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Online since: July 2012
Authors: Mohammad Azmi Bustam, Siti Munirah Hasanaly, Zakaria Man
Based on literature, the next irreversible reaction for tin phosphate based system is often assigned to the reduction of tin phosphate to form the irreversible lithium phosphate phases (Li3PO4 and LiPO3) [14].
However, for this synthesized mesoporous SnP2O7, it was discovered that there are two energetically different environments for the reduction of SnP2O7 to occur.
It was hypothesized that some partially reduced tin phosphate (Sn0.5PO3) may be formed simultaneously during the initial reduction reaction of mesoporous SnP2O7 at the potential site of 1.10 V.
Therefore, the reduction reaction in the first cycle for mesoporous SnP2O7 was assumed to proceed in the following stepwise order; The irreversible electrochemical reactions at 1.10 V and 0.69 V are attributed to reaction (1) and (2), respectively.
Relating the pore size data with the cycling behaviour of the mesoporous SnP2O7 anodes observed in Figure 4 revealed that capacity retention tends to increase with increasing pore size.
However, for this synthesized mesoporous SnP2O7, it was discovered that there are two energetically different environments for the reduction of SnP2O7 to occur.
It was hypothesized that some partially reduced tin phosphate (Sn0.5PO3) may be formed simultaneously during the initial reduction reaction of mesoporous SnP2O7 at the potential site of 1.10 V.
Therefore, the reduction reaction in the first cycle for mesoporous SnP2O7 was assumed to proceed in the following stepwise order; The irreversible electrochemical reactions at 1.10 V and 0.69 V are attributed to reaction (1) and (2), respectively.
Relating the pore size data with the cycling behaviour of the mesoporous SnP2O7 anodes observed in Figure 4 revealed that capacity retention tends to increase with increasing pore size.
Online since: July 2017
Authors: Carmine D'Auria, Adolfo Senatore, Mario Pisaturo
Introduction
Cost reduction and enhancing of control systems and sensors capabilities are speeding up the endless process aimed at increasing driver’s and passengers’ comfort, vehicle performance and overall safety [1,2].
The availability of dependable frictional maps provides reduction of control engineers’ effort and time to calibrate such systems.
Unfortunately, suppliers of clutch assembly normally provide frictional response data of facing materials only when undergone to critical conditions to provide the proof of material resistance in extreme and prolonged high-stress operation [15,16].
Rousseau, Development of a model of the dual clutch transmission in autonomie and validation with dynamometer test data, Int.
[15] R-233 Friction Characteristics from Small Sample Tests - Technical data, 1996
The availability of dependable frictional maps provides reduction of control engineers’ effort and time to calibrate such systems.
Unfortunately, suppliers of clutch assembly normally provide frictional response data of facing materials only when undergone to critical conditions to provide the proof of material resistance in extreme and prolonged high-stress operation [15,16].
Rousseau, Development of a model of the dual clutch transmission in autonomie and validation with dynamometer test data, Int.
[15] R-233 Friction Characteristics from Small Sample Tests - Technical data, 1996
Online since: February 2017
Authors: Wei Lian Qu, Er Nian Zhao, Qiang Zhou, Li Zhen Huang
It can be noticed that fatigue test data of PB specimens and partial CLG specimens (toe failure) apparently deviate from the fatigue S-N curve in the extremely low cycle and low cycle region, showing shorter fatigue lives.
(a) (b) (c) Fig. 3 Comparison between the fatigue data obtained and IIW fatigue detail categories.
According to Kuroda [13], the reduction of fatigue resistance in extremely low-cycle region is mainly caused by the ductility exhaustion of material under large plastic cyclic loading.
The extremely low-cycle fatigue occurs when the materials enter deep plastic, which result in significant reduction of fatigue lives.
Compared with the similar welded structural details in IIW Fatigue Recommendation, it can be concluded that the fatigue test data of these welded details in extremely low cycle fatigue region evidently deviated from the fatigue S-N curves, showing shorter fatigue life
(a) (b) (c) Fig. 3 Comparison between the fatigue data obtained and IIW fatigue detail categories.
According to Kuroda [13], the reduction of fatigue resistance in extremely low-cycle region is mainly caused by the ductility exhaustion of material under large plastic cyclic loading.
The extremely low-cycle fatigue occurs when the materials enter deep plastic, which result in significant reduction of fatigue lives.
Compared with the similar welded structural details in IIW Fatigue Recommendation, it can be concluded that the fatigue test data of these welded details in extremely low cycle fatigue region evidently deviated from the fatigue S-N curves, showing shorter fatigue life
Online since: July 2022
Authors: Tatsuya Funazuka, Kuniaki Dohda, Norio Takatsuji, Kaito Takano, Ngernbamrung Sukunthakan
Introduction
The 7000 series aluminum alloy is a high strength alloy to be used in a wide variety of products for the purpose of weight reduction in the transportation equipment and aerospace fields.
These data was recorded via computer connecting.
The material model was referred to the material data of AA7075 in DE-FORM.
In the hot extrusion simulation, the die and container were cooled and the heat generated during processing was observed because the material data such as deformation characteristics changed when the billet was brought to room temperature.
In addition, it was shown that the reduction of work heating leads to the reduction of tearing.
These data was recorded via computer connecting.
The material model was referred to the material data of AA7075 in DE-FORM.
In the hot extrusion simulation, the die and container were cooled and the heat generated during processing was observed because the material data such as deformation characteristics changed when the billet was brought to room temperature.
In addition, it was shown that the reduction of work heating leads to the reduction of tearing.
Online since: December 2012
Authors: Yong Fang Li
The key of development of low carbon transport is to optimize the transport energy structure, to reduce the heavy reliance on fossil high-carbon fuels gradually, through developing the new energy and new technology, to realize the process from carbon reduction to zero carbon emission.
According to research data show that the per capita energy consumption of car is the largest, almost four times of the bus; rail transportation is the lowest, only 31.25% of the bus, 8.45% of the car, the emissions of carbon oxides, nitrogen oxides and sulfur oxide of rail transport is 3.75%, 71.43%, 52.63% of bus. [3] According to the accurate calculation of the experts, if the 1% of individual car trips switches to public transport in China, the country each year will save fuel 80 million liters. [4] These data shows that the higher the proportion of the transport system with rail transit, public transport, the more low-carbon environmental, and more cost-effective.
It can transport people to all downtown locations smoothly and comfortably. [7] Statistical data analysis shows that in European cities, the per capita energy consumption is lower than that of the United States.
Through control, transformation and upgrade technology of emission standards of public transport tools, improve emissions control standards, vigorously develop the hybrid, natural gas vehicles, trolley electric buses and other new energy vehicles and clean energy vehicles, and give full play to the demonstration effect of them in the aspect of low carbon and emission reduction [9].
Develop and perfect higher standards than the national standard, the standard of the industry standard, such as the use of the quota management system, the labor material and financial resources, to reasonably arrange and use, and to promote carbon reduction from soft to hard. [9] The Optimization of the Organization and Management of Public Transport.
According to research data show that the per capita energy consumption of car is the largest, almost four times of the bus; rail transportation is the lowest, only 31.25% of the bus, 8.45% of the car, the emissions of carbon oxides, nitrogen oxides and sulfur oxide of rail transport is 3.75%, 71.43%, 52.63% of bus. [3] According to the accurate calculation of the experts, if the 1% of individual car trips switches to public transport in China, the country each year will save fuel 80 million liters. [4] These data shows that the higher the proportion of the transport system with rail transit, public transport, the more low-carbon environmental, and more cost-effective.
It can transport people to all downtown locations smoothly and comfortably. [7] Statistical data analysis shows that in European cities, the per capita energy consumption is lower than that of the United States.
Through control, transformation and upgrade technology of emission standards of public transport tools, improve emissions control standards, vigorously develop the hybrid, natural gas vehicles, trolley electric buses and other new energy vehicles and clean energy vehicles, and give full play to the demonstration effect of them in the aspect of low carbon and emission reduction [9].
Develop and perfect higher standards than the national standard, the standard of the industry standard, such as the use of the quota management system, the labor material and financial resources, to reasonably arrange and use, and to promote carbon reduction from soft to hard. [9] The Optimization of the Organization and Management of Public Transport.
Online since: January 2015
Authors: Yuri B. Lishmanov, Zhaneta V. Vesnina
Heart failure (HF) is the cause of renal dysfunction due to the reduction of renal perfusion and increase in renal vascular resistance [3, 4].
But biochemical analysis data reflecting renal function may remain without pathological changes for a long time.
The low energy collimators were used for data collection.
It should be said that as a result of clinical preoperative examination HF of I- IIA stages was diagnosed in all patients which, as it has been mentioned, is not accompanied with GFR reduction.
The data obtained once again prove the extensive diagnostic possibilities of radionuclide method in renal dysfunction detection, even at the stage when there are no clinical and biochemical manifestations of renal disease.
But biochemical analysis data reflecting renal function may remain without pathological changes for a long time.
The low energy collimators were used for data collection.
It should be said that as a result of clinical preoperative examination HF of I- IIA stages was diagnosed in all patients which, as it has been mentioned, is not accompanied with GFR reduction.
The data obtained once again prove the extensive diagnostic possibilities of radionuclide method in renal dysfunction detection, even at the stage when there are no clinical and biochemical manifestations of renal disease.
Online since: November 2019
Authors: G.V. Naveen Prakash, A. Anand, B.S. Nithyananda
Table-1 shows the reduction in FFA% after conversion of oil into biodiesel in various stages.
Table 3 Engine specification The engine performance analysis software “Enginesoft” is used to collect the performance data of the engine online.
The data collected by ECU helps is in evaluating the performance of the engine with the aid of Enginesoft software.
There is a reduction of BTHE for biodiesel which might be because of low Calorific value for Biodiesel PB20. 2.
The pressure variation data is captured directly with the aid of engine performance analysis software “Enginesoft” and pressure sensors.
Table 3 Engine specification The engine performance analysis software “Enginesoft” is used to collect the performance data of the engine online.
The data collected by ECU helps is in evaluating the performance of the engine with the aid of Enginesoft software.
There is a reduction of BTHE for biodiesel which might be because of low Calorific value for Biodiesel PB20. 2.
The pressure variation data is captured directly with the aid of engine performance analysis software “Enginesoft” and pressure sensors.
Online since: April 2016
Authors: Juraj Beniak, Miloš Matúš, Peter Križan
This data is needed for designing and optimizing the structure of compacting machines and their functional components.
With this data, it will be possible to optimize machine design in terms of strength, energy and minimizing production costs.
The reduction in the volume of the particulate matter causes a significant increase in the bulk density, and a reduction in porosity.
Data for evaluating particulate compressibility is obtained by the dependence of the compacting force on the displacement of the piston of the oedometer.
From Fig. 6 and Fig. 7 it is obvious that using the same pressure in the compression the density change increases with the reduction of sawdust fraction size.
With this data, it will be possible to optimize machine design in terms of strength, energy and minimizing production costs.
The reduction in the volume of the particulate matter causes a significant increase in the bulk density, and a reduction in porosity.
Data for evaluating particulate compressibility is obtained by the dependence of the compacting force on the displacement of the piston of the oedometer.
From Fig. 6 and Fig. 7 it is obvious that using the same pressure in the compression the density change increases with the reduction of sawdust fraction size.
Online since: December 2018
Authors: David Martin, Ville Ritola, Pasi Suikkanen, Magnus Carlsson, Juha Pyykkönen
In other works it was found that an increase in the total reduction in the non-recrystallization regime of austenite in conjunction with lower finish rolling temperature leads to improved strength and impact toughness without a significant decrease in ductility in bainitic/martensitic structural steels [1, 3].
Hot deformation behaviour of the test compositions were analysed in a Gleeble 3800 Hydrawedge thermomechanical simulator using Ø 10 x 15 mm uniaxial samples for generating flow stress and stress relaxation data as a function of temperature, strain and strain rate.
The stress relaxation data from these experiments was analysed using a model based procedure assumed simultaneous recovery and static recrystallization and softening model parameters fitted for subsequent computational optimization of rolling schedules.
As a final step, a number of different rolling schedules were simulated using industrial plate rolling data in order to evaluate model performance, and grain sizes predictions compared to measured grain sizes in rolled plate.
In the final stage of the optimization process, the finish rolling temperature was set to a level that both maintained productivity in the plate mill, while at the same time achieving higher reductions at the critical pass of the rolling schedule in order to produce a fully recrystallized microstructure with a fine and uniform through thickness grain size.
Hot deformation behaviour of the test compositions were analysed in a Gleeble 3800 Hydrawedge thermomechanical simulator using Ø 10 x 15 mm uniaxial samples for generating flow stress and stress relaxation data as a function of temperature, strain and strain rate.
The stress relaxation data from these experiments was analysed using a model based procedure assumed simultaneous recovery and static recrystallization and softening model parameters fitted for subsequent computational optimization of rolling schedules.
As a final step, a number of different rolling schedules were simulated using industrial plate rolling data in order to evaluate model performance, and grain sizes predictions compared to measured grain sizes in rolled plate.
In the final stage of the optimization process, the finish rolling temperature was set to a level that both maintained productivity in the plate mill, while at the same time achieving higher reductions at the critical pass of the rolling schedule in order to produce a fully recrystallized microstructure with a fine and uniform through thickness grain size.
Online since: August 2012
Authors: Marcos Flavio de Campos
Databases on diffusion coefficient data are incomplete and in many cases do not provide detailed information about data reliability.
A recent review by Kattner and Campbell [9] indicates many databases where diffusion data may be found.
But the diffusion data for rare-earth transition metals have not been determined with this method.
Data about diffusion in rare-earth atoms are very scarce, and most of the available data is about Cerium [12].
Other authors [49-52] have also published some diffusion data, which were included in Tables I and II.
A recent review by Kattner and Campbell [9] indicates many databases where diffusion data may be found.
But the diffusion data for rare-earth transition metals have not been determined with this method.
Data about diffusion in rare-earth atoms are very scarce, and most of the available data is about Cerium [12].
Other authors [49-52] have also published some diffusion data, which were included in Tables I and II.