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4th International Conference on Mechanical Design and Simulation, MDS 2024

作者： Huang, Dehai Duan, Jihang Yang, Jianzhong Chen, Jihong Xu, Guangda National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9789819778867

The feed system is an important part of the CNC machine tool, and its performance directly affects the machining quality. Establishing an accurate model is the key to achieving feed system servo performance optimization and error compensation. In this paper, a fusion modeling method is proposed for the problems of low accuracy and difficulty in identifying stiffness and damping in the traditional lumped mass modeling method. The proposed method first establishes a rigid model without stiffness and damping, then uses a data-driven model to model the unmodeled dynamics, and finally connects the rigid model and the data-driven model in series. The method simplifies the lumped mass model, avoids the problem that the stiffness and damping are difficult to identify, and the fusion of the data-driven model significantly improves the prediction accuracy of the model. The experimental results show that the fused model has higher prediction accuracy for the frequency response characteristics and displacement of the feed system. © The Author(s) 2025.

关键词： Ball screws

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Collision-Free Algorithm for Industrial Robots Based GJK and OBB Theories

Collision-Free Algorithm for Industrial Robots Based GJK and...

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International Conference on SmartRail, Traffic, and Transportation engineering, ICSTTE 2023

作者： Aalhasan, Ali Joodi Bao, Song National Engineering Research Center of Numerical Control System Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789819736812

This paper proposes a better way for industrial robots to avoid collisions while manipulating objects. The method uses the Oriented Bounding Boxes (OBB) theory. OBB is effective because it can work with objects turned in any direction, which makes it very exact. To detect if two OBBs are colliding, the algorithm adopted double-check collision detection to achieve a collision-free workspace. First, Threshold distance collision detection by calculating the nearest line between an object’s corners. Then by the Gilbert-Johnson-Keerthi (GJK) algorithm. The algorithm uses Z-Y-Z Euler's angles to handle orientation between robot grippers and objects during paths. This updated algorithm will make industrial robots safer and more efficient when handling objects. We have adopted Coppellia Simulation software to verify the accuracy of the algorithm with different scenarios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Industrial robots

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Nanosize-effect on the distribution of heavy metals in copper smelting dust:Based on sophisticated dust sorting approach

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Nano research 2024年第1期17卷 312-320页

作者： Ken Li Zuwu Liao Hengdi Ye Qingzhu Li Fenghua Shen Qian Li Hui Liu Qingwei Wang Xu Yan Zhang Lin Liyuan Chai School of Metallurgy and Environment Central South UniversityChangsha 410083China Chinese National Engineering Research Center for Control&Treatment of Heavy Metal Pollution Changsha 410083China National Engineering Research Center of Sintering and Pelletizing Equipment System Zhongye Changtian International Engineering Co.LtdChangsha 410205China

Dust particles emitted from smelters can be hazardous to ecosystems and humans,as they are often enriched in metallic ***,we combined multi-method mineralogical analysis with a sophisticated size sorting approach for copper smelting dust to study the nanosize-effect on heavy metal distribution,which has hitherto been *** types of dust were collected from a copper flash smelter and then size-sorted using a Dekati low-pressure *** showed that all three samples could easily sort out nanoscale dust particles(<1μm,grades 10–2)and even those smaller than 100 nm(grades 5–2).Especially for electrostatic precipitators dust,the mass fraction of nanoscale dust(<1μm)could reach 10.71%.The presence of heavy metals(Pb,Zn,Cu,and As)and their mineral species in dust was examined at various particle *** was discovered that different heavy metals are enriched on nanoparticles in specific *** micron-sized particles,heavy metals are generally found in discrete phases(e.g.,CuSO_(4),PbSO_(4),and As_(2)O_(3)).In nanoscale particles,the dominant phase is Fe_(3)O_(4),while heavy metals are mostly found in lattice substitution(e.g.,CuFe_(2)O_(4)and ZnFe_(2)O_(4)).Two distinct nano-dust morphologies were found:One with irregular mesh or chain structures consisting of particles of a few nanometers,and the other with polygonal crystals in larger sizes of hundreds of *** enrichment of heavy metals in the latter morphology is more pronounced,possibly because lattice substitution of heavy metals is more likely to occur when polycrystalline particles are formed.

关键词： copper flue dust size-sorted heavy metal distribution morphology nano-sized effects

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Photoelectrocatalytic hydrogen evolution and synchronous degradation of organic pollutants by pg-C_(3)N_(4)/β-FeOOH S-scheme heterojunction

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Science China(Technological Sciences) 2024年第4期67卷 1238-1252页

作者： LI XiBao HAN Tao ZHOU YingTang XIE Yu LUO YiDan HUANG JunTong CHEN Zhi DENG Fang School of Materials Science and Engineering Nanchang Hangkong UniversityNanchang 330063China National-Local Joint Engineering Research Center of Heavy Metal Pollutants Control and Resource Utilization Nanchang Hangkong UniversityNanchang 330063China Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control National Engineering Research Center for Marine AquacultureMarine Science and Technology CollegeZhejiang Ocean UniversityZhoushan 316022China

Crafting photoelectrocatalytic materials with robust oxidation-reduction properties for simultaneous hydrogen evolution and pollutant degradation poses a formidable *** this study,a pg-C_(3)N_(4)/β-FeOOH S-scheme heterostructure with a special energy band structure was developed by anchoring porous pg-C_(3)N_(4)on needle shapedβ-*** as a hole extraction layer,needle-leaf-likeβ-FeOOH can facilitate efficient hole migration and enhance charge ***,the optimized 0.2-pg-C_(3)N_(4)/β-FeOOH could degrade 78%of ofloxacin(OFLO)in 90 *** organic pollutants could absorb a large number of holes,which prompted a greater proportion of photogenerated electrons to actively participate in the hydrogen evolution reaction at the ***,the hydrogen production of 0.2-pg-C_(3)N_(4)/β-FeOOH reached 1452.88μmol cm^(-2)h^(-1),exhibiting a notable increase of 61.81-165.12μmol cm^(-2)h^(-1)compared with that in the absence of *** and theoretical calculation results underscore that this investigation is grounded in a distinctive electron and hole dual channel transfer *** findings offer novel insights for the future development of S-scheme heterojunction photoelectrocatalytic materials capable of concurrently degrading pollutants and promoting hydrogen evolution.

关键词： photoelectrocatalysis hydrogen evolution degradation synchronous S-scheme heterojunction

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Key Technologies for Machine Vision for Picking Robots:Review and Benchmarking

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Machine Intelligence research 2025年第1期22卷 2-16页

作者： Xu Xiao Yiming Jiang Yaonan Wang College of Electrical and Information Engineering Hunan UniversityChangsha 410082China National Engineering Research Center for Robot Vision Perception and Control Technology Hunan UniversityChangsha 410082China

The increase in precision agriculture has promoted the development of picking robot technology,and the visual recognition system at its core is crucial for improving the level of agricultural *** paper reviews the progress of visual recognition tech-nology for picking robots,including image capture technology,target detection algorithms,spatial positioning strategies and scene *** article begins with a description of the basic structure and function of the vision system of the picking robot and em-phasizes the importance of achieving high-efficiency and high-accuracy recognition in the natural agricultural ***-sequently,various image processing techniques and vision algorithms,including color image analysis,three-dimensional depth percep-tion,and automatic object recognition technology that integrates machine learning and deep learning algorithms,were *** the same time,the paper also highlights the challenges of existing technologies in dynamic lighting,occlusion problems,fruit maturity di-versity,and real-time processing *** paper further discusses multisensor information fusion technology and discusses methods for combining visual recognition with a robot control system to improve the accuracy and working rate of *** the same time,this paper also introduces innovative research,such as the application of convolutional neural networks(CNNs)for accurate fruit detection and the development of event-based vision systems to improve the response speed of the *** the end of this paper,the future development of visual recognition technology for picking robots is predicted,and new research trends are proposed,including the refinement of algorithms,hardware innovation,and the adaptability of technology to different agricultural *** purpose of this paper is to provide a comprehensive analysis of visual recognition technology for researchers and practitioners in the field of agricul-tural rob

关键词： Picking robot visual system perception technology image processing machine learning deep learning.

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Adaptive Sensor Fault Tolerant control for Hybrid Systems with Unpredicted Switching Signals 11

Adaptive Sensor Fault Tolerant Control for Hybrid Systems wi...

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11th IEEE International Conference on Systems and control, ICSC 2023

作者： Salwa, Yahia Saida, Bedoui Kamel, Abderrahim National Engineering School of Gabes University of Gabes Research Laboratory Numerical Control of Industrial Processes Tunisia

ISBN: (纸本)9798350304886

This paper proposes a strategy to sensor fault compensation in hybrid systems, addressing the challenge of unknown switching signals. Our proposed method employs additive control techniques while estimating switching modes off-line using the Chiu clustering algorithm. By integrating data from multiple sensors and dynamically adapting control inputs, our approach effectively manages sensor faults. The Chiu clustering algorithm provides an efficient means of estimating switching modes, enhancing fault tolerance. This paper outlines the theoretical foundations of our approach, including additive control design and the off-line estimation process. Simulation results illustrate the effectiveness of our method, offering a promising solution to sensor fault tolerance in hybrid systems with unknown switching signals, further improved by the Chiu clustering algorithm. © 2023 IEEE.

关键词： Clustering algorithms

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Effective corrosion protection of magnetic microwave absorber with designed macromolecular network barrier

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Rare Metals 2023年第2期42卷 558-571页

作者： Qing-Qing Hu Liang Chai Ke Liang Yan-Xin Jiang Guang Yang Lin-Bo Zhang Liang-Jun Yin Xin Wang Tao Liu Hai-Peng Lu Long-Jiang Deng School of Electronic Science and Engineering and National Engineering Research Center of Electromagnetic Radiation Control Materials University of Electronic Science and Technology of ChinaChengdu611731China

Carbonyl iron(CI)particles as magnetic microwave absorption material often suffer from serious corrosion under corrosive environment which leads to performance *** this study,fluorin-containing acrylate type polymer network layers with thickness ranging from tens of nanometers to around one hundred nanometers were formed continuously around *** crosslinked coating layer(named FT)effectively increases CI’s thermal decomposition temperature by at least 34%.The FT-coated CI(named CI-FT)was able to resist both inorganic and organic corrosive media attacking efficiently compared with bare *** surface polymer network could also help CI withstand organic medium dissolution which proved the firmness of *** voltammetry(CV)test revealed that the coating layer could significantly reduce maximum oxidation current density of CI by more than 45 *** polarization study during CV tests also confirmed that thicker FT coating layer could help CI sample stabilize corrosion current ***,the surface coating also enhanced the impedance matching properties of CI as microwave absorber and the CI-FT samples demonstrated improved microwave absorption properties which degenerated little after corrosive medium soaking compared with that of CI.

关键词： Carbonyl iron(CI) Corrosion protection Microwave absorption Fluorin-containing acrylate Cyclic voltammetry Corrosion process

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The Investigation of Data Voting Algorithm for Train Air-Braking System Based on Multi-Classification SVM and ANFIS

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Chinese Journal of Electronics 2024年第1期33卷 274-281页

作者： Juhan WANG Ying GAO Yuan CAO Tao TANG School of Electronics and Information Engineering Beijing Jiaotong University Graduate Department China Academy of Railway Science National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University

The pressure data of the train air braking system is of great significance to accurately evaluate its operation state. In order to overcome the influence of sensor fault on the pressure data of train air braking system, it is necessary to design a set of sensor fault-tolerant voting mechanism to ensure that in the case of a pressure sensor fault, the system can accurately identify and locate the position of the faulty sensor, and estimate the fault data according to other normal data. A fault-tolerant mechanism based on multi-classification support vector machine(SVM) and adaptive network-based fuzzy inference system(ANFIS) is introduced. Multi-classification SVM is used to identify and locate the system fault state, and ANFIS is used to estimate the real data of the fault sensor. After estimation, the system will compare the real data of the fault sensor with the ANFIS estimated data. If it is similar,the system will recognize that there is a false alarm and record it. Then the paper tests the whole mechanism based on the real data. The test shows that the system can identify the fault samples and reduce the occurrence of false alarms.

关键词： Multi-classification support vector machine Adaptive network-based fuzzy inference system Train air braking system Fault-tolerant voting Multi-sensors

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Smoke and NO_(x)emission characteristics of in-use construction machinery base on substantial field measurement:A case study in Beijing,China

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Journal of Environmental Sciences 2025年第3期149卷 386-393页

作者： Huawei Yi Yangyang Cui Lijun Zhu Yan Shen Han Li Guanghan Huang Linzhen Qu Dongdong Guo Lei Nie Yifeng Xue National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Eco-Environmental ProtectionBeijing 100037China Beijing Vehicle Emission Management Affairs Centre Beijing 100176China

To understand the smoke level and NO_(x)emission characteristics of in-use construction machinery in Beijing,we selected 905 construction machines in Beijing from August 2022 to April 2023 to monitor the emission level of smoke and NO_(x).The exhaust smoke level and excessive emission situation of different machinery types were identified,and their NO_(x)emission levels were monitored according to the free acceleration *** investigated the correlation of NO_(x)and smoke emission,and proposed suggestions for controlling pollution discharge from construction machinery in the *** results show that the exhaust smoke level was 0–2.62 m^(−1),followed a log-normal distribution(μ=-1.73,δ=1.09,R^(2)=0.99),with a 5.64%exceedance *** observed amongmachinery types,with low-power engine forklifts showing higher smoke *** NO_(x)emission range was 71–1516 ppm,followed a normal distribution(μ=565.54,δ=309.51,R^(2)=0.83).Differences among machinery types were relatively *** rated net power had the most significant impact on NO_(x)***,NO_(x)emissions from construction machinery need further ***,we found a weak negative correlation(p<0.05)between the emission level of smoke and NO_(x),that is the synergic emission reduction effect is poor,emphasizing the need for NO_(x)emission *** the future,the oversight in Beijing should prioritize phasing out ChinaⅠand ChinaⅡmachinery,and monitor emissions from highpower engine ChinaⅢmachinery.

关键词： Fuel-oil construction machinery Smoke NO_(x) Emission level Regulatory suggestion

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Vacuum ammonia stripping from liquid digestate:Effects of pH,alkalinity,temperature,negative pressure and process optimization

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Journal of Environmental Sciences 2025年第3期149卷 638-650页

作者： Qiuhong Chen Donghai Yang Xiang Chen Xiankai Wang Bin Dong Xiaohu Dai State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China YANGTZE Eco-Environment Engineering Research Center National Engineering Research Center of Eco-environment Protection for Yangtze River Economic BeltChina Three Gorges CorporationWuhan 430010China

High ammonia-nitrogen digestate has become a key bottleneck limiting the anaerobic digestion of organic solid *** ammonia stripping can simultaneously remove and recover ammonia nitrogen,which has attracted a lot of attention in recent *** investigate the parameter effects on the efficiency and mass transfer,five combination conditions(53℃ 15 kPa,60°C 20 kPa,65°C 25 kPa,72°C 35 kPa,and 81°C 50 kPa)were conducted for ammonia stripping of sludge *** results showed that 80%of ammonia nitrogen was stripped in 45 min for all experimental groups,but the ammonia transfer coefficient varied under different conditions,which increased with the rising of boiling point temperature,and reached the maximum value(39.0 mm/hr)at 81°C 50 *** ammonia nitrogen removal efficiency was more than 80%for 30 min vacuum stripping after adjusting the initial pH to above 9.5,and adjustment of the initial alkalinity also affects the pH value of liquid *** was found that pH and alkalinity are the key factors influencing the ammonia nitrogen dissociation and removal efficiency,while temperature and vacuum mainly affect the ammonia nitrogen mass transfer and removal *** terms of the mechanism of vacuum ammonia stripping,it underwent alkalinity destruction,pH enhancement,ammonia nitrogen dissociation,and free ammonia *** this study,two-stage experiments of alkalinity destruction and ammonia removal were also carried out,which showed that the two-stage configuration was beneficial for ammonia *** provides a theoretical basis and practical technology for the vacuum ammonia stripping from liquid digestate of organic solid waste.

关键词： Liquid digestate Vacuum ammonia stripping Alkalinity Mass transfer Process optimization

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