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The current research paper deals with the methoding, die designing, modeling and simulation, optimization and finally casting of these components following the data produced by the former.
Table. 1.1 Basic data used for calculation of risers.
Si Mg Mn Cu Fe Zn Ti 7.50 0.45 0.10 0.20 0.15 0.20 0.01 Table 1.3 Initial Conditions and thermo-physical data used in the casting simulation.
Considerable reduction in cost could be achieved by using a computer simulation model with a good code; correct reproduction of initial conditions to thermo-physical data is very essential.
Ltd. for permission to use the data in this paper and Pakistan Science Foundation for the travel grant to present this paper at MSAT-8 in Bangkok, Thailand.

The order in which have been conducted the tests has been established through the use of the Minitab software, in order to ensure the data normality and the absence of auto-correlation between the tests.
An automatic procedure allows the drawing of the data in files containing numerical input and experimental data.
It also analyzes the obtained data comparing graphs in terms of fluid pressure, punch stroke and force for each actuator.
As it can be appreciated, thanks to the reported data, there is a good agreement between numerical and experimental values with a discordance of about 3 %.
As it can be appreciated, thanks to the reported data, there is a good agreement between numerical and experimental values with a discordance of about 4 %.

In previous researches [1] I have investigated the feed rate influence on surface roughness and manufacturing time reduction.
The final results will be used as data for future research.
As to the productivity related to surface roughness, according to obtained data from the experiment, we found that the best ratio of these two factors is to the cutting regime: cutting speed at 530 m/min, feed per tooth at 0.14 mm/tooth and cutting depth at 4 mm, resulting a surface roughness of 0.212 μm.

Based on the data collected from the field assessment, the thermal comforts indices with expectancy factor were calculated.
Therefore, the radiant cooling technology was introduced and it was found that this type of cooling technology was effective in reduction of the air conditioners’ operating cost [3-4].
The field measurements and data collection were conducted for a period of five days (15/10/2012 – 19/10/2012) at level 2 - level 6 of the building, where the thermal environment for these five floors was measured.
The thermal comfort parameters in the building were recorded by using a thermal data-logger.
Measurements were taken in every 5-minute interval, and all the measured field data was transferred to the portable computer in daily basis for further analysis.

This paper started with analyzing the performance data of the plastic sheet molding material, using nonlinear finite element method and multi-physics coupling method to simulate the plastic sheet forming process, and the result gives the required parameters for product design and quality control.
And mechanical property constant C10, C01 is determined by the experiment, which is obtained by multiple testing and data fitting. 2) The geometric model and mesh configuration Simulation studies were focused on the common forming characteristics, such as cup drawing parts of different drawing ratio.
Based on the data obtained by photographic surveying the formed specimen with deformed grids, the ASAME grid Strain Measurement System gives the thickness distribution of specimen cup blow, as is shown in Figure 5 and then the thickness distribution of specimen cup blow can be obtained by data procession through ASAME grid Strain Measurement System, as is shown in Figure 6.
Reference： [1] Adolf Illig and Peter Schwarzmann, in: Thermoforming: A Practical Guide, Chemical Industry Press (2007), p.14 [2] A.Attar, N.Bhuiyan and Vince Thomson: Manufacturing in blow molding: Time reduction and part quality improvement, Journal of Materials Processing Technology (2008), Vol. 204, p.284-298 [3] WANG Wen-bo and PIAN Xiao-peng: Seal Design of Box Edges Based on Nonlinear FEA, Mechanical Engineer (2009) Vol. 10, p.104-106 [4] LAI Jia-mei, LIU He-sheng, HUANG Han-xiong and BAO Zhong-xu: 3D Numerical Simulation of Parison Inflation in Extrusion Blow Molding, China Plastics (2004), Vol. 18, p.85-87 [5] LV Xiao-dong and WAN Min: Application research on microscope strain testing system of sheet metal, Forging & Stamping Technology(2007), Vol 8, p.101-104

Other authors point out that compared to a wall without insulation or air gaps, an emission reduction of 60% can be achieved [16].
Section “Insulation materials” presents the insulating materials used in the retrofit intervention and, finally, “Imput data” section summarizes the parameters used to carry out the methodology.
The thermal conductivity values were extrapolated from standards [19] or, if not available, from data taken from product data sheets.
Cm [€/m3] WF Plant 0.040 194.63 HF Plant 0.038 145.38 LF Plant 0.040 236.38 CK Plant 0.045 200.88 SW Animal 0.038 177.00 RW Mineral 0.033 93.50 FG Mineral 0.034 115.75 EPS Fossil 0.032 158.13 XPS Fossil 0.036 138.13 PUR Fossil 0.026 159.88 Input data.
Table 2 - Input data [11,20].

It includes domain that confirms how to act,any data to be returned and domain for checking error.Slave device will create message and send it as responded message,when there are data errors for slave device to receive messages or slave device can not execute the command that primary device sends.
Theory Introduction Remote Transmit Manage Unit uses 32 bit ARM chip and uCOS operation system(real time operation system).It unites many technologies together, such as Ethernet communication,read analogue input,read analogue output,switch input,switch output,wireless communication and so on;it is a highly intergrated office terminal that is specially designed for data acquisition,data storage,data control and long-distance communication in industrial process;it has the capacity of three-phase alternating sampling, uses special three-phase multifunctional chip for calculation, highlights precision energy accumulation and  measurement precision and meets requirements of general oil field for detailed management, energy-saving and emission-reduction.
Start Address Function T1-T2-T3-T4 8bit 8bit Data Crc End N×8 bit 16bit T1-T2-T3-T4 Fig. 1 Modbus RTU Frame Format B.
In fact,during the process of operation we will probably meet a lot of troubles,for example, data encode,data compression,the design of new interface and so on.
[3] Steve Mackay,Edwin Wright,Deon Reynders,John Park.Practical Industrial Data Networks: Design,Installation and Troubleshooting.

For this purpose, a phase-field model has been extended to allow for complex 3D anisotropic interfacial energies and interfacial mobilities, calibrated by data from molecular dynamics studies.
The anisotropy coefficients are calibrated with data from molecular dynamics studies on pure Mg recently published by Xia et al
For the assumed anisotropy functions, based on molecular dynamics data for pure magnesium, dendrite arms are found to evolve only in <1120> orientations.
For the assumed anisotropy functions, based on molecular dynamics data for pure magnesium, dendrite arms are found to evolve only in <1120> orientations.
Figure 4: Simulations for two different process velocities in comparison with experimental data by Mirkovic [9].

Experimental data are used to formulate multisubstrate degradation and fungal growth influenced by the IMC.
TKN conversion into a dry weight of fungus follow equation conducted by Shi et al (2012) [6], but based on a preliminary data from pure Phanerochaete chrysosporium in this research that a linear correlation existed between fungal biomass and presence of TKN with a conversion coefficients (kT) of 10.8 g fungal biomass.g TKN-1.
The results of the evaluation of the application of the effects of IMC model to data of research by Wan et al (2011) can be seen in Figure 3.
Results of Curve Fitting Application of Moisture Content Model for Research Wan et al. 2011 Implementation of the experimental data of Wan et al. 2011 on the effects of IMC model gives Sum of Square Error (SSE) results of 0.000507, the relative error below 5% and R square above 0.8.
Curve Fitting Results of experimental data of Wan et al.2011, using IMC effects models result in some constants.

Hardening/softening curves, cyclic stress-strain curve and fatigue life data of coated and uncoated material were obtained.
Experimental data were approximated by the power law log σa = log K´ + n´ log εap
was used to fit experimental data.
The Coffin-Manson law log 2Nf = (1/c) log εap - (1/c) log (3) was fitted to experimental data and material parameters were evaluated using non-linear regression analysis.
Fig. 6 shows that experimental data of both materials are close to each other.