Search results

A set of sparse experimental data for finish end milling on AISI H13 at hardness of 48 HRC have been conducted to measure the cutting temperature.
Introduction High speed machining of hard alloy steels have many advantages such as reduction of machining time, higher metal removal rates, lower machining costs and better surface roughness.
For a perfect fit, the data should fall along a 45 degree line (dash line), where the network outputs are equal to the targets.
For this study, the fit is very good for all data sets, with R values in each case of 0.88 or above as shown in Fig. 3.
Fig. 3: Plot of data regression (training, validation, testing) The final weights of the model are concluded in Table 2 and Table 3.

The vibration data was recorded by accelerometers due to external forced vibration to assess its natural frequency, mode shapes and damping values of the system.
Finally the second beam is placed on the columns and tie up with bold and nuts as shown in Fig.1, with 7 LVDTs and 10 Stain gauges has been used and connected to a data logger to monitor and record the displacements and strain in steel reinforcements respectively.
The load cell is placed in the front of the hydraulic jack and connected to the data logger to record and monitor the load variations during testing.
After dynamic test was completed and the frame was tested to the collapse, the dynamic vibration data was transferred to SeismoSignal software to obtain the IBS system natural frequency and damping values.
The data taken from accelerometer that converted to the Fourier and Power Spectra will also give the natural frequency values.

Research on Related Problems of PM2.5 in Air Tian jiu Leng1,a 1Graduate Department, Yunnan Normal University, Kunming, 650500, China alengtianjiu@126.com Keywords: PM2.5, stepwise regression analysis, data, model Abstract.
PM2.5 can have significant impacts on air quality and cause visibility reduction, though it constitutes only a tiny proportion of the atmospheric composition.
The linear regression function was established making the minimum sum of  square errors between the monitoring data of PM2.5 and the computed data.
Space distribution:According to the above coordinate system, PM2.5 data of the fifth to eighth days (2013-01-05 to 2013-01-05) were chosen to map the spatial distribution, as shown in Fig.3.
According to the coordinates of the monitoring points, Xi'an topographic map and monitoring data, the initial boundary value conditions were briefly determined.

Taking the moderate resolution imaging spectroradiometer (MODIS) remote sensor data as the data source, the aerosol optical depth of Shanghai area on December 6, 2013 is inversed from the use of second simulation of satellite signal in the solar spectrum (6S) and NASA V5.2 algorithm, and then the formation has already been analyzed from the three aspects of human activities, weather situation and foreign pollutants.
It can provide the references for haze pollution monitoring and early warning using remote sensor data.
Data source and research method In this paper, the MODIS remote sensing images serve as the data source throughout the course of the study.
S. satellite, whose data can be freely received and used by worldwide users.
The analysis results shows that there is only continental aerosol model corresponds to the fundamentals of the V5.2 algorithm for MODIS remote sensor data.

Obtained data from gravimetric and thermometric analysis has shown the value of inhibition efficiency (% IE) is proportional to added inhibitor concentration and inversely proportional to the temperature.
The differences in weight of the coupons were calculated and was used to determine following data[2,4]: Corrosion rate, (1) Inhibition efficiency, (2) Degree of surface coverage, (3) where, W is the weight loss (g), r is the density of specimen (g cm-3), A is the area of Aluminum coupon (cm2), t is time of immersion (hours),.
Table 1: Data of inhibition efficiency (%I), degree of surface coverage (q) and corrosion rate (CR) of aluminum in 0.1M HCl solutions in the presence and absence of extracted inhibitor at different temperature.
Table 2 : Reaction number (RN) and percentage reduction in reaction number (inhibition efficiency) of aluminium in 0.1 M HCl solutions.
Conc [g l-1] Reaction Number ,RN [◦C min-1] % Reduction in RN (Inhibition efficiency, % I) 0.00 0.73 0 0.10 0.63 14.77 0.20 0.60 18.18 0.30 0.30 59.09 0.40 0.30 59.09 0.50 0.30 59.09 Thermodynamic studies.

From the monitoring results, the temperature monitoring results were consistent with the simulation data, and the maximum temperature and the temperature difference between concrete surface and internal concrete were met the requirement of temperature control standard.
Therefore, reduction of inner/surface temperature difference and maximum temperature, enhancing curing are key measures for crack control.
Under general curing conditions, grout in 28℃ in hot season with highest temperature of 69.7 ℃, anti-cracking safety coefficient of 1.29; while in normal temperature and low temperature season, due to the reduction of environmental temperature, increase of inner/surface temperature difference and basic temperature difference, lower grouting temperature is required.
Use wireless transmitting and receiving method to collect data and generate temperature curve and initial data report by specialized monitoring software.

Data Analysis.
The data presented are the means of replicate experiments.
As revealed by data analysis, linear regression equation between hulless barley pigment concentration (x, mg/L) and scavenging rate (y, %) was y = 14.287x - 9.3558.
Superoxide anion is the product of the one-electron reduction of O2, which occurs widely in nature.
The method is based on the reduction of ethanol DPPH solution in the presence of a hydrogen donating antioxidant due to formation of the non radical from DPPH-H by the reaction.

However, it was considered that the reduction of subsurface damage concentration is essential to get better contact resistance to 3C-SiC surface.
The measurements were carried out three times for each sample and the specific contact resistances were obtained from the average of measured data.
Although the data are not presented in this paper, I-V characteristics measured for the Ni contact on 3C-SiC film showed the good ohmic contact properties for all the 3C-SiC samples.
According to the data shown in Fig. 3, both the surface morphology and subsurface damage concentration seem to be important factors to give a great effect on the contact characteristic of the 3C-SiC films.
To get better contact resistance on 3C-SiC surface, it is considered that the reduction of subsurface damage concentration is essential.

Otherwise the reduction of volume, power consumption and cost by using this method cannot offset the increase by doubling the valves.
The row control line is as a trigger, and their M column control lines are as a set of control data.
The combination of scanning row control line, setting control data by their column control line and series valves structure contributes to the achievement of managing valves matrix with less control components. 403 402 401 Fig.4 Planform schematic diagram of connecting valves matrix A Demonstration Based On Electro-Rheological Fluid Valves A demonstration of a valves matrix, 9×6 dots, on multi-line Braille displayer for blind people is shown in this section.
The reduction of power consumptions is the sum of those of 4365 power modules.
The combination of the scanning row control line, setting control data by column control line and series valves structure contributes to the achievement of managing valves matrix with less control components.

. =1243.37/ lonset = 1243.37/476 = 2.61 eV) was estimated by the UV/Vis absorption onset data obtained in the dilute THF solution.
The first oxidation and reduction potentials for PAHT were found to be as +1.17 vs Ag/Ag+ that corresponds to +1.46 V vs.
The HOMO-LUMO bandgap (EgCV = 2.91 eV) calculated by the electrochemical measurements is larger than the optical bandgap estimated by the UV-Vis absorption onset data (Egopt. = 2.61 eV) due to interface barrier for charge injection.
SCE) using Eq. 2 and Eq. 3 : IP= Efirst oxidation + 4.39 eV (2) EA= Efirst reduction + 4.39 eV (3) Where the constant 4.39 eV is the relationship between IP, EA, and the electrochemcial potentials.
The HOMO-LUMO gap calculated by the electrochemical measurements (2.91 eV) is larger than the optical bandgap estimated by the UV-Vis absorption onset data (2.61 eV) due to interface barrier for charge injection.