2, b, Jiss Mathew3, c 1, 2, 3, 4Department of Mechanical Engineering, National Institute of Technology, Tiruchirappalli-620 015, Tamil Nadu, India.
They offer superior insulating properties but how ageing and exposure could affect their insulation properties is a matter of concern.2 The traditional testing methods like insulation testing could only test whether the present properties are satisfactory.
The onset temperature reduced significantly with increase in both, duration of exposure and strength of exposure Exothermic Onset Temperature 0C Fig 4.2 Exothermic onset temperatures at different chemical exposures CONCLUSION Various factors contributing to insulation failures have been studied with special emphasis on insulation failures due to chemical interaction.

In this approach, experiments with the factors that are considered to be the most important are conducted to investigate the effect of each factor as well as the influencing mechanism on the surface roughness generation.
Taguchi method provides a considerable reduction of time and resources to determine the key factors that affect operations, achieving simultaneous improvement of quality and cost of manufacturing [51].
This work was focused on identify the main factors that influence a dry turning operation, and select the optimal manufacturing conditions that result in minimum surface roughness.
Most of them can be summarized in four main categories: machining parameters, cutting tool properties, workpiece properties and cutting phenomena (Fig.1).
The main utility and novelty of this work is that provides a guide, in form of tables and list of reference, for relating machining parameters, cutting tool properties, workpiece properties and cutting phenomena with the different techniques and optimization tools usually employed in predicting the surface roughness.

The substance construction, rock mass structure and mechanical properties of Badong formation are very complex, especially the developmental weak section can be seen everywhere, which make Fengjie become one of the regions where the geological disasters grow intensely.
Analysis of influence factors Tectonism.
The different proportion of the three minerals decides the difference of physical, chemical and mechanical properties of rock[16].
So along the profile, the chemical composition changes little; while the physical mechanical properties changes obviously.
Meanwhile it may lead the mud lime rocks to corrode and easily fracture, make their mechanical properties reduce.