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Modification of epoxidised soybean oil For modification of epoxidised soybean oil, ESO, a solution of ESO about 0.6 mol and ,glacial acrylic acid 2.5mol were placed in a 500ml four neck round flask equipped with mechanical stirrer, thermometer, and reflux condenser.
In this equation da/dt is the rate of mass loss, a is the fraction of material reacted, n is the reaction order, E is the Arrhenius activation energy (J/mole), T is the temperature (K), R is a constant (8.314 J/mole K) and A is the pre exponential factor (sec -1).
Ea increase with higher conversion stages, which shows thermostability is affected upon heating process.
As for pre-exponential factor, ln Z seems to vary slightly with percent conversion for both systems.
Soo Jin Park,Fan-Long Jin,Jae-Rock Lee,Thermal and Mechanical properties of tetrafunctional epoxy resin toughened with epoxidised soybean oil, Materials Sciences and engineering A 374, pp. 109-114, 2004

The use of CFRC composites in Aerospace, Automobile, Defence, Bio and other related industries has grown recently, due to their low weight and high strength properties.
Orthogonal Array is a statistical method of defining parameters that convert test areas into factors and levels.
TABLE 2: EXPERIMENTAL VALUES OF T.F, TORQUE, RA AND DELAMINATION FACTORS (ENTRY &EXIT) S.No.
ἆ =αm+i=1nαi-αm (6) where α is the total mean of grey relational grade, α is the mean grey relational grade corresponding to the ith significant factor on the jth level and n is the no. of significant factors that affect the multiple response parameters.
int. conf. on recent advances in mechanical engineering, drmgr univ, Chennai, pp.32-36 (2011)

The zeolite, HZSM-5, has high crystallinity, large surface area and strong acidic properties [12].
To determine the significant factors for the catalytic hydrocracking of Ceiba pentandra oil to biofuels, first order was used to design the eksperiment.
Table 1 shows the properties of catalyst from BET analysis.
The properties of catalyst.
The effect of reaction time on the convertion indicated that temperature was also a main significant factor affecting the convertion of long-chain hydrocarbon molecules [18].

However, for low pressure turbine rotor blades, fatigue becomes the dominating factor dictating its life.
Determination of mechanical properties with varied temperature Tensile tests have been carried out using fuuly digital closed loop control INSTRON, UK Tensile testing machine Model: 4507 at RT, 400 °C and at 700° C respectively to determine UTS and YS which is given in Table 1.
Yield strength, doesn’t get affected much with the test temperature.
Table 1: Mechanical Properties of AP220BD at different temperatures.
Because of this, yield strength doesn’t get affected much by temperature even upto 700° C.

Static analysis of the grinding machine is mainly to control the machine’s static strength and rigidity under static loads in order to ensure the mechanical stiffness.
And natural frequency and the main vibration mode are the natural system property in grinding machine, so to obtain solution of no damping free vibration, the N degree freedom of linear system differential equation of motion is changed into the following formula to obtain solution[4]
Solutions can be obtained through finite element calculation after defining material properties, meshing, exerting loads and boundary conditions[5], as shown in figure 3.
In addition, the total deformation of the whole machine changed more, above caused factors were as follows: the force of Y direction load was much larger than the other two directions, which as large as 12mm.
And it was shown that these low-frequency modes would affect grinding precision though determining the dynamic characteristics of the grinding machine.

The magnetization curves were measured by a single sheet tester-type magnetic property analyzer.
Introduction Duplex stainless steels (DSS) represent a series of alloys characterized by high mechanical properties and corrosion resistance.
The properties of stainless steels can be studied by traditional microscopic, magnetic methods and modeling techniques as well [1, 2, 3, 4].
It was found that the substitution of Ni with a combination of Mn and N did not affect phase balance in LDSS [5].
(1) Where: Ni are scaling parameters, Ai are the amplitudes of magnetization components, αi. are the horizontal shifting factors.

The magnetic properties of Fe3O4-CS microspheres were characterized with a vibrating sample magnetometer (VSM, ADE EV5) by measuring the applied field dependence of magnetization between -20,000 and 20,000 Oe at 25○C.
With different properties that affected the proximity of soluble enzyme molecules, enzyme was deposited to form aggregates and later reacted with cross-linker like glutaraledhyde which were termed CLEAs [7].
In Fig. 3 the amount of glutaraldehyde used in the preparation of CLEAs has shown to produce different effects on the properties of the biocatalyst obtained.
For the magnetic properties of Fe3O4-CS microspheres, the value of saturation magnetization was 16.15 emu/g in Fig. 6.
The results indicated that the chitosan did not affect the magnetic separation of microspheres.

Surface roughness is also an important factor affecting mold service performances.
Table1 lists the most important properties of TiAlN coating.
If the PCR due to error (unknown and uncontrolled factors) is low, 15% or less, then it can be assumed that no important factors are omitted from the experiment.
This shows that some factors are omitted from the experiment.
Thus, this shows that influence of factors V and Rd on static δ is not significant, and influence of factor V is slight.

As mentioned before, the amount of population will affect the running performance of the GA.
But it must choose the non-dominance factor cautiously.
Because a factor which be chosen too large will be seriously affected the diversity of the population.
Agent is a software entity which has special intellectual property, so some factors that affect their mental state also need to be considered.
[4] Wang Wen-xi, Xiao Shi-de, Meng and Xiang-yin: Model and Architecture of Hierarchical Reinforcement Learning Based on Agent, Journal of Mechanical Engineering Vol. 46 (2010) p.76-82

Controlling texture and microstructure evolution during annealing processes is very important for optimizing properties of steels.
Introduction Recrystallization plays the most important role in determining the final properties of steel.
In general, the most important factor in controlling recrystallization is the energy stored during the deformation process.
The distribution of stored energy directly affects the nucleation sites and growth rate of nuclei.
In conclusion, one has to stress that textural and microstructural transformations during annealing are, at the microscopic level, inhomogeneous and depend on the thermo-mechanical history of materials.