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The Weight Reduction Design of the Regenerator CA Nozzle in FCC Unit Using the FEA Iltaek Leea, Hyunsik Kimb, Namryoung Choic and Dongpyo Hongd Division of Mechanical system Engineering, College of Engineering, Chonbuk National University, Jeonju, 561-756, Republic of Korea aLee8607@jbnu.ac.kr, bhyunsiclove@jbnu.ac.kr, cherocnr2002@jbnu.ac.kr, dhongdp@jbnu.ac.kr Keywords: ASME Code, CA nozzle thickness, FEA, Structure analysis.
In this paper, FEA (Finite element analysis) of the FCC unit was performed to evaluate its structural stability and weight reduction.
Particularly, the study focuses on the reduction of weight in the FCC unit by means of structural analysis.
Fig. 2 The result of FEA of the CA Nozzle According to the results of the analysis, the equivalent stress is 160.98MPa, the data is satisfied the ASME Code spec(168MPa).

It provides more jobs and meanwhile achieves the energy reduction as well as reduction of time, effort and money.
Data shows that the energy consumption ratio of e-commerce is 1:8 with the same GDP production when compared with traditional business.
Data from Ereli market survey indicates that online recruitment users make up 18.8% of all internet users.
Flex provides a modern, standards-based language designed to support the public module, the client operating environment, development model and advanced data services.
In database design, analysis of data structure, data flow and data storage of data dictionary is need. it extracted the data according to data diagrams, determined the entities, entity attributes and relationships between entities, obtained the relationship model of the system.

The corresponding relationship between displacement and time is calculated for each tool, then the data of it was imported into MSC.Marc as boundary conditions of each tool. 1.2 Process parameters The process parameters is designed as shown in table 1, the feeding rate ΔZ is considered as the only variable.
a The center section drawing of the Pyramid b The local enlarged drawing Fig.7 The dimension accuracy comparison of different feed rates Analysis of Thickness Reduction Ratio In order to study the effects of different feed rates ΔZ (0.5mm, 1mm,1.5mm,2mm,3mm) on the forming area thickness reduction ratio of the parts, node B(node1149) of the diagonal of the parts is selected as shown in fig.8.
Fig.8 Node selection of thickness reduction ratio Fig.9 The thickness reduction ratio comparison of different feed rates Fig.9 shows that the thickness reduction on the diagonal is more serious than it on the center-line, therefore, we should pay more attention on the parts’ diagonal when we adopt MPCIF.
Figure 9 shows that the bigger the feed rate, the bigger the thickness reduction ratio and the sheet metal is more easy to crack caused by the instability of defects; the change between steps of the thickness reduction ratio curves in ascending order isΔZ0.5, ΔZ1, ΔZ1.5, ΔZ2, ΔZ3, the forming area can get uniform thickness under small feed rate .
Under the same process condition of MPCIF, the bigger the feed rate, the bigger the equivalent plastic strain and the thickness reduction ratio, the springback and bulge can be more serious, the parts can be more easy to crack. 2.

The process involved data collection, detailed measurements, and comprehensive analysis to provide actionable recommendations for improving energy performance and reducing associated costs and environmental impacts.
These documents provided the foundational data needed to understand the energy profile and operational context of the factory systems.
Step 3: Data Analysis and Recommendations- The collected data and measurements were analyzed to develop an action plan and recommendations for improving energy efficiency.
Data measurement via the power quality analyzer Table 1.
However, limitations remain, particularly concerning the need for real-time data monitoring and dynamic load control to adapt to fluctuating operational demands.

Experimental data coming from quasistatic tensile tests, carried out on specimens exposed to laboratory air, to a NaCl solution (3.5wt%) and to a methanol solution (95%), will be reported.
These data will be then compared with literature ones, referring to axial-fatigue tests [7, 8] performed on similar specimens exposed to the same environments, with the intent to decouple the effect of the alternating load and of the aggressive environment.
The tests results were then compared with previous experimental data, obtained by fatigue tests carried out on samples having similar geometry and in the same environments [7, 8].
The methanol fatigue data were taken from previous experimental campaigns [11].
Comparison between the quasistatic incubation tests (q-s) results, in different environments a), and comparison between these data and the fatigue ones b) [7, 8].

Using manifold learning method to deviation data in middle rolling stage , tail deviation pattern and scope are obtained.
Take 24 pieces of tandem rolling straps’ deviation as the training data, each deviation pattern have 8 set of data and onstitutes 24×11 train sample matrices.
Take 6 pieces of straps’ deviation as the test data, each pattern have 2 set of data and onstitutes 26×11 test sample matrices.
Next, we analyse to the actual rolling production deviation data in one aluminum company.
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Recently, research on mechanism of runoff and sediment reduction by plant measures became a hot point.
Wang et al. studied effects of grass coverage on shallow flow hydraulic parameters and sediment reduction [5].
Results and Discussions Reduction Effects of Grass on Runoff and Sediment Yield.
Based on the experiment data, the sediment yield rate was significantly and positively correlated to the flow shear stress and increased with the increase of the flow shear stress on both grass and grass plots, which can be seen in Fig. 1.
Effects of grass coverage on shallow flow hydraulic parameters and sediment reduction.

Reduction unit for high-speed train is an important component.
However if faults of reduction unit occurred, the damages such as material and human damage have been caused.
To prevent the damage, it is necessary to study reduction unit monitoring for high-speed train.
However if faults of reduction unit occurred, the damage such as cost and time etc. were caused.
In artificial pitting test, load was 200kgf to take data of pitting vibration signal.

At a current of 2 A, the comparison curve between the data and the equation still indicates a relatively low fit.
R2 indicates the data fit with the proposed equation.
However, R2 is relatively low for a 2 A current, suggesting that the data do not fit the model very well.
At a current of 2 A, the comparison curve between the data and the equation still indicates a relatively low fit.
The data and equation comparison curve still shows a comparatively poor match at a current of 2 A.

The data are acquired spirally at the sampling interval of 1 mm.
Next, by selecting the data which are inside 0.5σ which is the standard deviation of GBIR of the wafer profile, the data which have overlarge GBIR are eliminated.
As a result, the number of used data is 58 data.
Fig. 8 Method for identifying the noise of an actual machine The denoising methods with TV and WT using the combined method are applied on the sample data to study their performance in noise reduction.
Figure 9 shows the distributions of GBIR of (a) raw profile data and two profile data filtered with (b) TV and (c) WT using the combined method.