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Online since: May 2020
Authors: Cheng Xian Yin, Jing Niu, Cheng Zheng Li, Xiu Qing Xu, Hang Juan Huang
Hydrogen significantly decreased the plastic deformation capability of HAZ and the reduction of area after the fracture decreased by 58%, 41%, and 45% at 1300 °C, 1100 °C, and 850 °C, respectively.
To guarantee the reliability of test data, three parallel specimens were measured in each group in the slow strain tensile tests.
The percentage reduction of area of all the regions of HAZ in 321 stainless steel after EHC is higher than that of base material.
Compared with the situation without EHC, the percentage reduction of area of welding HAZ and base material both significantly decreased under the condition of dynamic EHC.
The fracture mode on the specimen surface and near the specimen surface was intergranular plus transgranular cracking, and that in the center was a dimple fracture. 2) Embrittlement due to the increase of temperature can be seen by reduction of total elongation and also the reduction of area. 3) The existence of δ ferrite is the main reason for the decrease in hydrogen-induced plasticity index.
To guarantee the reliability of test data, three parallel specimens were measured in each group in the slow strain tensile tests.
The percentage reduction of area of all the regions of HAZ in 321 stainless steel after EHC is higher than that of base material.
Compared with the situation without EHC, the percentage reduction of area of welding HAZ and base material both significantly decreased under the condition of dynamic EHC.
The fracture mode on the specimen surface and near the specimen surface was intergranular plus transgranular cracking, and that in the center was a dimple fracture. 2) Embrittlement due to the increase of temperature can be seen by reduction of total elongation and also the reduction of area. 3) The existence of δ ferrite is the main reason for the decrease in hydrogen-induced plasticity index.
Online since: June 2012
Authors: Peng Ying Yang, Yu Xia Sun
After getting the header’s length, the address of the pointer to the data parts of the IP packet can be easily acquired through data pointer to IP packet and the length of the header.
Y N Start Figure 2: Procedures of testing Y Y N N Y Y Include http protocol data?
Record value of head field Restore data · The address of the pointer to the data parts of the IP packets got in step 1 is actually the head pointer address of TCP packet ,likewise, fill this address to struct tcphdr.
After that, the data address of TCP packet, which is also the data address of HTTP packet, can be obtained through the data pointer of TCP packet and the length of the TCP packet header.
Reconstruction over Figure 3: Procedures of file reconstruction N Y The reduction of response data In the system, to data in gzip compression format, open source project zlib and gzip (which is available at http://www.zlib.net) are adopted to decompress them into the memory .Thus the initiated parameter should be set correctly.
Y N Start Figure 2: Procedures of testing Y Y N N Y Y Include http protocol data?
Record value of head field Restore data · The address of the pointer to the data parts of the IP packets got in step 1 is actually the head pointer address of TCP packet ,likewise, fill this address to struct tcphdr.
After that, the data address of TCP packet, which is also the data address of HTTP packet, can be obtained through the data pointer of TCP packet and the length of the TCP packet header.
Reconstruction over Figure 3: Procedures of file reconstruction N Y The reduction of response data In the system, to data in gzip compression format, open source project zlib and gzip (which is available at http://www.zlib.net) are adopted to decompress them into the memory .Thus the initiated parameter should be set correctly.
Online since: January 2012
Authors: Elena Khlusova, Alexander A. Vasilyev, Yuri F. Titovets, Nikolay Y. Zolotorevsky
In order to determine these parameters, the data presented in Ref. [12-14] were used (Table 2).
First, the calibration parameters, including the coefficient qMn in Eq. 2, were determined on the base of the data for steels A36 and DQSK.
Secondly, the coefficient qMo was determined on the base of the data for DP steel (Fig. 3).
Effect of austenite deformation An analysis of experimental data shows that austenite deformation leads to a significant reduction of the energy barrier for the ferrite nucleation at grain boundaries [17,18].
A comparison of the modeling results with experimental data for the X80 steel is presented in Fig. 5.
First, the calibration parameters, including the coefficient qMn in Eq. 2, were determined on the base of the data for steels A36 and DQSK.
Secondly, the coefficient qMo was determined on the base of the data for DP steel (Fig. 3).
Effect of austenite deformation An analysis of experimental data shows that austenite deformation leads to a significant reduction of the energy barrier for the ferrite nucleation at grain boundaries [17,18].
A comparison of the modeling results with experimental data for the X80 steel is presented in Fig. 5.
Online since: May 2007
Authors: Jennifer Jackman, Nai Yi Li, Joseph A. Carpenter, Philip S. Sklad, Richard J. Osborne, Bob R. Powell
The objective of the ALM/USAMP Ultra-Large Casting (ULC) project is to assess the
manufacturing feasibility, economics and mass reduction potential of large, thin-wall structural
castings of aluminum and magnesium as applied to automotive weight reduction.
These detailed data will serve as input to predictive models that will link the as-cast structure to the mechanical response of the material.
In addition, in-field data is being collected from casting suppliers on die pin wear and degradation.
Pelton and colleagues are working on the calculation of phase equilibria and alloy phase diagrams using a Mg thermodynamic data base (FACTSage).
Data were obtained from the literature and directly from organizations around the world involved in each of the processes.
These detailed data will serve as input to predictive models that will link the as-cast structure to the mechanical response of the material.
In addition, in-field data is being collected from casting suppliers on die pin wear and degradation.
Pelton and colleagues are working on the calculation of phase equilibria and alloy phase diagrams using a Mg thermodynamic data base (FACTSage).
Data were obtained from the literature and directly from organizations around the world involved in each of the processes.
Online since: December 2012
Authors: Guo Qiang Han, Guang Zhi Dai, Wei Yi Lin
The finite rate of innovation (FRI) is adopted in our work, as it has been recently shown that a much more significant sample-rate reduction may be obtained by treating ultrasonic signals with the Finite Rate of Innovation framework.
In this work,we propose a novel IUICS approach which leads to reduction of sample data and sample-rate.We introduce the whole process of industrial ultrasonic imaging in this approach and then give the physical realization of it.Finally,we demonstrate that the measurement matrix in this approach obeys the RIP with large probability.
Ultrasonic Phased Array Imaging Model The PA probe consists of many small ultrasonic elements,each of which can be pulsed individually.By varying the timing,for instance by pulsing the elements one by one in sequence along a row,a pattern of constructive interference is set up that results in a beam at a set angle,as depicted in Fig.2.In other words ,the beam can be steered electronically.The beam is swept like a search-light through the object being examined,and the data from multiple beams are put together to make a visual image showing a slice through the object,the process known as scanline.
Summary In our work, we propose a novel IUICS approach which leads to reduction of sample data and sample-rate.We introduce the whole process of industrial ultrasonic imaging in this approach and then give the physical realization of it.Finally,we demonstrate that the measurement matrix in this approach obeys the RIP with large probability.
In this work,we propose a novel IUICS approach which leads to reduction of sample data and sample-rate.We introduce the whole process of industrial ultrasonic imaging in this approach and then give the physical realization of it.Finally,we demonstrate that the measurement matrix in this approach obeys the RIP with large probability.
Ultrasonic Phased Array Imaging Model The PA probe consists of many small ultrasonic elements,each of which can be pulsed individually.By varying the timing,for instance by pulsing the elements one by one in sequence along a row,a pattern of constructive interference is set up that results in a beam at a set angle,as depicted in Fig.2.In other words ,the beam can be steered electronically.The beam is swept like a search-light through the object being examined,and the data from multiple beams are put together to make a visual image showing a slice through the object,the process known as scanline.
Summary In our work, we propose a novel IUICS approach which leads to reduction of sample data and sample-rate.We introduce the whole process of industrial ultrasonic imaging in this approach and then give the physical realization of it.Finally,we demonstrate that the measurement matrix in this approach obeys the RIP with large probability.
Online since: July 2013
Authors: Yu Min Su, Hai Long Shen, Wei Lu
For a long time, hydrodynamic performance prediction of catamaran planning vessel is mainly carried out by means of model tank test and the empirical formula which is summarized from model tank tests data.
The Savitsky formula [4] is based on extensive experimental data and gives the solution to each value in the running attitude by calculating a series of equations, so as to determine the sailing hull posture.
However, when , the channel top is out of the water completely and in a fully aeration status, which forms a special planing surface that have the function of gas drag reduction , vibration reduction.
Because of the buffer and vibration reduction, it is better to take a bigger channel top deadrise angle.
Fig. 7 Resistance curves of different Fig. 11 Resistance curves of different channel relative widths channel relative heights Fig. 15 Resistance curves of different channel top deadrise angles Summary Restrictions in simulation and data probing,expenses and scale effects of experimental analysis are good reasons to employ a numerical tool as a part of ship design procedure.In this paper, the single degree of freedom movement method based on the dynamic grid technology is adopted to analyze the influence of channel parameters on the catamaran planing vessel hydrodynamic performance, which includes the channel relative width /B, the channel relative height and the channel top deadrise angle.
The Savitsky formula [4] is based on extensive experimental data and gives the solution to each value in the running attitude by calculating a series of equations, so as to determine the sailing hull posture.
However, when , the channel top is out of the water completely and in a fully aeration status, which forms a special planing surface that have the function of gas drag reduction , vibration reduction.
Because of the buffer and vibration reduction, it is better to take a bigger channel top deadrise angle.
Fig. 7 Resistance curves of different Fig. 11 Resistance curves of different channel relative widths channel relative heights Fig. 15 Resistance curves of different channel top deadrise angles Summary Restrictions in simulation and data probing,expenses and scale effects of experimental analysis are good reasons to employ a numerical tool as a part of ship design procedure.In this paper, the single degree of freedom movement method based on the dynamic grid technology is adopted to analyze the influence of channel parameters on the catamaran planing vessel hydrodynamic performance, which includes the channel relative width /B, the channel relative height and the channel top deadrise angle.
Online since: July 2013
Authors: Xin Qun Zhu, Ranjith Liyanapathirana, Upul Gunawardana, Madhuka Jayawardhana
Each sensor generates extremely large amounts of data, often arousing the issue of the cost associated with data transfer and storage.
This is a large reduction of the collected data amount resulting in reduced energy consumption [10].
The attempt is to preserve the energy and storage associated with SHM systems through data reduction without losing the confidence of accurate decision-making.
The CS requirements, data pre-processing, data compression with CS and the reconstruction are discussed subsequently.
The under-sampled data in question is the compressive sensed data discussed in the previous section.
This is a large reduction of the collected data amount resulting in reduced energy consumption [10].
The attempt is to preserve the energy and storage associated with SHM systems through data reduction without losing the confidence of accurate decision-making.
The CS requirements, data pre-processing, data compression with CS and the reconstruction are discussed subsequently.
The under-sampled data in question is the compressive sensed data discussed in the previous section.
Online since: August 2013
Authors: Benyamin Kusumoputro, Afrias Sarotama
These input-output sample flight data are grouped into two flight data sets.
Two sets of data flights were derived from 36250 sample flight test data.
We shall refer to the second data set as the test data.
Two sets of data were formed from 36250 sampling data.
A set of 3979 samples data, taken from a circular form trajectory is assigned as the test data and the remaining samples data is set as as the training data set.
Two sets of data flights were derived from 36250 sample flight test data.
We shall refer to the second data set as the test data.
Two sets of data were formed from 36250 sampling data.
A set of 3979 samples data, taken from a circular form trajectory is assigned as the test data and the remaining samples data is set as as the training data set.
Online since: September 2005
Authors: Heather M. Volz, J.A. Roberts, L.L. Daemen, D.J. Williams, Sven C. Vogel, A.C. Lawson
192
Effect of Strong Neutron Absorption on Texture
and Diffraction Data Analysis
H.M.
The impact of strong neutron absorption on data analysis and the comparison of two different absorption corrections for neutron diffraction data implemented in the GSAS Rietveld code are the foci of this work.
Again, all rolling directions of the foils were held coincident during the data collection.
Therefore, it is logical that the linear model would be more appropriate for fitting these data from foils.
Rows represent data from the same sample with thickness shown at left.
The impact of strong neutron absorption on data analysis and the comparison of two different absorption corrections for neutron diffraction data implemented in the GSAS Rietveld code are the foci of this work.
Again, all rolling directions of the foils were held coincident during the data collection.
Therefore, it is logical that the linear model would be more appropriate for fitting these data from foils.
Rows represent data from the same sample with thickness shown at left.
Online since: December 2007
Authors: Ying Xue Yao, L. Zhou, H.B. Zhang
Mass reduction
After figured out the amplitude and phase of unbalanced couple, mass reduction process will be
applied to the rotor.
The location of mass reduction should be symmetric about the rotor's center, and the mass and location can be calculated by experimental data.
The mass reduction methods including drill, grinding, chemical etch, laser irradiation and so on.
Precision Analysis of Dynamic Balance This accuracy of the dynamic balance method is depend on static balance precision before, the resolution of displacement sensors, flatness and surface roughness of testing plane, and also the precision of mass reduction.
The location of mass reduction should be symmetric about the rotor's center, and the mass and location can be calculated by experimental data.
The mass reduction methods including drill, grinding, chemical etch, laser irradiation and so on.
Precision Analysis of Dynamic Balance This accuracy of the dynamic balance method is depend on static balance precision before, the resolution of displacement sensors, flatness and surface roughness of testing plane, and also the precision of mass reduction.