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Online since: February 2014
Authors: Massimo Camarda, Francesco La Via, Carmelo Vecchio, Marco Mauceri, Grazia Litrico, Antonino Pecora, Danilo Crippa, Nicolo’ Piluso, Marco Puglisi
Since the above data are on 150 mm can not give complete information regarding downfall density using the new automatic reactor, some data was collect on 4H-SiC-4H 100 mm epiwafers produced with the same automatic reactor.
Defect density data collected on 100mm 4H-SiC-4H epiwafers processed with PE1O6 showed a clear reduction of downfall density (< 0.5 cm-2) also for high epilayer thickness.
Defect density data collected on 100mm 4H-SiC-4H epiwafers processed with PE1O6 showed a clear reduction of downfall density (< 0.5 cm-2) also for high epilayer thickness.
Online since: May 2006
Authors: Marisa A. Almeida, João C. Bordado, Regina C. Santos, Margarida J. Quina, Rosa M. Quinta-Ferreira
During the firing process, the gases are produced from
the organic compounds oxidation, carbonates decomposition, sulphide oxidation, iron reduction,
and from phases containing fluorides or chlorides [8].
For comparison purposes among different wastes, and taken into account the huge amount of data published in the literature concerning the oxide composition of coal fly ashes (CoalFA) and bottom ashes from incineration (BAMSWI), two additional regions were added to the diagram.
The residue considered in this study is represented with dark spherical points highlighted in Fig. 1 and 2, while the white points indicate literature data, which are spread in a large range.
Fluxing 0 20 40 60 80 100 SiO2 0 20 40 60 80 100 Al2O3 0 20 40 60 80 100 Bloating area CoalFA BAMSWI APC residues Literature Fluxing 0 20 40 60 80 100 SiO2 0 20 40 60 80 100 Al2O3 0 20 40 60 80 100 Bloating area APC residues Clay Previsão incorporação tq APC washed (1ª ext) APC washed (2ª ext) Previsão incorporação lav Col 4 vs Col 2 Col 4 vs Col 2 10% 10% wash 5% Figure 1- Chemical composition of bloating material, coal fly ashes, bottom ashes from MSWI, APC residues used in this study and from literature data [1-3].
For comparison purposes among different wastes, and taken into account the huge amount of data published in the literature concerning the oxide composition of coal fly ashes (CoalFA) and bottom ashes from incineration (BAMSWI), two additional regions were added to the diagram.
The residue considered in this study is represented with dark spherical points highlighted in Fig. 1 and 2, while the white points indicate literature data, which are spread in a large range.
Fluxing 0 20 40 60 80 100 SiO2 0 20 40 60 80 100 Al2O3 0 20 40 60 80 100 Bloating area CoalFA BAMSWI APC residues Literature Fluxing 0 20 40 60 80 100 SiO2 0 20 40 60 80 100 Al2O3 0 20 40 60 80 100 Bloating area APC residues Clay Previsão incorporação tq APC washed (1ª ext) APC washed (2ª ext) Previsão incorporação lav Col 4 vs Col 2 Col 4 vs Col 2 10% 10% wash 5% Figure 1- Chemical composition of bloating material, coal fly ashes, bottom ashes from MSWI, APC residues used in this study and from literature data [1-3].
Online since: May 2011
Authors: Feng He, Lai Gui Wang, Zai Xing Yao, Li Lin Zhang, Guo Chao Zhao
For discretization finite element model system, any unit can establish energy equation which is similar to the form of up type (among them no crack or no crack propagation units, regardless of the crack propagation energy consumption), group all units of energy equation and reduction finite element incremental equation can be given:
(4)
is the total stiffness matrix calculation system of thestep, and total stiffness matrix with crack cracking process continually changes; is overall displacement incremental array of thestep; is overall the load incremental array of thestep; is the equivalent excessive nodal force array of tension failure unit of thestep:
(5)
is the summation of tension failure unit which is beyond the time step; is the transposed of unit geometry matrix; is the stress value of rupture surface of tension failure unit.
In addition, according to the monitoring data simulations shows that the displacement of slope 3157 which near airport changed with time, and then accelerated deformation gradually, until a more stable.
The data of slope simulation and Haizhou mining area monitoring has been very good anastomosis.
(3) Through the simulation of creep ruptuer of layered slope and the data comparison of Haizhou mining area monitoring, it has been very good anastomosis, and provide a good basis for slope prediction and disaster prevention.
In addition, according to the monitoring data simulations shows that the displacement of slope 3157 which near airport changed with time, and then accelerated deformation gradually, until a more stable.
The data of slope simulation and Haizhou mining area monitoring has been very good anastomosis.
(3) Through the simulation of creep ruptuer of layered slope and the data comparison of Haizhou mining area monitoring, it has been very good anastomosis, and provide a good basis for slope prediction and disaster prevention.
Online since: April 2007
Authors: Song Wei Wang, Song Zhe Chen, Jing Ming Xu, Sheng Ming Xu
The XRD data of Fe2O3-SiO2 composites obtained at calcining temperature from 500°C to
900°C are shown in Fig. 1.
£ª Y -Fe 2O3 ¦Á-Fe 2O3 £ª £ª £ª £ª £ª 900 oC 800 oC 700o C 600o C 500 oC £ª 2 theata Intensty Fig. 1 XRD data of the Fe2O3-SiO2 samples heat-treated at different temperatures SEM and TEM results.
The magnetization values decreased with the increase of coating times, because of the content reduction of magnetic material, i.e. γ-Fe2O3, whose contents are 49.6wt%, 34.0wt%, 24.3wt% in γ-Fe2O3-SiO2, SiO2/(γ-Fe2O3-SiO2) and TiO2/SiO2/(γ-Fe2O3-SiO2), respectively, according to ICP results.
Fig. 3 TEM images of TiO2/SiO2/(γ-Fe2O3-SiO2) particles -10000 -5000 0 5000 10000 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 c b a M/(emu/g) H/Oe 0 20 40 60 80 100 120 0 20 40 60 80 100 Degradation rate (%) Time (min) T100 T110 T90 pure TiO2 Fig. 4 VSM data of γ-Fe2O3-SiO2 before coating (a), after SiO2 coating (b) and TiO2 coating (c) Fig. 5 Photocatalytic degradation of salicyl- hydroxamic acid with different photocatalysts Acknowledgement The financial support from National Natural Science Foundation of China (Granted No. 50274045) is gratefully acknowledged.
£ª Y -Fe 2O3 ¦Á-Fe 2O3 £ª £ª £ª £ª £ª 900 oC 800 oC 700o C 600o C 500 oC £ª 2 theata Intensty Fig. 1 XRD data of the Fe2O3-SiO2 samples heat-treated at different temperatures SEM and TEM results.
The magnetization values decreased with the increase of coating times, because of the content reduction of magnetic material, i.e. γ-Fe2O3, whose contents are 49.6wt%, 34.0wt%, 24.3wt% in γ-Fe2O3-SiO2, SiO2/(γ-Fe2O3-SiO2) and TiO2/SiO2/(γ-Fe2O3-SiO2), respectively, according to ICP results.
Fig. 3 TEM images of TiO2/SiO2/(γ-Fe2O3-SiO2) particles -10000 -5000 0 5000 10000 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 c b a M/(emu/g) H/Oe 0 20 40 60 80 100 120 0 20 40 60 80 100 Degradation rate (%) Time (min) T100 T110 T90 pure TiO2 Fig. 4 VSM data of γ-Fe2O3-SiO2 before coating (a), after SiO2 coating (b) and TiO2 coating (c) Fig. 5 Photocatalytic degradation of salicyl- hydroxamic acid with different photocatalysts Acknowledgement The financial support from National Natural Science Foundation of China (Granted No. 50274045) is gratefully acknowledged.
Online since: January 2013
Authors: Alexey N. Uksusnikov, Natalia N. Kuranova, Vladimir G. Pushin, Vladimir V. Makarov
Moreover, the alloys were subjected to uniaxial tension or reduction by rolling and drawing up to 80-90%.
The obtained X-ray diffraction data (Fig. 1 b) also indicate the predominant content of B19' crystallites with the larger interplanar spacings ((002), along the normal to the sample surface (see, scheme in Fig. 2, P=0).
Thus, these data should be interpreted as the baroelastic effect [15], namely, a baroelastic reorientation of predominantly twinning type, when crystals with smaller interplanar spacings ((020), (111), ets., planes) transform into crystals with larger spacings ((002), (11), ets., planes) under unloading.
Fig. 4 demonstrates barrier effect in nonequiatomic alloys that retards the growth of nanograins during the low-temperature annealing (up to 800-850 K) due to the heterogeneous precipitation of highly disperse particles of X-Ti3Ni4 phase, according to TEM data [14].
The obtained X-ray diffraction data (Fig. 1 b) also indicate the predominant content of B19' crystallites with the larger interplanar spacings ((002), along the normal to the sample surface (see, scheme in Fig. 2, P=0).
Thus, these data should be interpreted as the baroelastic effect [15], namely, a baroelastic reorientation of predominantly twinning type, when crystals with smaller interplanar spacings ((020), (111), ets., planes) transform into crystals with larger spacings ((002), (11), ets., planes) under unloading.
Fig. 4 demonstrates barrier effect in nonequiatomic alloys that retards the growth of nanograins during the low-temperature annealing (up to 800-850 K) due to the heterogeneous precipitation of highly disperse particles of X-Ti3Ni4 phase, according to TEM data [14].
Online since: May 2014
Authors: Yi Zhen Liu, Yan Ming Wang, Zhan Wen Liu
In order to make it easier for people to understand, it is further defined as: reduction, embedding, transformation and simulation method, and turn a difficult problem to a method how to solve the problem by what we know.
Data element is used to describe the data involved in the processes, computing components is used to describe the operation, control components is used to express control structure of program and transmission components is used to express data transmission.
Data element is used to describe the data involved in the processes, computing components is used to describe the operation, control components is used to express control structure of program and transmission components is used to express data transmission.
Online since: August 2014
Authors: Luen Chow Chan, C.P. Lai
Combining the advantages of both titanium alloys and TWB technology, titanium tailor-welded blanks (Ti-TWBs) exhibits an excellent corrosion resistance, high strength and work under high temperature [3] which widely used in automobile and aerospace products [4] to achieve the weight reduction and increased performance.
All measured stress-strain data for the weldment, base metal, the computed damage variables, and forming limit curves [13] were extended and able to predict the localized necking of the Ti-TWBs, taking the weldment effect into fully account into.
Figure 4 – Stress-strain relationship of Ti-6Al-4V at RT and 550°C Figure 5 – Measured effective Young’s Modulus of Ti-6Al-4V at 550°C Figure 6 –Measured effective Poisson Ratio of Ti-6Al-4V at 550°C Results of modeling with experimental verification In order to verify the accuracy of the simulation results, these results were compared with the experimental data in terms of LDH value and failure location.
The predicted results were found quite satisfactory and agreed with the experimental data.
All measured stress-strain data for the weldment, base metal, the computed damage variables, and forming limit curves [13] were extended and able to predict the localized necking of the Ti-TWBs, taking the weldment effect into fully account into.
Figure 4 – Stress-strain relationship of Ti-6Al-4V at RT and 550°C Figure 5 – Measured effective Young’s Modulus of Ti-6Al-4V at 550°C Figure 6 –Measured effective Poisson Ratio of Ti-6Al-4V at 550°C Results of modeling with experimental verification In order to verify the accuracy of the simulation results, these results were compared with the experimental data in terms of LDH value and failure location.
The predicted results were found quite satisfactory and agreed with the experimental data.
Online since: December 2014
Authors: Dun Nan Liu, Yan Zhao, Lei Li, Yu Jie Xu
Case analysis
The generation units data of Shanghai in 2013 is taken in this paper.
The range and bidding data of the generation right are show in the Tab.1.
Tab.1 The basic data of each generating units under the carbon trade Units Contract volume (MWh) Carbon quotas (t) Emission factor (g/kwh) Generating capacity (MWh) Generating cost (¥/kWh) Conversion carbon price (¥/kWh) Quote (¥/kWh) Trade intention Unit1 5997419 5199940 814.78 6382016 0.334 0.0652 0.0618 Buy Unit2 5227643 4415181 819.33 5388769 0.337 0.0655 0.0585 Buy Unit3 3245143 2840229 844.35 3363805 0.349 0.0675 0.0445 Buy Unit4 2839461 2461896 850.23 2895565 0.352 0.0680 0.0410 Buy Unit5 1737312 1462950 906.09 1614574 0.357 0.0725 0.0315 Sell Unit6 1556170 1262542 907.01 1391983 0.355 0.0726 0.0334 Sell Unit7 1531433 1327798 909.14 1460499 0.361 0.0727 0.0273 Sell Unit8 1457721 1090481 907.99 1200984 0.363 0.0726 0.0254 Sell Tab.2 Generation trade result with carbon trade Tab.3 Generation trade result without carbon trade Trade order Units Generation (MWh) Price (RMB/kWh) Trade order Units Generation (MWh) Price (RMB/kWh) 1 1-8 256737 0.0436
1 1-8 256737 0.1125 2 1-7 70934 0.0445 2 1-7 70934 0.1135 3 1-5 56927 0.0467 3 1-5 56927 0.1155 4 2-5 65811 0.0450 4 2-5 65811 0.1140 5 2-6 95316 0.0459 5 2-6 95316 0.1150 6 3-6 68871 0.0389 6 3-6 68871 0.1090 According to Tab.2 and Tab.3, under the carbon trade, trade price of generation right has a significant reduction, which will significantly improve the benefit of low-energy units and force the high-energy units to update equipment to improve the efficiency of power generation.
The range and bidding data of the generation right are show in the Tab.1.
Tab.1 The basic data of each generating units under the carbon trade Units Contract volume (MWh) Carbon quotas (t) Emission factor (g/kwh) Generating capacity (MWh) Generating cost (¥/kWh) Conversion carbon price (¥/kWh) Quote (¥/kWh) Trade intention Unit1 5997419 5199940 814.78 6382016 0.334 0.0652 0.0618 Buy Unit2 5227643 4415181 819.33 5388769 0.337 0.0655 0.0585 Buy Unit3 3245143 2840229 844.35 3363805 0.349 0.0675 0.0445 Buy Unit4 2839461 2461896 850.23 2895565 0.352 0.0680 0.0410 Buy Unit5 1737312 1462950 906.09 1614574 0.357 0.0725 0.0315 Sell Unit6 1556170 1262542 907.01 1391983 0.355 0.0726 0.0334 Sell Unit7 1531433 1327798 909.14 1460499 0.361 0.0727 0.0273 Sell Unit8 1457721 1090481 907.99 1200984 0.363 0.0726 0.0254 Sell Tab.2 Generation trade result with carbon trade Tab.3 Generation trade result without carbon trade Trade order Units Generation (MWh) Price (RMB/kWh) Trade order Units Generation (MWh) Price (RMB/kWh) 1 1-8 256737 0.0436
1 1-8 256737 0.1125 2 1-7 70934 0.0445 2 1-7 70934 0.1135 3 1-5 56927 0.0467 3 1-5 56927 0.1155 4 2-5 65811 0.0450 4 2-5 65811 0.1140 5 2-6 95316 0.0459 5 2-6 95316 0.1150 6 3-6 68871 0.0389 6 3-6 68871 0.1090 According to Tab.2 and Tab.3, under the carbon trade, trade price of generation right has a significant reduction, which will significantly improve the benefit of low-energy units and force the high-energy units to update equipment to improve the efficiency of power generation.
Online since: October 2013
Authors: Joanna M. Dulinska, Dorota Jasinska
The main data of the investigated pipeline
The investigated 5-span pipeline is laid above the ground andfounded on six concrete supports.The length of each span of the pipeline is 20 m.
The CDP model assumes that the reduction of the elastic modulus is given in terms of a scalar degradation variable SDEG as: E = (1 – SDEG) E0, where E0 is the initial (undamaged) modulus of the material.
Table 1 Constitutive parameters of the concrete damaged plasticity model [8] Concrete tensionstiffening Concrete tension damage Concrete compression hardening Concrete compression damage Stress [MPa] Cracking strain [-] dt [-] Cracking strain [-] Stress [MPa] Crushing strain [-] dc [-] Crushing strain [-] 1.99893 0.0 0.0 0.0 15.0 0.0 0.0 0.0 2.842 0.00003333 0.0 0.00003333 20.197804 0.0000747307 0.0 0.0000747307 1.86981 0.000160427 0.406411 0.000160427 30.000609 0.0000988479 0.0 0.0000988479 0.862723 0.000279763 0.69638 0.000279763 40.303781 0.000154123 0.0 0.000154123 0.226254 0.000684593 0.920389 0.000684593 50.007692 0.000761538 0.0 0.000761538 0.056576 0.00108673 0.980093 0.00108673 40.236090 0.002557559 0.195402 0.002557559 20.236090 0.005675431 0.596382 0.005675431 5.257557 0.011733119 0.894865 0.011733119 Seismic input data In this study a real seismic shock of magnitude 3.8 in Richter scale that occurred in January 2012 in Poland was used as thekinematic excitation of the pipeline
For the purpose of this study the registered data wasscaled up, so the peak ground acceleration raised to 0.6 m/s2 in WE direction, 0.4 m/s2 in NS direction and 0.2 m/s2 in vertical direction Z.
The CDP model assumes that the reduction of the elastic modulus is given in terms of a scalar degradation variable SDEG as: E = (1 – SDEG) E0, where E0 is the initial (undamaged) modulus of the material.
Table 1 Constitutive parameters of the concrete damaged plasticity model [8] Concrete tensionstiffening Concrete tension damage Concrete compression hardening Concrete compression damage Stress [MPa] Cracking strain [-] dt [-] Cracking strain [-] Stress [MPa] Crushing strain [-] dc [-] Crushing strain [-] 1.99893 0.0 0.0 0.0 15.0 0.0 0.0 0.0 2.842 0.00003333 0.0 0.00003333 20.197804 0.0000747307 0.0 0.0000747307 1.86981 0.000160427 0.406411 0.000160427 30.000609 0.0000988479 0.0 0.0000988479 0.862723 0.000279763 0.69638 0.000279763 40.303781 0.000154123 0.0 0.000154123 0.226254 0.000684593 0.920389 0.000684593 50.007692 0.000761538 0.0 0.000761538 0.056576 0.00108673 0.980093 0.00108673 40.236090 0.002557559 0.195402 0.002557559 20.236090 0.005675431 0.596382 0.005675431 5.257557 0.011733119 0.894865 0.011733119 Seismic input data In this study a real seismic shock of magnitude 3.8 in Richter scale that occurred in January 2012 in Poland was used as thekinematic excitation of the pipeline
For the purpose of this study the registered data wasscaled up, so the peak ground acceleration raised to 0.6 m/s2 in WE direction, 0.4 m/s2 in NS direction and 0.2 m/s2 in vertical direction Z.
Online since: May 2013
Authors: Hui Ming Zou, Guo Hong Peng, Chang Qing Tian, Ming Sheng Tang, Xu Chen
Introduction
Linear compressors have been studied for many years due to their potential for cost reduction and high efficiency.
Thus: (11) Then the phase difference is: (12) The relationship between the amplitude and autocorrelation function is: , (13) For digital correlation function which processes discrete data after continual sampling, the formulas are: (14) (15) (16) N is the number of sampling points.
Then the stroke and current are sent to the LabVIEW platform on PC which collect and save data in excel files through the NI PCI-6221 data acquisition card.
Thus: (11) Then the phase difference is: (12) The relationship between the amplitude and autocorrelation function is: , (13) For digital correlation function which processes discrete data after continual sampling, the formulas are: (14) (15) (16) N is the number of sampling points.
Then the stroke and current are sent to the LabVIEW platform on PC which collect and save data in excel files through the NI PCI-6221 data acquisition card.