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Abstract: This paper proposes the reduction of warping after the machining of alloys of brass with lead.
The data were obtained using Hexagon software, Model PC DMIS 4.2.
This indicates that the heat treatment influenced the reduction of warping in the piece.
In the machining process this leads to a reduction of the friction coefficient between the tool and the material; it creates discontinuity which results in fragmentation of the chip and reduces cutting forces and tool wear.
The grain size reduction agrees with studies performed by Fontaine and Keast [5] who found that the addition of lead in the alloy significantly changes the microstructure of the material, and is the main difference in the grain size, which is ten times smaller compared to brass without lead.

The buyers purchase the emission reduction quota distributed by the emissions trading scheme under the "cap and trade" system.
It is the first and only voluntary greenhouse gas emission reduction transactions, as well as legally binding emission reduction commitment to the organization and the market pioneer trading platform in North America, and the first emissions registration, reduction and trading system which includes all six kinds of greenhouse gas on the globe.
The process of transactions and data from the internal system records, but not made public.
Members exceeded emission reduction targets can be stored.
Relevant data shows that China's current annual emissions of greenhouse gases over 10% of the global total, ranking second after the United States in the world.

During reduction, the decision table will be eventually a judgment rule of spam[6].
Decision table reduction includes attribute reduction and value reduction [7].
And the general value reduction algorithm is chosen for value reduction.
This threshold is determined as 0.8 by repeated experiments. 2.Experiments 2.1 Data Set The data sets of e-mail mainly includes Ling-Spam corpus which are provided by the Androutsopoulos and PU1 series corpus, Spam Assassin corpus and Spambase corpus, etc. [8].
Analysis on attribute reduction strategiesof Rough set [J].

A purposive sample of 500 taxi drivers was selected and data analysis was conducted using R statistical package.
Per Driver and Vehicle Licensing Authority (DVLA) data, there are approximately 10,000 registered commercial drivers in the city including those driving taxis, minibuses (trotro) and other commercial vehicles.
Data were collected through interviews using closed-ended questionnaires.
Data analysis was performed in R Studio, where the percentage distribution of the different fuel types used by the taxi drivers was elicited.
A review of techno-economic data for road transportation fuels.

In this study, four different gas mixture ratios of 4: 1, 3.5: 1, 3: 1 and 2.5: 1 were adopt for experimental analysis, specific experimental data are shown in the table below: Table 1 Data of molar ratio of H2 / SiHC13 4:1 No.
Running time (h) Weight (kg) Electricity consumption (kw·h/kg-si) Conversion rate % Deposition rate (kg/h) 1 130.1 7910.3 58.8 10.23 60.81 2 128.6 7798.0 60.4 9.78 60.63 3 129.8 7826.3 59.2 10.28 60.28 4 130.5 7893.4 57.7 10.16 60.49 5 127.8 7695.2 58.0 10.19 60.12 6 129.4 7870.2 75.2 10.23 60.81 7 129.8 7481.5 60.1 9.73 57.58 8 130.0 7654.5 61.0 10.41 58.86 9 130.3 7387.6 59.7 10.11 56.73 mean 7910.3 61.0 10.12 59.59 Table 2 Data of molar ratio of H2 / SiHC13 3.5:1 No.
Running time (h) Weight (kg) Electricity consumption (kw·h/kg-si) Conversion rate % Deposition rate (kg/h) 1 132.9 8173.3 51.51 11.81 61.51 2 131.9 7904.8 52.55 11.02 59.92 3 130.2 7928.8 52.13 11.11 60.90 4 129.2 7842.3 51.60 11.59 60.71 5 128.9 7803.4 51.22 11.34 60.55 6 130.5 7992.9 52.23 11.86 61.24 7 130.2 7938.4 53.86 11.33 60.96 8 129.5 7854.5 52.54 11.25 60.65 9 128.9 7718.4 53.02 10.98 59.88 mean 7992.9 51.87 11.46 60.7 A large amount of experimental data shows that reducing the mixture ratio can greatly reduce the electricity consumption for reduction, thereby reducing production costs.
At the same time, the amorphous silicon solid particles generated will wash the reduction exhaust gas pipeline.
Influencing Factors of Electronic Grade Polysilicon in Reduction Process [J].

Fig. 2a displays the ϕ2=0 and 45° sections of the ODF which was obtained by a GIA simulation (cf. infra) of a 70% rolling reduction applied on a random texture of an FCC material.
a (levels: 1-2-4-6-8) b (levels: .8-1.0-1.3-1.6-2.0-2.5-3.2) c Fig. 2: (a) Calculated FCC rolling texture obtained by simulating a 70% rolling reduction with the GIA model, (b) calculated BCC transformation texture obtained by applying the K-S transformation rules on the texture of Fig. 2a, (c) typical BCC transformation texture observed after transformation of the deformed austenite structure. experimental data on the high temperature austenite texture prior to transformation or either to the lack of understanding of the transformation mechanism.
After a cold rolling reduction of 70% the conventional α/γ fibre texture of Fig. 3b is measured.
In this respect there is also a need for still more extensive experimental data gathering.
These data seem to suggest that the texture increasingly intensifies with rolling reductions as high as 99.9%, which agrees well with the conventional Taylor or Sachs type models which predict an ultimate stable orientation for a given deformation mode.

Use the structured hypergraph to conduct formal description of parts and modules information and establish structured model; then fuse constraint information of the structure model based on the multi-scale data fusion technology, and provide constraint data source for changed coefficients of the components and modules.
At the same time fusing the components and modules model data by introduce the multi-scale fusion technology, which provide important constraint data source for the variant design.
One important aspect of multi-scale structured hypergraph-based modeling process is to structure the variety of physical objects and data objects and their linkages.
The hypergraph structured is a continuous abstract and reduction process.
Then, conduct multi-scale data fusion to correlation matrix A and collection matrix Q based on multi-scale algorithm which will be represented in next section.

Shape Optimization One of key aspects of sustainability is reduction of primary material consumption.
Aggregated LCA results: Aggregated impact data for specific life cycle phases construction are presented in Table 1.
Table 1 Aggregated impact data of construction life phase The higher water consumption of V3 (subtle HPC frame) in comparison to V2 (precast RC frame) in construction life phase (Table 1) is connected with production of lightening elements from wood shavings concrete.
Fig. 9 Aggregated data – primary energy consumption per unit area of all alternatives in MJ Figure 10 presents the comparison of assessed alternatives. 100% is represented by V1 (monolithic RC frame structure from C30/37).
Fig. 10 Aggregated data – primary energy consumption per unit area of all alternatives in MJ.

The phase analysis of the anode before and after reduction were obtained using a Bede D 1 X-ray Diffractometer by scanning at a rate of 0.05° per step length with the retention time per second in the range 20°-70°; the data were recorded using a computer.
The thermal expansion coefficients of the samples were measured in air from 50 to 900 ℃ at a heating rate of 5 ℃·min -1 using a dilatometer (DIL402C/3/G), and the data were automatically recorded using a computer.
The size of the smaller pores caused by the reduction of metal oxide is less than 1 µm.
Fig.1 SEM of the Cu4 anode after reduction 20 40 60 Ni Cu 2θ (C) SDC CuO Ni0.75Cu0.25O Relative Intensity(a.u.)
The main phases of the anode before reduction. are SDC, Ni0.75Cu0.25O, and NiO ,The main phases of the anode after the reduction at 700 ℃ are Cu, Ni, and SDC, which shows that the reduction is complete.

Finally, we also analyze the reduction potential of CO2 emissions by numerical results.
The data used in calculation is based on statistic data and the data in 2007 and previous years.
According to these data, we can estimate the maximal annual production capability about the pig iron, crude steel, hot rolled steel and cold rolled steel, which are 11650420 tons, 11898000 tons, 11200000 tons and 4500000 tons, respectively.
If CO2 emissions can be charged in future, CO2 emissions reduction also can make some profits finally.
However, the current emissions reduction is not very large compared with the total emissions amount.