Article
Engineering, Mechanical
Peiyi Xu, Donglai Zhang, Wei Gao, Anshou Li
Summary: This paper presents a two-dimensional stress analysis model, numerical simulation, and experimental study on ultrasonic de-icing to address the problem of ice accumulation on wind turbine blades. The results demonstrate the feasibility of ultrasonic guided waves de-icing, with ice cracking and shedding first at the edge of the plate and lastly at the sticking position of the transducers.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Aerospace
Esmaeil Esmaeilifar, L. Prince Raj, R. S. Myong
Summary: Accurately predicting de-icing processes is crucial for the proper sizing and design of ice protection systems in aircraft icing. A unified framework has been developed to simulate the unsteady electrothermal de-icing process, incorporating new concepts to accurately describe the process. The framework consists of multiple solvers and utilizes a unified finite volume approach, resulting in improved agreement with experimental data.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Applied
Xinpeng Wei, Jue Wei, Yujia Feng, Jian Wang
Summary: In this study, a strategy for delayed icing and rapid de-icing using a photothermal hydrophobic surface and thermal isolated porous layer is proposed. The photothermal material used is carbon micro-spheres produced by combustion, which also serves as the supporting structure for the rough surface. The thermal isolated porous layer, prepared by evaporation-induced phase separation, effectively restricts heat transmission, resulting in a significant increase in the surface temperature of the coating. The coating exhibits excellent self-cleaning properties and offers great potential for practical anti/de-icing applications.
PROGRESS IN ORGANIC COATINGS
(2023)
Article
Computer Science, Information Systems
Jiaming Su, Minghua Hu, Jianan Yin, Yingli Liu
Summary: Facing congestion and delay, the aircraft surface operation (ASO) and de-icing support resources operation (DSRO) at Beijing DaXing airport were optimized using a two-phase model and the RHC-CPLEX algorithm. It significantly reduced objective function values and improved delay and spatial distributions.
Article
Engineering, Environmental
Viktor G. Grishaev, Igor A. Usachev, Vladimir P. Drachev, Ramil K. Gattarov, Nadezhda Rudenko, Alidad Amirfazli, Ivan S. Borodulin, Ivan K. Bakulin, Mikhail Makarov, Iskander S. Akhatov
Summary: This study discusses enhancing ice contrast in the visible spectrum using ice birefringence and polarized light reflection for improved ice detection.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2022)
Review
Engineering, Environmental
S. Mahmood Mousavi, Freshteh Sotoudeh, Byoungjoo Chun, Bok Jik Lee, Nader Karimi, Salah A. Faroughi
Summary: This article discusses the problem of ice accumulation on aircraft and engine surfaces caused by supercooled water droplets in clouds and reviews the latest advancements in anti-icing methods. Using the wettability of surfaces for anti-icing treatment is a promising approach that can reduce ice accumulation and adhesion.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2024)
Article
Engineering, Aerospace
E. S. Abdelghany, Mohamed B. Farghaly, Mishari Metab Almalki, H. H. Sarhan, Mohamed El-Sayed M. Essa
Summary: This study proposes a novel approach based on machine learning and the Internet of Things to predict the thermal performance of a partial span wing anti-icing system. The efficiency of the proposed approach is verified by comparing the results with those obtained using computational ANSYS 2019 software. An artificial neural network and computational fluid dynamics data are used to build a forecasting model of wing temperature, and the ThingSpeak platform is applied to realize the concept of the IoT. Performance metrics including mean square error, maximum relative error, and absolute variance are used to evaluate the prediction model, and the results demonstrate the efficiency of the proposed approach compared to traditional numerical CFD methods.
Article
Acoustics
Yuan Tian, Qingqing Wang, Menglong Liu, Jifeng Zhang, Limin Zhou
Summary: This study aims to robustly and quantitatively characterize aircraft icing using ultrasonic guided wave (UGW) with a selected frequency-mode pair. Finite element analysis and experimental validation were conducted to demonstrate the detection capability and stability of UGW in aircraft icing characterization, showing its great potential.
Article
Chemistry, Physical
Yubo Wang, Yongyang Sun, Yiqing Xue, Fangxin Wang, Wenyan Liang, Yanhua Wang, Dongyu Zhu, Huanyu Zhao
Summary: Preparation techniques of functional surfaces by studying the correlations between the macroscopic properties and microscopic morphologies of biological surfaces have been widely discussed. In this study, laser etching techniques are used to construct micropillar arrays on a photothermally responsive shape memory polymer (SMP) surface. The reversible conversion of surface microstructure morphology is achieved with near-infrared (NIR) light and external forces, enabling surface wettability conversion. These functionalized surfaces with NIR light-controlled reversible wettability may allow new possibilities for droplet selection and transfer processes, chemical microreactions, and anti-icing/de-icing applications.
SURFACES AND INTERFACES
(2023)
Article
Thermodynamics
Anfu Chen, Guofeng Qin, Hang Gu, Jing Li, Chaozong Liu, Hanxiong Huang, Caihong Lei, Zhengrong Zhang
Summary: Magnetic nanoparticles of ferroferric oxide (Fe3O4) loaded with graphene (GP) were introduced into the polypropylene (PP) matrix to fabricate micro-architectured superhydrophobic surfaces with high water contact angles and stable air plastron, which effectively prevent icing and reduce ice adhesion strength.
APPLIED THERMAL ENGINEERING
(2023)
Article
Acoustics
Wei Tian, Yingsong Gu, Hao Liu, Xiaochen Wang, Zhichun Yang, Yueming Li, Ping Li
Summary: The study utilized a modeling method based on component-mode synthesis technique to investigate the nonlinear aeroservoelastic behaviors of a three-dimensional supersonic aircraft, validating the feasibility of the reduced-order aeroelastic model for gust response analysis. A hybrid adaptive feedback control algorithm was proposed for gust load alleviation, demonstrating better control performance for pitch attitude angle induced by gust loads.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Thermodynamics
Feng Zhang, Xinting Hou, Pihua Ji, Cheng Han, Lei Cheng, Xiaoxiao Liu
Summary: In this study, the bond-based peridynamics theory was used to simulate the dynamic damage process and evolution law of aircraft electro-impulse de-icing. A numerical analysis model was established to simulate the dynamic responses under a high strain rate. The effectiveness of the peridynamic approach was verified by comparing the results with existing experiments and finite element models.
ADVANCES IN MECHANICAL ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Longhai Song, Chao Yang, Siyuan Zhang, Yao Wang, Rui Zou, E. Cheng, Alamusi Lee, Qibo Deng
Summary: This study presents a multifunctional photothermal phase-change superhydrophobic film (MPPSF) that can prevent ice formation and achieve efficient de-icing even without sunlight irradiation, thanks to the use of carbon nanotubes (CNTs) for light-thermal conversion and phase-change microcapsules (PCMs) for storage and release of thermal energy.
Article
Engineering, Aerospace
Xiaonan Chen, Jun Huang, Mingxu Yi
Summary: This study proposes a combination of three single prediction methods for accurate development cost estimation of general aviation aircraft. The optimal weight values are determined using the shortest ideal point method, resulting in better accuracy than individual methods. The research findings indicate that the developed method has superior fitting and estimation accuracy, with wider applications.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Energy & Fuels
Yan Li, He Shen, Wenfeng Guo
Summary: This paper investigates the use of ultrasonic micro-vibration as an effective method for de-icing wind turbine blades, exploring the adhesive strength of ice under different conditions and demonstrating that ultrasonic vibration can reduce the adhesive strength of ice. The research lays a theoretical and experimental foundation for further exploring the application of ultrasonic de-icing technology to wind turbines.
Article
Engineering, Aerospace
Weiyu Zhu, Jun Li, Yuanming Xu
AEROSPACE SCIENCE AND TECHNOLOGY
(2019)
Article
Engineering, Aerospace
Mohamed Amine Bennaceur, Yuan-Ming Xu
Article
Engineering, Aerospace
Mohamed Amine Bennaceur, Yuanming Xu
AEROSPACE SCIENCE AND TECHNOLOGY
(2019)
Article
Green & Sustainable Science & Technology
Weiyu Zhu, Yuanming Xu, Huafei Du, Jun Li
Article
Chemistry, Analytical
Xuerong Liu, Yuanming Xu, Ning Li, Xiangyu Wang, Weifang Zhang
Review
Engineering, Aerospace
Yuanming Xu, Weiyu Zhu, Jun Li, Lanchuan Zhang
Article
Engineering, Aerospace
Weiyu Zhu, Yuanming Xu, Jun Li, Lanchuan Zhang
AEROSPACE SCIENCE AND TECHNOLOGY
(2020)
Article
Green & Sustainable Science & Technology
Vladislav Daniliuk, Yuanming Xu, Ruobing Liu, Tianpeng He, Xi Wang
Article
Engineering, Aerospace
Yuanming Xu, Hao Chen, Xi Wang
Review
Electrochemistry
Yikun Cai, Yuanming Xu, Yu Zhao, Xiaobing Ma
Article
Engineering, Chemical
Yikun Cai, Yuanming Xu, Yu Zhao, Kun Zhou, Xiaobing Ma
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2020)
Article
Green & Sustainable Science & Technology
Yibing Wang, Yuanming Xu, Fei Su
Article
Engineering, Multidisciplinary
A. M. El-Ashmawy, Yuanming Xu
APPLIED MATHEMATICAL MODELLING
(2020)
Article
Materials Science, Multidisciplinary
A. M. El-Ashmawy, Yuanming Xu
Summary: This research focused on the impact of CNT orientation and gradation on Functionally Graded CNT-Reinforced Composite beams. It proposed an efficient finite beam element, utilizing SWCNT as primary reinforcement graded through thickness and conducting extensive parametric studies for model convergence. The findings highlighted the significant effects of orientation angle and power-law exponent on structural response, providing a practical approach for structure tailoring.
MATERIALS RESEARCH EXPRESS
(2021)
Article
Optics
Quanfeng Xiao, Yuanming Xu, Xinling Liu, Rujian Sun
Summary: Femtosecond laser drilling was used to drill film cooling holes with different apertures on a [001]-oriented Ni-based single crystal superalloy. The anisotropic high-temperature creep behavior of the superalloy was investigated and a creep constitutive model was constructed based on crystal plasticity theory and finite element simulation. The drilling direction significantly affected the stress distribution and deformation mechanism, with drilling along [1 0 root 3] resulting in longer creep lifetime and enhanced creep resistance.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
