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Online since: June 2025
Authors: Mohamed M. Mahmoud, Adel Mohamed H. Elmetwalli, Asaad Derbala, El-Khatib S. Ismail
The possibilities for rainfall, the reservoir preservation and water-related reduction were determined utilizing the Netuno programming tool [2].
Water-efficient equipment installation showed potential for a 28.9% reduction in sewage [6].
· TSS: Measured to determine the reduction in suspended particles
These post-filtration values are within acceptable limits for pre-treatment, showing an effective reduction in BOD and COD levels through filtration.
The data cleared that the total cost was about 780 EPG (15.6 $).
Water-efficient equipment installation showed potential for a 28.9% reduction in sewage [6].
· TSS: Measured to determine the reduction in suspended particles
These post-filtration values are within acceptable limits for pre-treatment, showing an effective reduction in BOD and COD levels through filtration.
The data cleared that the total cost was about 780 EPG (15.6 $).
Online since: February 2013
Authors: Eric Jan Mittemeijer, Ralf E. Schacherl, Benjamin Schwarz, Regina E. Hörth, Ewald Bischoff
The nitrides precipitated upon nitriding in the bulk were found to be unstable during H2 reduction at 470°C.
To this end the XRD-patterns recorded from the surface of the nitrided specimens were analyzed employing the software X´Pert HighScore and utilizing the data-base of the International Center for Diffraction Data (ICCD) [8].
§ The nitrides in the bulk are unstable with respect to hydrogen reduction at 470°C, which results in their dissolution leaving W-rich regions (“W-clusters”) at the locations of the original nitride precipitates, due to the very low diffusivity of W in ferrite at 470°C.
[8] International Center for Diffraction Data (ICDD): PDF-2 (2002)
To this end the XRD-patterns recorded from the surface of the nitrided specimens were analyzed employing the software X´Pert HighScore and utilizing the data-base of the International Center for Diffraction Data (ICCD) [8].
§ The nitrides in the bulk are unstable with respect to hydrogen reduction at 470°C, which results in their dissolution leaving W-rich regions (“W-clusters”) at the locations of the original nitride precipitates, due to the very low diffusivity of W in ferrite at 470°C.
[8] International Center for Diffraction Data (ICDD): PDF-2 (2002)
Online since: September 2011
Authors: Bing Chen, Ting Yang, Jun De Qi
Moreover the fault is predicted respectively according to amount of data sample.
Through the generating method of gray process, a random data column could be transformed into a column of data with strong regularity.
When data quantity is small sample data, running time of machine is relatively short.
Therefore the grey theory is introduced to process the large sample data in order to avoid the error caused by the difference in large sample data.
Finally predictive values could be obtained through the regressive reduction.
Through the generating method of gray process, a random data column could be transformed into a column of data with strong regularity.
When data quantity is small sample data, running time of machine is relatively short.
Therefore the grey theory is introduced to process the large sample data in order to avoid the error caused by the difference in large sample data.
Finally predictive values could be obtained through the regressive reduction.
Online since: May 2015
Authors: Emilia Roxana Florea, Cristina Neculache
Fast access to data and manufacturers resources is desirable.
Ease of manufacturing is possible by products complexity reduction.
Data and groups of data are organized in fields as entities (objects, events) and records (attributes of objects or events) on datasheets.
Entities represent elements for which data should be stored.
Data for all tools, inserts and machines are stored.
Ease of manufacturing is possible by products complexity reduction.
Data and groups of data are organized in fields as entities (objects, events) and records (attributes of objects or events) on datasheets.
Entities represent elements for which data should be stored.
Data for all tools, inserts and machines are stored.
Online since: June 2014
Authors: Berend Denkena, Tanja Spremberg, Ingo Engler
The reduction of the run-in period affects the wear during the motor life time.
The absolute humidity can be calculated from these data [8].
The reduction of the maximum current indicates the existence of an interface layer, called patina.
The absolute humidity has small variations during the experiments, but the measured data are within the optimum values between 8 and 15 g/m3 proposed by Schunk [7].
The absolute humidity can be calculated from these data [8].
The reduction of the maximum current indicates the existence of an interface layer, called patina.
The absolute humidity has small variations during the experiments, but the measured data are within the optimum values between 8 and 15 g/m3 proposed by Schunk [7].
Online since: May 2014
Authors: Xavier Cerutti, Katia Mocellin
In aeronautics weight reduction of aircrafts has become one of the main objectives.
Introduction In the aerospace industry the need to reduce the environmental impact of aircrafts (reduction of fuel consumption) has led to the fact that most of the aircraft parts made of aluminium are large monolithic parts.
The initial residual stress profiles are the main input data for the machining simulation.
Residual stress fields from a previous simulation can also be used as input data for the simulation of the machining process.
Introduction In the aerospace industry the need to reduce the environmental impact of aircrafts (reduction of fuel consumption) has led to the fact that most of the aircraft parts made of aluminium are large monolithic parts.
The initial residual stress profiles are the main input data for the machining simulation.
Residual stress fields from a previous simulation can also be used as input data for the simulation of the machining process.
Online since: February 2013
Authors: Yao Chen Qin, Ya Li Li
And the carbon emissions for 100 million yuan GDP is increasing.Finally, some measures are proposed for the carbon emission reduction in Zhengzhou.
Data sources and research methods IPCC shows that the increasement concentration of co2 in atmospheric is the main reason leading to the rise of future global surface temperature[7], and the increasement concentration of co2 in atmospheric mainly comes from fossil fuel combustion, industrial production process and other human activities[8].So carbon emissions caued by economy development and energy consumption is a research hotspot to explore effects of human activity on the global carbon cycle.
This paper dicussed the dynamic changes of carbon emission from energy, cement production and population based on the data of Henan Statistical Yearbook and Henan Yearbook between 2000 and 2009 in Zhengzhou Calculation method of Carbon Emission in Energy Consumption Carbon emission of energy consumption uses the method of carbon coefficient,which is the statistical average value of the volumes of gas discharged by unit product in the normal technology economy and management conditions.The formula is as follows (1) where is carbon emission; is carbon emission of unit product ,that is carbon coefficient and is the quanlity of product in the formula.
But with the economic crisis in 2009 , demands of various industries for the coal droped and the proportion of carbon emission of the coal decreased to 92% in 2009 from 2000 96% .On the contrary, the proportion of carbon emissions of natural gas significantly increased, that indicates structure of carbon emission of the energy haschanged Measures of energy-saving and emission reduction has initial success.
Data sources and research methods IPCC shows that the increasement concentration of co2 in atmospheric is the main reason leading to the rise of future global surface temperature[7], and the increasement concentration of co2 in atmospheric mainly comes from fossil fuel combustion, industrial production process and other human activities[8].So carbon emissions caued by economy development and energy consumption is a research hotspot to explore effects of human activity on the global carbon cycle.
This paper dicussed the dynamic changes of carbon emission from energy, cement production and population based on the data of Henan Statistical Yearbook and Henan Yearbook between 2000 and 2009 in Zhengzhou Calculation method of Carbon Emission in Energy Consumption Carbon emission of energy consumption uses the method of carbon coefficient,which is the statistical average value of the volumes of gas discharged by unit product in the normal technology economy and management conditions.The formula is as follows (1) where is carbon emission; is carbon emission of unit product ,that is carbon coefficient and is the quanlity of product in the formula.
But with the economic crisis in 2009 , demands of various industries for the coal droped and the proportion of carbon emission of the coal decreased to 92% in 2009 from 2000 96% .On the contrary, the proportion of carbon emissions of natural gas significantly increased, that indicates structure of carbon emission of the energy haschanged Measures of energy-saving and emission reduction has initial success.
Online since: October 2006
Authors: Masakazu Katsuno, Noboru Ohtani, Tatsuo Fujimoto, Masashi Nakabayashi
We conclude from our data that the CTE variations are likely to be almost
independent of the crystal axis directions of SiC from 123 K up to 1573 K.
Values of the CTE were calculated from the temperature-dependent strain data by adopting an averaging equation of α = strain/ΔT.
Prior to the CTE calculations, we attempted to adopt various order of polynomials equations from 3 rd to 9 th for fitting the strain data we obtained.
Fig. 2 shows the resultant data of the CTEs in the temperature range between 173 K and 423 K calculated from the equations (1) and (2).
As shown in fig. 3 the strain data for three major crystal axis directions are likely to have no significant difference in a higher temperature range.
Values of the CTE were calculated from the temperature-dependent strain data by adopting an averaging equation of α = strain/ΔT.
Prior to the CTE calculations, we attempted to adopt various order of polynomials equations from 3 rd to 9 th for fitting the strain data we obtained.
Fig. 2 shows the resultant data of the CTEs in the temperature range between 173 K and 423 K calculated from the equations (1) and (2).
As shown in fig. 3 the strain data for three major crystal axis directions are likely to have no significant difference in a higher temperature range.
Online since: February 2017
Authors: Anak Khantachawana, Wassana Wichai, Surachai Dechkunakorn, Niwat Anuwongnukroh, Pongpan Kaewtatip, Aphinan Phukaoluan, Julathep Kajornchaiyakul
The alloys were subsequently sliced into thin plates (1.5mm) by EDM wire cutting machine to obtain the specimens and were cold-rolled with 30% reduction followed by heat treatment in a furnace at 400oC for 1 hour.
It is concluded that the fabricated ternary alloy of 46.0 Ni: 49.0 Ti: 5.0 Cu (atomic weight) with 30% reduction and heat treatment at 400oC for 1 hr. and Ormco 35oC NiTiCu presented the characteristics of both superelastic and shape memory in their wire form.
Subsequently, the cast ingots were sliced into a thin bar with thickness of 1.5 mm using an EDM wire cutting machine, cold-rolled at 30% reduction and annealed at 400oC for 60 min.
Results The load-deflection curve was drawn from the stored data and then analyzed visually (Fig. 1 and Fig. 2), which showed two curves, an upper loading curve and a lower unloading curve.
It is concluded that the fabricated ternary alloy of 46.0 Ni: 49.0 Ti: 5.0 Cu (atomic weight) with 30% reduction and heat treatment at 400oC for 1 hr. and Ormco 35oC NiTiCu presented the characteristics of both superelastic and shape memory in their wire form.
Subsequently, the cast ingots were sliced into a thin bar with thickness of 1.5 mm using an EDM wire cutting machine, cold-rolled at 30% reduction and annealed at 400oC for 60 min.
Results The load-deflection curve was drawn from the stored data and then analyzed visually (Fig. 1 and Fig. 2), which showed two curves, an upper loading curve and a lower unloading curve.
Online since: July 2014
Authors: K. Kathiresan, M. Venkatesan, J. Adhavan
The temperature is measured continuously using a K type thermocouple and is recorded using an online data acquisition system.
The online measurement of temperature is done by using a National Instruments cDAQ -9174 chassis with NI 9211 four channeled Data acquisition system designed for thermocouples.
Fig. 4.Bubble formation on the surface at 150°C Results and discussion: The variation in temperature with the evaporation time is analyzed using the values stored using data acquisition system.
Also, the time obtained till which the temperature reaches that of the initial surface temperature without the droplet is recorded from the results stored using Data Acquisition system.
The reduction in temperature will retard the rate of pad wear.
The online measurement of temperature is done by using a National Instruments cDAQ -9174 chassis with NI 9211 four channeled Data acquisition system designed for thermocouples.
Fig. 4.Bubble formation on the surface at 150°C Results and discussion: The variation in temperature with the evaporation time is analyzed using the values stored using data acquisition system.
Also, the time obtained till which the temperature reaches that of the initial surface temperature without the droplet is recorded from the results stored using Data Acquisition system.
The reduction in temperature will retard the rate of pad wear.