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This increases the possibilities in terms of large reductions and change in shape with less complex tooling and also reduces the required load capacity and cost of the forming machine.
For friction reduction and surface quality improvement the lubricant oil of type AVIA GLEITBAHNÖL RSU 220 has been applied.
Control factors and levels Parameter Sign Level 1 Level 2 Level 3 Spindle speed (min-1) Workpiece geometry (-) n pm 300 (1) radius R10 600 (2) conical area 900 (3) cylindrical area Rolling direction of the sheet (deg) rd 0 45 90 Analysis of data Using Minitab 16 software, ANOVA (Analysis of Variance) was performed to determine which controlled process parameters and two-way interactions significantly affect the performance characteristics.
The LB (Lower-is-better) type S/N ratio (Signal-to-Noise ratio) was used for transforming the raw data (1) where n is number of measurements in a trial and yi is the ith measured value.
Analysis of variance (S/N data) Source Sum of squares DoF Mean square p-value F- ratio n 0.61443 2 0.30722 0.031 5.51* pm 0.45797 2 0.22898 0.059 4.11 rd 0.05901 2 0.02950 0.608 0.53 n*pm 0.21981 4 0.05495 0.467 0.99 pm*rd 0.20109 4 0.05027 0.506 0.9 n*rd 0.20531 4 0.05133 0.497 0.92 Other/Error 0.44588 8 0.05574 Total 0.638852 26 2,20349 Tabulated F-ratio at 95% confidence level: F (0.05; 2.8) = 4.46; F (0.05; 4.8) = 3.84 * significant parameter or significant two-way interaction Conclusions On the basis of the S/N ratio graphs and ANOVA, it can be declared that spindle speed is factor which relatively intensively influences the surface roughness of spun part, produces by conventional metal spinning technology, where higher values od spindle speed results in the higher values of roughness parameters.

First collected raw data and calculated.Then drew the pie chart in order to show the loss distribution better.The Figure 2 shows that most of the exergy loss of power plant is in the boiler, the second is in the condenser.
Firstly, Collected raw data, inquired the entropy of working fluids under different status.
The exergy situation of each regenerative heater extraction factor exergy drop of steam extraction exergy rise of feedwater exergy drop of drain the amount of exergy loss the amount of exergy enter exergy efficiency the rate of exergy loss 1 0.0722 964.8470 66.481 0 3.18095 69.66195 0.95434 0.00197 2 0.0829 929.8953 77.865 84.958 5.35729 83.22229 0.93563 0.00331 3 0.0385 1047.3910 47.565 51.958 6.12731 53.69230 0.88588 0.00379 4 0.0423 843.7798 39.695 18.876 8.70100 130.27800 0.93321 0.00538 5 0.0354 693.0598 27.602 63.456 3.17037 24.53432 0.87078 0.00196 6 0.0223 539.0534 14.165 15.044 1.58974 12.55345 0.87336 0.00098 7 0.0315 451.8340 17.152 18.531 2.04489 15.32054 0.86653 0.00127 8 0.0265 287.8353 9.304 9.369 1.29110 8.49239 0.84797 0.00080 Draw the line chart of each regenerative heater in order to be more intuitive to analyze, according to the data of table 1.
The analysis results of improvement program heater number fractional flowαgi the increment of equivalent enthalpy reduction△H[kJ/kg] efficiency improvement△η[%] coal consumption rate savings△b[g/kW·h] 2 0.042 0.248 0.173 0.213 3 0.042 0.541 0.198 0.244 The table2 shows, through using the outer steam cooler, We can use the energy gradient, reduces the irreversible loss in the process of heat transfer, achieve the effect of reducing coal consumption.
It has very important practical significance, provides reference for energy conservation and emission reduction of power plant.

The given work provides a research of synergy between separate parameters of room thermal stability and automatic control systems of the indoor climate support, it regards a formula for computation of control regulator ratio for purposes of power capacity reduction in the technical equipment systems.
Value Во is a coefficient of reduction to Кass, leaning on qк < 1 (also dimensionless).
Accordingly, we obtained numerical data and graphed characteristic curves illustrating our conclusions.
Data analysis has shown that fragmentally we may observe a thermal nonstationarity and dynamics of the room thermal processes.
Dependence of coefficients Rdyn and Кass desks on the parameter of Кreg With regard to the above-mentioned, a chain line depicts data obtained in view of the results of a numerical model.

Unfortunately, the data regarding clinical efficacy are not yet available for the MDR reversal agent may expose the patient to unacceptable side-effects or toxicity at the doses required for effectiveness and/or affect the pharmacokinetics of the anticancer drug [3].
Cells were incubated for another 48 h and growth inhibition was evaluated by MTT (3-(4,5-dimethylthiazol -2-yl)-2,5-diphenyl tetrazolium bromide) reduction method.
Cells were filtered and then Data acquisition and analysis were done by flow cytometer (Becton Dickinson FACScan.
The effect of sensibilization to doxorubicin was detected by MTT reduction method.
The data show that the GA-R could induce the cellular apoptosis.

The calibration mainly chooses idea of theoretical data accord with observable data to estimate parameter of DSEG model (Smets&Wouters, 2003), that it uses experience study to confirm parameter of model.
The advantage of calibration is usually very stable and it can enable researchers to pay more attention to data characteristics of DSEG model (Smets&Wouters, 2003).
The increase in salary and interest rate cause factory to reduce input in labor force, it finally results in reduction in output.
In the short period, positive monetary supply shock will cause increase in interest rate and price, reduction in output, the circulation effect of monetary is very weak, so that it influences adjustment effect on regulation of monetary supply.

Ammonium nitrogen was determined by sodium bromate oxidation method, the nitrite nitrogen was determined by diazo-azo method, nitrate nitrogen was determined by the zinc - cadmium reduction method [10].
Data Statistics and Analysis Experimental data were analyzed using the single factor analysis of variance.
Analysis software was SPSS 17, and all data were expressed in mean ± SD.
It was speculated that the oxidation and reduction reactions of nitrate nitrogen were produced, the three nitrogen concentrations were very low after 24 h.

Procedure and Experimental Data.
The binary energy parameters aij for the miscible mixture were obtained from vapor-liquid equilibrium data reduction using the following thermodynamic equations:
Data Vol.7 (1994), p. 177 [2] R.
Data Vol.52 (2007), p. 1710 [5] T.
Data Vol.50 (2005), p. 2013 [7] K.

Especially in the case of large data sets, it’s very inefficient.
Partition algorithm For the Apriori algorithm’s lack of data mining in the large-scale data sets, A.Savasere presents the partition algorithm; the core idea of the algorithm is to divide the original big data sets into series small parts that contains only small amount of data sets logically.
The Map function is responsible for processing sub-data set and generate intermediate results; the Reduce function is responsible for reduction of the intermediate results and generates the final results.
The experiment data is generated by IBM Data Generator[6]; there are three data sets altogether: T5.I2.D1000K, T5.I2.D5000K, and T20.I4.D1000K.
Data Mining Concepts and techniques, Second Edition [M], 2008.

Recommendations about reduction of payback periods are provided.
However, the solution of application of thick thermal insulation for sharp reduction of losses of heat raises doubts in its economic validity.
Unsteady heat and mass transfer in combustion chambers of internal combustion (primarily Diesel) engines are analyzed and experimental data are reviewed.
New experimental data are presented [36] on nonstationary and transient operating conditions of closed liquid metal loops with MHD pumps.
Due to the lack of exact data (data for the continuous period) the indicator will turn out approximate.

The process data is used for clustering analysis to acquire the state in advance.
The simulator for the Tennessee Eastman process is used to generate normal and fault data.
We select 100 process data from the normal data and the first two fault data respectively, as the original data.
The blast furnace is a huge chemical reactor where reduction reactions take place.
The data comes from three steel grades, including 81, 138, 200 samples respectively.