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The material data are then used to design a real electro-hydroforming operation.
The predictive quality of the simulations depends on the model representativeness and on the input data accuracy.
Even if more data are necessary to plot the whole forming limit curve, it is clear that the forming limits are increased with high strain-rate conditions.
These results contribute to validate the multiphysical simulations, as well as the material characterization in terms of constitutive behavior and formability. 38% thickness reduction Figure 6: 3D simulation of electro-hydroforming – contours of thickness reduction Figure 7: Experimental failure with the initially flat bottom – Al5657 Figure 8: Experimental forming with the initially flat bottom – Al1050 Conclusion A characterization method based on an electromagnetic tube expansion test has been developed and applied to aluminum 1050 and 5657.
A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, Proceedings of the 7th international symposium on ballistics, Hague, Netherlands, pp.541-547, 1983

In this way NH3 sensors with low cross sensitivity to NOx have been demonstrated as potential sensors for control of selective catalytic reduction (SCR) of NOx by urea injection into diesel exhausts.
During Selective Catalytic Reduction of diesel exhausts, NOx is reduced by NH3 in the catalytic converter.
To the right in the figure the data from the sensors has been evaluated using PCA (principal component analysis).
This is a chemometric method that may be used for extracting information from a multivariate data set.
All data points are projected onto a plane spanned by the two orthogonal vectors, called principle components or PCs, pointing in the two directions of highest variance among the data [8].

During the following anodic process, only reduction peak is observed, which can be assigned to the reduction potential ER.
Hg/HgO of all the electrodes and fitted EIS experimental parameters Electrode CV data EIS data EO (mV) EOE (mV) ER (mV) EOE - EO (mV) EO- ER (mV) Rs (Ω cm2) Rt (Ω cm2) Zw (Ω cm2) Qc (F cm2) L 621 659 268 38 353 2.552 1.021 0.2587 2.758 B1 556 595 293 39 263 1.7956 0.1854 0.1764 1.8543 B2 553 595 292 42 261 1.7845 0.1645 0.1487 1.6345 B3 554 597 297 43 257 0.1445 0.0234 0.1275 0.6864 From Table 1 we can see that the electrodes with ZnO show significantly lower EO and higher ER than [Ni4Al(OH)10]OH electrode.
A mode of circuit is inserted in Fig. 3c to fit these experimental data, and the fitted experimental parameters are shown in Table 1, in which Rs is the ohmic resistance of the alkali electrolyte; Rt is the charge transfer resistance of the electrodes; Qc is a double layer capacitance; Zw is the Generalized Finite Warburg impedance of the solid phase diffusion.
The electrochemical performances obtained from the charge-discharge tests, CV and EIS data indicate that the electrodes with ZnO show higher discharge capacity and oxygen evolution potentials, lower double layer capacitance and charge transfer resistance than that without ZnO.

Fig. 1 XRD patterns of pyrocarbons Fig. 2 XRD patterns of pyrocarbon fluorides The characteristic data of the pyrocarbons and their fluorinated derivative are given in Table 1.
But the discharge potential of other samples from carbon with Tg>1600℃ have a slight decline during the process of electrochemical reduction and the average voltage is evidently lower.
The data of electrochemical tests (at 0.01C discharge rate) were listed in Table 2.
On the other hand, according to the data of IR spectra, more >CF2 groups were formed with Tg decreasing.
The >CF2 group is inactive for electrochemical reduction [9], suggesting that the loss of specific capacity of sample could be attributed to over-fluorinated groups formed at surface of samples.

The use of wireless technology in industrial automation offers a number of potential benefits, from the obvious cost reduction brought about by the elimination of wiring to the availability of better plant information, improved productivity and better asset management.
The multi hop network will provide the reliable communication to central control unit and FPGA will provide the reconfigurable high speed data communication.

The data is then compared to proven systems: the Walter+bai ag testing machine LVDT sensors and a HBM data acquisition system.
The data is sent in an asynchronous connection every minute.
However it may lead to data mining if more systems are measuring together.
Small data loss is apparent from the HBM data acquisition software.
Data acquisition executed without any major errors, resulting in no data loss.

Most of existing studies on rock damage are focused on investigating the macroscopic stress-strain relationship, and only limited research is available on analyzing the microscopic crack propagation due to measurement difficulty, cumbersome data reduction procedures, and complexity of damage in micro-level.

This new concept can be developed on the basis of intelligent production technologies and integrated systems as well as extensive use of the IT, AI, simulation, quality autonomation, robotics, advanced metrology and advanced engineering data exchange techniques.
This new concept can be developed on the basis of intelligent production systems and multi functional integrated factory model [4] as well as extensive use of the IT, AI, simulation, intelligent quality automation, robotics, advanced metrology and advanced engineering data exchange techniques.
Increasingly stronger demand for products with shorter innovation cycles are placed on the present generations of manufacturing systems, resulting in the reduction of life cycle and diversity in the number of variants of products [5].
The expectations related higher product quality and environmental protection are even more increased during the modern manufacturing of machine industrial products, which is why the demand for the reduction of environmental load is becoming predominant in production [6].
The intelligent networking of devices with other data systems is the fundamental requirement for the next generation factories of the future.

Phase transformation and material property data available within SYSWELD were used for this analysis.
These analyses considered a simple autogenously welded beam and make use of ferritic material data provided within SYSWELD [1].
Material Properties The material properties and phase transformation data used in this study are contained in the literature that accompanies the SYSWELD [1] software.
This data relates to a carbon steel equivalent to SA 516 Grade 65 resp. 70.
However, it would be necessary to ensure that any reduction is residual stress is not compromised by a degradation in material properties e.g.

Therefore, carbonate decomposition and silicate reaction is the main part of batches heat consumption, the optimization scheme for materials has a significant effect on energy saving and emission reduction.
Each batch was respectively tested 5 times so as to obtain more accurate test results; thirdly, the obtained experimental data were processed and then plotted as a DSC curve.
According to the results, the appropriate materials is selected to achieve a significant effect of energy saving and emission reduction.
Therefore, the results reveal that the effect of petalite and lepidolite on melting is better, meanwhile their heat consumption is the least, albite is followed, and spodumene is the worst, which provides a reference to energy saving and emission reduction of high alkali aluminosilicate glass.