Lei Chen

University of Adelaide

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Eric Hu

University of Adelaide

Morteza Mohammadzaheri

Birmingham City University

Yi‐Quan Zhang

Nanjing Normal University

Hui‐Hui Cui

Nantong University

Zhenxing Wang

Huazhong University of Science and Technology

You Song

Nanjing University

Zi‐Ling Xue

University of Tennessee at Knoxville

Zhongwen Ouyang

Huazhong University of Science and Technology

Xue‐Tai Chen

Nanjing University

Xiaowei Shi

Xidian University

Cooperative Institutions

Chinese Academy of Sciences

214

University of Chinese Academy of Sciences

Harbin Institute of Technology

Huazhong University of Science and Technology

Sichuan University

Tsinghua University

Zhejiang University

Shanghai Jiao Tong University

Shandong University

National University of Defense Technology

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UHF RFID応用のためのモノリシックSiGe BiCMOS電力増幅器

IET Conference Publications (2015)

Ying Ruan Lei Chen Zhong Guang

BiCMOS

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Perfect spectrally selective solar absorber with dielectric filled fishnet tungsten grating for solar energy harvesting

Solar Energy Materials and Solar Cells (2020)

Qiuqun Liang Qiu Yin Lei Chen Zhaolong Wang Xuandong Chen

Thermophotovoltaic

Selective surface

Plasmonic solar cell

Aperture (computer memory)

10.1016/j.solmat.2020.110664

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Citations (47)

Intelligent control of a nonlinear tank reactor based on Lyapunov direct method

Morteza Mohammadzaheri Lei Chen

In this paper, intelligent control of the outlet flow concentration of a non-thermic catalytic continuous stirred tank reactor (CSTR) is addressed. Control command is the sum of two control commands: steady state and transient commands. A fuzzy controller generates transient control command pushing the system towards the reference (desired situation). Steady state control command is generated to maintain steady state situation (based on the concept of 'control equilibrium point'). This research is performed in simulation environment; however, the mathematical model of the system is not used during stability analysis to keep the methodology useful in case of considerable uncertainties; instead, some obvious facts about the system in the form of fuzzy rules are used for stability analysis, namely 'fuzzy rough model'. Using this technique, Lyapunov asymptotic stability of control system is proved. For comparison, the case study is also controlled by neuro-predictive algorithm. The studied CSTR is known as a very good example of neuro-predictive control application; however, the newly offered hybrid intelligent method leads much better reference tracking performance as well as less change in control command (which is very important in implementation).

Transient (computer programming)

Model Predictive Control

Equilibrium point

Intelligent Control

10.1109/icit.2009.4939554

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Design of Data Recorder for Testing Flight Based on MAX197

Machinery & Electronics (2005)

Lei Chen

This paper introduced MAX197A/D converter which was used in data recorder for testing flight.The design specific and flow chart were also presented in some extent.The recorder was proved to achieve anticipate demand by simulate test.

Flow chart

Data logger

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Research on the density of underwater sand and gravel fillings based on geotechnical centrifugal tests

IOP Conference Series Earth and Environmental Science (2024)

Bo Li Songtao Wei Liqun Shen Lei Chen

Abstract The density of underwater dumping materials plays a major role in cofferdam engineering designs. However, it is difficult to accurately measure the density of underwater dumping materials. This study investigated the influence of particle size distribution of granular materials on the density of underwater filling materials. Considering the underwater dumping project of a hydropower station dam in the Han River as the prototype condition, several underwater dumping density centrifugal tests were conducted on sand gravel and sand mixtures. Based on the CKY200 large-scale geotechnical centrifuge, a single-embankment vertical-blockage underwater filling test device in a centrifuge field was developed. The results demonstrated the relationship between the compactness of the dumping body and the grading of loose particles, depth of dumping, and height of the upper loading. This indicates that the underwater filling material has a higher compactness and can reach a dense state. When the grading is poor, the compactness decreases. The greater the depth of filling, the greater the compactness. When vertical compression was applied to the upper part of the backfill, the compactness of the backfill, particularly in shallow areas, was significantly improved. These results provide insights for the design and construction of underwater dumping water conservation systems.

10.1088/1755-1315/1330/1/012045

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An Artificial Intelligence Solution for Heat Flux Estimation Using Temperature History; A Two-Input/Two-Output Problem

Chemical Engineering Communications (2016)

Ali Mirsepahi Lei Chen B. O'Neill

In order to check the applicability of Artificial Intelligent (AI) techniques to act as reliable inverse models to solve the multi-input/multi-output heat flux estimation classes of inverse heat transfer problems (IHTPs), in a newly reconstructed experimental setup, a two-input/two-two output (TITO) heat flux estimation problem was defined in which the radiation acts as the main mode of thermal energy. A simple three-layer perceptron Artificial Neural Network (ANN) was designed, trained, and employed to estimate the input powers (represent emitted heats-heat fluxes from two halogen lamps) to irradiative batch drying process. To this end, different input power functions (signals) were input to the furnace/dryer’s halogen lamps, and the resultant temperature histories were measured and recorded for two different points of the dryer/furnace. After determining the required parameters, the recorded data were prepared and arranged to be used for inverse modelling purposes. Next, an ANN was designed and trained to play the role of the inverse heat transfer model. The results showed that ANNs are applicable to solve heat flux estimation classes of IHTPs.

10.1080/00986445.2016.1253008

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Citations (3)

CCDC 883861: Experimental Crystal Structure Determination

The Cambridge Structural Database (2013)

Jiuyu Guo Xiaofei Jin Lei Chen Zuoxiang Wang Yan Xu

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/ccynqny

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Distributed Hybrid Vibration Absorbers for Shock and Forced Vibrations

Applied Mechanics and Materials (2012)

Lei Chen

The control methods used for free/shock vibration suppression are normally different from those used for forced vibration cancellation, because shock vibration is regarded as a type of transient vibration that is different in nature from steady-state forced vibration. However, both steady-state and shock excitations may occur in flexible structures, so there is a need to control both types of vibrations. To show the integration of the two different vibration control strategies, a hybrid control system based on adhesive strain gauges and PZT patches is proposed to construct a distributed resonant absorber and shock absorber together. The hybrid system is governed by a control arbitrator that decides which absorber should be active according to the different excitation conditions. The effectiveness of the integrated system is shown through simulation and experimental studies.

Dynamic Vibration Absorber

Transient (computer programming)

Shock absorber

Active Vibration Control

10.4028/www.scientific.net/amm.166-169.1709

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Mixed mode operation for the Solar Aided Power Generation

Applied Thermal Engineering (2018)

Jiyun Qin Eric Hu Graham J. Nathan Lei Chen

Solar Power

Grid parity