Search results

Further increasing machining requirements resulting from strategies such as lightweight construction, downsizing, and friction reduction are pushing conventional honing methods to their technological limits.
A study of potentials showed that a shape-optimized cylinder bore in a 4-cylinder passenger car engine has a fuel saving potential in the range of 1.1% to 1.5%. 25% to 30% of this potential result from a reduction of blow-by losses and piston skirt friction and 40% to 50% from reduced piston ring friction [1].
In the general trend towards weight reduction and minimizing installation space, any increase in rigidity achieved by using more material appears impossible.
The exact material removal data must be known, which requires a complex measuring strategy based on a reference point system.

Shuai [11] and so on, which can effectively avoid the numerical data distortion caused by geometric modeling, and it is more similar to the actual corrosion defect on the geometrical features.
A Case Study The measured data of one oil field was taken as the basic data to analyze the influence of the defect dimensional parameter on the residual strength of the oil tube under varied service loads.
The service load of the oil tube is determined by the axial load and the internal pressure together, and the working condition based on the field data is shown in Table 1.
Herein referencing the basic data of the oil tube, the maximum equivalent stress induced by various axial stress was studied with three internal pressures: 15, 20 and 25MPa.
Valentini, On the failure pressure of pipelines containing wall reduction and isolated pit corrosion defects, Comput.

The identity of models and real objects is established as a result of solving a series of inverse problems and is confirmed by a water balance discrepancy of 0.003%, the convergence of water inflows in separate layers with a deviation of 5 – 12.5% and the coincidence of groundwater surface levels on models and data of a mode network.
To create arrays of initial information, maps of the surface hypsometry, maps of roofs and bottoms of coal seams, hydrogeological maps for various time periods, data on filtration parameters of bearing rocks, and results of routine observations were used.
The final evaluation of identification results is performed according to the object operation data, i.e. drainage contours are defined according to the plans of mining operations in periods where characteristic changes in water inflow values are recorded, and also the data of mode observations of groundwater level are available (Table 1).
The convergence of a model position of a level surface of the Buchak aquifer with the data of long-term mode observations obtained during the calibration, as well as the convergence in magnitude of water inflows, made it possible to proceed to the solution of predictive tasks of operation until 2020 and subsequent flooding in various options.
It should be noted that the cone of depression has shifted to Dneprovskaya mine field with a reduction value of up to 11.3 m.

These electrode materials include materials based on the amorphous nickel matrix containing TiO2 as its crystalline phase and non-stoichiometric titanium oxides which, thanks to their coexistence in the layer, make up effective oxidation-reduction pairs that catalyse the evolution of hydrogen.
It is beneficial when the potential of the base electrolyte decomposition is much more negative than the reduction potential of the reagent [6].
The sodium hypophosphite present in the suspension bath serves as the nickel matrix amorphizator and undergoes the same process of reduction on the cathode.
While comparing the values of the rate constants and the exchange current density with literature data [2,3], one can observe that the values included in Tab. 1 are lower.
Based on the tests of the electrolytic evolution of hydrogen that were carried out, a reaction mechanism of hydrogen electroevolution with the participation of the non-stoichiometric titanium oxide consistent with a two-step Volmer-Heyrovský's mechanism can be proposed [6,12,13]: For the Ni-P+TiO2+Ti10O19 dispersion layer: Volmer' step: Ti10O19 + H2O + e- ® Ti10O19H + OH- (5) Heyrovský's step: Ti10O19H + H2O + e- ® Ti10O19 + H2­ + OH- (6) 2H2O + 2e- ® 2OH- + H2­ (7) For the Ni-P+TiO2+Ti7O13 dispersion layer: Volmer's step: Ti7O13 + H2O + e- ® Ti7O13H + OH- (8) Heyrovský's step: Ti7O13H + H2O + e- ® Ti7O13 + H2­ + OH- (9) 2H2O + 2e- ® 2OH- + H2­ (10) For the Ni-P+TiO2+Ti4O7 dispersion layer: Volmer's step: Ti4O7 + H2O + e- ® Ti4O7H + OH- (11) Heyrovský's step: Ti4O7H + H2O + e- ® Ti4O7 + H2­ + OH- (12) 2H2O + 2e- ® 2OH- + H2­ (13) At the Volmer's step, reduction

With such a large body of research on the subject of permeability in mushy zones, end-users of the data (primarily modelers) are confronted with a substantial synthesis problem.
The intermediate region (0.65 < fL < 0.75) is an interpolation between the endpoints of the best fits to the two data sets which unexpectedly do not merge.
Some of the simulation data include flow simulations using images taken from metallographic sections of dendrites to define solid and liquid regions [26].
Figure 6 shows the longitudinal permeability data for 14 000 simulations, the best fit correlation found for the data (Eq. (9.10) in [31]), and a fit for a square array of cylinders. from Mityushev and Adler [40].
• The data are heteroskedastic: permeability variance is a function of fL

To ensure the quality of the source data of the case study, we took the triangulate method to collect data from multiple information sources.
The study collected data mainly through primary survey and secondary survey, in aspect of primary survey, since the Quanta Computer headquarters is located in Taiwan, and therefore one-hand data gathered in the study from Dafeng (Chongqing) Computer Co.
Specific data source as follow: interviewed with internal staff and mid-level leaders in enterprise and important client; contacted Quanta Computer headquarters by e-mail to supplement the relevant issues.
Secondary data includes the following sources: directly read internal newspaper, opened files and other business documents of Quanta Computer and extracted contents about enterprise adaptability and client relationships; searched news, articles and publicly available data about Quanta Computer form Internet; chose analysis reports, comments and document material from other companies about Quanta Computer.
In terms of the customer value of ingredient brand, this part of the data coding result showed that there were 18 items support the point of view that procedure adaptation of Quanta Computer impact customer value.

So, many creep rupture lifetime data are needed to use the time fraction rule.
The solid line in the figure is the uniaxial push-pull data of solid bar specimens with the principal strain ratio of -0.5.
A factor of 2 band is based on the data of bar specimens in the crystal orientation of [100].
Most of the data are estimated within a factor of 2 band in the principal strain ratio range of -1≤f ≤1, whereas some of the data are located outside of the band.
Some of the data are underestimated and overestimated and the maximum scatter reaches to a factor of 7.

In view of the data exchange portion, compared to traditional EDI ,XML has more advantages.
Two levels of the structure are not sufficient to meet the diverse needs and the complexity of the application system of business process requirements, therefore, based on this and construct the user layer, data layer and the application layer of the three layer structure of information system.
User layer is in the client browser for HTML, with Scripting, Java operation,whch is used to complete the user and application level of treatment results between the mutual communication, and interaction between data.All can be directly transferred to the requester of the corresponding database.Mainly on application layer,the data layer is to used to provide the data source.which mainly adopts distributed structure[15].
The application layer, is mainly used for the user layer application request related to treatment, to business data, calculations were completed, but also the data processing results feedback to the user.
And the use of electronic commerce accelerates effectively the product and service information storage, data analysis and transmission, which can not only avoid the limitation of time and space, but also can effectively and quickly spread all the world.

Step 1: Data preprocessing The major tasks in data preprocessing include (i) remove missing values, (ii) smooth noisy data, (iii) remove outliers, and (iv) resolve inconsistent field [4].
SVD is examines the entire set of data and rotates the axis to maximize variance along the first few dimensions.
In a dimensionality reduction approach, SVD achieves higher precision than other transforms.
Step 1: Data preprocessing and attribute selection We practically collect semiconductor industry data with 62 enterprises of Open Source Information Retrieval Systems dataset with financial ratio from January 1, 2008 to December 31, 2008 in Taiwan.
Data Mining: Concepts and Techniques.

XRD data for sample produced at 33.3 Pa for: a) T = 923 K and b) T = 898 K.
The SE data (Fig. 3) confirms this improvement where the imaginary part of the dielectric constant (�2) is enhanced.
Fig. 2 shows the XRD data of two samples deposited at different p at 898 K.
XRD data for samples produced at 898 K for: a) p = 13.3 Pa and b) p = 40 Pa.
SE and dark conductivity data for the sample produced at 923K and 33.3 Pa.