Because of an unfortunate mistake during the production of this article,the Acknowledgements have been omitted.The Acknowledgements are added as follows:Sasan YAZDANI would like to thank the Scientific and Technologic...Because of an unfortunate mistake during the production of this article,the Acknowledgements have been omitted.The Acknowledgements are added as follows:Sasan YAZDANI would like to thank the Scientific and Technological Research Council of Turkey(TÜB˙ITAK)for receiving financial support for this work through the 2221 Fellowship Program for Visiting Scientists and Scientists on Sabbatical Leave(Grant ID:E 21514107-115.02-228864).Sasan YAZDANI also expresses his gratitude to Sahand University of Technology for granting him sabbatical leave to facilitate the completion of this research.展开更多
Multi-layer riveted structures are widely applied to aircraft.During the service,cracks may appear within these structures due to stress concentration of the riveted holes.The guided wave monitoring has been proved to...Multi-layer riveted structures are widely applied to aircraft.During the service,cracks may appear within these structures due to stress concentration of the riveted holes.The guided wave monitoring has been proved to be an effective tool to deal with this problem.However,there is a lack of understanding of the wave propagation process across such kinds of structures.This study proposes a piezoelectric guided wave simulation method to reveal the propagation of guided waves in multi-layer riveted structures.Effects of pretension force,friction coefficient,and cracks that might influence wave characteristics are studied.The guided wave simulation data is compared with the experimental results and the results verify the simulation model.Then the guided wave propagation in a more complex long-beam butt joint structure is further simulated.展开更多
The Multi layer coating of Ni60 alloy was got by multi layer laser cladding. The height of the coating was about 12mm and the wall of the coating was perpendicular to the base. The microstructure of the coating was ...The Multi layer coating of Ni60 alloy was got by multi layer laser cladding. The height of the coating was about 12mm and the wall of the coating was perpendicular to the base. The microstructure of the coating was made up of fine dendrite. The conjunction between layers was good.展开更多
Luquire et al. ' s impedance change model of a rectangular cross section probe coil above a structure with an arbitrary number of parallel layers was used to study the principle of measuring thicknesses of multi-l...Luquire et al. ' s impedance change model of a rectangular cross section probe coil above a structure with an arbitrary number of parallel layers was used to study the principle of measuring thicknesses of multi-layered structures in terms of eddy current testing voltage measurements. An experimental system for multi-layered thickness measurement was developed and several fitting models to formulate the relationships between detected impedance/voltage measurements and thickness are put forward using least square method. The determination of multi-layered thicknesses was investigated after inversing the voltage outputs of the detecting system. The best fitting and inversion models are presented.展开更多
In this paper, the cross sectional microstructure and crystal structure of ion plated multi layer films of stainless steel (1Cr18Ni9Ti ) were studied by cross sectional transmission electron microscopy (XTEM). The re...In this paper, the cross sectional microstructure and crystal structure of ion plated multi layer films of stainless steel (1Cr18Ni9Ti ) were studied by cross sectional transmission electron microscopy (XTEM). The results show that ion plated stainless steel multi layer films are fine grained double phase steel films of austenites and ferrites.Cross section film growing microstructures can be divided into three zones: fine equiaxed crystals, fine columnar crystals and coarse columnar crystals. Interfaces in multi layer films can promote fine grained growing and interrupt columnar grained growing,and improve properties of film materials.展开更多
A kind of second order algorithm--recursive approximate Newton algorithm was given by Karayiannis. The algorithm was simplified when it was formulated. Especially, the simplification to matrix Hessian was very reluct...A kind of second order algorithm--recursive approximate Newton algorithm was given by Karayiannis. The algorithm was simplified when it was formulated. Especially, the simplification to matrix Hessian was very reluctant, which led to the loss of valuable information and affected performance of the algorithm to certain extent. For multi layer feed forward neural networks, the second order back propagation recursive algorithm based generalized cost criteria was proposed. It is proved that it is equivalent to Newton recursive algorithm and has a second order convergent rate. The performance and application prospect are analyzed. Lots of simulation experiments indicate that the calculation of the new algorithm is almost equivalent to the recursive least square multiple algorithm. The algorithm and selection of networks parameters are significant and the performance is more excellent than BP algorithm and the second order learning algorithm that was given by Karayiannis.展开更多
Presents a novel approach of multi layer sensing for perception of high level environmental information related to many conventional physical quantities, such as temperature, humidity and brightness, which focuses on ...Presents a novel approach of multi layer sensing for perception of high level environmental information related to many conventional physical quantities, such as temperature, humidity and brightness, which focuses on the processing of multi functional variables in a multi layer framework, and consists of multi functional sensing and multi layer fusion. Concerning the first aspect, a CdS and Fe 3O 4 materials based multi function sensor has been developed to measure the three quantities, and provides a possible solution to the sensor multi functional measurement equations, especially when the sensor processes more than three quantities, and proposes ways to evaluate the concerned environment as degree of comfort, Quantity Creditability Tactics (QCT) of multi layer data fusion.展开更多
SiC particulate reinforced 6066 aluminium alloy metal matrix composites (MMCs) were prepared by multi layer spray forming. The preparation technology and process parameters were discussed. It is shown that SiC particu...SiC particulate reinforced 6066 aluminium alloy metal matrix composites (MMCs) were prepared by multi layer spray forming. The preparation technology and process parameters were discussed. It is shown that SiC particulate can be continuously and evenly fed and co deposited in the spray forming process. The reciprocally scanning movement of spraying system can make the SiC particulates distribute homogeneously in the composite. The ratio of SiC particulates captured by the metal matrix is influenced by process parameters, especially the metal flow rate. 6066/SiC p composite preforms of d 300 mm×540 mm and tubes with a size of up to d 650/ d 300 mm×1 000 mm were made by the same process. After extrusion and T6 heat treatment, the multi layer spray deposited 6066/SiC p composites can achieve improved properties. [展开更多
Metal carbides are an emerging class of electrode materials for various electrochemical applications.Herein,we have synthesized the molybdenum carbide(Mo_(2)C)hexagons via a template assisted method.Subsequently,the M...Metal carbides are an emerging class of electrode materials for various electrochemical applications.Herein,we have synthesized the molybdenum carbide(Mo_(2)C)hexagons via a template assisted method.Subsequently,the Mo_(2)C hexagons were integrated with functionalized carbon nanofiber(f-CNF)via the ultra-sonication method.The prepared Mo_(2)C and Mo_(2)C/f-CNF composites were analyzed using different techniques such as XRD,RAMAN,HR-TEM,and ESCA.展开更多
This paper establishes two artificial neural network models by using a multi layer perceptron algorithm and radial based function algorithm in order to predict the plasma density in a plasma system. In this model, the...This paper establishes two artificial neural network models by using a multi layer perceptron algorithm and radial based function algorithm in order to predict the plasma density in a plasma system. In this model, the input layer is composed of five neurons： the radial position, the axial position, the gas pressure, the microwave power and the magnet coil current. The output layer is the target output neuron： the plasma density. The accuracy of prediction is tested with the experimental data obtained by the Langmuir probe. The effectiveness of two artificial neural network models are demonstrated, the results show good agreements with corresponding experimental data. The ability of the artificial neural network model to predict the plasma density accurately in an electron cyclotron resonance-plasma enhanced chemical vapour deposition system can be concluded, and the radial based function is more suitable than the multi layer perceptron in this work.展开更多
The application is a control movement of two hydraulic cylinder for a synchronize movement. The main purpose of this paper is to show a short programming code in LabVIEW to control the movement of two cylinders with a...The application is a control movement of two hydraulic cylinder for a synchronize movement. The main purpose of this paper is to show a short programming code in LabVIEW to control the movement of two cylinders with an automatic control program using only analog inputs from the sensor of pressure and linear displacement sensor and the digital output from the hydraulic valves. This is designed for one of the test of this synthetic rubber spring testing machine.展开更多
We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum,where image formation occurs in one direction,while in the opposite direction,it is blocked.T...We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum,where image formation occurs in one direction,while in the opposite direction,it is blocked.This approach is enabled by deep learning-driven diffractive optical design with wafer-scale nano-fabrication using high-purity fused silica to ensure optical transparency and thermal stability.Our design achieves unidirectional imaging across three visible wavelengths(covering red,green,and blue parts of the spectrum),and we experimentally validated this broadband unidirectional imager by creating high-fidelity images in the forward direction and generating weak,distorted output patterns in the backward direction,in alignment with our numerical simulations.This work demonstrates wafer-scale production of diffractive optical processors,featuring 16 levels of nanoscale phase features distributed across two axially aligned diffractive layers for visible unidirectional imaging.This approach facilitates mass-scale production of~0.5 billion nanoscale phase features per wafer,supporting high-throughput manufacturing of hundreds to thousands of multi-layer diffractive processors suitable for large apertures and parallel processing of multiple tasks.Beyond broadband unidirectional imaging in the visible spectrum,this study establishes a pathway for artificial-intelligence-enabled diffractive optics with versatile applications,signaling a new era in optical device functionality with industrial-level,massively scalable fabrication.展开更多
African swine fever virus(ASFV)is a large,double-stranded DNA virus classified within the family Asfarviridae,a clinically notable outlier in Baltimore Group I.The virus harbors a linear double-stranded DNA genome of ...African swine fever virus(ASFV)is a large,double-stranded DNA virus classified within the family Asfarviridae,a clinically notable outlier in Baltimore Group I.The virus harbors a linear double-stranded DNA genome of 170–194 kb,encoding over 150 open reading frames(ORFs),and features a highly complex multi-layered architecture,wreaking havoc on global swine populations and having caused massive culling and eco nomic losses across Asia,Europe,and Africa(Costard et al.,2009;Penrith et al.,2013).展开更多
In this paper, the influence of surface roughness on flow structure was numerically studied. An adaptive numerical method, the fast vortex method was employed. A mathematical roughness, which comes from the no slip c...In this paper, the influence of surface roughness on flow structure was numerically studied. An adaptive numerical method, the fast vortex method was employed. A mathematical roughness, which comes from the no slip condition of vortex method, was introduced. The numerical results indicate that the roughness has appreciable influence on the flow structure. The vortex shedding could be controlled if the forward multi layer boundary condition is exerted.展开更多
文摘Because of an unfortunate mistake during the production of this article,the Acknowledgements have been omitted.The Acknowledgements are added as follows:Sasan YAZDANI would like to thank the Scientific and Technological Research Council of Turkey(TÜB˙ITAK)for receiving financial support for this work through the 2221 Fellowship Program for Visiting Scientists and Scientists on Sabbatical Leave(Grant ID:E 21514107-115.02-228864).Sasan YAZDANI also expresses his gratitude to Sahand University of Technology for granting him sabbatical leave to facilitate the completion of this research.
文摘Multi-layer riveted structures are widely applied to aircraft.During the service,cracks may appear within these structures due to stress concentration of the riveted holes.The guided wave monitoring has been proved to be an effective tool to deal with this problem.However,there is a lack of understanding of the wave propagation process across such kinds of structures.This study proposes a piezoelectric guided wave simulation method to reveal the propagation of guided waves in multi-layer riveted structures.Effects of pretension force,friction coefficient,and cracks that might influence wave characteristics are studied.The guided wave simulation data is compared with the experimental results and the results verify the simulation model.Then the guided wave propagation in a more complex long-beam butt joint structure is further simulated.
文摘The Multi layer coating of Ni60 alloy was got by multi layer laser cladding. The height of the coating was about 12mm and the wall of the coating was perpendicular to the base. The microstructure of the coating was made up of fine dendrite. The conjunction between layers was good.
文摘Luquire et al. ' s impedance change model of a rectangular cross section probe coil above a structure with an arbitrary number of parallel layers was used to study the principle of measuring thicknesses of multi-layered structures in terms of eddy current testing voltage measurements. An experimental system for multi-layered thickness measurement was developed and several fitting models to formulate the relationships between detected impedance/voltage measurements and thickness are put forward using least square method. The determination of multi-layered thicknesses was investigated after inversing the voltage outputs of the detecting system. The best fitting and inversion models are presented.
文摘In this paper, the cross sectional microstructure and crystal structure of ion plated multi layer films of stainless steel (1Cr18Ni9Ti ) were studied by cross sectional transmission electron microscopy (XTEM). The results show that ion plated stainless steel multi layer films are fine grained double phase steel films of austenites and ferrites.Cross section film growing microstructures can be divided into three zones: fine equiaxed crystals, fine columnar crystals and coarse columnar crystals. Interfaces in multi layer films can promote fine grained growing and interrupt columnar grained growing,and improve properties of film materials.
文摘A kind of second order algorithm--recursive approximate Newton algorithm was given by Karayiannis. The algorithm was simplified when it was formulated. Especially, the simplification to matrix Hessian was very reluctant, which led to the loss of valuable information and affected performance of the algorithm to certain extent. For multi layer feed forward neural networks, the second order back propagation recursive algorithm based generalized cost criteria was proposed. It is proved that it is equivalent to Newton recursive algorithm and has a second order convergent rate. The performance and application prospect are analyzed. Lots of simulation experiments indicate that the calculation of the new algorithm is almost equivalent to the recursive least square multiple algorithm. The algorithm and selection of networks parameters are significant and the performance is more excellent than BP algorithm and the second order learning algorithm that was given by Karayiannis.
文摘Presents a novel approach of multi layer sensing for perception of high level environmental information related to many conventional physical quantities, such as temperature, humidity and brightness, which focuses on the processing of multi functional variables in a multi layer framework, and consists of multi functional sensing and multi layer fusion. Concerning the first aspect, a CdS and Fe 3O 4 materials based multi function sensor has been developed to measure the three quantities, and provides a possible solution to the sensor multi functional measurement equations, especially when the sensor processes more than three quantities, and proposes ways to evaluate the concerned environment as degree of comfort, Quantity Creditability Tactics (QCT) of multi layer data fusion.
文摘SiC particulate reinforced 6066 aluminium alloy metal matrix composites (MMCs) were prepared by multi layer spray forming. The preparation technology and process parameters were discussed. It is shown that SiC particulate can be continuously and evenly fed and co deposited in the spray forming process. The reciprocally scanning movement of spraying system can make the SiC particulates distribute homogeneously in the composite. The ratio of SiC particulates captured by the metal matrix is influenced by process parameters, especially the metal flow rate. 6066/SiC p composite preforms of d 300 mm×540 mm and tubes with a size of up to d 650/ d 300 mm×1 000 mm were made by the same process. After extrusion and T6 heat treatment, the multi layer spray deposited 6066/SiC p composites can achieve improved properties. [
文摘Metal carbides are an emerging class of electrode materials for various electrochemical applications.Herein,we have synthesized the molybdenum carbide(Mo_(2)C)hexagons via a template assisted method.Subsequently,the Mo_(2)C hexagons were integrated with functionalized carbon nanofiber(f-CNF)via the ultra-sonication method.The prepared Mo_(2)C and Mo_(2)C/f-CNF composites were analyzed using different techniques such as XRD,RAMAN,HR-TEM,and ESCA.
基金supported by the National Natural Science Foundation of China (Grant No. 60375012)
文摘This paper establishes two artificial neural network models by using a multi layer perceptron algorithm and radial based function algorithm in order to predict the plasma density in a plasma system. In this model, the input layer is composed of five neurons： the radial position, the axial position, the gas pressure, the microwave power and the magnet coil current. The output layer is the target output neuron： the plasma density. The accuracy of prediction is tested with the experimental data obtained by the Langmuir probe. The effectiveness of two artificial neural network models are demonstrated, the results show good agreements with corresponding experimental data. The ability of the artificial neural network model to predict the plasma density accurately in an electron cyclotron resonance-plasma enhanced chemical vapour deposition system can be concluded, and the radial based function is more suitable than the multi layer perceptron in this work.
文摘The application is a control movement of two hydraulic cylinder for a synchronize movement. The main purpose of this paper is to show a short programming code in LabVIEW to control the movement of two cylinders with an automatic control program using only analog inputs from the sensor of pressure and linear displacement sensor and the digital output from the hydraulic valves. This is designed for one of the test of this synthetic rubber spring testing machine.
基金Ozcan Lab at UCLA acknowledges the U.S.Department of Energy(DOE),Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under award no.DE-SC0023088.
文摘We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum,where image formation occurs in one direction,while in the opposite direction,it is blocked.This approach is enabled by deep learning-driven diffractive optical design with wafer-scale nano-fabrication using high-purity fused silica to ensure optical transparency and thermal stability.Our design achieves unidirectional imaging across three visible wavelengths(covering red,green,and blue parts of the spectrum),and we experimentally validated this broadband unidirectional imager by creating high-fidelity images in the forward direction and generating weak,distorted output patterns in the backward direction,in alignment with our numerical simulations.This work demonstrates wafer-scale production of diffractive optical processors,featuring 16 levels of nanoscale phase features distributed across two axially aligned diffractive layers for visible unidirectional imaging.This approach facilitates mass-scale production of~0.5 billion nanoscale phase features per wafer,supporting high-throughput manufacturing of hundreds to thousands of multi-layer diffractive processors suitable for large apertures and parallel processing of multiple tasks.Beyond broadband unidirectional imaging in the visible spectrum,this study establishes a pathway for artificial-intelligence-enabled diffractive optics with versatile applications,signaling a new era in optical device functionality with industrial-level,massively scalable fabrication.
基金supported by the National Natural Science Foundation of China Youth Science Foundation Project(Grant No.32200138)the Ministry of Science and Technology of China(CPL-1233)+1 种基金L.Z.is supported by Strategic Priority Research Program(XDB1310000)Basic Research Program Based on Major Scientific Infrastructures,CAS-JZHKYPT-2021-05.
文摘African swine fever virus(ASFV)is a large,double-stranded DNA virus classified within the family Asfarviridae,a clinically notable outlier in Baltimore Group I.The virus harbors a linear double-stranded DNA genome of 170–194 kb,encoding over 150 open reading frames(ORFs),and features a highly complex multi-layered architecture,wreaking havoc on global swine populations and having caused massive culling and eco nomic losses across Asia,Europe,and Africa(Costard et al.,2009;Penrith et al.,2013).
文摘In this paper, the influence of surface roughness on flow structure was numerically studied. An adaptive numerical method, the fast vortex method was employed. A mathematical roughness, which comes from the no slip condition of vortex method, was introduced. The numerical results indicate that the roughness has appreciable influence on the flow structure. The vortex shedding could be controlled if the forward multi layer boundary condition is exerted.
