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The cutter location point data is the original data that generates the NC trajectory and the precision of the part is determined significantly by the distribution accuracy of the cutter location point.
Table3 shows the key cutting parameters and key data for the milling experiment.
As can be seen from the test results in Table 4, the reduction of the tool-path interval can reduce the roughness value.
R1-R3 are three tool-paths consisted by the location data, whose sampling points are P1-P6.
After statistics, the maximum error between the optimized tool position data and the coordinate measurement data is 0.0033mm, and this error is less than the maximum error required for surface shape requirements 0.005mm.

At that, the choice of efficient technologies can be made basing on the analysis of field-geological and laboratory data, as well as the analysis of previously conducted activities with account of facies genesis of reservoir rocks in the wells, where the geotechnical activities (GTA) are realized.
Using detailed field-geological analysis, the data obtained after the processing of a bottomhole formation area of the development wells with the application of hydrocarbon solvents and acid compounds was assessed.
The result is the mudding of the treated intervals pores of the productive object and the reduction of the permeability of the deposits for the formation fluids.

The crystallite size and lattice strain of the synthesized powder particles were estimated by Williamson-Hall isotropic strain model (W-H ISM) from powder X-ray diffraction data.
In the present study the root mean square error (RMSE) or standard deviation (SD) of experimental data points from the ideal linear fit for HA [Fig. 3(a)], 1CHA [Fig. 3(b)] and 1C1SiHA [Fig. 3(c)] are respectively given by 7.64 × 10-4, 18.6 × 10-4 and 12.19 × 10-4.
Though the data points seem to be visually scattered from their respective linear plots, the standard deviation data show that the scatter from the linear fit is about the order of 10-4.
This is due to the fact that dislocations are thermodynamically unstable, having an associated localized energy which results in an increase in free energy and a reduction in the activation energy for dissolution at points where they emerge on the crystal face.

Related scholars utilize different data sources and seek ways to study them.
It used radar satellites and airborne synthetic aperture radar (SAR) image data,thematic mapper(TM) data, SPOT data and high resolution data of other sources and combined with the geographic information system (GIS) technology to carry out multi-level monitoring and detailed evaluation in serious disaster area.
Besides satellite data format and the standards of RS data processing and assessment are not unified.
The production and updating of high precise based data Flood disaster monitoring and evaluation is based on having the high accurate and real-time bottom data.
But the continuously updating of data and the improvement of technology still can't be guaranteed.

These sensors acquire real-time raw data and relay it to a central processor unit.
Thingspeak platform was utilized to collect data.ThingSpeak is an open-source platform by Mathworks where data from sensors can be logged remotely and analysis done using Matlab.
The data acquisition process begins with the following sensors for data collection from a real-time parameter monitoring data acquisition system.
Data analysis indicated that our automated system effectively managed humidity levels.
Appendix Data The data on hatching parameters was collected from the geothermal system tests and a sample of the data is attached here https://docs.google.com/spreadsheets/d/1CgxGMAc4lATSM4rgHO04i4GrjLhEsgeNYiEizOU0Vog/edit?

Even if energy calculations or tabular data are stipulated, both meaningfulness and impact on the jury decision seem to be highly doubtful.
Major steps toward reduction of emissions and energy consumption need to be conducted in early design stages.
Ranking comparison between jury ranking, key performance data, and student’s subjective evaluation.
To find out, if gender or being a graduate or undergraduate student changes the average evaluation significantly, the collected survey data was clustered by these attributes.
Future Research should focus on fine-tuning of the subjective evaluation criteria, and encompass a larger data sample of different competitions.

For the industry to develop a managed pressure drilling capability that will allow today's generation of complex wells to be drilled safely with casing, it is necessary to develop models that include the effect of eccentricity , rotation and fluid rheology at bottom hole conditions on flow and pressure regimes, and to embed these models within an easy to use, intuitive well design package for pre planning and as a real time tool to monitor and provide forward simulations based on real time rig and downhole data.
For the industry to develop a managed pressure drilling capability that will allow today's generation of complex wells to be drilled safely, efficiently and reduce cost and problems , it is necessary to develop models that can be used to carry out effective planning, assess the operating window and application of each MPD techniques as well as process optimisation and to embed these models within an easy to use, intuitive well engineering tool that can be used for pre planning and as a real time tool to monitor and provide '' looking ahead'' forward simulations based on real time rig and downhole data.
With attendant reduction in well construction time and cost • Casing drilling eliminates the standard casing running or casing reaming obtained the standard process • Problems associated with running casing in crooked holes or tortuous extended reach wells are eliminated • There is potential for better quality holes and increased penetration rate with casing drilling • There has been reported cases of better well control especially in Gulf of Mexico[3, 4] • The lay down of drillpipes and collars becomes irrelevant • There is potential for reduced circulation time and circulating pressures • There is potential for high annular velocities because of small casing annular clearance.
Drilling engineers live in a data rich but information poor environment.

Data gathered from coupon testing was used to characterise a material damage, with failure, model for the heavy tow braids, using a general composite damage model available in the explicit Finite Element (FE) code PAM-CRASH TM.
σxx [MPa] εxx 0 50 100 150 200 250 0.000 0.050 0.100 0.150 0.200 0.250 STS/LY3505 braided composite, 1x1, 24k E-glass/LY3505 braided composite, 1x1, 24k σxx accounting for width reduction ±45° ±30° ( ( Tensile loading ±45° ±39° Tensile loading [±45°]2S STS/LY3505 specimen [±45°]2S E-glass/LY3505 specimen Shear band 1.7 160 35 Fig. 11: Comparison of experimental and predicted results for carbon and glass braided beams loaded under 4-point bending.
Carbon beam Glass beam ∆l [mm] F [kN] Total damage Localised compressive damage on the elements located under load spreaders Load spreaders 0 5 10 15 20 25 0 5 10 15 20 25 experiment -beam 1 experiment - beam 2 simulation Similar post failure behaviour 0 2 4 6 8 10 12 14 16 18 20 0 5 10 15 20 25 30 35 40 45 50 glass beam 1 glass beam 2 simulation - original [+-30] coupon ply data simulation - ply data recalibrated ∆l [mm] F [kN] Total damage Localised compressive damage on the elements located under load spreaders Load spreaders Similar post failure behaviour

The experimental data reveal that blades with a small cutting edge contact area cut at a lower temperature, and that signs of thermal damage are less evident.
However, these had the same profile of cross-sectional area reduction along the blade's length, such that the vibration amplitude gain was consistent for each tuned frequency [7].
Although the thermocouple is 1 mm from the cutting axis, and therefore not directly measuring temperature at the cut site, the data provide some insight into the way cutting parameters can be controlled to reduce cutting temperature below a critical value.
The time dependency of bone necrosis and the temperature limits are not well understood but these data offer possible opportunities to concentrate on controlling Tc below 60° and to allow Tw to attain higher temperatures for the very short period prior to cut initiation.

Due to the original data contained many interference data from measurement system, such as the noise of the environment and interference signals from data transfer process.
This algorithm is a kind of independent learning methods, reducing the data dimensions and realizing data visualization.
This algorithm has the ability to handle incomplete data.
The real-time data measured by sonic information of Power transformer belongs to high dimensions, and the relation of these data and transformer fault types is non-linear.
Therefore the data become more complex and the dimension of data becomes larger.