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Online since: May 2013
Authors: Dong Pyo Hong, Sung Mo Yang, Il Taek Lee, Hyun Sik Kim
This research focused on the weight reduction of FCC unit using the structural analysis and welding efficiency.First, the 3D modelofFCC unit was created using 3D CAD tool.The 3D model was analyzed and the maximum shear stress was evaluated using FEA toolSecond, stress concentration regions were determined.
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 on the ASME Code, which is higher than 168MPa.
As a result, local redesign can led to weight reduction.
For this reason, thickness reduction was done on the outer wall of the structure.
Fig. 3 shows the result of the FEA of the re-designed CA Nozzle.Structural reinforced part is applied on CA nozzle of regenerator for stress reduction [8].
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 on the ASME Code, which is higher than 168MPa.
As a result, local redesign can led to weight reduction.
For this reason, thickness reduction was done on the outer wall of the structure.
Fig. 3 shows the result of the FEA of the re-designed CA Nozzle.Structural reinforced part is applied on CA nozzle of regenerator for stress reduction [8].
Online since: October 2012
Authors: Xiao Qin Li, Yuan Yin, Hai Xia Lu
This paper builds a concept model of low-carbon Scenic Area by referring to the UN Commission on Sustainable Development (UNCSD)'s DSR (Driving — Status — Response) model, and understands the connotation of low-carbon scenic area from five levels which include development stage of scenic area, resources and environment, emission-reduction technology, consumer operation, policy concept.
On the base above, to construct the evaluation system of low-carbon scenic area by choosing four level indicators including low-carbon resources evaluation, the development evaluation, the awareness evaluation and the experience evaluation , which can provide a reference for the development potential of low-carbon scenic area and provide the theoretical direction and the technical support for the inspect of future low-carbon scenic area, the cooperation of emission reduction projects and the establishment of discharge compensating system.
It provides not only scientific data for macro carbon emissions decisions, but also theoretical guidance and technical support for the inspection of future low-carbon scenic area, the cooperation of emission reduction projects and the establishment of discharge compensating system.
The structure of DSR index framework model is: the internal and external pressure forces the scenic area to make the transition (Driving) and simultaneously affects resources & environment, reduction technology and consumer operation (Status), and the scenic area made a response through environmental policies, general economic and sectional policies, and the changes among awareness and behavior (Response) when the low-carbon scenic area develops to a certain stage.
By referring to the conceptual identification of low-carbon economy and the building of evaluation index system [3], low-carbon scenic area and its developmental stage, Resources & Environment, Emission Reduction Technology, Consumer Operation, Policy Concept are closely associated.
On the base above, to construct the evaluation system of low-carbon scenic area by choosing four level indicators including low-carbon resources evaluation, the development evaluation, the awareness evaluation and the experience evaluation , which can provide a reference for the development potential of low-carbon scenic area and provide the theoretical direction and the technical support for the inspect of future low-carbon scenic area, the cooperation of emission reduction projects and the establishment of discharge compensating system.
It provides not only scientific data for macro carbon emissions decisions, but also theoretical guidance and technical support for the inspection of future low-carbon scenic area, the cooperation of emission reduction projects and the establishment of discharge compensating system.
The structure of DSR index framework model is: the internal and external pressure forces the scenic area to make the transition (Driving) and simultaneously affects resources & environment, reduction technology and consumer operation (Status), and the scenic area made a response through environmental policies, general economic and sectional policies, and the changes among awareness and behavior (Response) when the low-carbon scenic area develops to a certain stage.
By referring to the conceptual identification of low-carbon economy and the building of evaluation index system [3], low-carbon scenic area and its developmental stage, Resources & Environment, Emission Reduction Technology, Consumer Operation, Policy Concept are closely associated.
Online since: September 2015
Authors: Tatyana Ogneva, Evelina Langeman, Anna Kulekina
Influence of the vehicles’ shape and length on its pressure drag value investigation
Tatyana Ogneva 1, a *, Anna Kulekina 2, b, Evelina Langeman 3, с
1, 2, 3 Novosibirsk State Technical University , Novosibirsk, Russia
a Tanysha.93@list.ru, b anna.kulekina@gmail.com, с langeman.evelina@gmail.com
Keywords: energy efficiency, pressure drag, energy usage reduction, aerodynamic drag.
The reduction of aerodynamic resistance in this case is 13% compared with the original one.
Autodesk Flow Design program has such advantages as simplicity of operation, high operation speed, high obtained data accuracy (measurement accuracy is 5%).
The reduction of aerodynamic resistance in this case is 13% compared with the original one.
Autodesk Flow Design program has such advantages as simplicity of operation, high operation speed, high obtained data accuracy (measurement accuracy is 5%).
Online since: April 2020
Authors: Dwinanti Rika Marthanty, Gina Fairuz, Jessica Sjah
The flow velocity inside Model 1 is 0,479963 m/s with the flow velocity reduction of 52,0037%, for Model 2 is 0,3492 m/s with the flow velocity reduction of 65,0804%.
As a general indicator, the higher the amplitude of the wave, the greater the flow velocity reduction [5].
The difference in the flow velocity reduction of Model 1 and Model 2 can be seen in Fig. 7a and Fig. 7b.
(a) (b) Fig. 7 (a) Reduction of Flow Velocity in Model 1, (b) Reduction of Flow Velocity in Model 1.
[3] Houston Public Works, Floodplains Management Data Analysis Chapter 19.
As a general indicator, the higher the amplitude of the wave, the greater the flow velocity reduction [5].
The difference in the flow velocity reduction of Model 1 and Model 2 can be seen in Fig. 7a and Fig. 7b.
(a) (b) Fig. 7 (a) Reduction of Flow Velocity in Model 1, (b) Reduction of Flow Velocity in Model 1.
[3] Houston Public Works, Floodplains Management Data Analysis Chapter 19.
Online since: December 2013
Authors: Haslina Arshad, Abd Majid Nazatul Aini
The key problem with this particular process monitoring, according to Bearne [4], is that the aluminium electrolysis process generates a substantial quantity of data, due to the large number of aluminium reduction cells involved.
The characteristics of the data are that they are correlated, non-linear, and noisy.
Data management.
How data is managed in the AR based application?
Examples include data retrieval based on scenario-oriented, process-oriented, knowledge-based, or virtual model-based [1]. 4.
The characteristics of the data are that they are correlated, non-linear, and noisy.
Data management.
How data is managed in the AR based application?
Examples include data retrieval based on scenario-oriented, process-oriented, knowledge-based, or virtual model-based [1]. 4.
Online since: May 2014
Authors: Prasad Bhattacharjee Pinaki, Zaid Ahmed Mohammed
For this purpose annealed duplex steel plates were cold and warm-rolled up to 90% reduction in thickness at room temperature and at 625°C, respectively.
The acquired EBSD data was analyzed using the TSL-OIMTM software.
The austenite fraction after 40% reduction in thickness is 45% which decreases to 38% and 25% upon further cold rolling to 70% and 90% reduction in thickness, respectively (Table 2).
Up on further cold rolling to 70% reduction in thickness (Fig.2(e)) the texture is strengthened (maximum ODF intensity 14.3).
Following 90% thickness reduction (Fig.2(f)) the texture is significantly strengthened (maximum ODF intensity of 24.40).
The acquired EBSD data was analyzed using the TSL-OIMTM software.
The austenite fraction after 40% reduction in thickness is 45% which decreases to 38% and 25% upon further cold rolling to 70% and 90% reduction in thickness, respectively (Table 2).
Up on further cold rolling to 70% reduction in thickness (Fig.2(e)) the texture is strengthened (maximum ODF intensity 14.3).
Following 90% thickness reduction (Fig.2(f)) the texture is significantly strengthened (maximum ODF intensity of 24.40).
Online since: November 2011
Authors: Vladimir Brailovski, Patrick Terriault, Charles Fischer
Three wires for each thickness reduction are tested (see Table 1).
Resulting properties from all the stress-strain data collected during the test are illustrated on Fig. 5 a) and b).
Data illustrated on Fig. 3 b) show that the 8604 outperforms the 8605 at 25ºC, possibly because of the brittle nature of the latter at low temperature.
Considering that the objective was to find a way to reduce the thickness of the SMA wire without adversely affecting its actuating properties, the data on Fig. 5 a) and b) shows that procedure #3 seems to be the best compromise.
Figure 7, Linear regression on pull-out data Following the Fig. 8 trend, the wire would have to be reduced to a thickness of 0.009 mm in order to prevent debonding.
Resulting properties from all the stress-strain data collected during the test are illustrated on Fig. 5 a) and b).
Data illustrated on Fig. 3 b) show that the 8604 outperforms the 8605 at 25ºC, possibly because of the brittle nature of the latter at low temperature.
Considering that the objective was to find a way to reduce the thickness of the SMA wire without adversely affecting its actuating properties, the data on Fig. 5 a) and b) shows that procedure #3 seems to be the best compromise.
Figure 7, Linear regression on pull-out data Following the Fig. 8 trend, the wire would have to be reduced to a thickness of 0.009 mm in order to prevent debonding.
Online since: March 2013
Authors: Li Jie Zhang, Yun Ru Zhang, Xu Ya Peng, Tian Tao Zhao
Kinetics and substrates optimization on a facultative and methanotrophic bacterium
ZHAO Tiantao1,a, ZHANG Lijie1,b, ZHANG Yunru1, PENG Xuya2
1College of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400050, China
2College of Urban Construction and Environmental Engineering, Chongqing University, Chongqing 400045, China
aE-mail: tiantaozhao@gmail.com, bE-mail: zhljtt@cqut.edu.cn
Keywords: Methane reduction.
Facultative methanotrophs reported recently could only utilize a few of C2, C3 and C4 compounds, which limited the application of methane oxidation in the engineering of greenhouse gas reduction due to the difficulty of cells propagation.
These data would suggest that methane is the more preferred substrate for M. sp.
Metabolic and biochemical characteristics of the strain open up a new possibilities for environmental biotechnology, such as some potential applications in methane reduction emitted from soil or landfills.
Facultative methanotrophs reported recently could only utilize a few of C2, C3 and C4 compounds, which limited the application of methane oxidation in the engineering of greenhouse gas reduction due to the difficulty of cells propagation.
These data would suggest that methane is the more preferred substrate for M. sp.
Metabolic and biochemical characteristics of the strain open up a new possibilities for environmental biotechnology, such as some potential applications in methane reduction emitted from soil or landfills.
Online since: August 2012
Authors: Hsi Chi Yang, Hsiao Chun Chang, Ron Chen
Based on the data from Architecture and Building Research Institute, Ministry of the Interior, the amount of CO2 emissions of the construction industry has exceeded one quarter of the national total.
It can be seen that the residential buildings play a key role on energy saving and CO2 emission reduction policy.
Therefore, it may influence the promotion of energy saving and carbon dioxide emission reduction policy.
Based on the data from Architecture and Building Research Institute, Ministry of the Interior, the amount of carbon dioxide emissions of the construction industry has exceeded one quarter of the national total.
Therefore, it may influence the promotion of energy saving and CO2 emission reduction policy.
It can be seen that the residential buildings play a key role on energy saving and CO2 emission reduction policy.
Therefore, it may influence the promotion of energy saving and carbon dioxide emission reduction policy.
Based on the data from Architecture and Building Research Institute, Ministry of the Interior, the amount of carbon dioxide emissions of the construction industry has exceeded one quarter of the national total.
Therefore, it may influence the promotion of energy saving and CO2 emission reduction policy.
Online since: October 2011
Authors: Karibeeran Shanmuga Sundaram, Selvam Rajiv, Pablo Pasquale
The aim of the paper was to verify the results from Finite element methods with experimental data.
A Maximum reduction of 15.85% in diameters were measured.
Introduction In the automotive industry, the vehicle weight reduction is one of the major concerns.
In the second step, the structural analysis is carried with the result obtained from the step 1 and the final deformation in reduction in diameter is calculated as the final result.
It is observed from the experiment that by increasing the forming energy there is increase in reduction in diameter during compression process.
A Maximum reduction of 15.85% in diameters were measured.
Introduction In the automotive industry, the vehicle weight reduction is one of the major concerns.
In the second step, the structural analysis is carried with the result obtained from the step 1 and the final deformation in reduction in diameter is calculated as the final result.
It is observed from the experiment that by increasing the forming energy there is increase in reduction in diameter during compression process.