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Online since: October 2013
Authors: S. Natarajan, N.V. Mahalakshmi, S. Sundarraj
The part injected ethanol and direct injected diesel were tested in various proportions, to optimize the operating range, and the same setup was tested with various % of EGR.The obtained results include data plots illustrating the performance, combustion and emission characteristics.
It can be observed that the rate of heat release in the premixed combustion zone decreases with higher premixed ratios, which may be the reason for NOx reduction.
The combustion in the diffusion combustion zone diminished when the premixed ratio increases, which might be the cause for the reduction in the smoke intensity and NOx reduction compared to base diesel.
There was about 52 % reduction in the NOx emission while using 20% premixed ratio at full load.
Nearly 52% reduction in NOx emissions was achieved with 20% of ethanol as premixed fuel. 86 % reduction in NOx was achieved at 75% load and 20% EGR
It can be observed that the rate of heat release in the premixed combustion zone decreases with higher premixed ratios, which may be the reason for NOx reduction.
The combustion in the diffusion combustion zone diminished when the premixed ratio increases, which might be the cause for the reduction in the smoke intensity and NOx reduction compared to base diesel.
There was about 52 % reduction in the NOx emission while using 20% premixed ratio at full load.
Nearly 52% reduction in NOx emissions was achieved with 20% of ethanol as premixed fuel. 86 % reduction in NOx was achieved at 75% load and 20% EGR
Online since: March 2019
Authors: Markus Bambach, Michael Herty
The results of isothermal compression with friction show that both an acceleration of the process and a reduction of damage are possible using the suggested control strategy.
The use of TiAl alloys with a density of approx. 3.9 g / cm3 pursues the goal of replacing the heavy nickel-based superalloys currently used in the high-temperature range, thus achieving a drastic weight reduction.
The constitutive equations relating the flow stress with temperature, strain rate and strain are calibrated from the data of the hot compression tests.
The problem can be stated as follows: (7) The problem is hence to minimize the process time t1, which is necessary to form the specimen to a height reduction of Dh, while keeping the damage variable D smaller than a critical value and recrystallization above 95% at the outer radius of the workpiece, given by the domain W.
McQueen, New formula for calculating flow curves from high temperature constitutive data for 300 austenitic steels, J.
The use of TiAl alloys with a density of approx. 3.9 g / cm3 pursues the goal of replacing the heavy nickel-based superalloys currently used in the high-temperature range, thus achieving a drastic weight reduction.
The constitutive equations relating the flow stress with temperature, strain rate and strain are calibrated from the data of the hot compression tests.
The problem can be stated as follows: (7) The problem is hence to minimize the process time t1, which is necessary to form the specimen to a height reduction of Dh, while keeping the damage variable D smaller than a critical value and recrystallization above 95% at the outer radius of the workpiece, given by the domain W.
McQueen, New formula for calculating flow curves from high temperature constitutive data for 300 austenitic steels, J.
Online since: December 2012
Authors: Murali Maheswari, Gopalakrishnan Seetharaman
The input data is given to row column interleaver and m2 columns are encoded using extended Hamming column encoder.
The encoded data is applied to the extended Hamming row decoder for decoding.
The previous row decoded data stored in the buffer is row-column interleaved.
The column parity check bits and row column interleaved data are passed to the second stage column decoding.
Data Out Coded Data CCV RCV Decoded Data RCV: Row Condition Vector CCV: Column Condition Vector Column Decoders Registers RCV Control Logic NACK to Encoder Row Column Interleaver Registers Row Decoders Check Bits Keyboard Scan Based Error Flipping Data Buffer Fig. 2 Block Diagram of the Proposed Decoder (i) Keyboard Scan Based Error Flipping: In this paper, we propose keyboard scan based error flipping in place of the third stage row decoders in the existing work of [6-8].
The encoded data is applied to the extended Hamming row decoder for decoding.
The previous row decoded data stored in the buffer is row-column interleaved.
The column parity check bits and row column interleaved data are passed to the second stage column decoding.
Data Out Coded Data CCV RCV Decoded Data RCV: Row Condition Vector CCV: Column Condition Vector Column Decoders Registers RCV Control Logic NACK to Encoder Row Column Interleaver Registers Row Decoders Check Bits Keyboard Scan Based Error Flipping Data Buffer Fig. 2 Block Diagram of the Proposed Decoder (i) Keyboard Scan Based Error Flipping: In this paper, we propose keyboard scan based error flipping in place of the third stage row decoders in the existing work of [6-8].
Online since: May 2009
Authors: T. Vargas, B. Escobar, P. Diáz
This design permitted an accurate
determination of bacterial population during the experiment and enabled the involvement of ferric
iron reduction with carbon to be evidenced.
It could be observed that bacteria could grow in this condition evidencing that bacteria was in fact oxidizing ferrous ion produced from reduction of ferric by carbon.
A mathematical model was developed which incorporated expressions for the kinetic of bacterial oxidation of ferrous ion and the chemical reduction of ferric ion.
In fact, some authors have observed a significant Eh reduction in the presence of carbon, but the influence of this factor has not been clearly evaluated [3].
A regression analysis of that experimental data led to the following kinetic expression for the rate of ferrous ion formation [4]
It could be observed that bacteria could grow in this condition evidencing that bacteria was in fact oxidizing ferrous ion produced from reduction of ferric by carbon.
A mathematical model was developed which incorporated expressions for the kinetic of bacterial oxidation of ferrous ion and the chemical reduction of ferric ion.
In fact, some authors have observed a significant Eh reduction in the presence of carbon, but the influence of this factor has not been clearly evaluated [3].
A regression analysis of that experimental data led to the following kinetic expression for the rate of ferrous ion formation [4]
Online since: September 2014
Authors: Jin Peng Tang, Ling Lin Li
The mobile user data analysis: to extraction and analysis of the data that is acquired by mobile users, and reduce data packet by analyzing the network protocol reduction, extracted text data the audit need.
So they must compose all data packet of two-way transmission, finally achieve data reduction.
Fig.2 Data acquisition mode 2 Data Analysis Module The collection of data packets are coming with the TCP/IP header, the need for parsing data packet and extracting data of text.
The data were complete reduction, so as to achieve a complete audit data in mobile internet.
In this paper, we used the method of TCP/IP data reduction.
So they must compose all data packet of two-way transmission, finally achieve data reduction.
Fig.2 Data acquisition mode 2 Data Analysis Module The collection of data packets are coming with the TCP/IP header, the need for parsing data packet and extracting data of text.
The data were complete reduction, so as to achieve a complete audit data in mobile internet.
In this paper, we used the method of TCP/IP data reduction.
Online since: October 2008
Authors: Li Zhi Gu, Yong Lin Li
CSG modeling and collection of feature information of a
base-box of reduction unit were put forward, as an example.
Meanwhile, the chain of data and information ought to be provided for virtual manufacturing and NC machining, so as to reach the goal of guaranteeing the quality, being high productivity, and low cost, for the mechanical products.
Datums may be divided into two kinds, the relative datum and the absolute datum.
All the datums of FGEs form the datum set of the component: D={D1,D2,D3,… D18}
Example of CSG Modeling and Feature Information Collection for the Box-lik Component An example of the box base of a reduction unit is presented for explanation of employing CSG tree, datum system of FGEs, the topological relationship tree, the FGE set in rapid CSG modeling, meanwhile collecting initial data for CAPP and CN coding.
Meanwhile, the chain of data and information ought to be provided for virtual manufacturing and NC machining, so as to reach the goal of guaranteeing the quality, being high productivity, and low cost, for the mechanical products.
Datums may be divided into two kinds, the relative datum and the absolute datum.
All the datums of FGEs form the datum set of the component: D={D1,D2,D3,… D18}
Example of CSG Modeling and Feature Information Collection for the Box-lik Component An example of the box base of a reduction unit is presented for explanation of employing CSG tree, datum system of FGEs, the topological relationship tree, the FGE set in rapid CSG modeling, meanwhile collecting initial data for CAPP and CN coding.
Online since: June 2017
Authors: Bo Yang Liu, Bin Bin Liu, Feng Ye
The in-situ electrical resistance data recorded in the isothermal annealing process show the same relaxation behavior with fitting parameters 0.0362, 2033 s, and 0.74, respectively.
The fitting parameters of the experiment data with Eq.1 are 0.0384, 2390 s and 0.66, respectively (as shown in Fig.4).
Compared with the discrete electrical resistance relaxation experiment above, the in-situ electrical resistance relaxation data show almost the same tendency and values.
The solid line denotes the in-situ electrical resistance data, the dash line denotes the KWW fitting curve, the solid squares (■) denote the data from the discrete electrical resistance relaxation experiment, and the open circles (o) denote the recovery enthalpy in DSC scans [7].
Fig. 6 Relaxation time constant versus annealing temperature plot of La55Al25Ni10Cu10 bulk metallic glass, the relaxation time is obtained from the KWW fitting of the electrical resistance relaxation experiment (■) and DSC data from reference (o) [7].
The fitting parameters of the experiment data with Eq.1 are 0.0384, 2390 s and 0.66, respectively (as shown in Fig.4).
Compared with the discrete electrical resistance relaxation experiment above, the in-situ electrical resistance relaxation data show almost the same tendency and values.
The solid line denotes the in-situ electrical resistance data, the dash line denotes the KWW fitting curve, the solid squares (■) denote the data from the discrete electrical resistance relaxation experiment, and the open circles (o) denote the recovery enthalpy in DSC scans [7].
Fig. 6 Relaxation time constant versus annealing temperature plot of La55Al25Ni10Cu10 bulk metallic glass, the relaxation time is obtained from the KWW fitting of the electrical resistance relaxation experiment (■) and DSC data from reference (o) [7].
Online since: April 2011
Authors: Duan Zhou, Jian Xian Zhang, Jia Jia
PEs are employed to realize data transmission, reception and manipulation.
Each flit has 2 flag bits and 8 data bits.
The head flit contains routing information, data flit data information, and tail flit end-of-packet information.
In TRANS traffic, IAR algorithm has achieved a reduction in average latency by 45.7% and 16.3%, an improvement in throughput by 44.4% and 18.2% over DR algorithm and SAR algorithm respectively.
In COMP traffic, IAR algorithm has achieved a reduction in average latency by 12.3% and 5.3%, an improvement in throughput by 9.7% and 5.2% over DR algorithm and SAR algorithm respectively.
Each flit has 2 flag bits and 8 data bits.
The head flit contains routing information, data flit data information, and tail flit end-of-packet information.
In TRANS traffic, IAR algorithm has achieved a reduction in average latency by 45.7% and 16.3%, an improvement in throughput by 44.4% and 18.2% over DR algorithm and SAR algorithm respectively.
In COMP traffic, IAR algorithm has achieved a reduction in average latency by 12.3% and 5.3%, an improvement in throughput by 9.7% and 5.2% over DR algorithm and SAR algorithm respectively.
Online since: February 2015
Authors: Xiao Ling Gao, Zhao Jun Ren
Thus a study using more recent data to analyze the energy consumption and major environmental emissions in urban passenger transport is crucial.
Methodology and Data The LEAP model.
However, the increase speed of total energy consumption have different degrees of reduction in the case of adopting different energy saving and emission reduction measures.
For nitrogen oxide emissions, the emission reduction effect of scenario 2 and 3 are almost the same.
Meanwhile the reduction effect of SO2 emission under scenario 3 is better than that under scenario 2.
Methodology and Data The LEAP model.
However, the increase speed of total energy consumption have different degrees of reduction in the case of adopting different energy saving and emission reduction measures.
For nitrogen oxide emissions, the emission reduction effect of scenario 2 and 3 are almost the same.
Meanwhile the reduction effect of SO2 emission under scenario 3 is better than that under scenario 2.
Online since: February 2008
Authors: A. Kiet Tieu, Dong Bin Wei, Zheng Yi Jiang, Cheng Lu, Ying De Tang
The samples were compressed in reduction
from 0.1 to 1.2mm each pass.
The compression tests were completed in 10 passes and the total reduction was 5.4 mm.
The reduction in each pass is shown in Table 1.
However, the data of force and displacement for all samples at the third pass on Instron 8083 were not obtained due to the malfunction of data collection system, which results in the discontinuous curves.
However, it tends to be stable when the total reduction increases.
The compression tests were completed in 10 passes and the total reduction was 5.4 mm.
The reduction in each pass is shown in Table 1.
However, the data of force and displacement for all samples at the third pass on Instron 8083 were not obtained due to the malfunction of data collection system, which results in the discontinuous curves.
However, it tends to be stable when the total reduction increases.