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There is not enough data about the chip formation during the machining of composite materials produced by powder extrusion method.
First, the friction angle β is found by substituting the experimental data for the cutting force (Fc) and the axial force (Ft) in Eq. 2.
Consequently, the experimental cutting forces data and the cutting forces that are calculated according to Merchant and Lee-Shafer models are compared with each other.
This means that the data of these models compared with the experimental data are underestimated.
Third reason for reduction of cutting forces can be the thermal softening of the aluminum matrix, which occurs with increasing cutting temperature.

X-ray photoelectron spectroscopic (XPS) data were recorded (ULVAC-PHI, PHI 50000 Versa Probe).
The data were referenced to C 1s peak (binding energy (BE) 284.8 eV) resulting from adventitious hydrocarbons present on the sample surface.
From this data, the optical band gap energy Eopt of the glasses was determined by the following equation [7].
The ratio of TeO2 unit structures, especially TeO4 (tbp) (600, 660 cm-1), TeO3 (tp) (780 cm-1) and their intermediate structure TeO3+1 (740 cm-1) and connectivity of Te-O-Te linkage (400, 450 cm-1) in TeO2 glass network are obtained from deconvoluted data of Raman spectra [2].
Since Ag2O broke Te-O-Te linkages in Ag2O-Nb2O5-TeO2 glass system as seen in Raman data, it could be expected that Rec(3) of the glasses studied would decrease.

In the above formula the following constants were adjusted from experimental data [9,10]: w0=400, Dw=13.70, Da, Da=7.50 and umax=4.56 mm/min corresponds to the maximum value of the boundary migration rate.
a b c d Fig. 1. a) Rolling texture of aluminium (reduction 60%, max. intensity: 18), b) calculated compromise function S(g); max. intensity: 0.67, c) predicted recrystallization texture; max. intensity: 11; texture components marked: cube (), S (), rotated Goss (), d) experimental recrystallization texture of aluminium annealed at 5200; max. intensity: 70 (after [4]).
The starting rolling texture of aluminium (60% rolling reduction) is shown in Fig. 1a, while the compromise function, S(g), calculated on the basis of the deformation texture, is shown in Fig. 1b.

Block-diagram of the device The device consists of an optical transmitter and receiver part for collecting and processing data.
Mounting the sensor with adhesive tape led to a significant reduction of the reading changes.
It is clear from the graph, that the result is the reduction in oxygen saturation.

Therefore, amorphous transformer noise reduction is imperative.
Compared to the conventional noise reduction technology, there are several characteristics for ANC technology as follow: good effectiveness at reducing low frequent noise signals; lightweight control system with little bulk; designing and adjusting the characteristics of control system based on the characteristics of noise[4].
Initialization configuration of DSP chips is done in order to read and operate data.

Weighting although is not the mandatory element of LCIA is the element in which local data becomes important.
Thus, it can be possible to assess environmental impacts of building materials by using local data.
Fig.1 The distribution of the panelists The Development of the Survey and the Data Collection Process A survey for the weighting of the impact categories is prepared in accordance with the Analytic Hierarchy Process (AHP) proposed by Saaty [5].
It is observed that the data supported the results.
Conclusions This paper emphasize that the most accurate findings for the environmental impact assessment are usually obtained where the product, process, technology, and location-specific data for a building material is used.

For question one and question two , we established a model of the actual capacity will be standardized different vehicles , and statistics in the video pcu amount of data analyzed by the choice of the trigonometric curve fitting using cftool Toolbox obtained as a function of the actual capacity and time , and finally by analyzing the relationship between the relevant factors and the number of vehicles in different lanes , traffic signal mechanism to complete the first two questions .
The data given in the problem into three of the four models, solve for T equal to about 5.5 minutes .
Lane is occupied is the result of traffic accidents, street parking , lane construction and other factors , leading to the driveway or road cross section capacity reduction in unit time phenomenon .
Fig.1 The actual capacity of the change process * Indicates the accident occurred during the evacuation to record data Connection fitting as sinusoid Fitting function 200 * sinx +1100 Graphical analysis : The figure shows a traffic accident occurred in the period between the withdrawal of an accident in which the cross-section of the actual capacity of the change process roughly , into periodic sinusoidal variation due to periodic changes in lights , when the red light traffic reduced, but not zero, which phase is not due to a right turn signal control .
Disadvantages model 1 , ( 1 ) in problems due to too little scientific data , and there will be some errors in the manual count, sometimes not guaranteed to be accurate , such as the time interval may be a few more seconds, resulting in the number of multi- car actual values ​​, resulting in an error . 2 , and, of course , the model also has shortcomings, narrow range of applications , but also for the model due to the length of a car occupied by a lack of data , the results obtained from the video analysis of large errors 7 .

Acquired data are processed in the Matlab software and in the user interface of the Qualisys software.
Data acquired by strain gauges contained a lot of noise.
Script calculates tension, bend in two perpendicular planes and resultant with its orientation from data acquired from four independent Wheatstone quarter-bridges.
Data captured by the Qualisys system were processed in the user interface of the Qualisys software.
This hypothesis is proved by the data measured by the Qualisys system.

The average crystalline sizes of the TiO2 nanoparticles were determined from the XRD data using the Scherrer equation as follows [22]: d = 0.9λ/(β cos θ) (3) Where d is the average crystallite size, λ is the wavelength of incident X-ray, β is the FWHM of the peak, θ is the scattering angle.
The higher the deposition of the nanoparticles, the more the reduction in tensile strength.
Consequently, this disruption leads to a slight reduction in both the tensile strength and strain of the fabric.
The most substantial reduction of 78.99% (from 16.11 to 3.38) occurred after 24 hours of solar light exposure.
Solar radiation, on the other hand, resulted in a somewhat greater reduction of 83.48%, as the ∆E* dropped from 20.75 to 3.42.

The nitride layer provided equivalent oxide thickness (EOT) and gate leakage reduction.
The other impact of nitrogen incorporation on device performance is the reduction of mobility.
Figure 11: Hydrogen content reduction in the nitride film through a thermal annealing process.
The leakage reduction with JVD nitride is more significant in the case of thinner dielectric.
Figure 16: TOFSIMS data from ~5 nm nitrided N2O grown oxide showing a sharp N signature at surface with a full-width-at-half-maximum (FWHM) of ~ 0.7 nm.