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Research on the Piston Dynamics and Energy Distribution Characteristics of a Free-piston Stirling Generator: Numerical Model and Experimental Results

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Results in engineering 2025年

作者： Chendong Guo Zehao Wang Liang Tong Huihua Feng College of Electrical and Mechanical Engineering Beijing Information Science and Technology University 100192 China School of Mechanical Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing 100192 China

The Free-piston Stirling generator (FPSG) is an advanced energy-conversion device known for its high thermal efficiency and compatibility with various heat sources. Understanding the piston dynamics and energy distribution characteristics in FPSGs is essential for improving their efficiency and output performance. Moreover, developing an accurate numerical model is crucial for precisely analysing the piston dynamics and energy distribution characteristics in FPSGs. Therefore, this study proposes a comprehensive numerical model integrating nonlinear dynamics, electromagnetism, and thermodynamics to investigate the piston dynamics and energy distribution characteristics in the FPSG. The simulation results showed good agreement with experimental data, with a maximum deviation of only 5.3%. At a temperature difference of 500 K and an initial charge pressure of 3.5 MPa, heat loss accounted for 37.6%, mechanical loss for 20.8%, hysteresis loss for 3.0%, leakage loss for 7.3%, and generator loss for 3.6%. When the hot-end temperature increased from 764 K to 864 K, the overall efficiency of the FPSG increased from 24.5% to 34.3%. In contrast, the overall efficiency decreased from 30.1% to 26.4% as the initial charge pressure increased from 2.5 MPa to 4.5 MPa. Additionally, a higher damping coefficient of the power piston led to reduced overall efficiency.

关键词： Free-piston Stirling generator Piston dynamics Energy distribution characteristics Numerical model Experimental results

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Fish Trajectory Extraction Based on Object Detection

Fish Trajectory Extraction Based on Object Detection

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Chinese control Conference (CCC)

作者： Xinghui Li Meiqin Liu Senlin Zhang Ronghao Zheng State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China College of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

Extracting fish trajectories from underwater videos is an important way to analyze fish behavior and can provide guidance for aquaculture. Most of the existing researches are based on traditional image processing algorithms and CamShift tracking algorithm. In recent years, convolutional neural networks have performed better than traditional image processing algorithms in many computer vision tasks. This paper proposes a fish trajectory extraction method based on object detection. First, the deep learning object detection model Faster RCNN is used to predict fish for all video frames. Then based on the criteria of IoU, center distance and probability similarity, a greedy algorithm or Hungarian algorithm is used to correlate the prediction results. Finally, improvements are done from two aspects of linking and deleting. Experiments show that this method can well complete the task of fish trajectory extraction, and the AP performance is increased from 74.75% to 80.94%.

关键词： Fish Trajectory Videos Object detection Correlation Predictive models Feature extraction

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Perchlorate Removal by a Combined Heterotrophic and Bio-Electrochemical Hydrogen Autotrophic System

SSRN

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SSRN 2022年

作者： Qu, Dan Zhang, Junhui Wan, Dongjin Niu, Zhenhua Beijing Key Laboratory for Source Control Technology of Water Pollution Beijing Forestry University 35 Qinghua East Road Haidian District Beijing100083 China College of Environmental Science and Engineering Beijing Forestry University 35 Qinghua East Road Haidian District Beijing100083 China Collage of Environmental Engineering Henan University of Technology Zhengzhou450001 China

Here, a novel combined heterotrophic and bio-electrochemical hydrogen autotrophic (CHBHA) system was developed to remove perchlorate under low chemical dosages and energy consumption. The perchlorate removal performance at various hydraulic retention times (HRTs) and acetate dosages was investigated. For influent containing 10±0.10 mg/L perchlorate, the removal efficiency by the CHBHA system was 98.96±1.62%, 92.99±2.99%, 97.85±0.41%, and 98.24±1.56% at different operating stages. Perchlorate was mainly removed in the heterotrophic part (H-part) at a sufficient HRT (6 h) and acetate dosage (14.75 mg/L). At other stages, perchlorate was synergistically removed by the H-part and electrochemical hydrogen autotrophic part (E-part). Since the H-part removed some perchlorate, the E-part's applied current decreased, thus reducing energy costs. The maximum current efficiency of the CHBHA system was 22.09%. Compared with the single E-part system, the combined system used 65% less energy. Perchlorate was converted into active chlorine in the E-part, which improved the effluent quality. The bacterial community structures of the two parts were different. Comamonas , Dechloromonas, Acinetobacter, and Chryseobacterium were enriched in the H-part, and the dominant genera in the E-part were Thauera , Azonexus , Hydrogenophaga, and Tissierella . © 2022, The Authors. All rights reserved.

关键词： Reduction

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Design and Implementation Remote Monitoring System for Paving Machine Based on IoT

Design and Implementation Remote Monitoring System for Pavin...

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International Conference on Information Management (ICIM)

作者： Liang Zhao Guangwen Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (数字)9781728157702

ISBN: (纸本)9781728157719

In order to collect, process, visualize and upload the data on the repaving machine assembly in real-time, we develop a repaving machine assembly remote monitoring system in this paper. While adopting PLC as the core of control, the proposed system consists of the ZigBee module, GPRS module, GPS module and the cloud-based monitoring configuration software. The ZigBee module is mainly responsible for wireless communication between PLC. The GPS module is designed to collect longitudinal and latitudinal data for the purpose of offering support to real-time monitoring of the location of the repaving machine assembly. The GPRS module is responsible for monitoring the repaving machine assembly remotely by uploading the data about the assembly as well as longitudinal and latitudinal data to cloud server. Results demonstrate the ability of the proposed system to collect and transmit the data accurately and remotely in real-time.

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Can karst aquifer for public supply threatened by lead smelting be sustainably managed? Part II: Evidence from groundwater modeling

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Water Research 2025年

作者： Bei-Yi Xu Run-Zhi Xie Wu-Tian Cai Yan Zheng College of Transportation Engineering Nanjing Tech University Nanjing Jiangsu 211816 China Center for Hydrogeology and Environmental Geology Survey China Geological Survey Baoding 071051 Hebei China State Key Laboratory of Soil Pollution Control and Safety Southern University of Science and Technology Shenzhen Guangdong 518055 China Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control Southern University of Science and Technology Shenzhen Guangdong 518055 China

This study investigates the possibility to sustainably manage two public supply well clusters situated perilously close to one of Asia’s largest lead (Pb) smelters, a site that has approximately 10 km 2 of overlying soil contaminated by multiple toxins including Pb (>500 mg/kg). One cluster of wells tap into a deep buried karst aquifer (n=15 wells, 163–296 m depth) while the other into a shallower Quaternary gravel and sand aquifer (n=4 wells, 100–150 m depth). Because both aquifer types are highly vulnerable for contamination, this study seeks to develop tools that can guide how to ensure long-term water security and safety against this high-risk backdrop. First, a regional groundwater flow model with simplified contaminant transport processes simulated by particle tracking is constructed. The models are used to estimate the risk of contamination ( R ) for a given duration of pumping by supply wells and the minimum amount of time for the pollutant particles to reach the supply wells ( T m i n ). These two risk factors are then combined to arrive at a sustainability index ( SI ), estimated after setting an acceptable level of R of 1% for 100 years of pumping by supply wells and T m i n of 5 years. To be sustainable ( SI >0) means that both risk factors must be within the acceptable levels, which demands a roughly halving the current pumping rates of these public supply wells, to 3 × 10 4 m 3 /d for the buried karst and 0.5 × 10 4 m 3 /d for the Quaternary aquifers, respectively, in order to supply water for 100 years. A key factor in the surprisingly “good” sustainability is that a deep buried karst aquifer (depth: 230–500 m) located in the higher elevation area to the north is channeling water upward due to the fortuitous presence of a major fault zone FMK that acts as a “hydraulic barrier” to delay the arrival of surface soil sourced pollutants. However, the response of this buffering effect to increasing pumping rates by the supply wells is non-linear, resulting

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Quantum Advantage of One-Way Squeezing in Enhancing Weak-Force Sensing

arXiv

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arXiv 2024年

作者： Wang, Jie Zhang, Qian Jiao, Ya-Feng Zhang, Sheng-Dian Lu, Tian-Xiang Li, Zhipeng Qiu, Cheng-Wei Jing, Hui Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Academy for Quantum Science and Technology Zhengzhou University of Light Industry Zhengzhou450002 China College of Physics and Electronic Information Gannan Normal University Jiangxi Ganzhou341000 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Cavity optomechanical (COM) sensors, featuring efficient light-motion couplings, have been widely used for ultrasensitive measurements of various physical quantities ranging from displacements to accelerations or weak forces. Previous works, however, have mainly focused on reciprocal COM systems. Here, we propose how to further improve the performance of quantum COM sensors by breaking reciprocal symmetry in purely quantum regime. Specifically, we consider a spinning COM resonator and show that by selectively driving it in opposite directions, highly nonreciprocal optical squeezing can emerge, which in turn provides an efficient way to surpass the standard quantum limit that otherwise exists in conventional reciprocal devices. Our work confirms that breaking reciprocal symmetry, already achieved in diverse systems well beyond spinning systems, can serve as a new strategy to further enhance the abilities of advanced quantum sensors, for applications ranging from testing fundamental physical laws to practical quantum metrology. Copyright © 2024, The Authors. All rights reserved.

关键词： Well testing

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Efficient Solar-Driven Interfacial Water Evaporation Over Novel Fe-Metal Organic Frameworks Decorated Wood

SSRN

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SSRN 2023年

作者： Jing, Shengyu Ji, Qiushi Wang, Anhu Zhao, Jingbo Liang, Huagen Chen, Fu Kannan, Palanisamy Tsiakaras, Panagiotis SchoolofInformationandControlEngineering ChinaUniversityofMiningandTechnology Xuzhou221116 China Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization Carbon Neutrality Institute China University of Mining and Technology Xuzhou221008 China School of Materials Science and Physics China University of Mining and Technology Xuzhou221008 China School of Public Administration Hohai University Nanjing210098 China College of Biological Chemical Sciences and Engineering Jiaxing University Jiaxing314001 China Laboratory of Alternative Energy Conversion Systems Department of Mechanical Engineering School of Engineering University of Thessaly Pedion Areos 38334 Greece

The use of biomaterials as photothermal substrates as well as their modification for solar interface water evaporation, self-desalination and water pollutant removal is currently considered a highly cost-effective strategy. Herein, we introduce an evaporator based on typical biomaterial (wood), which obtained through delignification, followed by freeze-drying treatment, then surface carbonization, and finally metal organic frameworks (MOFs) material loading, for effective solar-interfacial evaporation. The outstanding feature of the developed evaporator is that it exhibits excellent ultraviolet to near-infrared light absorbing capacity and high heat conversion efficiency, which can realize the rapid increase of the evaporator’s surface temperature within 10 min. On other hand, the high hydrophilicity of the evaporator ensures rapid water transportation. Therefore, the evaporation rate of Fe-MOF decorated wood reaches a value up to 1.81 kg m-2 h-1 and exhibits an evaporation efficiency of 89% under 1 Sun-illumination. In the self-desalination capacity test, the composite evaporator owing 4 cm2 surface area achieved an efficient removal of 1 g of NaCl in 1 hour. In the simulated sewage purification experiment, the purification rate of tetracycline, methyl orange, and rhodamine B solutions reaches 93.2%, 100%, and 99.3%, respectively, indicating that the developed evaporator can be considered as potential candidate for environmental safety applications. © 2023, The Authors. All rights reserved.

关键词： Evaporation

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Defect Detection with Generative Adversarial Networks for Electroluminescence Images of Solar Cells

Defect Detection with Generative Adversarial Networks for El...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Chunhui Shou Ling Hong Waner Ding Qu Shen Wenhao Zhou Yu Jiang Chunhui Zhao Zhejiang Provincial Key Laboratory of Solar Energy Utilization & Energy Saving Technology Zhejiang Energy Group R&D Hangzhou China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9781728176840

ISBN: (纸本)9781728176857

Solar cells are the core module of photovoltaic (PV) modules. Defects will decrease the power efficiency of solar cells and reduce the stability of PV power systems. Electroluminescence (EL) imaging is able to image solar modules with higher resolution so that defects can be better detected. The current manual detection of EL images is slow and requires relevant expertise, so methods based on computer vision for automatic detection in EL images are appearing. However, due to the heterogeneously background of the EL images and the lack of defect samples, automatic detection of defects has been a challenging task. We design a model based on generative adversarial networks (GAN) and auto-encoder (AE) to perform defect detection for EL images of solar cells. It only requires normal images in the training process and detect defects by measuring the residuals between the test image and the constructed image generated by the generator. To reduce the effects of image distortion, we combine structural similarity index (SSIM) with feature residuals to train the encoder, which can get better results than the model using typical mean square error (MSE). During the detection phase, SSIM and MSE are combined as the anomaly score. Our method has higher recognition of defective EL images and achieves detection accuracy of 90.0% on the test set. Compared with the method using only MSE, the F1 score is increased obviously.

关键词： Training Photovoltaic cells Power system stability Generative adversarial networks Distortion Generators Electroluminescence

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Tumor-homing peptide-based NIR-II probes for targeted spontaneous breast tumor imaging

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Chinese Chemical Letters 2020年第6期31卷 1382-1386,F0002页

作者： Hui Zhou Shanshan Li Xiaodong Zeng Mengxian Zhang Lin Tang Qianqian Li Deliang Chen Xianli Meng Xuechuan Hong Innovative Institute of Chinese Medicine and Pharmacy Chengdu University of Traditional Chinese Medicine.Chengdu 611137China Key Laboratory of Combinatorial Biosynthesis and Drug Discovery(MOE) Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals.Shenzhen Institute of Wuhan UniversityShenzhen 518057China College of Science Innovation Center for Traditional Tibetan Medicine Modernization and Quality ControlMedical CollegeTibet UniversityLasa 850000China Jiangxi Key Laboratory of Organo-Pharmaceutical Chemistry Chemistry and Chemical Engineering CollegeGannan Normal UniversityGanzhou 341000China

Fluorescence imaging in the second near-infrared window(NIR-Ⅱ,1000-1700 nm)is a promising modality for real-time imaging of cancer and image-guided surgery with superior in vivo optical *** far,very few NIR-Ⅱfluorophores have been reported for in vivo biomedical imaging of chemically-induced spontaneous breast ***,a NIR-Ⅱfluorescent probe CH1055-F3 with the nucleolin-targeted tumor-homing peptide F3 was demonstrated to prefe rentially accumulate in 4 T1 *** importantly,CH1055-F3 exhibited specific NIR-Ⅱsignals with high spatial and temporal resolution,strong tumor uptake,and remarkable NIR-Ⅱimage-guided surgery in dimethylbenzanthracene(DMBA)-induced spontaneous breast tumor *** report presents the first tumor-homing peptide-based NIR-Ⅱprobe to diagnose transplantable and spontaneous breast tumors by the active targeting.

关键词： NIR-Ⅱimaging F3 peptide Image-guided surgery Spontaneous breast carcinoma NIR-Ⅱprobes

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A review of nanotechnology in food industry with implication for viable outlook and safety issues

Hybrid Advances

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Hybrid Advances 2025年 10卷

作者： Ahmad, Khurshid Ahmad, Rasheed Faizan, Muhammad Farah Ali, Farhad Yousaf, Malik Muhammad Ali, Faraz Niaz, Waqas Khan, Tehsin Ullah Khan, Sajad Ali, Sajjad Ahmed, Ishfaq Hassan, Hamza State Key Laboratory of Marine Food Processing & Safety Control College of Food Science and Engineering Ocean University of China No.1299 Sansha Road Qingdao Shandong Province 266404 China School of Light Industry and Chemical Engineering Dalian Polytechnic University Dalian 116034 China Department of Biological Sciences International Islamic University Islamabad 44000 Pakistan Collage of Fisheries Ocean University of China Qingdao Shandong Province 266003 China Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education Ocean University of China Qingdao 266100 China College of Marine Life Sciences Ocean University of China Qingdao Shandong Province 266003 China Haide College Ocean University of China Laoshan Campus Shandong Province Qingdao 266100 China

The main goal of novel food packaging technologies beside maintaining food quality, product integrity, and consumer safety is to address environmental concerns. A promising approach to achieving this is the incorporation of eco-friendly nanomaterials in food packaging. Numerous studies have focused on enhancing nanomaterial-based food packaging properties to create optimal conditions for food preservation. This studies, focuses by the recent advancements in nanotechnology and its potential to overcome challenges in food packaging are briefly emphasized. This article summarizes the sources and functionality of food-related nanomaterials, categorizing them into organic and inorganic origins. The article also explores the potential benefits of using nanotechnology in food packaging, as well as the related safety concerns. Furthermore, the article highlights the recent advancement in nanotechnology for food industrial applications which is supported by a bibliometric analysis (2014–2024) using the PubMed database. Moreover, this study explores into the advancements and challenges of nano-scale materials in food packaging, emphasizing cutting-edge research and its transformative impact on the food industry. © 2025 The Authors

关键词： Bibliometric Food industry Food packaging Food safety Nanotechnology

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