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Search Results: 1 - 10 of 93560 matches for " Peng Chen "
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Modeling of Piezoelectric Actuators Based on a New Rate-Independent Hysteresis Model  [PDF]
Jingyang Peng, Xiongbiao Chen
Modern Mechanical Engineering (MME) , 2011, DOI: 10.4236/mme.2011.12004
Abstract: Accurate model representatives of piezoelectric actuators (PEAs) are important for both understanding the dynamic behaviors of PEAs and control scheme development. However, among the existing models, the most widely used classical Preisach hysteresis model are incapable of representing the commonly-encountered one-sided (non-negative voltage input range) hysteresis behaviors of PEAs. To solve this problem, a new rate-independent hysteresis model was developed for the one-sided hysteresis and then integrated with the models representative of creep and dynamics to form a single model for the PEAs. Experiments were carried out to validate the developed models.
A Survey of Modeling and Control of Piezoelectric Actuators  [PDF]
Jingyang Peng, Xiongbiao Chen
Modern Mechanical Engineering (MME) , 2013, DOI: 10.4236/mme.2013.31001

Piezoelectric actuators (PEAs) have been widely used in micro- and nanopositioning applications due to their fine resolution, fast responses, and large actuating forces. However, the existence of nonlinearities such as hysteresis makes modeling and control of PEAs challenging. This paper reviews the recent achievements in modeling and control of piezoelectric actuators. Specifically, various methods for modeling linear and nonlinear behaviors of PEAs, including vibration dynamics, hysteresis, and creep, are examined; and the issues involved are identified. In the control of PEAs as applied to positioning, a review of various control schemes of both model-based and non-model-based is presented along with their limitations. The challenges associated with the control problem are also discussed. This paper is concluded with the emerging issues identified in modeling and control of PEAs for future research.


The Simulation of Rumor’S Spreading and Controlling in Micro-Blog Users’ Network  [PDF]
Peng Chen, Nan Gao
Journal of Software Engineering and Applications (JSEA) , 2013, DOI: 10.4236/jsea.2013.63B022
Abstract: In this work, a rumor’s spreading and controlling in a directed Micro-blog user network being consisted with 580 000 nodes are simulated. By defining some authority nodes that release anti-rumor information as the prevention strategy, the effect of the nodes’ role in network on rumor’s suppression is studied. The findings show that rumor will be spread out fast and reach a stable level within limited steps. The suppression of rumor is more predominated by the intervening opportunity, the earlier the intervention strategy was implemented, the better the rumor’s controlling could be achieved. The controlling effect is less relevant with the role of the authority nodes in network.
Vibration Analysis of Steel Strip in Continuous Hot-Dip Galvanizing Process  [PDF]
Peng Li, Han Chen
Journal of Applied Mathematics and Physics (JAMP) , 2013, DOI: 10.4236/jamp.2013.16007

In hot-dip galvanizing lines, undesirable vibration of the moving steel strip occurs due to the impingement of the high-speed turbulence jet, which leads to non-uniformity of zinc thickness, as well as splash of the liquid zinc. In this paper, the turbulent jet flow field is firstly numerically obtained using the CFD method. Then, the influence of the turbulent jet flow on the steel strip is simplified as a harmonic force at the impingement line, and the response of the steel strip is obtained by means of finite element analysis for different strip lengths, thickness and pretension forces. Influences of impingement distance, air knife slot gap and jet pressure, on vibration of the steel strip are also analyzed. The results will provide theoretical basis for the reduction of steel strip vibration in continuous hot-dip galvanizing process.

Research on the Relationship between Transformational Leadership and Government Service Innovation  [PDF]
Dingxiang Chen, Xiaobao Peng
Open Journal of Leadership (OJL) , 2017, DOI: 10.4236/ojl.2017.62005
Abstract: In this research, the thinking is carried out in accordance with logical order. The results of this study show that: the four dimensions of transformational leadership have different effects on the service innovation of government departments. On the basis of the results, this paper puts forward four specific strategies and methods to achieve and improve the service innovation of government departments, and discusses the shortcomings of this study and future research directions.
Thermodynamic Geometry of the Born-Infeld-anti-de Sitter black holes
Peng Chen
Physics , 2011, DOI: 10.1142/S0217751X11053742
Abstract: Thermodynamic geometry is applied to the Born-Infeld-anti-de Sitter black hole (BIAdS) in the four dimensions, which is a nonlinear generalization of the Reissner-Norstr\"Aom-AdS black hole (RNAdS). We compute the Weinhold as well as the Ruppeiner scalar curvature and find that the singular points are not the same with the ones obtained using the heat capacity. Legendre-invariant metric proposed by Quevedo and the metric obtained by using the free energy as the thermodynamic potential are obtained and the corresponding scalar curvatures diverge at the Davies points.
Sharp spectral multipliers for Hardy spaces associated to non-negative self-adjoint operators satisfying Davies-Gaffney estimates
Peng Chen
Mathematics , 2012,
Abstract: We consider the abstract non-negative self-adjoint operator $L$ acting on $L^2(X)$ which satisfies Davies-Gaffney estimates and the corresponding Hardy spaces $H^p_L(X)$. We assume that doubling condition holds for the metric measure space $X$. We show that a sharp H\"ormander-type spectral multiplier theorem on $H^p_L(X)$ follows from restriction type estimates and the Davies-Gaffney estimates. We also describe the sharp result for the boundedness of Bochner-Riesz means on $H^p_L(X)$.
Identification of Deleterious Single Amino Acid Polymorphism Using Sequence Information Based on Feature Selection and Parameter Optimization  [PDF]
Xiao Chen, Qinke Peng, Jia Lv
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B097

Most of the human genetic variations are single nucleotide polymorphisms (SNPs), and among them, non-synonymous SNPs, also known as SAPs, attract extensive interest. SAPs can be neural or disease associated. Many studies have been done to distinguish deleterious SAPs from neutral ones. Since many previous studies were based on both structural and sequence features of the SAP, these methods are not applicable when protein structures are not available. In the current paper, we developed a method based on UMDA and SVM using protein sequence information to predict SAP’s disease association. We extracted a set of features that are independent of protein structure for each SAP. Then a SVM-based machine-learning classifier that used grid search to tune parameters was applied to predict the possible disease associa-tion of SAPs. The SVM method reaches good prediction accuracy. Since the input data of SVM contain irrelevant and noisy features and parameters of SVM also affect the prediction performance, we introduced UMDA-based wrapper approach to search for the ‘best’ solution. The UMDA-based method greatly improved prediction performance. Com-pared with current method, our method achieved better performance.

An Uncertain Programming Model for Competitive Logistics Distribution Center Location Problem  [PDF]
Bingyu Lan, Jin Peng, Lin Chen
American Journal of Operations Research (AJOR) , 2015, DOI: 10.4236/ajor.2015.56042

We employ uncertain programming to investigate the competitive logistics distribution center location problem in uncertain environment, in which the demands of customers and the setup costs of new distribution centers are uncertain variables. This research was studied with the assumption that customers patronize the nearest distribution center to satisfy their full demands. Within the framework of uncertainty theory, we construct the expected value model to maximize the expected profit of the new distribution center. In order to seek for the optimal solution, this model can be transformed into its deterministic form by taking advantage of the operational law of uncertain variables. Then we can use mathematical software to obtain the optimal location. In addition, a numerical example is presented to illustrate the effectiveness of the presented model.

Thermal Conductivity of Carbon/Carbon Composites with the Fiber/Matrix Interface Modified by Silicon Carbide Nanofibers  [PDF]
Jie Chen, Xiang Xiong, Peng Xiao
Advances in Chemical Engineering and Science (ACES) , 2016, DOI: 10.4236/aces.2016.64045
Abstract: Silicon carbide nanofibers grew on the surface of carbon fibers of a unidirectional carbon preform by CCVD and then chemical vapor infiltration was used to densify the preform to get the SiCNF-C/C composite. The effects of silicon carbide nanofibers on the microstructure of the pyrolytic carbon and the thermal conductivity of the SiCNF-C/C composite were investigated. Results show that silicon carbide nanofibers on the surface of carbon fibers induce the deposition of high texture pyrolytic carbon around them. The interface bonding between carbon fibers and pyrolytic carbon is well adjusted. So the efficiency of heat transfer in the interface of the composite is well enhanced. The thermal conductivity of the SiCNF-C/C composite is greater than that of the C/C composite, especially the thermal conductivity perpendicular to the fiber axis.
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