Hao Chang

Chongqing University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Lihong Chang

Beijing University of Agriculture

Luqing Shang

State Key Laboratory of Medicinal Chemical Biology

Feng Gao

Xi'an University of Technology

Xiao‐Ting He

Chongqing University

Yang Yang

Tianjin University of Science and Technology

Wei Qian

Central South University

Jun‐Yi Sun

Chongqing University

Xiaohong Chang

Beijing Wuzi University

Yan Li

Sichuan University

Wei Zhao

State Key Laboratory of Medicinal Chemical Biology

Cooperative Institutions

Nankai University

State Key Laboratory of Medicinal Chemical Biology

Jilin University

Tianjin University of Science and Technology

Chinese Academy of Sciences

China International Science and Technology Cooperation

Sun Yat-sen University

Peking University

Zhejiang University

Shandong University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Identification of Milling Cutter Wear State under Variable Working Conditions Based on Optimized SDP

Applied Sciences (2024)

Hao Chang Feng Gao Yan Li Lihong Chang

Traditional data-driven tool wear state recognition methods rely on complete data under targeted working conditions. However, in actual cutting operations, working conditions vary, and data for many conditions lack labels, with data distribution characteristics differing between conditions. To address these issues, this article proposes a method for recognizing the wear state of milling cutters under varying working conditions based on an optimized symmetrized dot pattern (SDP). This method utilizes complete data from source working conditions for representation learning, transferring a generalized milling cutter wear state recognition model to varying working condition scenarios. By leveraging computer image processing features, the vibration signals produced by milling are converted into desymmetrization dot pattern images. Clustering analysis is used to extract template images of different wear states, and differential evolution algorithms are employed to adaptively optimize parameters using the maximization of Euclidean distance as an indicator. Transfer learning with a residual network incorporating an attention mechanism is used to recognize the wear state of milling cutters under varying working conditions. The experimental results indicate that the method proposed in this paper reduces the impact of working condition changes on the mapping relationship of milling cutter wear states. In the wear state identification experiment under varying conditions, the accuracy reached 97.39%, demonstrating good recognition precision and generalization ability.

Identification

10.3390/app14104314

Cite

Citations (0)

Development of Flowing Automatic Quartz Crystal Microbalance System for DNA Detection

Journal of Nanoscience and Nanotechnology (2013)

Libo Nie Zhu Chen Haojie Zou Hao Chang

A novel flowing automatic QCM (Quartz Crystal Microbalance) system for DNA detection was fabricated in this paper. The system included a multi-channel flowing system, a flow cell and a constant temperature controlling system, which integrated multi-functions such as flowing detection, temperature controlling and automatic analysis. Moreover, this system was utilized for DNA immobilization and hybridization detection. The results showed that the system is of good stability and validity.

Quartz Crystal Microbalance

10.1166/jnn.2013.6894

Cite

Citations (3)

Video-based measurement for transverse vibrations of moving catenaries in mine hoist using mean shift tracking

Advances in Mechanical Engineering (2015)

Jiannan Yao Xingming Xiao Hao Chang

This work proposed a non-contact video-based measurement for transverse displacements of hoisting catenaries in mine hoist using mean shift tracking. Hoisting catenaries are typically moving cables making it impossible to use traditional methods. To obtain the transverse displacements of an arbitrary point in the hoisting catenary, a guide line that was perpendicular to the hoisting catenaries was inserted in the sequential images. Through tracking the dynamic intersection area by mean shift algorithm and then recording the location of the tracker, the transverse vibration displacements of the selected point in the hoisting catenary can be easily obtained. A theoretical model of transverse vibration of a catenary was established, and model validation was then conducted confirming the reasonability and applicability of the proposed method. Eventually, a laboratory experiment was also conducted and then confirmed the accuracy of the proposed method. This work is perfectly suitable for the measurement of moving cable vibration.

Catenary

Hoist (device)

10.1177/1687814015608073

Cite

Citations (8)

Establishment of a Customizable Fluorescent Probe Platform for the Organelle-Targeted Bioactive Species Detection

ACS Sensors (2020)

Dan Qiao Landie Li Tangliang Shen Jiejie Yang Hao Chang

A customizable fluorescent probe platform that can be used to detect various bioactive analytes offers significant potential for engineering a wide range of bioprobes with diverse sensing and imaging functions. Here, we show a facile and innovative strategy for introducing cis-amino-proline as a carrier scaffold, which is appended with three specific functional groups: a target group, a water-soluble group, and fluorophores with triggers. The potency of the designed strategy could be customized to generate variable multifunctional fluorescent probes for detecting bioactive species of interest, including reactive oxygen species (ROS), reactive nitrogen species (RNS), reactive sulfur species (RSS), ROS/RSS, and even enzymes. We designed and synthesized five representative water-soluble and organelle-targeted compounds, PMB, PMN, PMD, PRB, and PME, with emission wavelengths of these fluorescent probes varying from blue to red (465, 480, 535, 550, 565, and 640 nm). This strategy could be exemplified by its application to develop a mitochondria-/lysosome-targeting multifunctional fluorescent probe capable of imaging bioactive species of interest in live cells and nude mice.

Organelle

Reactive nitrogen species

10.1021/acssensors.0c00992

Cite

Citations (17)

Design and application of near-infrared fluorophore based on a novel thiazolidinedione-functionalized dicyanoisophorone

Talanta (2020)

Xiao Liang Lu Zhang Bing Bing Shi Hao Chang Dan Qiao

Stokes shift

10.1016/j.talanta.2020.121433

Cite

Citations (11)

Crosswinds Effect on the Thermal Performance of Wet Cooling Towers Under Variable Operating Conditions

IOP Conference Series Earth and Environmental Science (2018)

You Liang Chen Yong Feng Shi Jian Gang Hao Hao Chang Feng Zhong Sun

In order to quantitatively analyze the influence of the variable operating parameters on the cooling performance of natural draft wet cooling towers (NDWCTs), a hot model test system was set up with adjustable ambient temperature and humidity, circulating water flowrate and temperature. In order to apply the hot model test results to the real tower, the crosswind Froude number is defined. The results show that the crosswind has a negative effect on the thermal performance of the cooling tower, and there is a critical crosswind velocity corresponding to the lowest cooling efficiency. According to the crosswind Froude number similarity, when the ambient temperature decreases, or the circulating water flowrate and temperature increase, the cooling tower draft force will increase, and the critical crosswind velocity will increase correspondingly.

Crosswind

Froude number

Cooling tower

10.1088/1755-1315/114/1/012007

Cite

Citations (2)

Predicted dynamic response of a composite beam with history-dependent damage

Computers & Structures (1987)

Hao Chang D. H. Allen

10.1016/0045-7949(87)90005-8

Cite

Citations (3)

Nondestructive Testing Based Compressive Bearing Capacity Prediction Method for Damaged Wood Components of Ancient Timber Buildings

Materials (2021)

Lihong Chang Wei Qian Hao Chang Xiaohong Chang Taoping Ye

In this research, a wave-drag modulus nondestructive testing method was proposed to predict the compressive bearing capacity of damaged wood components. Using an ancient Chinese building as a case study, internal and external inspections were performed to obtain defect data and related tree species information. Using the same tree species, wave-drag modulus and scale tests were carried out to predict the residual bearing capacity when there was damage in the form of internal cavities or edge material reduction and to compare the damage and loss experimental data. The results show that the internal defect combination model established by two nondestructive testing methods (stress wave and impedance meter) based on the weight distribution can accurately determine the internal damage condition of wood components. There was a significant correlation between wave-drag modulus and compressive strength along the wood grains. The measured values of wood components with different defects were consistent with the theoretical values predicted by the wave-drag modulus, which can effectively improve the prediction of residual bearing capacity. In addition, it was determined that edge material reduction is more destructive to a wood component than the presence of an interior cavity. Thus, the wave-drag modulus can quickly locate vulnerable sections and provide a relevant basis for judging the material condition of wood components in ancient buildings.

10.3390/ma14195512

Cite

Citations (1)

An AIE and ESIPT based neuraminidase fluorescent probe for influenza virus detection and imaging

Talanta (2022)

Hao Chang Yu Mei Yidan Li Luqing Shang

Neuraminidase inhibitor

10.1016/j.talanta.2022.123583

Cite

Citations (14)

A New Procedure for Nonlinear Dynamic Analysis of Structures Under Seismic Loading Based on Equivalent Nodal Secant Stiffness

International Journal of Structural Stability and Dynamics (2017)

Tzu-Ying Lee Kun-Jun Chung Hao Chang

This paper presents a dynamic analysis procedure for predicting the responses of large, highly nonlinear, discontinuous structural systems subjected to seismic loading. The concept of equivalent nodal secant stiffness is adopted to diagonalize the conventional stiffness matrix of the structure. With the lumped-mass idealization, the decoupled equilibrium equations of the structure are then solved by the implicit Newmark integration method. Additionally, an incremental-iterative procedure is performed to ensure that the equilibrium conditions are satisfied at the end of each time step. The proposed analysis procedure has the advantages of both the conventional explicit and implicit integration procedures, but with their disadvantages removed. Through extensive applications, the results demonstrate that the proposed procedure is simple and robust for analyzing practical structural systems in terms of computational efficiency and stability.

Direct stiffness method

Seismic loading

Newmark-beta method

10.1142/s0219455418500438

Cite

Citations (4)