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第三十九届中国控制会议

作者： Zhe-Hua Sun Ke-Xian Liu Xue-Han Xu Qing-Hao Meng Institute of Robotics and Autonomous Systems Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University

The evaluation of the odor emitted by the interior materials is of great significance to the air quality control in the vehicle. This paper focuses on the multi-label classification problem of the odor type(i.e. the type of material from which the odor is released) and the grade evaluation in the vehicle. Two multi-label classifiers based on binary relevance(BR) and classification chain(CC) were designed to distinguish odor types and grades simultaneously and to distinguish odor types first and then grades, respectively. Based on the self-designed portable E-nose, six grades of odors released from six types of common interior materials were detected and classified. Experimental results showed that both the multi-label classifiers achieved better recognition accuracy, but the CC had an average recognition rate of 88.17% slightly better than the BR. It is preliminarily verified that the portable E-nose based multi-label classifiers could be used to evaluate the odor of automotive interior materials.

关键词： E-nose vehicle interior materials multi-label classifier Odor evaluation

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Base-Acid Relay Catalytic Upgrading of Coal Pyrolysis Volatiles Over Cao and Hzsm-5 Catalysts

SSRN

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SSRN 2022年

作者： Yang, Hang Zhang, Jiehan Chen, Zhaohui Wan, Lifeng Li, Changming Zhang, Xinyu Li, Jianling Tian, Ruoxuan Yu, Jian Gao, Shiqiu State Key Laboratory of Multi-phase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China School of Chemical Engineering University of Chinese Academy of Sciences Beijing100049 China State Environmental Protection Key Laboratory of Food Chain Pollution Control School of Ecology and Environment Beijing Technology and Business University Beijing100048 China China Huanqiu Contracting & Engineering Co. Ltd Beijing100012 China

The relay catalytic upgrading of coal pyrolysis volatiles employing different layouts of basic CaO and acidic HZSM-5 zeolite was proposed to improve the tar quality as well as alleviate catalyst deactivation. The synergistic effect is found in relay catalytic upgrading of coal pyrolysis volatiles over dual CaO and HZSM-5 catalysts system. The relay CaO-HZSM-5 layout is better compared to layouts of relay HZSM-5-CaO, mixed CaO/HZSM-5, and their independent employments. The relay CaO-HZSM-5 layout ensures the highest light fraction in tar with 70.1% and the minimized carbon deposition over HZSM-5 while remaining a relatively high tar yield (7.8 wt.%). Meanwhile, the contents of aromatics and phenols in tar increase by 221% and 164% compared with the blank test (without catalyst), respectively. In this scenario, CaO promotes the cracking of large molecules in tar to form more olefins and small molecules firstly, which subsequently diffuses into micropores of HZSM-5 zeolite to produce more aromatics by dehydrocyclization. In addition, the roles of pre-cracking and pre-deoxidation of volatiles over CaO reduce the possibility of the polycondensation reactions of large molecules over acidity sites of HZSM-5 zeolite, thus lowering the carbon deposition over zeolite. These findings suggest that the base-acid relay catalytic upgrading of volatiles during coal pyrolysis will be a promising strategy to increase the tar quality and slow down catalyst deactivation. © 2022, The Authors. All rights reserved.

关键词： Catalyst deactivation

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Lithium Extraction from High Magnesium Salt Lake Brine with an Integrated Membrane Technology

SSRN

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SSRN 2022年

作者： Ashraf, Muhammad Awais Usman, Muhammad Hussain, Iftikhar Ahmad, Faraz Guo, Shiwei Zhang, Lu State Key Laboratory of Multiphase Complex Systems CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 PR China University of Chinese Academy of Sciences Beijing100049 China Washington State University United States Department of Mechanical Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong Key Laboratory of Coal Science and Technology Taiyuan University of Technology Taiyuan030024 China North China Electric Power University Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering Baoding071000 China Faculty of Economics and Business

Lithium extraction is a great challenge from the high magnesium content salt solution. In this work, an integrated polyamide tight ultrafiltration (UF) and nanofiltration (NF) membranes are systematically investigated to separate Li+ from a high magnesium salt solution. Tight ultrafiltration UA001 and nanofiltration NF270 membranes in the integrated-cascade system not only increased Li+ permeation to 82.5% but also enhanced the high Mg2+ retention to 94.6% from the ternary salt solution of LiCl and MgCl2. The transport model was also developed to calculate the real retention of Li+ and Mg2+, under constant pressure mode. The separation efficiency SFLi/Mg for the ternary salt solution of LiCl+MgCl2+H2O was more than 15 at a constant pressure of 25 bars with an integrated membrane process, which was higher as compared to single-stage UF and NF270 membranes. Moreover, the high Mg2+/Li+ ratio was also reduced from 30 to 1.9 in the integrated-cascade membrane process. © 2022, The Authors. All rights reserved.

关键词： Magnesium compounds

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Heatmap-based vanishing point boosts lane detection

arXiv

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arXiv 2020年

作者： Liu, Yin-Bo Zeng, Ming Meng, Qing-Hao Institute of Robotics and Autonomous Systems Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University China

Vision-based lane detection (LD) is a key part of autonomous driving technology, and it is also a challenging problem. As one of the important constraints of scene composition, vanishing point (VP) may provide a useful clue for lane detection. In this paper, we proposed a new multi-task fusion network architecture for high-precision lane detection. Firstly, the ERFNet was used as the backbone to extract the hierarchical features of the road image. Then, the lanes were detected using image segmentation. Finally, combining the output of lane detection and the hierarchical features extracted by the backbone, the lane VP was predicted using heatmap regression. The proposed fusion strategy was tested using the public CULane dataset. The experimental results suggest that the lane detection accuracy of our method outperforms those of state-of-the-art (SOTA) *** Codes 68T45 (Primary) 68T07 (Secondary) Copyright © 2020, The Authors. All rights reserved.

关键词： Network architecture

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Anisotropy dependence of chip formation and plastic deformation in Fe-25Cr-20Ni austenitic stainless steel during micro-scratching

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Tribology International 2025年 210卷

作者： Lv, Beibei Chen, Qinglong Li, Yunjie Wang, Fangyuan Zhang, Yulong Han, Jie Jiang, Zhengyi Xia, Wenzhen Institute of Microstructure and Micro/Nanomechanics School of Metallurgical Engineering Anhui University of Technology Maanshan243032 China State Key Laboratory of Digital Steel Northeastern University Liaoning Shenyang110819 China State Key Laboratory of Powder Metallurgy Central South University Changsha410083 China Research Institute of SD Steel Shandong Iron and Steel Co. Ltd. Shandong Jinan271104 China School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong WollongongNSW2522 Australia Anhui Engineering Research Center of Low-carbon Metallurgy and Process Control Anhui University of Technology Ma'anshan243002 China State Key Laboratory for Turbulence and Complex Systems Peking University Beijing100087 China

The wear characteristics of the tribological pair and the mechanisms of material removal are significantly influenced by the plastic deformation of the contact surface during the tribological process of metallic materials. Chip formation is recognized as one of the primary mechanisms contributing to material loss during the wear process. However, the underlying mechanisms governing chip formation remain incompletely elucidated. This paper employs micro-scratch testing to investigate the wear behavior of the {001}, {101}, and {111} grains in austenitic stainless steel under varying scratch directions and applied loads. The transition from initial indentation contact to plowing and subsequent chip formation is systematically examined, revealing the influence of crystallographic orientation and scratch direction on chip formation mechanisms. Our results demonstrate that the chip formation and plastic deformation exhibit substantial dependence on crystallographic orientation and scratch direction, which are closely associated with the activation of specific slip systems within the grains. The depth profile within the worn track and the surface topography surrounding it have a major impact on the frictional response and chip formation process. A critical depth for chip formation is identified under specific loading conditions, below which chip formation is more likely to occur. This research provides valuable insights into the micro-scale tribological behavior of face-centered cubic metallic materials, offering a theoretical foundation for optimizing material properties, enhancing wear resistance, and prolonging service life in engineering applications. © 2025 Elsevier Ltd

关键词： Austenitic stainless steel

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Constrained Gaussian process Learning for Model Predictive control ⁎

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IFAC-PapersOnLine 2020年第2期53卷 971-976页

作者： Janine Matschek Andreas Himmel Kai Sundmacher Rolf Findeisen Laboratory for Systems Theory and Automatic Control Otto von Guericke University Magdeburg Germany Process Systems engineering Otto von Guericke University Magdeburg Germany Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany

Many control tasks can be formulated as tracking problems of a known or unknown reference signal. examples are motion compensation in collaborative robotics, the synchronisation of oscillations for power systems or the reference tracking of recipes in chemical process operation. Both the tracking performance and the stability of the closed-loop system depend strongly on two factors: Firstly, they depend on whether the future reference signal required for tracking is known, and secondly, whether the system can track the reference at all. This paper shows how to use machine learning, i.e. Gaussian processes, to learn a reference from (noisy) data while guaranteeing trackability of the modified desired reference predictions within the framework of model predictive control. Guarantees are provided by adjusting the hyperparameters via a constrained optimisation. Two specific scenarios, i.e. asymptotically constant and periodic REFERENCES, are discussed.

关键词： Gaussian processes trajectory tracking learning supported model predictive control

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Tip-and Laser-based 3D Nanofabrication in Extended Macroscopic Working Areas

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Nanomanufacturing and Metrology 2021年第3期4卷 132-148页

作者： Ingo Ortlepp Thomas Frohlich Roland FuBl Johann Reger Christoph Schaffel Stefan Sinzinger Steffen Strehle ReneTheska Lena Zentner Jens-Peter Zollner Ivo WRangelow Carsten Reinhardt Tino Hausotte Xinrui Cao Oliver Dannberg Florian Fern David Fischer Stephan Gorges Martin Hofmann Johannes Kirchner Andreas Meister Taras Sasiuk Ralf Schienbein Shraddha Supreeti Laura Mohr-Weidenfeller Christoph Weise Christoph Reuter Jaqueline Stauffenberg Eberhard Manske Institute of Process Measurement and Sensor Technology Technische Universitat IlmenauEhrenbergstrasse 2998693 IlmenauGermany Control Engineering Group Technische Universitat IlmenauIlmenauGermany Optical Engineering Group.Technische Universitat Ilmenau IlmenauGermany Microsystems Technology Group.Technische Universitat Ilmenau IlmenauGermany Precision Engineering Group.Technische Universitat Ilmenau IlmenauGermany Compliant Systems Group Technische Universitat IlmenauIlmenauGermany Micro-and Nanoelectronic Systems Group Technische Universitat IlmenauIlmenauGermany Nanoscale Systems Group.Technische Universitat Ilmenau IlmenauGermany Division for Research Service and Technology Transfer Technische Universitat IlmenauIlmenauGermany Electronics Technology Group.Technische Universitat Ilmenau IlmenauGermany IMMS Institut flir Mikroelektronik-und Mechatronik-Systeme Gemeinniitzige GmbH(IMMS GmbH) IlmenauGermany Fachgebiet Technische Physik City University of Applied SciencesBremenGermany Lehrstuhl fiir Fertigungsmesstechnik Friedrich-Alexander-U niversitat(FAU)Erlangen-NiirnbergGermany JUMO GmbH&Co.KG FuldaGermany Asphericon GmbH JenaGermany

The field of optical lithography is subject to intense research and has gained enormous ***,the effort necessary for creating structures at the size of 20 nm and below is considerable using conventional *** effort and the resulting financial requirements can only be tackled by few global companies and thus a paradigm change for the semiconductor industry is conceivable:custom design and solutions for specific applications will dominate future development(Fritze in:Panning EM,Liddle JA(eds)Novel patterning *** society for optics and ***,Bellingham,***://***/10.1117/12.2593229).For this reason,new aspects arise for future lithography,which is why enormous effort has been directed to the development of alternative fabrication ***,the technologies emerging from this process,which are promising for coping with the current resolution and accuracy challenges,are only demonstrated as a proof-of-concept on a lab scale of several square *** scale is not adequate for the requirements of modern lithography;therefore,there is the need for new and alternative cross-scale solutions to further advance the possibilities of unconventional *** challenges arise because of the technical progress in various other fields,realizing new and unique functionalities based on nanoscale effects,e.g.,in nanophotonics,quantum computing,energy harvesting,and life *** platforms for basic research in the field of scale-spanning nanomeasuring and nanofabrication are necessary for these tasks,which are available at the Technische Universitiit Ilmenau in the form of nanopositioning and nanomeasuring(NPM)*** this equipment,the limits of technical structurability are explored for high-performance tip-based and laser-based processes for enabling real 3D nanofabrication with the highest precision in an adequate working range of several thousand cubic millimete

关键词： Nanomeasuring Nanopositioning Nanomanufacturing Scale-spanning Tip-based Laser-based Nanofabrication

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A 3D-printed microfluidic device for fabricating the soft, hollow, double-network magnetic microrobots

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Microchemical Journal 2025年 215卷

作者： Jialin Wu Jie Wang Shanshan Xu Ruiping Zou Aibing Yu Minsu Liu Sheng Yan Institute for Advanced Study Shenzhen University Shenzhen 518060 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University Clayton Victoria 3800 Australia Centre for Simulation and Modelling of Particulate Systems Southeast University Suzhou 215000 China Research Center for Smart Process Engineering Great Bay University Dongguan 523000 China Monash Suzhou Research Institute (MSRI) Monash University Suzhou 215000 China

Endovascular intervention has transformed minimally invasive surgery but faces challenges in device stiffness, navigability, and safety. Existing magnetic soft robots, while promising, often risk incomplete retrieval or lack structural adaptability for controlled drug delivery. Here, we present a 3D-printed microfluidic strategy to fabricate a hollow magnetic soft robot (HMSR) with a double-network hydrogel structure (ionically crosslinked sodium alginate and photopolymerized PEG-diacrylate) and customized magnetic particle distribution. The HMSR exhibits ultralow stiffness (2–3 orders of magnitude lower than commercial guidewires), tunable mechanical properties via component concentration and UV exposure, and hollow architecture for drug loading. A magnetic navigation platform enables precise maneuvering through complex vascular models (achieving ± 135° bending angles) and multi-path selection, with full retrieval capability to mitigate embolism risks. Drug release kinetics demonstrate rapid initial release (30-min burst phase) followed by sustained release (60-min maintenance), ideal for thrombolytic or chemotherapeutic applications. This work advances magnetic soft robotics for safer endovascular therapies.

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A Novel E-Nose Chamber Design for VOCs Detection in Automobiles

A Novel E-Nose Chamber Design for VOCs Detection in Automobi...

引用

Chinese control Conference (CCC)

作者： Lu Cheng Yin-Bo Liu Qing-Hao Meng Institute of Robotics and Autonomous Systems Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

To detect parts per billion (ppb)-level volatile organic compounds (VOCs) in automobiles, a pre-concentrator is generally needed for electronic noses (e-noses), which can enrich ppb-level concentration to parts per million (ppm) level. However, the current e-nose chamber structure could dilute the pre-concentrated gases and then the detection performance is reduced. To solve this problem, a novel chamber design was proposed in this paper. The core design idea was to reduce the space for the gas flow in the chamber, taking into account the shape and size of the gas sensors. Specially, for the pin-type gas sensors, a series of cylindrical structure design was adopted, and for the micro-electro-mechanical system (MEMS) patch-type sensors, the headspace was compressed. The results of computational fluid dynamics (CFD) based simulation showed that the concentration of pre-concentrated gases in the novel chamber was higher than that of the traditional chamber. The designed chambers were manufactured using polylactic acid (PLA) material by 3D printing. Experimental gases were prepared from polyurethane (PU) leather and polyvinyl chloride (PVC) leather to verify the performance of the chambers, and the results demonstrated that the proposed new e-nose chamber was superior to the traditional one in terms of the pre-concentration effect, repeatability and classification performance.

关键词： Gas detectors Sensor arrays Micromechanical devices Fluid flow Gases Automobiles

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Numerical Investigation of Localized Surface Plasmon Resonance (LSPR) based Sensor for Glucose Level Monitoring

Numerical Investigation of Localized Surface Plasmon Resonan...

引用

First International Symposium on Instrumentation, control, Artificial Intelligence, and Robotics (ICA-SYMP)

作者： Kawintida Santavanond Charusluk Viphavakit Wisarn Patchoo Hala El-Khozondar Waleed Mohammed Faculty of Engineering International School of Engineering Chulalongkorn University Bangkok Thailand Faculty of Engineering International School of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Bangkok Thailand The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand Islamic University of Gaza Gaza Palestine The Bangkok University Center of Research in Optoelectronics Communications and Computational Systems School of Engineering Bangkok University Pathumthani Thailand

ISBN: (数字)9781728187600

ISBN: (纸本)9781728187617

This study aims to apply Localized Surface Plasmon Resonance (LSPR), Maxwell Garnett's formula, and Fabry-Perot theory together to design and develop a LSPR enhanced gold colloidal nanoparticles (AuNPs) sensor to be used in biomedical applications such as detection of glucose level in urine for early stage screening of diabetic patients. In this work, the LSPR based sensor has been designed and studied numerically to detect the glucose level from the change in the effective index resulting in a red shift of the absorption peak. The sensors were designed to have various sizes of the gold nanoparticles in a range between 20 nm and 100 nm by having different molar ratio with Trisodium Citrate (TSC) which acts as stabilizer in the synthesis. The maximum possible sensitivity of the sensor can be achieved with 70 nm diameter of gold nanoparticles at 0.2 volume fraction of AuNP to glucose solution.

关键词： Nanoparticles Gold Sensitivity Robot sensing systems Glucose Optical sensors Surface plasmons

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