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Online since: June 2011
Authors: Xiao San Ge, Yu Min Zhang
Digital mine is to establish a series of different levels of prototypes, systems, material models, mechanical models, mathematical models, information models and computing models by means of modern spatial analysis, data collection, data mining and knowledge discovery, virtual reality, and visualization and internet, multimedia and computing technology [3].
Its core technologies contain data collection and high-speed transport network technology, distributed spatial database and WebGIS technology and spatial data warehouse and spatial data mining technology, 3D virtual reality technology and dynamic simulation and artificial intelligence technology.
Its key technologies involve computer network technology, large database technology, virtual reality technology, computer graphics technology, multimedia technology, monitoring and data storage technology, data mining technology and spatial information technology, etc.
But digital mine demands a basis and open 3D visual platform to manage spatial data, mining geological data and production data, meanwhile, to integrate production control system and monitoring system, etc. this platform has a unified management and analysis for temporal and spatial data
In fact, “smart mine” includes four elements: mine information sensor used for data acquisition, communication information network, information storage device, information process system.
Its core technologies contain data collection and high-speed transport network technology, distributed spatial database and WebGIS technology and spatial data warehouse and spatial data mining technology, 3D virtual reality technology and dynamic simulation and artificial intelligence technology.
Its key technologies involve computer network technology, large database technology, virtual reality technology, computer graphics technology, multimedia technology, monitoring and data storage technology, data mining technology and spatial information technology, etc.
But digital mine demands a basis and open 3D visual platform to manage spatial data, mining geological data and production data, meanwhile, to integrate production control system and monitoring system, etc. this platform has a unified management and analysis for temporal and spatial data
In fact, “smart mine” includes four elements: mine information sensor used for data acquisition, communication information network, information storage device, information process system.
Online since: October 2013
Authors: Keith Worden, Charles R. Farrar, Ifigeneia Antoniadou, Nikolaos Dervilis, Rob J. Barthorpe, K.M. Farinholt, G. Park, M. Choi, S.G. Taylor
If the neural network learning was successful then ny≈0 for all the training data set.
Then a novelty distance (Euclidean distance [7,10]) was calculated by feeding the network with testing data [10].
The first two principal components that contain the highest data variance are plotted.
PCA projection of training data on RBF network centres of INNER sensor 2.
PCA projection of training data on RBF network centres of OUTER sensor 2.
Then a novelty distance (Euclidean distance [7,10]) was calculated by feeding the network with testing data [10].
The first two principal components that contain the highest data variance are plotted.
PCA projection of training data on RBF network centres of INNER sensor 2.
PCA projection of training data on RBF network centres of OUTER sensor 2.
Online since: August 2011
Authors: Kuan Hui Hu, Shun Bing Zhou, De Xin Tian, Guan Wen Feng
Introduction
Since the 70s of the 20th century,the world auto industry has recognized the urgency to weight reduction and energy saving, the development and application of a new generation of high-strength steel has been valued.Especially the steel with super deep-drawing and high-strength steel become a hot spots of development and researchment [1].
Another data shows that [3], α fiber texture (<110> ∥ RD) of cold-rolled steel sheet will evolve with annealing temperature rising during recrystallizating process, and the γ fiber texture (<111> ∥ ND) pie grain annealed microstructure are formed by rotating crystal grain and crystal boundary migration.
Another data shows that [3], α fiber texture (<110> ∥ RD) of cold-rolled steel sheet will evolve with annealing temperature rising during recrystallizating process, and the γ fiber texture (<111> ∥ ND) pie grain annealed microstructure are formed by rotating crystal grain and crystal boundary migration.
Online since: July 2011
Authors: You Liang Ma, Li Xuan Zheng
The guide lines to evaluating the mechanical properties of the materials include yield strength, tensile strength, elongation rate and reduction of area, and so on.
After analyzing SEM data and EDX images of the test specimen with non-vacuum annealing and vacuum annealing, in figure 2, 3, it shows that the oxygen content of the Ni47Ti44Nb9 has increased due to the non-vacuum annealing, which results in a large number of oxygen-containing in matrix phase.
After analyzing SEM data and EDX images of the test specimen with non-vacuum annealing and vacuum annealing, in figure 2, 3, it shows that the oxygen content of the Ni47Ti44Nb9 has increased due to the non-vacuum annealing, which results in a large number of oxygen-containing in matrix phase.
Online since: July 2011
Authors: Li Jia Chen, Feng Li, Sheng Guo, Xin Che
Even though the superplasticity of the ECAPed magnesium alloys has been well documented, there is very limited data to concern the superplasticity of the AZ91 alloy ECAPed by different routes.
Experimental Procedures The AZ91 alloy was extruded to the rod with a reduction ratio of 17:1, and then cut to pieces with a length of 80 mm and a diameter of 10 mm.
Experimental Procedures The AZ91 alloy was extruded to the rod with a reduction ratio of 17:1, and then cut to pieces with a length of 80 mm and a diameter of 10 mm.
Online since: January 2005
Authors: Charles Martin, J.V. Sasutil, M. Kouhkan, E. Lorea, Rafiq Noorani
Results and Discussion
After measuring the dimensions and testing each of the parts that were created from various
techniques of rapid tooling, the data was placed into tables to be analyzed.
With more testing and time, this will become a new source of conventional tooling due to the reduction of time, cost, and weight.
With more testing and time, this will become a new source of conventional tooling due to the reduction of time, cost, and weight.
Online since: October 2010
Authors: It Meng Low, Zeya Oo, Brian O’Connor
The green sample with dimensions 10×10×60 mm3 was initially pre-sintered in a vacuum furnace at 1400oC for 2h to increase its strength through porosity reduction (~40%) prior to the neutron study.
The neutron diffraction data collection was performed using a medium resolution powder diffractometer (MRPD) located at the Australian Nuclear Science and Technology Organisation (ANSTO) in Lucas Heights, NSW.
The neutron diffraction data collection was performed using a medium resolution powder diffractometer (MRPD) located at the Australian Nuclear Science and Technology Organisation (ANSTO) in Lucas Heights, NSW.
Online since: November 2012
Authors: Ji Feng Zhang, Yong Gang Xie, Zi Zhen Cao
The application of GLARE laminates in A380 has allowed significant weight reduction of 800kg.
This paper focused on the experimental studies of GLARE bolted joint and revealed the influence of geometric parameters, ply orientation and tightening torque on the GLARE bolted joint preliminary, thus providing data support for the design of GLARE joint.
This paper focused on the experimental studies of GLARE bolted joint and revealed the influence of geometric parameters, ply orientation and tightening torque on the GLARE bolted joint preliminary, thus providing data support for the design of GLARE joint.