Article
Engineering, Multidisciplinary
R. Jini Raj, J. Bruce Ralphin Rose, A. Vasudevan
Summary: This article proposes a bio-inspired active camber morphing technique to enhance the aerodynamic performance of MAVs and UAVs. It introduces a Fish Bone Active Camber (FishBAC) corrugated rib design concept for a UAV. The rib geometry is analyzed using ANSYS FEA module and the CFD simulation is conducted to evaluate the aerodynamic performance.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Agricultural Engineering
Jacopo Maffia, Andre J. A. Aarnink, Johan P. M. Ploegaert, Elio Dinuccio, Paolo Balsari, Hilko H. Ellen
Summary: Laying hen houses are a known source of fine particulate matter (PM10), but this study found that outdoor runs also contribute to PM emissions. Factors driving PM emissions from outdoor runs include hen density and soil moisture. PM emissions from hen activities at the study farm were estimated at 8.9 mg hen(-1) d(-1), much lower than indoor rearing emissions.
BIOSYSTEMS ENGINEERING
(2021)
Article
Energy & Fuels
Hector G. Parra, Hernan D. Ceron, William Gomez, Elvis E. Gaona
Summary: Vortex generators are used to maintain a stable turbulent behavior in aircraft wings and wind turbine blades. By improving the transition from laminar to turbulent boundary layer regime, they prevent abrupt shedding. With the use of fixed vortex generators, HAWT turbines achieve higher energy production.
Article
Computer Science, Interdisciplinary Applications
V. T. Gopinathan, J. Bruce Ralphin Rose
Summary: The aerodynamic behavior of sweptback wing configurations with bio-inspired humpback whale leading-edge tubercles has been investigated using computational and experimental techniques. The study validates the aerodynamic performance of tubercled wings with different airfoils and analyzes the effects of leading-edge protuberances on stall delay, flow separation control, and vortex distribution. The experimental data provide useful insights for the design of novel lifting surfaces, hydroplanes, and wind turbines in the future.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2022)
Article
Green & Sustainable Science & Technology
Philipp Spoerl, Aron Goendoer, Johanna Irrgeher, Thomas Prohaska, Simone Trimmel, Leo Capari, Daniela Haluza, Bernhard Scharf, Anne Kasper-Giebl, Ulrike Pitha
Summary: The mobile module-based wind tunnel developed in this study is designed to investigate the interaction between airborne particulate matter and various surface structures, providing flexibility in setting, easy transport, and set up at different locations. Through measuring atmospheric parameters, flow speeds, turbulence intensities, and Reynolds numbers, the performance of the wind tunnel in capturing different sizes of particles was evaluated.
Article
Thermodynamics
Kun Wang, Wei Xia, Jiayuan Ren, Weiwei Yu, Haocheng Feng, Shuling Hu
Summary: This study investigates the environmental adaptation of wind energy harvesters by mimicking the fluttering of leaves. Through aeroelastic modeling and laboratory testing of Palm leaves, the mechanism of leaf flutter is understood and an artificial leaf wind energy harvester is designed and tested in a wind tunnel. The study highlights the bio-inspired design of wind energy harvesters with low cut-in wind speed and stable output frequency.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Environmental Sciences
Xuyi Zhang, Shan Yin, Junyao Lyu, Ningxiao Sun, Guangrong Shen, Chunjiang Liu
Summary: A study established a simpler and more straightforward method to obtain the submicron particulate matter Vd on plant leaves by determining the attenuation pattern of particle concentration in a smog chamber. The indirect method was found to be feasible for determining Vd, as there was no significant difference between the values obtained using this method and the wind tunnel method.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Acoustics
Yannian Yang, Yu Liu, Rui Liu, Chao Shen, Pikai Zhang, Renke Wei, Xiaomin Liu, Pengwei Xu
Summary: The aeroacoustic wind tunnel at SUSTech is a new facility for studies on sound generation mechanisms, noise reduction methods, and aerodynamic designs, with high-quality flow field and low background noise levels. The design methodology for wind-tunnel major components is detailed, and validation tests of flow quality and aeroacoustic performance are conducted. A benchmark test of airfoil tonal noise is performed using microphone and Particle Image Velocimetry measurements, showing consistent features with existing experimental observations.
Review
Green & Sustainable Science & Technology
Ruiyang He, Haiying Sun, Xiaoxia Gao, Hongxing Yang
Summary: This paper provides a comprehensive overview and in-depth discussion on wind turbine experiments in wind tunnels, covering various aspects such as pre-experimental preparations, wind tunnel tests on different terrains, and wake behavior studies, offering important insights for solving theoretical problems and practical research in wind energy.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Multidisciplinary
Leon Mishnaevsky Jr, Mohsen Jafarpour, Johanna Krueger, Stanislav N. Gorb
Summary: This paper presents a new concept of extra-durable and sustainable wind turbine blades, addressing the challenge of degradation prevention and providing a solution for recyclability and sustainability. The development of bio-inspired dual-mechanism-based interface adhesives ensures strong attachment during operation and allows for adhesive joint separation for re-use.
Article
Physics, Multidisciplinary
Yangkai Jin, Gao Wang, Daming Yuan, Peilong Wang, Jing Wang, Huaicheng Chen, Liyu Liu, Xingjie Zan
Summary: How active matters survive adaptively in complex and changeable environments is a common concern among scientists. Genetics, evolution, and natural selection play vital roles in biological evolution and survival in harsh environments. However, it is challenging to intuitively reproduce these adaptive survival processes in the laboratory. By using swarm robots to study the adaptive process of active matter swarms in complex and changeable environments, the researchers propose a solution to this challenge.
Article
Chemistry, Multidisciplinary
Liu Liu, Bifeng Song, Weigang An, Xiaojun Yang, Jianlin Xuan
Summary: People have higher expectations for UAV performance, and one important area of research is improving UAVs' endurance capabilities. Birds in the wild, like albatrosses, can fly for a long time using energy from the wind. Developing wind field sensing technology is crucial for realizing energy-capturing gliding.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Civil
Wei Yi, Celia Bertin, Peng Zhou, Jiaqi Mao, Siyang Zhong, Xin Zhang
Summary: In this study, the aerodynamic characteristics of bicycle wheels were investigated using experimental and numerical methods. The results obtained from the experiments and simulations showed good agreement, providing valuable insights into the fluid distribution and force generation in cycling wheels.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Green & Sustainable Science & Technology
Guowei Xin, Jie Zhang, Liqiang Fan, Bin Deng, Wenjie Bu
Summary: This study analyzed the performance of a wind-blown sand prevention system with different structural parameters and sand accumulation around railway subgrade. The optimal porosity and opening type of a second sand fence were assessed through experiments and simulations. The research results can provide guidance for the formulation and optimization of sand prevention measures for railways and highways in deserts.
Article
Multidisciplinary Sciences
C. Harvey, V. B. Baliga, C. D. Goates, D. F. Hunsaker, D. J. Inman
Summary: The study found that joint-driven wing morphing effectively controls lift, pitching moment, and static margin in UAVs, but other mechanisms are still required for trimming. Within the range of wing extension, specific paths of joint motion allow for distinct longitudinal flight control strategies, with extension along the trajectory inherent to the musculoskeletal linkage system producing the largest changes to the aerodynamic properties investigated.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2021)
Article
Computer Science, Cybernetics
Rufeng Wang, Zhiyong Chang, Shuli Yan
Summary: The research categorizes pricing decisions based on agents' risk attitudes into four categories: independent decisions, decisions dependent on one agent's risk attitude, and decisions dependent on both agents' risk attitudes. The study shows that effective risk control by at least one agent leads to lower retail and wholesale prices, increased demand, and potential win-win strategies for supply chain members compared to the benchmark model. This provides valuable theoretical insights for managers in making pricing decisions and risk control in dual-channel supply chains with heterogeneous preferences.
Article
Engineering, Environmental
Xin Huang, Ke Ren, Zhiyong Chang, Youqing Ye, Dechun Huang, Wei Zhao, Lixin Yang, Yuqin Dong, Zhiting Cao, Haishi Qiao
Summary: A novel GBM treatment strategy combining photothermal therapy, tumor starvation, and nitric oxide therapy is developed using functionalized black phosphorus nanosheets. The mild chemical modification empowers BP with superior stability and induces release of H2O2 and NO. Membrane-coated BPAG shows improved penetration and GBM targeting ability.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Automation & Control Systems
Ruilong Cai, Neng Wan, Rong Mo, Zhiyong Chang
Summary: This paper presents a grinding wheel wear prediction method for multi-axis grinding, which calculates the simplified engagements between the grinding wheel and the workpiece on virtual planes and obtains the spatial instantaneous engagements. It accurately calculates the abrasion loss of the grinding wheel and provides a basis for predicting the tool's time of failure.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Environmental Sciences
N. Wan, Q. X. Zhuang, Z. Y. Chang, Z. F. Yi
Summary: This study proposes a method to reduce carbon emissions in free-form surface machining by optimizing the allowance of blade parts. Comparing with the traditional method, the proposed method shows significant improvements in energy consumption, material utilization, and carbon emissions. Furthermore, the feasibility of the proposed method is demonstrated by using a group of compressor blades for validation.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Yongming Yao, Hang Li, Youhong Sun, Zhiyong Chang
Summary: In this paper, a bioinspired flat membrane contactor is proposed to improve efficiency in detecting dissolved gas in seawater. The design is based on the breathing mechanism of fish and the structure of fish gills. By using 3D printing and CFD simulation, it is found that the proposed flow channel in the degasser achieves a better degassing effect compared with conventional flow channel when the membrane contact area is limited, providing good conditions for subsequent gas detection.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Engineering, Mechanical
Wei Zhang, Zhi-Yong Chang, Jie Chen
Summary: This paper addresses the vibration reduction problem of an elastic beam with an asymmetric boundary condition. The addition of an inertial nonlinear energy sink (NES) is proposed to suppress the vibration of the beam. The results demonstrate that adding the NES can effectively reduce the resonance amplitude of the beam, and a parametric optimization is conducted to improve its performance.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Lili Ren, Cheng Kong, Xiaohui Weng, Rongsheng Zhao, Zongwei Yao, Zhiyong Chang
Summary: This article investigates the ability and feasibility of using electronic nose (E-nose) for oil content recognition in oil shale for the first time. The study uses transient and steady-state fusion feature extraction method to obtain more comprehensive information of oil shale, and further discusses the influence of feature extraction methods and temperatures on oil content recognition. The experimental results show that E-nose combined with the proposed feature extraction method can realize rapid in situ recognition of oil content at low temperatures. This work will contribute to the development of more effective methods for evaluating and developing oil shale.
IEEE SENSORS JOURNAL
(2023)
Article
Automation & Control Systems
Jieshi Dong, Zhiyong Chang, Peng Chen, Jinming He, Neng Wan
Summary: A novel tool orientation optimization method based on the best curvature matching was proposed in this study to fully exploit the advantages of the bull-nose tool on processing complex surfaces. The experimental results demonstrated that the proposed method significantly reduced the scallop height, improved machining quality, and exhibited high potential in engineering applications.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Endocrinology & Metabolism
Xiaohui Weng, Gehong Li, Ziwei Liu, Rui Liu, Zhaoyang Liu, Songyang Wang, Shishun Zhao, Xiaotong Ma, Zhiyong Chang
Summary: Studies have shown differences in breath composition between diabetics and healthy individuals, prompting the exploration of electronic nose devices for diabetes detection. This study developed a non-invasive preliminary screening system using a homemade electronic nose sensor array to detect respiratory gas markers. The system utilized feature extraction methods and optimization algorithms to reduce the number of sensors while maintaining accuracy. Experimental results demonstrated high accuracy and low cost, making it a feasible option for in-car diabetes screening.
ENDOCRINE CONNECTIONS
(2023)
Article
Chemistry, Analytical
Jin Tong, Chengxin Song, Tianjian Tong, Xuanjie Zong, Zhaoyang Liu, Songyang Wang, Lidong Tan, Yinwu Li, Zhiyong Chang
Summary: This study designed an electronic nose combined with a machine learning classification method for real-time and rapid detection of vehicle exhaust pollutants. By optimizing the sensor array, the application of the electronic nose on vehicles was successfully achieved while ensuring classification recognition rate and reducing costs.
Article
Polymer Science
Bo Zhao, Li Guo, Mingze Han, Yunhong Liang, Mo Li, Shuli Ma, Tianjian Tong, Zhiyong Chang
Summary: In this study, electrospun filters were developed as pre-filters for electronic nose (PFEN) to mitigate the disturbance on gas detection in dusty environments. The results showed that all filters did not affect the response of sensors to the detecting gas, and the PCL/GO-3 filter exhibited the best performance in terms of removal efficiency, pressure drop, and quality factor. These results indicate that electrospun filters can be an excellent option for mitigating PM deposition for gas detection in dusty environments.
JOURNAL OF APPLIED POLYMER SCIENCE
(2023)
Article
Chemistry, Analytical
Donghui Chen, Bingyang Wang, Xiao Yang, Xiaohui Weng, Zhiyong Chang
Summary: Accurate and rapid prediction of pesticides in groundwater is crucial for protecting human health. This study introduced the TrAdaBoost transfer learning method to recognize pesticides in groundwater using an electronic nose. Two steps were conducted: qualitative identification of pesticide type and semi-quantitative prediction of pesticide concentration. The integration of support vector machine with TrAdaBoost showed significantly improved recognition rates compared to methods without transfer learning. These results demonstrate the potential of TrAdaBoost-based support vector machine approaches in recognizing pesticides in groundwater with limited samples.
Article
Engineering, Environmental
Bingyang Wang, Xiaodan Li, Donghui Chen, Xiaohui Weng, Zhiyong Chang
Summary: In this paper, a novel solution is proposed to achieve the precise analysis of water quality parameters and odor concentration of wastewater using an electronic nose device. The method involves three steps: qualitative recognition of wastewater samples, correlation analysis between electronic nose response signals and water quality parameters and odor concentration, and quantitative prediction of odor concentration and water quality parameters. The proposed method achieved satisfactory results, with a recognition rate of 98.83%, a R2 value of 0.992, and an RMSE value less than 0.9476.
Article
Chemistry, Analytical
Jieshi Dong, Jinming He, Song Liu, Neng Wan, Zhiyong Chang
Summary: This paper proposes a multi-scale tool orientation generation method that considers both the machining strip width and roughness scales. It ensures a smooth tool orientation and avoids interference in the machining process. The experimental verification results show that the tool orientation generated by this method can meet both macro- and micro-scale requirements.
Article
Chemistry, Multidisciplinary
Fangrong Wang, Dongsheng Bai, Zhaoyang Liu, Zongwei Yao, Xiaohui Weng, Conghao Xu, Kaidi Fan, Zihan Zhao, Zhiyong Chang
Summary: With the rapid development of shared cars, a two-step drunk driving detection framework for shared cars that accurately judges whether the driver is drunk has been proposed in this paper. By optimizing the sensor array based on the random forest algorithm, the cost and volume of the electronic nose are reduced. Through time slicing of the original data, the optimal sampling time is found. Using the proposed framework, the accuracy of driver drunk driving detection in shared cars reaches 99.44% and 100% for the first and second steps, respectively, with a sampling time of 5 s. This paper presents a practical electronic nose system for the detection of drunk driving in shared cars.
APPLIED SCIENCES-BASEL
(2023)
