Prof. Hongpeng Zhang
Marine Engineering College, Dalian Maritime University, Dalian 116026, China
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Representative Publications
View All Publications1 October 2024 in Physics of Fluids
Journal Article
This paper comprehensively reviews the fundamental principles, innovative designs, and multidisciplinary applications of micromixers. First, it introduces the fundamental principles of fluid mixing in micromixers, including passive and active mixing mechanisms, and the flow characteristics of fluids at the microscale. Subsequently, it focuses on the innovative design of passive micromixers, covering a variety of designs, such as obstacle structures, curved serpentine structures, groove structures, separation and recombination structures, topology optimization structures, and baffle structures, and analyzes the effects of different structures on mixing efficiency and pressure drop. In addition, it also studies the innovative design of active micromixers, including magnetic field assistance, electric field assistance, surface acoustic wave assistance, and thermal effect assistance, and analyzes the effects of different driving modes on mixing efficiency. Finally, it outlines the multidisciplinary applications of micromixers in the fields of biomedicine, chemical analysis, environmental monitoring and control, and new energy. This review aims to provide a comprehensive reference for the research and application of micromixers and promote their application in more fields.
Journal Article
Wenbo HanXMXiaotong Mu
Xiaotong MuYLYu Liu
Yu Liu鑫王鑫 王
鑫 王WLWei Li
Wei LiHongpeng Zhang +1
In the field of marine engineering, the friction and wear experienced by rotating mechanisms are recognized as significant contributors to the failure of marine machinery. In order to enhance the safety and dependability of marine ship operations, the implementation of on-line oil wear debris particle detection sensors enables the on-line monitoring of oil and facilitates the rapid identification of abnormal wear locations. This paper provides a critical review of the recent research progress and development trends in the field of sensors for on-line detection of oil wear debris particles. According to the method of sensor detection, wear debris particle detection sensors can be classified into two distinct categories: electrical and non-electrical sensors. Electrical sensors encompass a range of types, including inductive, capacitive, and resistive sensors. Non-electrical sensors encompass a range of technologies, such as image processing sensors, optical sensors, and ultrasonic sensors. Finally, this review addresses the future research directions for wear debris particle detection sensors in light of the challenging problems currently faced by these sensors.
21 April 2020 in IEEE Transactions on Industrial Electronics
Journal Article
HSHaotian Shi
Haotian ShiHongpeng ZhangXMXiaoxue Ma
Xiaoxue MaFRFoday Rogers
Foday RogersXZXupeng Zhao
Xupeng ZhaoLZLin Zeng
Lin ZengAn impedance debris sensor capable of simultaneously detecting inductance and resistance parameters is presented, which mainly consists of two planar coils in parallel, two excitation silicon steel strips inserted in the inner hole of coils and a built-in silicon steel strip located in the center of channel. The excitation silicon steel strips and the built-in silicon steel strip establish a detection region with a high-gradient magnetic field to improve the sensitivity of the sensor. And the square channel makes full use of the sensitive detection region, thereby further increasing the detection throughput. Experiments have shown that the amplitudes of the inductance and resistance pulses generated by the same particle many times through the detection region are different. The uncertainty of the sensor can be reduced for an accurate size information by combining the detection results of the inductance and resistance parameters. By comparing and analyzing the inductance parameter detection result and the resistance parameter detection result, the impedance debris sensor can distinguish and measure 25μm iron particle and 85μm copper particle. With its high sensitivity, high throughput and capability of multi-parameter detection, this sensor can potentially be used for health monitoring of hydraulic equipment.
15 July 2019 in IEEE/ASME Transactions on Mechatronics
Journal Article
Inductive particle sensors are widely used in online wear condition monitoring. Understanding the behavior of a particle magnetized in an alternating current (ac) magnetic field and the associated sensing mechanism is fundamental to identifying the particle size, improving the detection precision and enhancing the sensor performance. Here, we first establish a particle magnetization model related to particle conductivity, permeability, diameter, and field frequency. Next, an expression for particle detection using inductance is derived that consists of a product of the particle volume, complex particle susceptibility, and particle sensor sensitivity. The derived formulas and experiments reveal that the output of the inductive sensor is a complex number. Therefore, a vector analysis method is proposed for inductive particle detection. The sensitivities of various sensors are discussed. Experiments are conducted using milliparticles and microparticles in various positions relative to sensors. A comparison of the calculation results with the experimental results exhibits satisfactory agreement. Consequently, an optimized rectangular cross-section of coils is proposed. This study provides a theoretical basis for the design and optimization of particle sensors based on magnetic principles.
10 December 2019 in IEEE Sensors Journal
Journal Article
LZLin Zeng
Lin ZengWWWenqi Wang
Wenqi Wang
FRFoday Rogers
Foday Rogers
Hongpeng ZhangXZXingming Zhang
Xingming Zhang
DYDingxin Yang
Dingxin Yang
A high sensitivity micro impedance sensor is presented for oil condition monitoring. The sensor consists of a microfluidic chip and a sensing unit. The sensing unit contains two solenoid coils and eight silicon steel tips, which can generate a highly focusing magnetic field. The micro impedance sensor can not only distinguish between ferromagnetic and non-ferromagnetic metal particles, but also water droplets and air bubbles in oil. The simulation results show that the magnetic induction is significantly improved due to the silicon steel tips, and the electric field intensity is also slightly enhanced. In the inductance experiments, the sensitivity is extremely improved based on magnetic focusing by silicon steel tips, iron particles with diameters down to 18μ m and copper particles with diameters down to 75 μm have been successfully detected by using the simple high sensitivity micro impedance sensor. In the capacitance experiments, the signal to noise ratio (SNR) of the micro impedance sensor with silicon steel tips is slightly improved; water droplets with diameters down to 100 μm and air bubbles with diameters down to 200 μm have been detected. The high sensitivity micro impedance sensor has been demonstrated to achieve the precise measurement of particle sizes and the accurate counting of microparticles.
9 August 2021 in IEEE Transactions on Industrial Electronics
Journal Article
HSHaotian Shi
Haotian ShiHongpeng ZhangDHDian Huo
Dian Huo
SYShuang Yu
Shuang Yu
JSJun Su
Jun Su
Yuqing Sun +4
Oil condition monitoring is an important way to achieve mechanical equipment health assessment, condition early warning, fault diagnosis, and intelligent maintenance. A microsensor integrated with inductance-resistance and capacitance sensing units is presented, which can comprehensively detect metal debris, air bubbles, and moisture in oil based on impedance analysis. The inductance-resistance sensing unit not only detects traditional inductance parameter, but also proposes a resistance detection method based on coil to further improve the detection sensitivity for nonferromagnetic metal debris. The capacitance sensing unit can detect air bubbles, and a new moisture measurement method is also proposed. Based on the signal characteristics of inductance, resistance and capacitance detection results, the microsensor can effectively distinguish 16–500 μ m iron debris, 60–500 μ m copper debris, >170 μ m air bubbles and moisture in oil. The ultrasensitive microsensor can obtain more oil status information, which has important value and wide engineering application prospect for modern fault diagnosis and prediction theory based on information fusion.
About Me
Prof. Hongpeng Zhang is a Professor and a Supervisor at the Marine Engineering College of Dalian Maritime University. He obtained his PhD at the same university and then he was a visiting scholar at the School of Electromechanics, University of Waterloo, Canada from 2009 to 2010. He is the chairman of the popularization committee of Liaoning Shipbuilding Engineering Society, an expert of the Ministry of Science and Technology, an expert of the Ministry of Transportation and Communications, a member of the Chinese Society of Measurement and Testing, and the deputy secretary general of the China Institute of Navigation's Professional Committee of Water Transportation Safety Engineering and Technology. His research fields lie in Ship Mechatronics, Intelligent Sensor Technology, Ship Pollution Prevention and Control Technology, and Microfluidic Chip Technology. In recent years, he has published more than 160 academic papers, more than 70 of which have been searched by SCI and EI. He has also co-edited one Encyclopedia of Microfluidics (in English) published by CRC and has been awarded 1 international patent, 2 PCT patents, 26 invention patents, and 15 utility model patents. He is now a member of the editorial board of the Journal of Marine Engineering, guest editor-in-chief of the Journal of Marine Science and Engineering, and a member of the scientific and popularization committee of Liaoning Shipbuilding Engineering Society.