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The CFD model of the truck is built using the FLUENT software and the simulation results are compared with the wind tunnel test data to verify the accuracy of simulation model.
The energy department and research institutes began the drag reduction study of the heavy-duty vehicles and developed many kinds of drag reduction devices and low aerodynamic drag commercial vehicles[6-8].
There are many kinds of air deflectors, and the drag reduction capability of them has huge distinction.
The air deflector extending length has minimum influence on drag reduction performance of the air deflector.
An Experimental Study of Drag Reduction Devices for a Trailer Underbody and Base.

The results showed that the reduction reaction was very fast in the first 1 h, the content of total oxygen bonded carbon atoms decreased from 83.6% to 22.1%, and then after the reduction rate became very slow.
After reduction for 24h, there still exists 16.4% oxygen bonded carbon atoms and the total conversion ratio of graphene approaches 70%.
So far the most commonly method to prepare graphene was oxidation-reduction reaction, and there are thermal reduction, use reducing agent, and ultraviolet reduction, however, the reaction mechanism is not very clear, and few incidents of the change of the content of oxygen-containing functional groups with time have been reported.
The data shows that after reduction for 1h, the content of total carbon atoms in different carbon and oxygen functional groups decreased from 83.64% to 22.08%, it means 61.56% oxidized carbon get reduced during the first one hour reduction, the degree of reduction was very high. after 12h and 24h prolonged reduction, the content of carbon bonded with oxygen was 19.56% and 16.47%, respectively, that’s means the reduction rate decreased with the extension of time, and the oxygen-containing functional groups can not been fully removed by simply prolonged reduction time.
This increased the stereo-hindrance for reduction, and resulted in a total graphene conversion ratio approaching 70%.

The development of seawater batteries has constraints on oxygen reduction reactions in the battery discharge process that runs slowly.
Based on research data, N and Fe doped carbon aerogels have better seawater battery performance than N-doped carbon aerogels without Fe.
Slow oxygen reduction reactions must be resolved by using an electrocatalyst to improve the performance of seawater batteries.
The Fe3O4 was used as an electrocatalyst of oxygen reduction reactions [12], [13].
Jiang, “Recent progress of electrocatalysts for oxygen reduction in fuel cells,” J Colloid Interface Sci, vol. 607, pp. 791–815, 2022, doi: 10.1016/j.jcis.2021.09.008

The new formulation, which is calibrated on the basis of simulation buckling data available in literature, corrects a small issue of the previous one, giving at the same time more reliable and consistent results.
As far as imperfection effect on shell buckling is concerned, EN1999-1-5 is based on the traditional, empirical "Lower Bound Design Philosophy", according to which a knock-down factor of buckling loads, usually denoted by α, is introduced in order to fit the lower limit of the scattered experimental and numerical data.
Because of the great scattering observed in numerical buckling data, a further semi-probabilistic analysis has been carried out for the evaluation of the lower bound of buckling loads of imperfect cylinders subjected to axial compression.
To this purpose numerical data have been treated in stochastic way, in order to extrapolate lower values of ultimate load, corresponding to a given fractile value (5%) [4,5,7,8].
Likewise the α formulas given in the first issue of EC9, also the proposed expressions have been fitted on the basis of a wide amount of both numerical and experimental data available in literature but, contrary to the codified ones, they only depend on geometrical parameters, thus eliminating the dependence on the yield stress f0.

First, we got the data from the database, transformed the corresponding decision table, then got the data in decision-making table for further simplification, generated the final decision rules. and got good results, experimental results showed that the method provided some practical value.
Customer Classification Model Construction Data acquisition The initial decision table method using NS discrete discrete data: where, D = {d} is decision attribute set, said the types of customers, divided into 3 categories; 1 Gold customers, 2 for Silver customers, 3 copper Card.
Get customer attributes discretization results: Table 1 The initial decision table U a1 a2 a3 a4 a5 d X1 3 1 1 2 1 1 X2 3 1 1 2 3 2 X3 3 2 1 2 1 1 … … … … … … … X8 2 1 2 2 2 2 X9 1 1 3 1 1 1 X10 2 3 1 3 1 1 Attribute Reduction of Decision Table Improved attribute reduction algorithm based on logic operations Demand reduction algorithm： get DNF by conjunctive above expression : By logical operation converte disjunctive to CNF That is to say: For, First calculate,get， so valueis necessary.
Similarly, get overview Table of Value Reduction Table 3 Overview Table of Value Reduction UOB a2 a3 a5 d X1 — — 1 1 X2 — 1 3 2 X3 — — — 1 … … … … … X8 1 — — 2 X9 1 — 1 1 X10 — 1 — 1 Get from Table 3： (1) In terms of decision rules: , first consider for decision rules ,whether it is necessary relative to D (whether as the core values)?
References [1] Wang Xing, Niu Yugang, rough set theory based on customer relationship management, Shanghai: East China University of Information Science and Engineering, 2008 [2] David Hand, Heikki Mannila, Padhraic Smyth, Principles of Data Mining, Machine Press Society, April 2003 [3] He Rongqin, CRM principles, design, practice, Electronic Industry Press, January 2003 [4] Newell, Frederick.Loyalty.com: Customer Relationship Management in the New Era of Internet Marking.New York: McGraw-Hill, 1999 [5] Wang Biao, Duan Lun Chan, Wu Hao, Song Yonggang, rough sets and fuzzy sets and its application, Beijing: Electronic Industry Press ,2008,59-62, 1-2, 2 -6,172-173, 8-10

Energy Flow Analysis and Energy Conservation and Emission Reduction in Sichuan Province, China LIU Wei*, FENG Xiyu, HUANG Guan, HUAN Hanqing Chengdu University of Information Technology, Chengdu 610225, China E-mail: weling9@163.com Keywords: energy flow analysis; energy conservation and emission reduction; scenario analysis; Sichuan Province Abstract: Based on the relative data and materials, the energy flowchart of Sichuan province in 2008 was drew at first, then the energy input, output, consumption, corresponding pollutants emission of Sichuan province from 2000 to 2008 were analysed simultaneously.
Finally, suggestions of energy conservation and emission reduction in Sichuan province are proposed.
How to optimize the regional energy flow and how to implement energy conservation and emission reduction has become the urgent work.
(3) Optimizing energy consumption structure, accelerating technology research and develop of energy conservation and emission reduction
(4) Strengthening the energy conservation and emission reduction of transportation sector and building sector.

Using a generalized chemical kinetics equation, we have obtained a formula for checking the expressions that describe the experimental data.
To optimize the operating roasting conditions, we need to have the data pertaining to the kinetics of these processes [9 – 20].
The data obtained during the experiments allowed us to get dependences of the degree of calcination on the prill size, duration of thermal treatment, temperature, and gas-phase composition.
(12) This formula will be used later on for checking the expressions that describe experimental data.
The calculations showed that estimates and experimental data are in good agreement.

In this paper, the spinel ferrites Fe3O4 and MnFe2O4 nanoparticles were synthesized by using a solvothermal reduction method.
X-ray diffraction (XRD) and Raman analysis shows that all the peaks are close to the data for Fe3O4 and MnFe2O4, indicating the prepared particles are single phase.
Experiment The monodisperse Fe3O4 and MnFe2O4 nanospheres were prepared by a solvothermal reduction method.
The Fe3O4 and MnFe2O4 nanoparticles would then be produced in the reduction reaction.
Therefore, the spinel ferrite samples synthesized by a solvothermal reduction method are sometimes contain g-Fe2O3 impure phases.

Through field measurement to obtain the wind field characteristics and wind-induced vibration, can be compared with wind tunnel test data, and promote the improvement and development of the wind tunnel test technique.
Structure of information system, therefore, is actually a result of structure design, construction, testing and research, as well as the structure reinforcement scheme such as the comprehensive database, according to different purposes, calls the database of data to carry on the corresponding processing, it is the combination of civil structural characteristics research and information technology.
(3) improve the disaster reduction management in intelligent building design, realize the combination of human and comprehensive disaster reduction.
China's disaster reduction. (12) : 2005-50, 51 [7] Child stars; TaoPeng.
Urban disaster reduction management and intelligent building [J].

Porosity Defect Reduction Reduction of Gas Porosity.
Cycle Time Reduction.
Fig. 6 shows the property data of 226 alloy as a representative.
Strength and elongation data of the 226 alloy produced by SDC and GISS processes.
Other benefits such as the cycle time reduction of 16%, rejection reduction to about 1%, energy reduction of 18%, and die lube reduction of 73% have also been reported.