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Use BP Neural Network set up the Corrosion Prediction Model of Low Temperature Parts of Atmospheric Pressure Device Yu guang Fan1,a, Zai dong Piao1,b, Bing Chen1,c, Hong xian Lin1,d, Yang Yang1,e 1College of Mechanical Engineering, Xi'an Shiyou University, Xi'an Shaanxi, China, 710065 aygfan@xsyu.edu.cn, bparkzd@sina.com, cbchen@xsyu.edu.cn, dlinhongxian@xsyu.edu.cn, e17276987@qq.com Keywords: Atmospheric pressure device, Neural network, Corrosion, Predict Abstract.
Among them, the corrosion of the low temperature parts of atmospheric pressure device is seriously affected the safety of the oil production, also it is the main corrosion of atmospheric device.
The corrosion of the atmospheric pressure system affected by various factors, the related parameters are following: ①Production process parameters: pressure, temperature, flow, liquid level, velocity, material composition, etc.
Cl-, H2S, PH value are often the main factors of the atmospheric pressure system corrosion; ③Corrosion inspection parameters: the corrosion potential, the valence and the content form of the iron of the corrosion products, the changes of the equipment thickness, resistance or the variation of mechanical properties, etc.
0.1614 0.0895 0.0601 23 8.88 71.04 45.00 2.81 0.8744 0.4441 0.6289 0.7350 24 8.84 56.86 69.56 0.28 0.8651 0.3385 0.9760 0.8437 25 9.31 39.10 7.13 0.65 0.9744 0.2063 0.0937 0.1448 26 8.37 84.55 0.50 0.50 0.7558 0.5447 0.0000 0.1038 27 8.82 26.93 69.56 0.31 0.8605 0.1156 0.9760 0.0519 28 5.81 101.03 17.00 3.54 0.1605 0.6674 0.2332 0.9344 29 8.55 52.13 38.49 0.70 0.7977 0.3033 0.5369 0.1585 30 8.18 70.46 5.60 0.40 0.7116 0.4398 0.0721 0.0765 31 5.12 37.76 37.40 2.67 0.0000 0.1963 0.5215 0.6967 32 8.02 31.63 38.49 0.91 0.6744 0.1506 0.5369 0.2158 33 8.78 81.54 12.98 0.57 0.8512 0.5223 0.1764 0.1230 34 7.36 56.98 17.00 1.52 0.5209 0.3394 0.2332 0.8825 35 7.74 85.08 7.65 0.43 0.6093 0.5486 0.1010 0.0847 36 7.95 66.17 51.00 0.13 0.6581 0.4078 0.7137 0.7027 37 8.36 51.55 5.62 2.55 0.7535 0.2990 0.0724 0.1639 The Relationship Model of the Content of Fe2+ Influenced by Atmospheric Pressure Device Low Temperature Parts The relationship model of the atmospheric pressure device low temperature parts affected

Developed materials were further analyzed by various methods: monitoring changes in an observation furnace, physical–mechanical (to determine strength properties), physical-chemical (phase composition - XRD) and microstructural (SEM).
Due to these factors and the current availability of suitable alternative raw materials, heating plant slag was chosen for the modification of the binder.
Potentially suitable properties that suggest agloporite for application in mortars with assumed thermal durability are presented by Černý in [6].
In addition, a change of specimens (for testing of physical-mechanical properties) was assessed by visual observation after 22, 600, 1,000 and 1,200° C exposures.
Fındık: Several properties of mineral admixtured lightweight mortars at elevated temperatures, Fire and Materials, 37 (5) (2013), p. 337–349

From taguchi factor effect diagram it has been found that pyrolysis temperature and silica source plays major role in improving the yield. 1.Introduction SiC has always been noted for its excellent mechanical properties, specifically, hardness and wear resistance.
Important stage in the design of experiment is the selection of factors and levels Significant factors that affect the silicon carbide yield are selected based on literature survey and experience. 4 factors at 3 different levels are chosen and the variables are heating rate, pyrolysis temperature, and silica source and silica content.
Table 1.Design of experiment – Factors and levels Factors Level 1 Level 2 Level 3 Temperature [C ] 1400 1600 1800 Silica source colloidal silica sodium silicate quartz Heating rate [°C/min] 5°C 10°C 20°C Silica content [wt%] 10 20 30 Analysis of signal to noise (S/N) ratio is needed to evaluate the experimental results.
Results and discussion The experiments were conducted with an aim of relating the influence of silica source, pyrolysis temperature, silica content and heating rate on silicon carbide yield.On conducting the experiments as per the orthogonal array, results were obtained and factor effect diagram is drawn for each factors.
Figure 1 shows the factor effect diagram of Taguchi’s signal to noise ratio for SiC yield.

The originating waste raw materials can lead to, in most cases the development of secondary raw materials, and are, according to their material properties used in various industries.
One of the resulting factors of ecologic liquidation of this kind of wastes is, for example, use in the building industry.
Then the testing bodies were broken in half perpendicularly to the surface on which the water pressure was affecting.
The evaluation of the group of basic tests verified the influence of the fly-ash on the resulting properties of the waterproof levelling layer.
The main decisive criterion for the investigation of the further material properties of mixtures modified by the fly-ash was the positive evaluation of the waterproof properties according to ČSN EN 12390-8 “Depth of penetration by compressed water“.

The difference in moisture content partly affects the process and slaking product before slaking.
The slaking characteristic is one of the key factors in carbonaceous mudstone embankment filling.
The difference in moisture content partly affects the process and slaking product before slaking..
(in chinese) [2] ZHAO Minghua,LIU Xiaoming,SU Yonghua.Experimental studies on engineering properties of red material containing slaking rock[J].Chinese Journal of Geotechnical Engineering, 2005, 27(6); 667－671.
The water physical properties of the soft rock[J].

Besides, these factors also result in shifting the Ni content of the NiTi matrix phase to higher values [3,4].
It attained better mechanical properties with ductilities (>7%), large recovery strain (>6%) and Young’s modulus closed to human bone (15-25 GPa).
A study of varying the Ar pressure only improved the mechanical properties and not for the porosity effect as it achieved with 10-16 vol% [25].
P.Stöver, D. (2006a), Improvement of Mechanical Properties of Powder Metallurgical NiTi Shape Memory Alloy, Adv.
P. (2009aSpace-holder engineered porous NiTi shape memory alloys with improved pore characteristics and mechanical properties). 474(1-2): L1-L5

The attention is paid to the assessment of the effectiveness of selected retardant protective substances applied to spruce wood that was thermally loaded for prediction of flammability properties and assessing the suitability of their application.
Introduction An important material used in building construction is also wood, because of its irreplaceable properties.
Wood is able to survive the centuries in a suitable environment, but as an organic material, when it is exposed to various harmful factors, such as e.g. climate impacts, biological agents, fires, mould, bacteria and other factors, it is subjected to degradation up to the loss of its lifespan and functionality.
In our paper we deal with an experimental assessment of selected retarding substances affect (HR-Prof, PLAMOSTOP D and D PLAMOSTOP-transparent), which were applied to the surface of solid spruce wood, and further thermally loaded with a radiant heat source.
Thickness of retarding coating (μm) 36 27 25 Adhesion – cross-hatch test (degree) 1 0 0 Evaluating the surface by application retarding substances treated wood with profile method To achieve the desired quality material characteristics is important to evaluate the surface properties of wood using the parameters of the roughness Ra (mean arithmetic deviation of the primary wood profile) and Rz (the full depth of the profile).

Introduction There are a number of ways to measure the formability and mechanical properties of a material system.
Intrinsic tests measure the mechanical properties of a material which can then be related to the formability.
These tests provide a range of mechanical properties that are independent of the material thickness and surface condition.
The aperture and shutter speed directly affect the exposure of the image, as does the lighting conditions.
A compromise between these factors was found for this project in the following way.

In this paper, the methods based on phonon scattering theory were applied to explore the thermal transport properties CNTs.
Since the discovery of carbon nanotubes (CNTs) by Iijima in 1991, the investigation of its physical properties has been conducted up to now, and it is realized that CNTs possess unique thermal transport and mechanical properties.
Furthermore, there will be an important influence on the thermal transport properties of CNTs.
In consideration of the conditions of temperature and axial strain applies to the CNTs, it is found that the dominate factor affecting the simulation accuracy is the exchange times in a unit time, not the exchange energy in each step.
In addition, the high frequency phonon peak in PDOS is an important parameter to be used to analyze the thermal transport properties of CNTs, and has significant worth in the precise investigation of the thermal transport properties of dynamic structures.

A Review About Condensation Heat Tansfer with Non-condensable Gases Junxia Zhang1, a, BinyaoGong 1, b 1 School of Mechanical and engineering, Yulin University, Yulin, Shanxi Province, 719000, China awyb700411@163.com, b gby56@sohu.com Keywords: Condenation, heat transfer, Non-condenable gases, review Abstract.
Factors to affect condenation with non-condensable gases Downward flowing condensation Some researches experimentally and theoretically revealed that effects of non-condensable gses on condenation of vapor and factors to affect condensation with non-condensable gases, including geometric shape of condensing surface, flowing pareameters of fluids and various kinds of non-condensable gases.
Lee et al [11] correlated a degradation factor of counterflowing condensation in the U-shape tuce as both mass fraciton of non-condensable gases and mass rate of condensate.
Wang and Tu[17] numerically concluded that non-condenable gases have more effects on laminar condenation heat transfer as compared with turbulent condenation heat transfer, and more obviously affects condenation heat transfer at low pressure.
Surface property effects on dropwise condensation heat transfer from flowing air-steam mixtures to promote drainage.