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The final PSD data was utilized to investigate the amount of the fracture and fouling.
The Hardin breakage index was calculated using the initial and final PSD data to determine the difference in particle size, which reflects the degree of deterioration caused by the applied force.
In this research, the fouling index was calculated using the data obtained from the final PSD graph.
Fig. 7 ACV test result 3.3 Analysis Data analysis method is used in this study.
AIV: (a) sample G and (b) sample L 3.3.2 Breakage after crushing test Figure 10 presents the Hardin Breakage Index data plotted in bar graph.

Among the many super plasticizer, polycarboxylate super plasticizer because of its high water reduction rate, good slump, low admixing v olume and no significantly retarding have become a emphasis in the development and application.
Test Process and Data.

So the main part of the paper is to demonstrate the procedure of statistical processing of experimentally obtained data in order to create a prediction model and compare it with the theoretical calculation formulas.
The surface quality, dimensional and shape accuracy, efficiency, stock removal rate and production costs are primarily dependent on the input data of the cutting process relating to a workpiece: (material, machinability, shape, surface quality), operating conditions (feed, cutting speed, depth of cut), a tool (a kind of tool sharpening, durability) and a machine.
Mathematical and statistical methods make it possible to develop statistical models even based on a relatively large number of input data which in the process of metal working occur in a large number.
When evaluating experimentally obtained data and identifying the relationship of cutting conditions and morphology of the machined surface, mathematical and statistical methods, especially multidimensional statistical methods, are used.
The graph shows us that increasing the cutting speed leads to the reduction of investigated parameter Rz.

The result showed that prolonging the milling time lead to the reduction of the Medium particle size D50.
Many research data show that[11] when pure Al grain size reach to nanoscale, its strength and hardness improved greatly.

Numerical simulation is a modern method to optimize cold plastic deformation processes in order to provide product quality, reduction of time and costs of execution.
The equations thus identified, extrapolated to a strain of = 4, will be used as input data to describe material behaviour in numerical simulations.

Element base calculation in finite element analysis requires data from the neighboring elements; an imaginary element or node is a ready entity and contributes locally in the analysis where it is introduced.
The box was excited with an instrumented hammer and the vibration data were acquired via a portable digital vibrometer (PDV 100) focused on strategic points on the structure.
A roving hammer test of 67 test points was conducted on the simple box with a laser vibrometer located at a fixed point as reference, to obtain the vibration data.
The vibration was generated by the energy input into the structure using an instrumented hammer and the vibration data picked by the use of a laser vibrometer.
Mottershead and H Ahmadian ‘Finite-element model updating using experimental test data: parametrization and regularization’ Phil.

Maclachlan et al. [3] corrects for the fact that failure would occur as actual stress goes to ultimate tensile stress rather than infinity, and provides a correlation of short-term stress-rupture tensile data and longer term creep data.
The ultimate tensile data of 12CrMoW is in comparison with the 5Cr, 9Cr steels after tempering at 750℃ in Fig. 2.
Since the most mechanical data of high temperature steel is obtained from the uniaxial test, it should be modified by triaxial coefficient Rv when applied to the real component due to its multi-axial stress behavior.
In internal flow passages, the steam temperature and surface heat transfer coefficient applied on the internal passages were set from 620℃and 5140 W/m2.K to 423℃and 25 W/m2.K respectively, according to the calculated data from empirical equation.
The multiaxial life prediction is consistent with published data.

Vibration characteristic in fore-and-aft direction Due to the similarity of the human body dynamic response, the test data of number 1 subject was taken for an example.
The test data of number 1 subject was taken for an example.
(3)Some data whether human body can bear vibration or not can be directly obtained, human comfort can be evaluated objectively.
Furthermore, it can provide measured data support for multi-dimension human body modeling and human comfort evaluation.
Research on human body modeling and human comfort evaluation is based on induction and analysis of the measured data, not just depend on the theoretical calculation.

The tank (data in Table 2) is the part of the operation of storage LPG, where are located 20 tanks and pumping station.
EC CAS Symbol of danger R phrases Propane the most 40 200-827-9 74-98-6 F+ 12 Physical properties Property unit Description / Value Physical state - liquefied gas Temperature ignition (°C) 460 Flashpoint (°C) - 69 Lower explosive limit % (v/v ) 2,1 Upper explosive limit % (v/v) 9,5 Pressure of saturated vapours at 20 ° C (kPa) 770 Table 2 Brief description of the storage tank (marking H01) Description of tank: horizontal, cylindrical steel tank, piping connections is in the pit on top of the tank Stored substance: Propane Characteristic : Flammable hydrocarbon gas liquified by pressure Working pressure: 1.6 MPa Working temperature: -35 °C to +50 °C Results and discussion In Table 3 are input data and results obtained by programs EFFECTS PLUS 5.5 for the calculation of the amount of leaked propane and an explosive atmosphere in the tank H01.
"safety margin" that must be used due to the used input data.
ALOHA program has limitations in the amount of data for example: -time factor, -pool area, -parameters of hole in the pipe from which is detected a leak of substance with which works and uses the program EFFECT PLUS.
References [1] EN 60079-10: 2003 Electrical apparatus for explosive gas atmospheres - Part 10: Classification of hazardous areas [2] TNI 33 2320 - December 2004 Electrical apparatus for explosive gas atmospheres - Determination of hazardous areas - Commentary to EN 60079-10 [3] HRUBY, J., MELEN, J., POHLUDKA, J.Recommendations for risk reduction of hazardous areas [4] Government Regulation 406/2004 Requirements for safety and health at work in potentially explosive atmospheres [5] U.

Four to five milligrams of the sample was used to acquire the experimental data.
Table 2 Results for the scanning data of the thermal runaway decomposition via the Thermostat software byTAM III.
Fig. 2 shows that not all of the data are compatible with the model.
This data set was excluded from further analysis.
[6] Material safety data sheet.