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Some of these compounds include nitrate [1], limestone and anhydrite [2, 3], sulfate and sulfate–chloride [4].The rheological properties of concrete could also be affected because these chemical compounds or impurities in the water might affect the ease of placement and consolidation, thereby causing entrapment of air voids and aggregate segregation.
Although, if the contamination level of the water is within acceptable limits, such water is not expected to affect concrete properties [5].
The physical properties of the aggregates are shown in Table 1.
The procedures for determination of the material properties followed those of the following studies [11–14].
This may be a result of rapid cement hydration or partly be attributed to the presence of minimal impurities in the water sample, amongst other factors like compaction and placement. 4.

Exposure of the force steel bar was more than 30%, which caused its adhesive properties reducing significantly.
According to the given parameters and relevant information, MIDAS-finite element analysis software is used to establish an entity model and simulate the mechanical properties of the frame underpass bridge structure before the fire.
MIDAS-finite element analysis software is used to establish an entity model and simulate mechanical properties of the frame underpass bridge structure before and after fire.
iii) Considering the present situation and the important role of the underpass, construction period, financial condition, later maintenance and other comprehensive factors, pasting 2 layers of the carbon fiber sheets is adopted to improve the carrying capacity of the structure.
The mechanical properties of reinforced concrete structures after fire [M].

The parameters of the fuel properties are given in Table 1 and Table 2.
The XRF (X-ray fluorescence) and XRD (X-ray diffraction) analysis are performed to explore the properties of bottom ash and fly ash.
There is limitation for chemical equilibrim analysis, because the effects of kinetics, residence time, operating conditions and other factors are not taken into consideration.
When the operating conditions of all the experiments are kept consistent, the main factor influencing results is the fuel properties.
Ash properties.

Introduction The excellent mechanical properties and outstanding strength-weight ratio have led to the successful application of Titanium alloys in biomechanical engineering and aerospace industry.
The high costs of machining Titanium alloys are mainly caused by the low productivity which resulted from two factors: the poor machinability and the unpredicted onset of chatters.
The poor machinability of Titanium alloys owing to the inherent properties of low thermal conductivity and high chemical reactivity, which adversely affect tool life, lead to premature tool failure and eventually cause the extremely low efficiency.
In an actual milling process, particularly for milling thin wall parts, continuous removal of material leads to the change in dynamics properties of the workpiece during the process.
It does not affect milling process because of its low energy.

The final properties of the coatings and layer composites do not just depend on the properties of the combined materials but, as in the case of ceramic coated light metals, are distinctly affected by the occurring residual stresses and their interaction with operational load stresses.
Also the rotation velocity of the table is an important parameter which affects the final geometry and properties of the thermally sprayed coating.
Mechanical properties and biocompatibility of these implants are nevertheless not completely satisfactory, and new composite devices are demanded.
Polymer fracture fixation devices present some advantages compared to metal implants in particular regarding their mechanical properties, because they match the natural mechanical properties of bones much better than metal fixation devices.
In particular residual stresses in the substrate should be reduced to the minimum, in order to avoid a possible worsening of the implants mechanical properties.

Fault tree has been established in this paper by analyzing factors leading reciprocating compressor fault based on the method of fault tree. 21 minimum cut sets leading to reciprocating compressor fault can be gotten through qualitative analyses on this fault tree, the happening probability of the top event can be calculated and the importance of the basic event s can be analyzed through quantitative analysis.
Once the machines are abnormal and fault ,it will affect the normal production, bring huge economic loss .Development of reciprocating compressor fault diagnosis, fault elimination can be invisible, the normal operation of the machine can be ensured, economic benefit be improved.Application of fuzzy fault tree theory can effectively diagnose reciprocating compressor failure probability, and quickly identify the predisposing factors causing failure.
Valve fault in E1,pressure packing ring fault in E2; fault of piston ring in e3; piston and piston rod cylinder fault in E4; Cylinder fault in E5; oil wiper fault in E6; valve failure in E7; spring failure in E8.valve plate surface debris, the valve fracture, springinner surface crack, improper selection of spring,spring ,piston rod and a packing ring friction and wear, filler rod and the piston rod seal failure,packing box temperature increased,piston ring gap too small,piston ring tension too large,piston and piston rod of the mechanical properties and smoothness does not meet the requirements,the piston rod and the piston are not firmly connected,piston rod positioning terminal and the central line of the piston verticality does not meet the requirements,cooling water system in short supply,lubrication system oil supply shortage,suction valve cavity leakage,Exhaust valve jammed or broken,oil wiper wear,scraping the oil ring incorrectly installed, piston rod worn or scratched, ring side
And so on, other bottom event probability of reciprocating compressor fault tree can be calculated.calculate top event occurrence probability and the bottom event probability importance degree, find out the most important influence factors of reciprocating compressor failure ,,provide guidance for reciprocating compressor repair and management,improve its safety and reliability.This shows that the main factors of Reciprocating compressor failure is the valve and pressure packing ring fault;the second is the piston ring, piston and piston rod and the cylinder fault.The results can be used for the maintenance and improvement of reciprocating compressor design theory.
Mechanical Industry Press,1991 [7] Chen Shu-Jen , H Wang Chin G-Lai.

In the factors that influence hot pressing process, pressure, temperature and time occupy a leading position.
Horizontal distribution of temperature, pressure and moisture influence sheet formation of density, thereby affecting physical and mechanical properties of wood-based panel [2].
Vector and are unrelated white noise with zero mean value, which have the following statistical properties: (3) (4) (5) (6) where is the symmetric nonnegative definite covariance matrix of the system noise, while is the symmetric positive definite covariance matrix, and are Kronecker functions.
The initial state of the system is a random vector with the statistical properties as: (7) (8) Assume that are all unrelated.
[5] SONG Kaichen, NIE Xili: Chinese Journal of Mechanical Engineering, 2006, 19(3), pp. 451–454.

This paper solves the penny-shaped crack configuration in transversely isotropic solids with coupled magneto-electro-elastic properties.
The coupled properties of magnetoelectroelastic materials offer great opportunities for engineers to create so-called smart materials/intelligent structures that are cable of responding to internal and/or environment changes.
Work has been directed towards the crack tip field intensity factors.
The (stress, electric displacement and magnetic induction) intensity factors are given.
For the medium of finite size, dependencies of the local electro-magneto-mechanical fields near the crack border on the intensity factors should be same as those given by this paper for the infinite medium, since the medium boundary will not affect the qualitative character of the state of affairs near the crack border.

In the field of deep-drawing much experiment and research work has been published [1-2].The successful deep drawing depends on many factors.
Its mechanical properties are shown in Table 1.
Table 1-Material properties of SUS304 Youngs modulus 207Gpa Mass density 7.85g/cm3 Poissons ratio 0.28 Anisotropic coefficient 1.02 Basic parameters and tool setup.
Journal of Mechanical Engineering. 1995, 50(1995) 375-384
Journal of Mechanical Engineering. 2003, 39(4)49-52

The factors that influenced pattern definition include the type of electron beam (e-beam) photoresist, e-beam exposure parameter such as spot size, working distance, write field, step size, e-beam current, dosage as well as the type of developer and its developing time.
Introduction Fabricating of micro/nano structures on quartz would open several new possibilities because of its superior properties in UV transmission, piezoelectricity, can bear high temperature and extremely hard.
According to [5], the backscattered electron caused the proximity effect where the dose that a pattern feature receives is affected by electrons scattering from other feature nearby.
There are so many factors affect the during pattern definition and pattern transfer processes.
Acknowledgements The authors would like to acknowledge NORLab, School of Physics Universiti Sains Malaysia for the facilities, Malaysian Ministry of Education and School of Mechanical Engineering USM.