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The shear cutting process commonly used in production causes high strains on the zone affected by shear cutting. [2] This deformation at the edge of the component causes work hardening, which also leads to a significant reduction in residual formability.
Therefore, it is not possible to collect reliable data about edge crack sensitivity.
In order to collect edge crack sensitivity data relating to a material or specimen, a new edge crack testing method needs to be developed and should fulfill the following criteria: · Frictionless testing method · No strain gradient · Uniaxial tensile load on cross section · Possibility to differentiate between the failure modes of ductile fracture and mechanical failure due to edge cracks · Scatter-resistant evaluation method with high repeat accuracy · Cost-efficient and simple production of specimens combined with a reliable preparation for the specimen’s edges Edge-fracture testing methods Figure 1.
In the next step, the Aramis measurement data are evaluated and parameters like major and minor strain or sheet metal thinning can be visualized as a function of the image rate.
In addition to this, the experiments show a strong correlation between the mechanical separation process (milling or shear cutting) and the reduction of the remaining forming potential.

The lattice structure design for rocket tail heat dissipation and the sandwich structure for spacecraft weight reduction are two typical engineering application cases of lattice structure bionic design [8-10].
Then the model data was exported as a compatible stl data file to 3D printer.
On the other hand, compared with fully solid cylinder with the same size, the mass of Gyroid TPMS has about 76% weight reduction.
The Gyroid TPMS has also 76% weight reduction compared with the solid model
Data Availability Statement: The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

The equilibrium data did not fit the Langmuir isotherm with values of 0.287 and 0.021 for clay and silt soil respectively.
Using the nonlinear method the equilibrium data gave good fit for Radke-Prausnitz, Sips, Temkin and Redlich-Peterson isotherms.
Modelling of sorption equilibrium data is important for predicting and comparing biosorption performance [10].
The values of r2 were very low and the corresponding standard error of the estimate very high, these show that the equilibrium data does not fit the Langmuir isotherm.
· Using linear method Freundlich isotherm gave the best fit for the adsorption data for both clay and silt soil followed by Temkin and Redlich-Peterson isotherm but the fit to the adsorption data using Langmuir isotherm was unsatisfactory

MTT Reduction Assay.
In order to obtain the mathematical data beside the inverted microscopic observations to illustrate the effect of CdTe QDs to cancer cells, we use the RTCA methods here.
Thus, the curves give the precise data of morphology of the cells.
Summary In this report we detected the cytotoxicity of nanoscaled CdTe QDs materials, form the intuitionistic micrographic images to mathematic data, which provided the morphologic changes and livability of cancer cell A549.
The data showed us under lower concentrations below 0.18µmol/L, CdTe QDs shows minor toxicity, thus provide the nanomaterials an potential for more applications, and the following drug carrier experiment illustrated the CdTe QDs can act as one member of drug delivery carrier to transfer antidrugs to enhance kill effect, and act as the fluorescence probe for its spectrum property simultaneously.

Recently, because of automated robot welding, vehicle reduction weight, spot weldment, which are the electric resistance welding of high tensile strength steel(HS40R) and galvanized steel (EZNCEN) by anti-corrosion, has become an important subject in the lightweight in the automotive industry[1].
Objective functions are based on the estimation fitness of each data.
Experimental results are used Kim’s data[4].
Fig. 2 Tensile shear strength of welding condition by GA Fig. 3 Indentation depth of welding condition by GA Fig. 4 Nugget size of welding condition by GA Fig. 5 FEM modeling Results The analysis results were compared with the measurement results obtained from actual test data[8] to verify the fatigue analysis, as shown in Figs. 6 and 7.
As shown in the figures, the data was obtained from program and the strength of fatigue test displayed similar result.

Band filter is based on the principle of decimation and interpolation filters, which is a special low-pass FIR digital filter, and has filter passband and stopb and as compared to one-half of Nyquist frequency symmetry, hence nearly half of the filter coefficients is 0.Because part of the coefficient which is 0 ,needn't consume operation in the process of computing , the computation was reduced by half, hence the actual filtering process has the substantial reduction .Therefore, because of efficient computing, real-time relatively strong, half-band filter which in multirate signal processing has a particularly important place, and has been widely used., is conducive to achieving real-time filtering operation.
provides FIR half-band filter (HB filter) function package-firhalfband,which is easy to design and complete the half-band filter.it is used as follows: firhalfband(n,fp,‘dev’): Design of a n-order equiripple FIR half-band filter,Where n must be an even function, fp decided to pass with the normalized frequency,0data
FIR half-band filter designed with MATLAB Verilog hardware description language is used in the ISE software to implement a 8 order semi-parallel structure of half-band decimation filter(4) , which is based on LUT IP Core and DSP48 IP Core, and taken at 2, 16-bit wide .Data rate is 30.72MHz, and the system operating frequency is 153.2MHz.Filter coefficients as follows: [0,-0.1095,0,0,3194,0.5000,0.3194,0,-0.1095,0] As can be seen from the title,8 order filter has a total of nine coefficients, 4 coefficients of which is 0, the remaining only 5 need to complete by the multiplication factor.
Clock frequency is 4 times the data rate, and a multiplier can be reused 5 times, so a total of only DSP48 will be able to complete the filtering process .Its essence is to complete step 2 of the FIR filter.
Summary Firstly, this article use MATLAB function package firhalfband to implement a half-band filter, they can be seen that the data rate decreases by half from The simulation figure, to prove the feasibility .Secondly, then designe a half-band filter with FPGA, gives a detailed Solution, get RTL circuit complete the simulation of the whole system.

It mainly focuses on dealing with finding out main component through analyzing intricate relations among things so as to reserve as much as possible the information of the original variable, not only simplifying the intricacy among things, but also effectively conducting quantitive analysis on the statistical data and thus disclose the inner relations between variables, i, e. securing the very feature and development law of things [7].
This paper aims to figure out the weight of the evaluating indicators by taking the method of principle component analysis while reducing the dimensions of variable fussy analysis, details are as follows: （1）suppose there is samples, with each samples carrying indicator vectors, which constitutes a data matrix: , represents jth indicator of i sample; （2）calculate the correlation coefficient matrix and its eigenvalue ; （3）evaluate eigenvectorof the correlation coefficient matrix; （4）according to the cumulative rate, determine the number of the principal component; （5）besed on formula（1）calculate the factor load capacity； （1） Among which, represents coefficient vector, represents standard deviation of, represents kth eigenvalue
Comprehensive evaluation of low carbon development in Yunan province Evaluating factors and its grading standard refer to table 1 of cited reference [6], and the bellowing is the computational procedures of the comprehensive evaluation. 2.1 Figuring out the weight sets by taking the principal component method Firstly, counting the correlation coefficient matrix of evaluating factor data and its eigenvalue, Secondly, counting the eigenvector of correlation coefficient matrix and factor load capacity , Lastly, based on formula (2), normalized processing the factor load capacity to get the weight set, Hereby, the weight set of the variable fussy evaluation us obtained, Meanwhile, only the first four nonzero indicators will be taken in the variable fussy evaluation. 2.2 The evaluating process of the variable fussy method Firstly, according to table 1 of the cited reference [6], the low carbon economic indicators’ eigenvalue matrix of Yunnan province (2005-2009
When ,,while ,,,, so , is located at the right side of , and , thus the formula（6） is selected, and put all relevant data into this formula, we can get ,and from formula （7）, is deduced, similarly,, =1, 2,…, the relevant membership vectors of 10 pairs of grade 1 low carbon economy indicators is .
In this paper, the low carbon economy evaluating result is as equal as that of 2005, which changes the high carbon development tendency , which sustains to 2008 ad keep up with the call for energy saving and emission reduction.

Environmentally, this reaction is appealing due to the reduction of CO2 and CH4 emissions as both gases are contributors to the greenhouse effect.
The data of the bond length showed in Fig.5 indicates that 1C and 4O get close to each other, forcing the C-O and the C-Pt bond broken.
The enthalpy change and activation energies data of key reactions are listed in Table 1.
Table 1 The thermodynamic data of pivotal reactions over M Mental Step Positive reaction activation energy Ea+[kJ·mol-1] Negative reaction activation energy Ea-[kJ·mol-1] Reaction enthalpy ΔH[kJ·mol-1] Pt 1 120.1249 186.7707 -66.6458 2 277.3350 233.8429 43.4921 3 313.4279 276.3715 37.0564 4 263.3542 127.4737 135.8805 5 107.7797 15.6008 92.1789 Rh 1 97.8317 89.6795 8.1522 2 428.5695 128.5895 299.9800 3 125.3365 29.9150 95.4215 4 356.6490 175.4023 181.2467 5 385.9654 87.3953 298.5701 Ru 1 86.3267 101.6938 -15.3671 2 389.7645 164.7087 225.0558 3 111.7127 89.2594 22.4533 4 395.6037 218.6970 176.9067 5 594.7931 344.4299 250.3632 From Table 1, similar to the reaction over Ni it is known that the positive reaction activation energy of step 3 of the reaction over Pt is the largest (313.4279kJ·mol-1) one.
conclusions The methane’s dehydrogenation and CH4/CO2 reforming over Pt, Rh and Ru has been researched through theoretical calculation and compared with the data of Ni catalysts.

The specific mesh generation as follows: (1) Input the CAD data: read PRO/E 3D models of various parts into ANSYS software from the data interface
In the Figure 4 and Figure 5, the blue curve represents the simulation data, the red curve represents Robert’s experimental data.
The reduction of the kinetic energy is nonlinear.

The chemical composition (except Fe) and mechanical properties [3] of 45 # steel are as follows : Table 1 The chemical composition of 45 # steel Chemical composition C Si Mn P S Proportion（%） 0.42～0.50 0.17～0.37 0.50～0.80 ≤0.040 ≤0.045 Table 2 The mechanical properties of 45 # steel Mechanical properties Tensile strength (MPa) Yield strength (MPa) Percent elongation (%) Percent reduction in area(%) Impact energy (J) Parameters ≥600 ≥355 ≥16 ≥40 39 Metal Fatigue crack growth is concerned with crack plane orientation of the specimen.
According to the experimental results and existing data processing experience, We could safely predict the existence of this curve, and the force and the shape of the sample did not affect the existence of this article curve within a certain range.
The relationship between eI/P and a/w Here, we used the least squares method to process data.
In this paper, the maximum error of the measured which is the difference between the equation (1) and the test data is 5.73%.
Therefore, it is considered to be sufficiently accurate according to the test data fitting equation (1).