State Key Laboratory of Digital Manufacturing Equipment and Technology

Wuhan, China

State Key Laboratory of Digital Manufacturing Equipment and Technology

Wuhan, China
SEARCH FILTERS
Time filter
Source Type

Zhu Y.,Huazhong University of Science and Technology | Zhu Y.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Li Z.,Huazhong University of Science and Technology | Li Z.,Hubei Key Laboratory of Engineering Structural Analysis and Safety Assessment | And 3 more authors.
International Journal of Plasticity | Year: 2017

Due to trapping of hydrogen atoms to vacancy, vacancy-Hydrogen complex exists dispersively in materials working in hydrogen environment and influences significantly the dislocation mobility, rendering so-called hydrogen embrittlement. The interactions between a moving edge dislocation and vacancy-Hydrogen complexes or clusters in α-Fe are studied carefully in this paper by atomistic modelling. Our results show that vacancy and vacancy cluster are stable and easier to grow due to their lower formation energy and binding energy with the help of trapped H atoms. When approaching a vacancy-H complex, the edge dislocation is first attracted and in most cases pinned by the complex. The pinning strength of a vacancy-H complex or cluster on the edge dislocation increases with the increasing number of hydrogen atoms trapped in vacancy or vacancy cluster. The critical shear stress for an edge dislocation de-pinning from the vacancy-H complex can be described by a de-pinning equilibrium equation. The inherent pinning mechanism mainly originates from the migration of H atoms in vacancy or vacancy cluster when it is cut by the moving edge dislocation. These results will be helpful for further understanding of the hydrogen induced deformation and failure. © 2017 Elsevier Ltd.


Chen Y.,Wuhan University | He F.,Wuhan University | He F.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Wu Y.,Wuhan University | Hou N.,Wuhan University
Pattern Recognition | Year: 2017

The Hausdorff Distance (HD) is a very important similarity measurement in Pattern Recognition, Shape Matching and Artificial Intelligence. Because of its inherent computational complexity, computing the HD using the NAIVEHD (brute force) algorithm is difficult, especially for comparing the similarity between large scale point sets in the time of big data. To overcome this problem, we propose a novel, efficient and general algorithm for computing the exact HD for arbitrary point sets, which takes advantage of the spatial locality of point sets, namely, Local Start Search (LSS). Different from the state-of-the-art algorithm EARLYBREAK in PAMI 2015, our idea comes from the observation and fact that the neighbor points of a break position in the current loop have higher probability to break the next loop than other points. Therefore, in our algorithm, we add a new mechanism to record the current break position as a start position, which is initialized as search center of the next loop. Then, LSS executes the next loop by scanning the neighbor points around the center. In this way, LSS maintains high performance in both overlap and non-overlap situations. Furthermore, the LSS algorithm can process arbitrary data by adopting the Morton Curve to establish the order of scattered point sets, while the EARLYBREAK is mainly applied to regular data which require the same grid size, such as medical images or voxel data. In the non-overlapping situation when comparing pairs of arbitrary point sets, LSS achieves performance as good as EARLYBREAK algorithm. While in the overlapping situation when comparing pairs of arbitrary point sets, LSS is faster than EARLYBREAK by three orders of magnitude. Thus, as a whole, LSS outperforms EARLYBREAK. In addition, LSS compared against the increment hausdorff distance calculation algorithm (INC) and significantly outperforms it by an order of magnitude faster. Experiments demonstrate the efficiency and accuracy of the proposed method. © 2017 Elsevier Ltd


Zhang L.,Zhejiang University of Technology | Wang J.-S.,Zhejiang University of Technology | Tan D.-P.,Zhejiang University of Technology | Tan D.-P.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Yuan Z.-M.,Zhejiang University of Technology
International Journal of Advanced Manufacturing Technology | Year: 2017

To resolve the problems of uniformity and efficiency of soft abrasive flow (SAF) processing for complex titanium alloy surfaces, a gas compensation-based abrasive flow (GCAF) processing method is proposed. By the constrained modules, an enclosed flow passage covering the titanium alloy surface is built up, in which the gas phase is injected to enhance the turbulence intensity of abrasive flow. Taking the constrained flow passage as the objective, a three-phase fluid mechanic model for GCAF is set up based on the realizable k-ε model and the mixture model. The profiles of velocity and dynamical pressure of abrasive flow field in the constrained flow passage are obtained, and the turbulence variation regulars caused by gas compensation are revealed. Numerical results show that the proposed method can strengthen the turbulence intensity of abrasive and improve the distribution uniformity of dynamical pressure. A GCAF processing experimental platform is developed, and the experiments are performed. The results prove that the proposed method can obtain better processing efficiency and uniformity, the average surface roughness is less than Ra 0.3, and the surface topograph of micro-peak and micro-valley can reach less than 50 and 10 μm, respectively. © 2017 Springer-Verlag London


Wen J.,Jiangnan University | Peng L.,Jiangnan University | Peng L.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Nguang S.K.,University of Auckland
Signal Processing | Year: 2014

This work studies the asynchronous H∞ filtering problem for a class of discrete-time switched time-delay systems. The word "asynchronous" means that the switching of the filters has a lag to the switching of system modes due to the network induced random occurrences, which includes both the sensor saturations and the missing measurements. First, new results on the regional stability and l2 gain analysis for the underlying system are given by allowing the Lyapunov-like function (LLF) to increase with a random probability during the unmatched period of the switching mode and the filter. Then, a regional H∞ filter with a modified mode dependent ellipsoid constraint is designed such that the filtering error dynamics is asymptotically stable in the mean square sense with a given disturbance attenuation level. Finally, a numerical example is given to verify the efficiency of the proposed method. © 2013 Elsevier B.V.


Rao Y.-Q.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Rao Y.-Q.,Huazhong University of Science and Technology | Wang M.-C.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Wang M.-C.,Huazhong University of Science and Technology | And 3 more authors.
Computers and Operations Research | Year: 2013

This paper focuses on the scheduling of a single vehicle, which delivers parts from a storage centre to workstations in a mixed-model assembly line. In order to avoid part shortage and to cut down total inventory holding and travelling costs, the destination workstation, the part quantity and the departure time of each delivery have to be specified properly according to predetermined assembly sequences. In this paper, an optimisation model is established for the configuration that only one destination workstation is involved within each delivery. Four specific properties of the problem are deduced, then a backward-backtracking approach and a hybrid GASA (genetic algorithm and simulated annealing) approach are developed based on these properties. Both two approaches are applied to several groups of instances with real-world data, and results show that the GASA approach is efficient even in large instances. Furthermore, the existence of feasible solutions (EOFS) is analysed via instances with different problem settings, which are obtained by an orthodox experimental design (ODE). An analysis of variance (ANOVA) shows that the buffer capacity is the most significant factor influencing the EOFS. Besides this, both the assembly sequence length and distances to workstations also have noticeable impacts. © 2013 Elsevier Ltd.


Yan L.,Huazhong University of Science and Technology | Yan L.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Yang W.,Huazhong University of Science and Technology | Yang W.,State Key Laboratory of Digital Manufacturing Equipment and Technology | And 2 more authors.
International Journal of Advanced Manufacturing Technology | Year: 2012

In the machining of hard machined materials, microstructure changes in the machined surface must be taken into account to improve product performance. Therefore, a large number of experimental and finite element method investigations have been carried out to investigate these microstructure changes. However, until now, only a few studies have reported the analytical modelling of microstructure changes. This paper presents a hardness-based analytical model that accounts for both mechanical and thermal effects in predicting microstructure changes during the machining of 304 stainless steel. The model was also validated for a range of cutting speeds, feed rates, and wear widths. The predicted results are in good agreement with the experimentally measured results. Thus, with the analytical model, an accurate prediction of microstructure changes is achieved, which reduces experimental expense and finite element method computational time. © Springer-Verlag London Limited 2011.


Liu F.-M.,Hunan University of Science and Technology | Zhu H.-P.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Liu B.-X.,State Key Laboratory of Digital Manufacturing Equipment and Technology
Journal of Central South University | Year: 2013

A cost-based selective maintenance decision-making method was presented. The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems. The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance, minimal repair and overhaul). In the meantime, a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided. Finally, a case study of the maintenance decision-making problem of automobile workshop was given. Furthermore, the case study demonstrates the practicability of this method. © 2013 Central South University Press and Springer-Verlag Berlin Heidelberg.


Zhong F.,State Key Laboratory of Digital Manufacturing Equipment and Technology | He S.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Li B.,State Key Laboratory of Digital Manufacturing Equipment and Technology
International Journal of Advanced Manufacturing Technology | Year: 2015

During the testing and sorting of LED chips, traditional methods do not exclude the polycrystalline and fragmentary LED chips from the normal chips well. The purpose of this paper is to propose a new algorithm to solve this problem. The algorithm consists of three steps. Firstly, present a simple but efficient image segmentation method to get blobs. Secondly, analyze the blobs to exclude abnormal blobs and predict the pose (position and orientation) of the potential object based on the pose of the minimum enclosing rectangle (MER) of each remained blob. Finally, according to the predicted poses, locate the LED chips precisely in the originally captured image based on gradient orientation features. Experiments show that the algorithm is not only robust to illumination variation but also can locate the LED chips and exclude the polycrystalline and fragmentary chips efficiently. © 2015 Springer-Verlag London


Huang B.,State Key Laboratory of Digital Manufacturing Equipment and Technology | Huang B.,Huazhong University of Science and Technology | Yang W.,Huazhong University of Science and Technology | Wen Y.,Huazhong University of Science and Technology | And 2 more authors.
ACS Applied Materials and Interfaces | Year: 2015

Composite Co3O4/TiO2 nanotube arrays (NTs) were fabricated via atomic layer deposition (ALD) of Co3O4 thin film onto well-aligned anodized TiO2 NTs. The microscopic morphology, composition, and interfacial plane of the composite structure were characterized by scanning electron microscopy, energy dispersion mapping, X-ray photoelectron spectra, and high-resolution transmission electron microscopy. It was shown that the ultrathin Co3O4 film uniformly coat onto the inner wall of the high aspect ratio (>100:1) TiO2 NTs with film thickness precisely controlled by the number of ALD deposition cycles. The composite structure with ∼4 nm Co3O4 coating revealed optimal photoelectrochemical (PEC) performance in the visible-light range (Î" > 420 nm). The photocurrent density reaches as high as 90.4 ÎA/cm2, which is ∼14 times that of the pristine TiO2 NTs and 3 times that of the impregnation method. The enhanced PEC performance could be attributed to the finely controlled Co3O4 coating layer that enhances the visible-light absorption, maintains large specific surface area to the electrolyte interface, and facilitates the charge transfer. © 2014 American Chemical Society.


Wu T.,Huazhong University of Science and Technology | Pei X.,Huazhong University of Science and Technology | Lu Y.,Huazhong University of Science and Technology | Chen C.,Huazhong University of Science and Technology | Gao L.,State Key Laboratory of Digital Manufacturing Equipment and Technology
Journal of Network and Computer Applications | Year: 2013

With the boom of Internet Technology, it becomes possible to combine designers from different disciplines into one team to support product design globally. In this paper, a distributed collaborative product design environment is presented to support top-down process oriented product design. In conceptual design stage, the artifact is managed by semantic norm model (SNM). In SNM, the designers can define virtual components at early design stage and instantiate those components at later detailed design stage. By role-based access control (RBAC), different roles with corresponding permissions could be assigned to distributed designers, and the designers could concurrently modify different components of the product relevant to his or her roles. Based on the SNM and RBAC system, a distributed collaborative product design environment is developed and the top-down oriented product design process is demonstrated. © 2013 Elsevier Ltd. All rights reserved.

Loading State Key Laboratory of Digital Manufacturing Equipment and Technology collaborators
Loading State Key Laboratory of Digital Manufacturing Equipment and Technology collaborators