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The reliability of numerical simulation is firstly validated by comparing the simulated cutting force with experimental data.
Introduction Metal cutting research is of great interest due to the ever-increasing demands on cost reduction and product quality improvement.
To verify the reliability of our FE model, the simulated cutting force is compared with the cutting test result [9], which is based on AISI 4140 steel specimens for lack of test data of AISI 4142 steel in literature.
The variation of cutting force during the cutting process at 5 m/s and its comparison with experimental data are shown in Fig. 1.
The cutting force will be finally decided by their overall coupled results and its variation is not simply monotone. 0.00 0.05 0.10 0.15 0.20 0.25 0 100 200 300 400 500 Cutting force (N/mm) Cutting time (ms) Finite element predictions Experimental result 0 5 10 15 20 25 350 355 360 365 370 Cutting force (N/mm) Cutting speed (m/s) average values of cutting force at the stable state Fig. 1 The variation of cutting force with time and its Fig. 2 The variation of the average cutting force comparison with experimental data (V = 5 m/s).

Referring to the data, the investment of the heat exchanger can achieve 2.68 g/kWh coal saving during the non-heating period and 0.2531 g/kWh during the heating period.
As power plant fuel prices continue to rise, the requirements of energy conservation and emissions reduction are also more and more strict, so the utilization of exhaust gas heat for utility boilers is of great significance [2-4].Studies show that if exhaust heat is directly used by boiler, the boiler efficiency will be increased by 1% as the exhaust gas temperature reduces 22℃, the boiler exhaust heat loss is reduced, which can greatly save coal consumption and energy.
The simulation platform ensures the veracity and reliability of the test data.
Table 1 Basic parameters Item Unit Data Car % 41.76 Har % 3.20 Oar % 9.05 Nar % 0.55 Sar % 0.21 Mar % 29.98 Aar % 15.25 LHV KJ/kg 15535 Flammable volatile flux % 41.91 Consumption of fuel t/h 195 According to the parameters of Tab 1, calculate the gas heat in the plate exchanger firstly, the gas heat can be achieved from the equation below [7,8]: (1) Where hy is the actual gas enthalpy, kJ/kg; hy0 is theoretical gas enthalpy, kJ/kg; hk0 is theoretical air enthalpy, kJ/kg;is the excess air coefficient of gas
The results show that the simulator can response and adjust fast according to different working conditions, which is of high accuracy and experimental data is reliable and effective.

X rays powder diffraction data were collected for the sintered samples in order to a structural and microstructural analysis.
The first one of the advantages is the cost reduction.
X rays powder diffraction data were collected with a conventional Rigaku MultiFlex diffractometer with a fixed monocromator.
Table 1 - Sintering parameters of Cu-Ni-Al Condition Premixed Compaction pressure 1000 kPa Chemical alloy composition (wt %) Cu-0.5%Ni-0.5%Al; Cu-1%Ni-0.5%Al; Cu-1%Ni-1%Al; Cu-3%Ni-3%Al; Cu-4%Ni-4%Al Sample dimensions Cylinder diameter f = 10.2mm e h = 14.8mm Sample weight 6.5 g Sintering temperature and conditions Sintering temperature (°C) Condition for premixed Vacuum pressure 650 - 800 Solid state sintering 10-4 torr Sintering time (s) 1.8x103 to 5.4x103 Homogenization time (s) 3,600 to 28,800 Results and Discussion The Table 2 resume some data realized until now with the samples of copper nickel-aluminum alloys concerning mixing, compacting, sintering, homogenizing treatments and also values of hardness and electrical conductivity.
The powder diffraction data indicate that the utilized amounts of dopants do not distorted the copper matrix structure significantly.

A fold over was the exact opposite of the basic design in signs (data not shown).
The low recovery at high pulp density can be attributed to an increased friction between particles leading to reduction in adhesion between the substrate particles and bacteria for lixiviant production.
Normal plot of effects of main and two factor interactions from average sum of the effects of basic and fold-over designs (data for fold-over design not shown in this report); A, B, C, D, E are factors (Table 1); AB, AC, AD, AE, BC, BD, BE, CD, CE are interactions of factors 4.
Hunter: Statistics for Experimenters-An introduction to design, data analysis and model building, John Wiley and Sons, New York (1978) [8] L.

Thermodynamic data on the clogging of submerged entry nozzle It shows the chemical compositions of 409 stainless steel from table 1 and Table 2 shows the relevant thermodynamic data.
Table 1 Chemical compositions of 409 Stainless Steel (%) C Si Mn P S Cr 0.05 0.7 0.8 0.02 0.02 11 Table 2 Related thermodynamic data GӨ (J/mol)[5] The chemical equation GӨ (J/mol) Table 3 Interaction coefficient of elements in iron solution (1873K)[6] N Ti Cr O Ca Si Al C 0.13 -0.165 -0.12 -0.45 -0.34 0.18 0.091 Si 0.047 0.050 -0.0043 -0.131 -0.097 0.11 0.0056 Mn -0.021 0.0043 - -0.021 -0.007 0.002 P 0.045 -0.0064 -0.053 0.07 0.11 S 0.007 -0.011 -0.02 -0.133 0.056 0.03 Cr -0.047 0.055 -0.0003 -0.04 0.020 -0.0003 Clogging of TiN type The melting point of TiN is high, precipitated in liquid steel.
Reduction of Ti and SiO2 According to CaO-SiO2-Al2O3 three slag system activity diagram, we calculated .

To determine the impedance parameters of the pure iron specimen and the glutamic acid derivatives modified iron specimen, the measured impedance data were analyzed for the electric equivalent circuits that are given in Fig. 3 [8].
Table.1 Element values of equivalent circuit to fit the impedance spectra in Fig.2 as well as the values of protection efficiency (PE) calculated Inhibitor Immersion time Rct/Ω cm2 PE (%) bare 2665 / N-Phthaloyl-L-glutamic Acid 1h 5311 49.82 2h 6566 57.02 3h 8049 59.41 4h 6200 66.89 N-Benzoyl-L-glutamic Acid 1h 5449 51.09 2h 6383 58.25 3h 7408 59.33 4h 6552 64.03 N-(1-oxooctadecyl)-L-glutamic acid 1h 5380 50.46 2h 5991 54.68 3h 6670 55.52 4h 5880 60.04 Table 1 shows the fitted data and the calculated results from the impedance plots of bare electrode and the electrodes modified with glutamic acid derivatives self-assembled films formed at different immersion time.
It is observed in Fig. 4 that the formation of glutamic acid derivatives films affects both anodic dissolution of iron and cathodic reduction reaction of hydronium.
Analysis of the experimental data suggests that the protection efficiency was strongly determined by the immersion time.

Under VMI program, the vendor has the advantage of determining the timing and quantity of replenishment and has access to the retailer’s inventory and demand data [2, 3].
The advantages of implementing VMI program are very significant and can be summarized as reduced inventory costs [6], reduction in demand uncertainty [7], and more flexibility in production planning and distribution [8].
Under VMI program, the medical equipment vendor has the advantage of determining the timing and quantity of replenishment and has access to the retailer’s inventory and demand data.
Under VMI program, the medical equipment vendor has the advantage of determining the timing and quantity of replenishment and has access to the retailer’s inventory and demand data.

Equation (2) is used to make operation for synchronization attenuation rate of communication signal: （2） Using the above method, the communication can be informationized into a lot of subintervals, and all the nodes within the area of time of specified range are expanded to compute cumulative attenuation rate of the communication information. 2.2 achievement of synchronization cumulative error compensation During the reduction of the degree of communication information attenuation, auto-regressive integrated moving control model can be used and represented by equation (3): (3) In the process of synchronization cumulative error compensation of communication information, using the formula (4) represents the ideal value: (4) The ideal value’s vector form of synchronous cumulative error compensation of communication information can be represented by the equation
The communication signal attenuation data in the above experimental procedure are analyzed to obtain the following results as Table 1 described: Table 1 Experimental data of different algorithms Experimental No.
Attenuation rate (%) Traditional algorithm Improved algorithm 1 36 23 2 33 21 3 34 22 4 31 21 5 35 24 6 31 22 7 32 21 8 37 23 9 33 22 10 36 25 According to the experimental data, it can be obtained that this algorithm used in the compensation of communication information attenuation in long-distance communication can effectively reduce the degree of communication information weaken and enhance the performance of communications in order to provide more perfect quality of service for the communication users.

(3) The comparative study of application data fitting of three algorithms Function: (4) Algorithms: BP, PSO, BP-PSO, Root of Mean Square Error (RMSE): 3.195, Sum of Square Error (SSE): 81.667, Correlation Coef.
Table 1 The comparison of Correct results number and Segmentation recognition rate of three kinds of image segmentation algorithms samples Correct results number/conclusion number Segmentation recognition rate BP POS BP-POS BP POS BP-POS Images 76/100 74/100 81/100 76% 74% 81% Figure 2 BP-PSO fusion algorithm prediction map in 2D grid line and 2D contour line Figure 3 Graph reduction improved image of fusion improved algorithm based on BP neural network and POS Summary This paper studies the standard BP algorithm and POS algorithm, respectively, image segmentation feature descriptor vector as the input of improved BP neural network, uses the improved BP neural network and POS fusion algorithm to segment image, and uses P image data set to carry out simulation experiments.
According to the data from simulation experiment, the results of optimal selected feature with large scale relative feature description sub-image segmentation is the best. 

The blades apply multi-layer multi-axial fiber glass cloth DBLT800, and the whole blade weight reduces from 312kg to 287kg (8% reduction) under the requirements of blade shape and structure strength.
In order to analyze the performance and data of the VAWT, the output power monitoring system arrangement shown in Fig. 3.
The wind turbine’s data monitoring system Figure 4.
The measurement data were synchronously recorded and applied to calculate average wind speeds and average power per hour.