Institution
Xuzhou Institute of Technology
Education•Xuzhou, China•
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.
Papers published on a yearly basis
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TL;DR: Surface configuration played the main role on these variables of contact displacement, contact load and coefficient of friction due to the direction and magnitude of the surface displacement while applied load and sliding velocity had a secondary role.
Abstract: Natural cartilage surfaces were macroscopically curved with multi-porous viscoelastic biologic materials with extremely high water, but whether curved surface configuration could play an important role on the contact and frictional properties of natural cartilages fails to be completely understood up to now. In this current study, cartilage samples came from the 18–24 month-old bovine femora. Contact characteristic and frictional properties at two cartilage configurations were investigated using the UMT-2 testing rig and the five-point sliding average method would be adopted to analyze these tested data. These results indicated the surface displacement was extremely associated with the plate cartilage surface and seemed to be a representative of cartilage surface configuration. The summit of the surface load lagged behind that of the surface displacement at the same condition. Coefficient of friction showed obviously different variation with time at two cartilage surface configurations due to the fact that these two surface displacements had different amplitudes and opposite directions as a function of the sliding length. Therefore, surface configuration played the main role on these variables of contact displacement, contact load and coefficient of friction due to the direction and magnitude of the surface displacement while applied load and sliding velocity had a secondary role. Natural cartilage surfaces were macroscopically curved with multi-porous viscoelastic biologic materials with extremely high water, but whether curved surface configuration could play an important role on the contact and frictional properties of natural cartilages fails to be completely understood up to now. In this study, two different cartilage configurations were adopted to investigate natural cartilage properties, and the five-point sliding average method would be used to analyze these tested data. These results indicated the contact displacement was consisted of cartilage deformation and surface displacement while contact load was composed of steady load and surface load (as shown in the figure, panels (a) and (b)). Surface displacement was greatly associated with the plate cartilage surface and seemed to be a representative of cartilage surface configuration. These two surface displacements had different amplitudes and opposite directions as a function of the sliding length (as shown in panel (c)). The summit of the surface load lagged behind that of the surface displacement at the same condition (as shown in panel (d)). Surface displacement and surface load in the contact characteristic of natural cartilages were extremely related with the cartilage configurations. and their correlation coefficients varied periodically with the moving time (as shown in panel (e)). Coefficient of friction showed obviously different variation with time (as shown in panel (f)). Therefore, surface configuration played the main role on these variables of contact displacement, contact load and coefficient of friction due to the direction and magnitude of the surface displacement while applied load and sliding velocity had a secondary role. Variation in contact and frictional properties of natural cartilage at two different surface configurations (a) Contact displacement and its parts varied with time; (b) Contact load and its parts varied with time; (c) Surface displacement varied with the sliding length at two CPSTs; (d) Surface load and surface displacement varied with time; (e) Variation in the relation coefficient with the moving time; (f) Coefficient of friction varied with time at two CPSTs.
6 citations
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24 Sep 2011TL;DR: A new ontology is built that provides a simple schema that can be used to present a clear overview of network and the relation between sensing elements, which has been shown to be useful for describing heterogeneous networked sensing substrate and be feasible for allocating resources across various test beds.
Abstract: The practical usage of ontology for resource specification is for effective resource control in wireless sensor networks. In order to support geographically and logically distinct resources to be co-scheduled and co-allocated when test beds are federated, we build a new ontology. It provides a simple schema that can be used to present a clear overview of network and the relation between sensing elements. Our ontology has been actively integrated with the common-used control framework. The ontology also provides service abstraction between service providers and users, which defines generalized resource request for users to describe the desired resources on different test beds. It has been shown to be useful for describing heterogeneous networked sensing substrate and be feasible for allocating resources across various test beds.
6 citations
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TL;DR: In this paper, the authors performed dynamic Brazilian disc tests to study the mechanical behavior of sandstones and found that water saturation significantly weakens the dynamic tensile strength of sandstone and increases the specimen strain at which the specimen fails.
Abstract: Understanding the effect of water saturation on dynamic failure of rocks is of great importance to tunnel excavation at water-rich coal mines and prevention of rock bursts by water injection. Dynamic Brazilian disc tests are performed to study mechanical behaviour of sandstones in this paper. The results indicate that water saturation significantly weakens the dynamic tensile strength of sandstones and increases the specimen strain at which the specimen fails. The damage degree of sandstones reduces gradually with increasing water contents. Failure of the sandstone specimen includes the crack initiation at the center of the specimen, macroscopic crack propagation, and stretch of the macroscopic crack through the specimen. In addition, parallel macroscopic crack propagation is found in the specimen with a low water content. From the observation of fracture sections, microstructures are compact in the specimen with high water contents. This is due to the swell of the kaolinite in the specimen after water saturation. The failure mechanism of microstructures is typical brittle failure in the specimen with a high water content, whereas ductile fracture is found in the specimen with a low water content. Different failure processes of microstructures lead to the differences between mechanical properties and macroscopic failure characteristics of the specimens with various water contents.
6 citations
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TL;DR: The data suggested that PCB 156 could promote NAFLD development by altering the expression of genes related to lipid metabolism and inducing oxidative stress.
6 citations
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TL;DR: The results show that the state-of-charge estimation based on back-propagation neural network can achieve high accuracy in estimating state of charge of uninterruptible power system and can reduce the error accumulation caused in long-term operation.
Abstract: In this article, a method for estimating the state of charge of lithium battery based on back-propagation neural network is proposed and implemented for uninterruptible power system. First, back-pr...
6 citations
Authors
Showing all 1711 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peng Wang | 108 | 1672 | 54529 |
Qiong Wu | 51 | 316 | 12933 |
Wenping Cao | 34 | 176 | 4093 |
Bin Hu | 30 | 213 | 3121 |
Syed Abdul Rehman Khan | 29 | 131 | 2733 |
Jingui Duan | 29 | 93 | 3807 |
Vivian C.H. Wu | 25 | 105 | 2566 |
Lei Chen | 16 | 99 | 1062 |
Chao Wang | 16 | 74 | 741 |
Wenbin Gong | 16 | 27 | 953 |
Jing Li | 16 | 40 | 1025 |
Chao Liu | 15 | 43 | 737 |
Qinglin Wang | 14 | 72 | 595 |
Yaocheng Zhang | 14 | 54 | 566 |
Chao Wang | 13 | 25 | 774 |