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Online since: November 2025
Authors: Tariq Jamil, Muhammad Hateem Arif
Compared to the results of baseline steel shaft, Carbon fiber, Hemp fiber and Carbon-Bamboo fiber configurations demonstrated a mass reduction of 75.71%, 80% and 77.5%, respectively.
The results indicated a significant reduction of 78% weight with better performance in torsional stability.
Material Optimization and Weight Reduction of Drive Shaft Using Composite Material. vol. 10. n.d
Design and Analysis of Leaf Springs for Weight Reduction by Using Natural Fiber Composites Instead Of Steel. 2017
Tractor power take-off torque measurement and data acquisition system.
The results indicated a significant reduction of 78% weight with better performance in torsional stability.
Material Optimization and Weight Reduction of Drive Shaft Using Composite Material. vol. 10. n.d
Design and Analysis of Leaf Springs for Weight Reduction by Using Natural Fiber Composites Instead Of Steel. 2017
Tractor power take-off torque measurement and data acquisition system.
Online since: November 2016
Authors: Norbert Enzinger, M. Stummer, P. Stögmüller, T. Eichinger
To generate the required data, two different experimental setups were used.
To obtain the measurement data, the time dependence as well as the interaction of the parameters, variable parameters had to be defined.
Within this data the time-dependent contact angle can be plotted (Figure 8) and compared with the as received surface condition (t>>).
Stahl, “data sheet - DC01,” 2015.
[4] Haeuselmann, “data sheet - EN AW 6082,” 2015.
To obtain the measurement data, the time dependence as well as the interaction of the parameters, variable parameters had to be defined.
Within this data the time-dependent contact angle can be plotted (Figure 8) and compared with the as received surface condition (t>>).
Stahl, “data sheet - DC01,” 2015.
[4] Haeuselmann, “data sheet - EN AW 6082,” 2015.
Online since: December 2011
Authors: Shao Feng Yu, Yao Ge
And the curve of the ratio of perforated column to non-porous column on overall buckling load with opening rate will be drawn according to the data in Table 1, as shown in Fig. 3 (b is the width of the web, and S is vertical hole spacing).
From the data in Table 3 and Table 4, the overall buckling load with 2 or 3 rows of holes in web is almost the same with single row of holes, and the difference is less than 3%.
Section Size [mm] Opening rate Local Buckling Load with round holes [N/mm2] Local Buckling Load with square holes [N/mm2] 01 100×40×20×35×2,Length=300mm, Single rows of holes in web, Vertical spacing=50mm 0 425.60 425.60 02 0.1 416.19 411.33 03 0.2 414.40 416.64 04 0.3 427.42 440.77 05 0.4 453.72 472.02 06 0.5 477.75 500.75 Square holes Round holes The Local buckling Load [N/mm2] Opening rate in web Fig. 4 The curve of Local Buckling Load Through data analysis, the existence of holes has an impact on the local buckling load: (1) When the opening rate is lower(≤0.3),as the size of holes increases, the local buckling load decreases, but not obvious(The maximum reduction rate is 3.4%)
Throughout the whole process of change, the reduction of local buckling load is not obvious whether round holes or square holes.
For the parameters above, the distortional buckling coefficient kd is given in Table 6, and a curve about kd is also drawn in Fig. 6 according to the data in Table 6.
From the data in Table 3 and Table 4, the overall buckling load with 2 or 3 rows of holes in web is almost the same with single row of holes, and the difference is less than 3%.
Section Size [mm] Opening rate Local Buckling Load with round holes [N/mm2] Local Buckling Load with square holes [N/mm2] 01 100×40×20×35×2,Length=300mm, Single rows of holes in web, Vertical spacing=50mm 0 425.60 425.60 02 0.1 416.19 411.33 03 0.2 414.40 416.64 04 0.3 427.42 440.77 05 0.4 453.72 472.02 06 0.5 477.75 500.75 Square holes Round holes The Local buckling Load [N/mm2] Opening rate in web Fig. 4 The curve of Local Buckling Load Through data analysis, the existence of holes has an impact on the local buckling load: (1) When the opening rate is lower(≤0.3),as the size of holes increases, the local buckling load decreases, but not obvious(The maximum reduction rate is 3.4%)
Throughout the whole process of change, the reduction of local buckling load is not obvious whether round holes or square holes.
For the parameters above, the distortional buckling coefficient kd is given in Table 6, and a curve about kd is also drawn in Fig. 6 according to the data in Table 6.
Online since: March 2015
Authors: Shu Mei Wu, Yan Fen Liao, Xiao Qian Ma, Jing Hui Song, Yan Lin
Economic Analysis of Wet Flue Gas Desulfurization System with the Application of Low Pressure Economizer for Waste Heat Recovery
Jinghui Song1,a, Yan Lin2,b, Yanfen Liao2,c,*, Xiaoqian Ma2,d, Shumei Wu2,e
1Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, Guangdong Province, China
2Key Laboratory of Efficient and Clean Energy Utilization of Guangdong Higher Education Institutes, South China University of Technology, Guangzhou 510640, China
asongjinghui2006@163.com, b277089919@qq.com, cyfliao@scut.edu.cn, depxqma@scut.edu.cn, e1035905757@qq.com
Keywords: Waste Heat Recovery; Wet Flue Gas Desulfurization; Water Consumption Reduction.
The data of wet flue gas desulfurization (WFGD) power and water consumption, from two different coal-fired power plants (100 MW and 1000 MW) under full load operation, are studied for the WFGD economic analysis of waste-heat-recovery transformation with the installation of low pressure economizer (LPE).
These analyses are mainly performed for that and offering more data to be referred to the extension of the LPE system in China.
According to formula (5), waste heat recovery and reduction of coal consumption are the reasons why fan power consumption can be decreased, if temperature of exhaust flue gas is the only parameter to be considered.
The data of wet flue gas desulfurization (WFGD) power and water consumption, from two different coal-fired power plants (100 MW and 1000 MW) under full load operation, are studied for the WFGD economic analysis of waste-heat-recovery transformation with the installation of low pressure economizer (LPE).
These analyses are mainly performed for that and offering more data to be referred to the extension of the LPE system in China.
According to formula (5), waste heat recovery and reduction of coal consumption are the reasons why fan power consumption can be decreased, if temperature of exhaust flue gas is the only parameter to be considered.
Online since: November 2011
Authors: Xiao Yan Zhao
The data-aided method utilizes the correlation of the training symbol itself to conduct estimation.
Among data-aided algorithms, the method proposed by S&C is most popular [4].
S&C algorithm identifies the start position of the OFDM useful data symbol by searching the relevant peaks of reduplicate parts.
By , it will be found that the samples on both sides of the symmetry center could satisfy complex conjugate only when alignmenting the start point of the OFDM useful data.
When alignmenting the start point of the useful data of the OFDM symbol, the correlation between the received training symbol and the produced training symbol on the receiving end will reach a maximum.
Among data-aided algorithms, the method proposed by S&C is most popular [4].
S&C algorithm identifies the start position of the OFDM useful data symbol by searching the relevant peaks of reduplicate parts.
By , it will be found that the samples on both sides of the symmetry center could satisfy complex conjugate only when alignmenting the start point of the OFDM useful data.
When alignmenting the start point of the useful data of the OFDM symbol, the correlation between the received training symbol and the produced training symbol on the receiving end will reach a maximum.
Online since: March 2016
Authors: K. Azman, H. Azhan, Mohd Mustaqim Rosli, S. Akmal Syamsyir, I.N. Syuhaida, C.M.N. Azura, M. Robaiah
XRD data showed a reduction of the volume fraction for the Bi-2223 phase and increased the volume fraction of Bi-2212 phase with the doping of Nd and Er.
The reduction of length of the c-axis was due to the smaller size of Nd3+ and Er3+ ions compared to the Ca2+ ions [9] where the doping ions will cause the distortion between the slabs of Bi-2223 led to the formation of Bi-2212 [2].
This is due to the reduction of hole concentration in the Cu-O plane which is caused by the substitution of trivalent ions for the divalent calcium ions [11].
XRD analysis showed that the decrease of c-axis parameter and increase of Bi-2212 phase for doped samples led to the reduction of volume fraction of Bi-2223/Bi-2212(%).
The reduction of length of the c-axis was due to the smaller size of Nd3+ and Er3+ ions compared to the Ca2+ ions [9] where the doping ions will cause the distortion between the slabs of Bi-2223 led to the formation of Bi-2212 [2].
This is due to the reduction of hole concentration in the Cu-O plane which is caused by the substitution of trivalent ions for the divalent calcium ions [11].
XRD analysis showed that the decrease of c-axis parameter and increase of Bi-2212 phase for doped samples led to the reduction of volume fraction of Bi-2223/Bi-2212(%).
Online since: February 2025
Authors: Yi Pin Wu, Fu Ming Chang
The results show that, from the test data, with a slope of 1% and a 5-year frequency flood; 25-year frequency flood; 50-year frequency flood the water retention capacity is 6.01%, 5.78%, 2.35%, and the flood peak value is reduced by 3.45%, 2.5%, 3.3%.
According to the United Nations Office for Disaster Risk Reduction, the impact of climate change on urban space is increasing.
Since the greenhouse effect was discovered and scientists raised the alarm, the United Nations, governments and non-governmental organizations have begun to develop various types of mitigation strategies, including: saving energy [2] and improving energy efficiency[3], develop emerging and renewable energy [4], develop greenhouse gas reduction technology [5]; however, the trends of global warming and climate change are no longer dependent on human beings can be avoided by reducing greenhouse gas emissions.
Water retention capacity of Vegetated Swales planting trench test conditions Slope 1% Experiment number V1 V2 V3 Flood conditions 5-year frequency floods 25-year frequency floods 50-year frequency floods storage capacity (%) 6.01 5.78 2.35 Peak reduction (%) 3.45 2.5 3.3 References [1] Hecht, Alan D.
"Paved area reduction factors under temporally var-ied rainfall and infiltration."
According to the United Nations Office for Disaster Risk Reduction, the impact of climate change on urban space is increasing.
Since the greenhouse effect was discovered and scientists raised the alarm, the United Nations, governments and non-governmental organizations have begun to develop various types of mitigation strategies, including: saving energy [2] and improving energy efficiency[3], develop emerging and renewable energy [4], develop greenhouse gas reduction technology [5]; however, the trends of global warming and climate change are no longer dependent on human beings can be avoided by reducing greenhouse gas emissions.
Water retention capacity of Vegetated Swales planting trench test conditions Slope 1% Experiment number V1 V2 V3 Flood conditions 5-year frequency floods 25-year frequency floods 50-year frequency floods storage capacity (%) 6.01 5.78 2.35 Peak reduction (%) 3.45 2.5 3.3 References [1] Hecht, Alan D.
"Paved area reduction factors under temporally var-ied rainfall and infiltration."
Online since: December 2014
Authors: Sasithorn Khumgorn, Napassavong Osothsilp
This resulted in the reduction of Topcoat material cost, which is more expensive than the EDP material cost.
In summary, the improved setting resulted in a cost reduction of 422 THB/unit.
After implementation, the process capability index (Cpk) has increased from 0.61 to 1.99, resulting in the cost reduction of 422 THB/unit or 1,730,498 THB/year.
Pierce: Six Sigma concepts, tools, and application, Industrial Management & Data System, Vol. 105 (2005), pp. 491-505 [4] J.
Senprom: Glass-Mold Defective Reduction in Plastic Lenses Manufacturing Process Using Six Sigma Approach, Advanced Materials Research, Vols. 156-157 (2011) pp. 1598-1602 [12] C.Wu and H.
In summary, the improved setting resulted in a cost reduction of 422 THB/unit.
After implementation, the process capability index (Cpk) has increased from 0.61 to 1.99, resulting in the cost reduction of 422 THB/unit or 1,730,498 THB/year.
Pierce: Six Sigma concepts, tools, and application, Industrial Management & Data System, Vol. 105 (2005), pp. 491-505 [4] J.
Senprom: Glass-Mold Defective Reduction in Plastic Lenses Manufacturing Process Using Six Sigma Approach, Advanced Materials Research, Vols. 156-157 (2011) pp. 1598-1602 [12] C.Wu and H.
Online since: March 2011
Authors: Claudio Giardini, Giancarlo Maccarini, Michela Longo, Gianluca Danilo D'Urso
In particular, experimental data regarding load stroke curves and foam density were used to optimize the material description.
In particular, experimental data regarding load stroke curves and foam density were used to optimize the material description.
A fitting of the data concerning the specimens having a thickness equal to 15 mm was also carried out.
The exponential law resulted to fit quite well the data (R2 = 0.968).
Material flow stress data were selected from Deform database.
In particular, experimental data regarding load stroke curves and foam density were used to optimize the material description.
A fitting of the data concerning the specimens having a thickness equal to 15 mm was also carried out.
The exponential law resulted to fit quite well the data (R2 = 0.968).
Material flow stress data were selected from Deform database.
Online since: May 2004
Authors: Z. Cvijović, M. Vratnica, Marko Rakin
The data are compared to current fracture toughness models,
with the results applied to improve the modeling of toughness using microstructural parameters and
basic tensile properties.
The data are then quantitatively correlated to fracture toughness and the bulk microstructural attributes estimated via stereological analysis.
Based on these experimental data, a model for plane strain fracture toughness was developed and is described in the next section. 3.
Table 3 Tensile and fracture toughness data along with results of quantitative fractography.
This is consistent with the data listed in Table 2.
The data are then quantitatively correlated to fracture toughness and the bulk microstructural attributes estimated via stereological analysis.
Based on these experimental data, a model for plane strain fracture toughness was developed and is described in the next section. 3.
Table 3 Tensile and fracture toughness data along with results of quantitative fractography.
This is consistent with the data listed in Table 2.