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., LTD, Rizhao 276800, Shandong, China atpchbr@163.com, bkangylin@ustb.edu.cn, cr030559@rizhaosteel.com, dbeikeqinzhe@126.com, etribe1987@163.com, f794230075@qq.com Keywords: Achievement, Endless strip production, Productive data, Green manufacturing.
The equipment and technology characteristics of endless strip production line in Rizhao steel were analyzed and the achievements of endless strip production in Rizhao steel were illustrated with detailed productive data in 2017.
This article mainly exploited the detailed productive data of endless strip production in Rizhao steel to illustrate the achievements of ESP in reducing costs, good performance, green manufacturing, and to support the promotion of endless rolling technology.
These data showed that the potential of ESP in energy saving and emission reduction was very huge and demonstrated the characteristics of green manufacturing.
The energy saving and the emission reduction are also a prominent advantage of ESP.

The Al 7075 alloy plates were solutionized and cryorolled with thickness reduction of 35% and 90%.
The cryorolled Al alloys upon 90% thickness reduction exhibit ultrafine grained microstructure.
The annealed Al-Zn-Mg-Cu alloy plates were subjected to cryorolling to achieve 35% and 90% thickness reduction.
The reaction peaks observed in the present investigation are similar to the published data in the literature for the similar alloys [12-13].
Fig. 2(b) shows the DSC plots of the starting ST material and CR materials at a thickness reduction of 35% and 90% reduction, at a heating rate of 40 o C.

Power data were gathered for one month to establish the baseline consumption.
The data collected for the base line was from July 29, 2008 to August 21, 2008 after the meters were installed.
Updated data for the total HVAC system electricity consumption were gathered after the implementation, from August 21 to September 6, 2009 and monitored for another two years after project completion.
Figure 2 HVAC system demand The 15 minutes interval data for electricity generation by the solar panel were collected for a whole year in 2010.
However, the reduction on the peak demand reduction is moderate and a big proportion is contributed by TES.

Interval Granules in Incomplete Information Systems Xiaohui Chen1,a，Renpu Li1,b,Zhiwang Zhang1 1School of Information Science and Engineering , Ludong University, Yantai 264025, China acxh001213@163.com, blrp0109@163.com Keywords: Incomplete information system, Interval granule, Nested sequence, Precision Abstract：Rough set theory is an efficient mathematical theory for data reduction and knowledge discovery of various fields.
Introduction Rough set theory[1], developed by professor Pawlak in 1982, is a new mathematical theory to deal with imprecise, incomplete and inconsistent data.
More studies based on interval granule will be given for the attribute reduction and rule extraction.

To minimize the revision of old scheduling scheme in DRCJDSP-HW, a hybrid dynamic scheduling algorithm was proposed based on the chromosome reduction mechanism and the scheduling optimization of local job in stages.
(4) l Searched the appropriate position to be inserted of gene in multidimensional local chromosome when chromosome reduction according to Eq.(5) and Fig. 3
(5) Fig. 3 Gene Reduction Search l Since the ant colony optimization mechanism may allocate the same time window for different task, the paper introduced a reverse gene insert mechanism for which realized chromosome reduction according to the reverse sequence of local chromosome to guarantee that the earlier scheduling gene had the preferential right of time window.
Among them, the operation patch setup time, standard processing time, loading/unloading time of one operation were expressed separately with the data of “(A)B(C)” in table 1, the empty mean the operation couldn’t been processed on that machine.
Summary This paper constructed DRCJSP-HW dynamic scheduling model and introduced a DRCJSP-HW three-tier dynamic scheduling system based on local time window scheduling which including dynamic disturbance analysis, dynamic disturbance evaluation and dynamic scheduling algorithm: the dynamic disturbance analysis process established data basic for follow-up dynamic scheduling; the dynamic disturbance evaluation process utilized competitive bidding technical of time window to evaluate the influence of disturbance; with the HGAACO dynamic scheduling algorithm based on reverse reduction mechanism of chromosome and scheduling optimization by stage of local task, the minimum revision dynamic scheduling scheme was obtained in accordance with the combinatorial optimization of local task and time window void.

Research on Viscosity Reduction and the Transportation at Atmospheric Temperature for Heavy Oil with Microwave Radiation Technique Huayi Jiang1, a, Yinan Zhang1,b , Aijun Wei1,c and Xu Wang1,b 1Xi’an Shiyou University, College of Petroleum Engineering,Xi’an , 710065,China ahuayij@163.com, bzhangyinan19@126.com, cwajmail@xsyu.edu.cn Keywords: heavy oil microwave transmission mathematical model Abstract.
The technology of heavy oil viscosity reduction by using microwave 1.Experimental study of using microwave on the rheology of heavy oil viscosity change.
23.6 19.7 28.4 after 32.7 23.4 20.9 23.0 Dagang before 33.3 40.8 14.8 11.1 after 38.1 38.6 14.1 9.2 Liaohe before 24.8 31.3 21.0 22.9 after 26.3 33.2 20.1 20.1 liaohe（*） before 24.8 31.3 21.0 22.9 after 26.7 30.9 20.4 22.0 This sample is dehydrated group composition of heavy oil by the data in Table 2 shows, the crude oil asphaltene concentrations of TuHa, ShengLi, LiaoHe and DaGang are reduced, saturated Hydrocarbons, aromatics content increased.
The influence of asphaltenes on the viscosity of the oil dispersion factors plays important role, thus, the microwave effect hold on an important role in reducing the asphaltene content .It is one of the important factor in reduction the victory of heavy oil.
Microwave non-thermal viscosity reduction effect is obvious, which has double function with both heating and non-thermal viscosity reduction.

Accurate experimental data would ensure the authenticity of key simulation parameters and reliability of simulations, but the existed experimental data is scarce.
More experimental researches should be conducted to obtain a great quantity of accurate data which can make the simulation more close to the actual situation.
Energy Technology Analysis-Prospects for CO2 Capture and Storage (Paris, France, 2004). ] showed that the test data of K12-B pilot project was 0.03-0.05tCH4/tCO2.
According to Clemens’s data [10], the gas volume of increase production is calculated as 63.9~191.7×109Nm3, equivalently 85~255×106t standard coal added (taking 1Nm3 CH4 as 1.33kg standard coal).
The authenticity of key simulation parameters and reliability of simulations is dependent on accurate experimental data.

Data Three types of data are used in this study.
All of the published data can be downloaded from the internet.
We survey these data from the Huairou and Gaobeidian sewage treatment plants.
Finally, we calculate some data to our research based on the published data.
The predicted maximum COD reduction 233 tons by using reclaimed water compared with no using.

All the lift data for all outputs is plotted as a 3D mesh (Figure 2.b), and similar for drag.
The wind speed data is fed into a Blade Element Momentum (BEM) program to determine the aerodynamic loads on the blade.
The Inverse Discrete Fourier Transform of the frequency data is then found to generate discrete time series data at each point.
There are three main inputs to the BEM calculation namely: wind field, blade geometry and aerofoil data.
The lift and drag data for the inner sections of the blade (cylinders and DU foils) are taken from Ref. [3].

The data presented in this paper can be useful to designers in their efforts to introduce low-cost SM PAM Ti-6Al-4V (Ti-6-4) alloy forgings into various U.S. defense applications.
Mechanical property data on single-melt processed Ti-6-4, specifically SM PAM material, were limited at the start of this work.
The fatigue strength values calculated from the best curve fits of the S-N data.
Fatigue strength values calculated from best curve fits of S-Nf data.
[23] “Mean Plane Strain Fracture Toughness Data of Titanium Alloy Ti-6Al-4V at Room Temperature,” Damage Tolerant Design Handbook, Vol. 1, J.