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High-speed grinding:from mechanism to machine tool

Advances in Manufacturing 2025年第1期13卷 105-154页

作者： Yu-Long Wang Yan-Bin Zhang Xin Cui Xiao-Liang Liang Run-Ze Li Ruo-Xin Wang Shubham Sharma Ming-Zheng Liu Teng Gao Zong-Ming Zhou Xiao-Ming Wang Yusuf Suleiman Dambatta Chang-He Li School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao266520ShandongPeople’s Republic of China Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE School of Mechanical EngineeringShandong UniversityJinan250061People’s Republic of China Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMAUSA State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongPeople’s Republic of China Department of Mechanical Engineering and Advanced Materials Science Council of Scientific and Industrial Research(CSIR)-Central Leather Research Institute(CLRI)Regional Center for Extension and DevelopmentJalandhar144021India Hanergy(Qingdao)Lubrication Technology Co. Ltd.Qingdao266200ShandongPeople’s Republic of China Department of Mechanical Engineering Ahmadu Bello UniversityZariaNigeria

High-speed grinding(HSG)is an advanced technology for precision machining of difficult-to-cut materials in aerospace and other fields,which could solve surface burns,defects and improve surface integrity by increasing the linear speed of the grinding *** advantages of HSG have been preliminarily confirmed and the equipment has been built for experimental research,which can achieve a high grinding speed of more than 300 m/***,it is not yet widely used in manufacturing due to the insufficient understanding on material removal mechanism and characteristics of HSG machine *** fill this gap,this paper provides a comprehensive overview of HSG technologies.A new direction for adding auxiliary process in HSG is ***,the combined influence law of strain hardening,strain rate intensification,and thermal softening effects on material removal mechanism was revealed,and models of material removal strain rate,grinding force and grinding temperature were ***,the constitutive models under high strain rate boundaries were summarized by considering various properties of material and grinding ***,the change law of material removal mechanism of HSG was revealed when the thermodynamic boundary conditions changed,by introducing lubrication conditions such as minimum quantity lubrication(MQL),nano-lubricant minimum quantity lubrication(NMQL)and cryogenic air(CA).Finally,the mechanical and dynamic characteristics of the key components of HSG machine tool were summarized,including main body,grinding wheel,spindle and dynamic balance *** on the content summarized in this paper,the prospect of HSG is put *** study establishes a solid foundation for future developments in the field and points to promising directions for further exploration.

关键词： High speed grinding(HSG) Material removal mechanism Typical material Lubrication methods Machine tool

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A fully biodegradable polydioxanone occluder for ventricle septal defect closure

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Bioactive Materials 2023年第6期24卷 252-262页

作者： Zefu Li Pengxu Kong Xiang Liu Shuyi Feng Wenbin Ouyang Shouzheng Wang Xiaopeng Hu Yongquan Xie Fengwen Zhang Yuxin Zhang Rui Gao Weiwei Wang Xiangbin Pan Department of Structural Heart Disease National Center for Cardiovascular DiseaseChina&State Key Laboratory of Cardiovascular DiseaseFuwai HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeNational Health Commission Key Laboratory of Cardiovascular Regeneration MedicineNational Clinical Research Center for Cardiovascular DiseasesBeijingChina Tianjin Key Laboratory of Biomaterial Research Institute of Biomedical EngineeringChinese Academy of Medical Science&Peking Union Medical CollegeTianjinChina Department of Polymer Science and Engineering Key Laboratory of Systems Bioengineering(Ministry of Education)School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China Research and Development Department Lepu Medical Technology(Beijing)CoLtdBeijing102200China Key Laboratory of Innovative Cardiovascular Devices Chinese Academy of Medical SciencesChina

Ventricular septal defect(VSD)is one of the commonest congenital heart diseases(CHDs).Current occluders for VSD treatment are mainly made of nitinol,which has the risk of nickel allergy,persistent myocardial abrasion and fatal ***,a fully biodegradable polydioxanone(PDO)occluder equipped with a shape line and poly-L-lactic acid PLLA membranes is developed for VSD closure without the addition of metal *** occluder showed great mechanical strength,fatigue resistance,geometry fitness,biocompatibility and *** a rat subcutaneous implantation model,PDO filaments significantly alleviated inflammation response,mitigated fibrosis and promoted endothelialization compared with *** safety and efficacy of PDO occluder were confirmed in a canine VSD model with 3-year follow-up,demonstrating the biodegradable PDO occluder could not only effectively repair VSD,induce cardiac remodeling but also address the complications associated with metal ***,a pilot clinical trial with five VSD patients indicated that all the occluders were successfully implanted under the guidance of echocardiography and no adverse events occurred during the 3-month ***,the fully bioresorbable PDO occluder is safe and effective for clinical VSD closure and holds great promise for the treatment of structural CHDs.

关键词： Polymer Congenital heart disease Ventricle septal defect Biodegradable occluder Tissue regeneration

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Multiscale Bilateral Attention Fusion Network for Pansharpening

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5828-5843页

作者： Guo, Zhongyuan Li, Jiawei Lei, Jia Liu, Jinyuan Zhou, Shihua Wang, Bin Kasabov, Nikola K. Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China University of the Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Dalian University of Technology School of Mechanical Engineering Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1061 New Zealand University of Ulster Intelligent Systems Research Center LondonderryBT48 7JL United Kingdom Bulgarian Academy of Sciences IICT Sofia1000 Bulgaria

High-resolution multispectral (HRMS) images combine spatial and spectral information originating from panchromatic (PAN) and reduced-resolution multispectral (LRMS) images. Pansharpening performs well and is widely used to obtain HRMS images. However, most pansharpening approaches determine the ratio of PAN and LRMS images through direct interpolation, which may introduce artifacts and distort the color of the fused results. To address this issue, an unsupervised progressive pansharpening framework, MSBANet, is proposed, which adopts a multistage fusion strategy. Each stage contains an attention interactive extraction module (AIEM) and a multiscale bilateral fusion module (MBFM). The AIEM extracts spatial and spectral features from input images and captures the correlations between features. The MBFM can efficiently integrate information from the AIEM and improve MSBANet context awareness. We design a hybrid loss function that enhances the ability of the fusion network to store spectral and texture details. In qualitative and quantitative experimental studies on four datasets, MSBANet outperformed state-of-the-art pansharpening techniques. The code will be released. © 2024 IEEE.

关键词： Data mining

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Intrinsic Rheocasting Defect Study of an EN AB-42000 Mechanical Component 1

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3rd International Conference on Innovation in engineering, ICIE 2024

作者： Morgado, Teresa Brites, Catarina Velhinho, Alexandre Silva, Rui Mourão, António Lisbon School of Engineering of Polytechnic Institute of Lisbon Lisbon Portugal Research and Development Unit for Mechanical and Industrial Engineering and Department of Mechanical and Industrial Engineering of NOVA University of Lisbon Caparica Portugal Navy Research Center Almada Portugal Intelligent Systems Associate Laboratory Guimarães Portugal Materials Research Centre Institute for Nanostructures Nanomodelling and Nanofabrication and Department of Materials Engineering of Universidade NOVA de Lisboa Caparica Portugal

ISBN: (数字)9783031626845

ISBN: (纸本)9783031626838

Foundry technology permits obtaining the most complex parts for the most diversified applications with excellent quality. An emergent process of casting is Rheocasting. This work aims to study the manufacturing defects obtained in an automobile component. The material used in this research is the EN AB-42000 aluminium alloy, and the manufacturing process was Rheocasting. In the development of this work, the Quickcast software was used to simulate the solidification process. Furthermore, the simulation software was used to check the presence of hotspots by altering the production parameters to minimize the defect distribution, obtaining information and considerations to take into account during the conceptual and production stages. In addition, experimental work was carried out to identify and quantify the Rheocasting intrinsic defects. This study allowed the gathering of data that, after being adequately dealt with, led to the characterization of types of intrinsic defects in the manufacturing process. With the experimental data obtained in this study, conclusions regarding design and production were deduced. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Industrial research

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An automatic isotropic/anisotropic hybrid grid generation technique for viscous flow simulations based on an artificial neural network

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Chinese Journal of Aeronautics 2022年第4期35卷 102-117页

作者： Peng LU Nianhua WANG Xinghua CHANG Laiping ZHANG Yadong WU School of Information Engineering Southwest University of Science and TechnologyMianyang 621010China School of Intelligent Manufacturing Engineering Chongqing University of Arts and ScienceChongqing 402160China Stake Key Laboratory of Aerodynamics China Aerodynamics Research and Development CenterMianyang 621000China Unmanned Systems Research Center National Innovation Institute of Defense TechnologyBeijing 100071China School of Computer Science and Technology Sichuan University of Science&EngineeringYibin 644005China

Based on the author’s previous research, a novel hybrid grid generation technique is developed by introducing an Artificial Neural Network(ANN) approach for realistic viscous flow simulations. An initial hybrid grid over a typical geometry with anisotropic quadrilaterals in the boundary layer and isotropic triangles in the off-body region is generated by the classical mesh generation method to train two ANNs on how to predict the advancing direction of the new point and to control the grid size. After inputting the initial discretized fronts, the ANN-based Advancing Layer Method(ALM) is adopted to generate the anisotropic quadrilaterals in boundary layers. When the high aspect ratio of the anisotropic grid reaches a specified value, the ANN-based Advancing Front Method(AFM) is adopted to generate isotropic triangles in the off-body computational *** initial isotropic triangles are smoothed to further improve the grid quality. Three typical cases are tested and compared with experimental data to validate the effectiveness of grids generated by the ANN-based hybrid grid generation method. The experimental results show that the two ANNs can predict the advancing direction and the grid size very well, and improve the adaptability of the isotropic/anisotropic hybrid grid generation for viscous flow simulations.

关键词： Advancing front method Advancing layer method Anisotropic quadrilateral grid generation Artificial neural network Isotropic triangular grid generation Machine learning

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Simulation and Operation Analysis of a Smart Grid Using Simulink 14th

Simulation and Operation Analysis of a Smart Grid Using Simu...

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14th International conference of the IMACS TC1 Committee, ELECTRIMACS 2022

作者： Van Waeyenberge, Alexander Canizes, Bruno Soares, João Ramos, Sérgio Ravyts, Simon Chavez, Juliana Vale, Zita GECAD Research Center Polytechnic of Porto Porto Portugal GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI—Intelligent Systems Associate Laboratory Polytechnic of Porto Porto Portugal ESAT ELECTA KU Leuven Ghent Belgium

ISBN: (纸本)9783031248368

Changes will be required to handle the increased power flow in the network as the distribution infrastructure ages and the number of EVs and renewable grows. Designing and operating an intelligent network that reacts to changing power flows to ensure the optimal operation is the most economical option than fortifying the network with heavier cables. This work aims to build a model of a 13 bus medium voltage distribution network with high penetration of distributed energy resources and use it to analyze network conditions. The MATLAB Simulink software is used to model and evaluate the network. The outcomes suggest the model is promising and valid even when renewable generation is at low levels. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart power grids

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Reynosin protects neuronal cells from microglial neuroinflammation by suppressing NLRP3 inflammasome activation mediated by NADPH oxidase

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Chinese Journal of Natural Medicines 2024年第6期22卷 486-500页

作者： YANG Yanqiu CHE Yue FANG Mingxia YAO Xiaohu ZHOU Di WANG Feng CHEN Gang LIANG Dong LI Ning HOU Yue Key Laboratory of Bioresource Research and Development of Liaoning Province College of Life and Health SciencesNorth-eastern UniversityShenyang 110000China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Key Laboratory of Data Analytics and Optimization for Smart IndustryMinistry of EducationNortheastern UniversityShenyang 110000China School of Traditional Chinese Materia Medica Key Laboratory of Innovative Traditional Chinese Medicine for Major Chronic Diseases of Liaoning provinceKey Laboratory for TCM Material Basis Study and Innovative Drug Development of Shenyang CityShenyang Pharmaceutical UniversityShenyang 110000China State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources School of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGuilin 541000China

Neuroinflammation,mediated by the nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing-3(NLRP3)inflammasome,is a significant contributor to the pathogenesis of neurodegenerative diseases(NDDs).Reynos-in,a natural sesquiterpene lactone(SL),exhibits a broad spectrum of pharmacological effects,suggesting its potential therapeutic ***,the effects and mechanism of reynosin on neuroinflammation remain *** current study explores the effects and mechanisms of reynosin on neuroinflammation using mice and BV-2 microglial cells treated with lipopolysaccharide(LPS).Our findings reveal that reynosin effectively reduces microglial inflammation in vitro,as demonstrated by decreased CD11b expression and lowered interleukin-1 beta(IL-1β)and interleukin-18(IL-18)mRNA and protein ***,in vivo,results showed a re-duction in the number of Iba-1 positive cells and alleviation of morphological alterations,alongside decreased expressions of IL-1βand *** analysis indicates that reynosin inhibits NLRP3 inflammasome activation,evidenced by reduced transcription of NLRP3 and caspase-1,diminished NLRP3 protein expression,inhibited apoptosis-associated speck-like protein containing a CARD(ASC)oli-gomerization,and decreased caspase-1 ***,reynosin curtailed the activation of nicotinamide adenine dinuc-leotide phosphate(NADPH)oxidase,demonstrated by reduced NADP^(+)and NADPH levels,downregulation of gp91^(phox) mRNA,pro-tein expression,suppression of p47^(phox) expression and translocation to the ***,reynosin exhibited a neuroprotective effect against microglial inflammation in vivo and in *** collective findings underscore reynosin’s capacity to mitigate mi-croglial inflammation by inhibiting the NLRP3 inflammasome,thus highlighting its potential as a therapeutic agent for managing neuroinflammation.

关键词： Microglia NLRP3 inflammasome Reactive oxygen species NADPH oxidase Neuron Reynosin

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A preliminary site selection system for underground hydrogen storage in salt caverns and its application in Pingdingshan,China

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Deep Underground Science and engineering 2024年第1期3卷 117-128页

作者： Liangchao Huang Yanli Fang Zhengmeng Hou Yachen Xie Lin Wu Jiashun Luo Qichen Wang Yilin Guo Wei Sun Sino‐German Research Institute of Carbon Neutralization and Green Development Zhengzhou UniversityZhengzhouChina Institute of Subsurface Energy Systems Clausthal University of TechnologyClausthal ZellerfeldGermany Research Centre of Energy Storage Technologies Clausthal University of TechnologyGoslarGermany Sino‐German Energy Research Center Sichuan UniversityChengduChina State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhanChina Faculty of Land and Resources Engineering Kunming University of Science and TechnologyKunmingChina

Large‐scale underground hydrogen storage(UHS)provides a promising method for increasing the role of hydrogen in the process of carbon neutrality and energy *** all the existing storage deposits,salt caverns are recognized as ideal sites for pure hydrogen *** and optimization of site selection for hydrogen storage facilities in salt caverns have become significant *** this article,the software CiteSpace is used to analyze and filter hot topics in published *** on a detailed classification and analysis,a“four‐factor”model for the site selection of salt cavern hydrogen storage is proposed,encompassing the dynamic demands of hydrogen energy,geological,hydrological,and ground factors of salt ***,20 basic indicators for comprehensive suitability grading of the target site were screened using the analytic hierarchy process and expert survey methods were adopted,which provided a preliminary site selection system for salt cavern hydrogen ***,the developed system was applied for the evaluation of salt cavern hydrogen storage sites in the salt mines of Pingdingshan City,Henan Province,thereby confirming its rationality and *** research provides a feasible method and theoretical basis for the site selection of UHS in salt caverns in China.

关键词： analytic hierarchy process(AHP) evaluation index hydrogen storage salt cavern site selection

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Emerging natural hemp seed proteins and their functions for nutraceutical applications

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Food Science and Human Wellness 2023年第4期12卷 929-941页

作者： Haihong Chen Bing Xu Yi Wang Wei Li Dong He Yan Zhang Xizhen Zhang Xinhui Xing Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 440300China Key Laboratory for Industrial Biocatalysis Ministry of EducationInstitute of Biochemical EngineeringDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China School of Chemical Engineering and Energy Technology Engineering Research Center of Health Food Design&Nutrition RegulationKey Laboratory of Healthy Food Development and Nutrition Regulation of China National Light IndustryDongguan University of TechnologyDongguan 523808China Hebei Food Inspection and Research Institute Shijiazhuang 050091China College of life Science and Technology Guangxi UniversityNanning 530004China Center for Synthetic and Systems Biology Tsinghua UniversityBeijing 100084China

With changing dietary habits and increasing awareness of the nutraceutical role of dietary foods,the demand for natural plant proteins and interest in non-traditional protein sources in the food industry are *** hemp,belonging to the plant family Cannabaceae,is cultivated for its fibre and edible *** to its nutritional value,it has also been used in the food industry and *** particular,hemp seed proteins have drawn considerable attention in both scientific and industrial fields because of their excellent nutraceutical values,superior digestibility,low allergenicity and diverse techno-functional *** this review,we provide a summary of the current research progress on the extraction and purification processes,physiochemical properties,nutraceutical functions,and applications of hemp seed *** in the application of advanced technologies for hemp seed bioactive peptide mining are also *** review provides up-to-date insights into the nutraceutical values,health benefits,and future applications of this emerging plant source protein.

关键词： Hemp seed protein Extraction Purification Physicochemical properties Nutraceutical functions Food industry

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Motion System Optimisation for Direct-Drive Selective Compliance Assembly Robot Arm

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IET Electric Power Applications 2025年第1期19卷

作者： Liu, Zhun Tang, Chentao Fang, Youtong Pfister, Pierre-Daniel College of Electrical Engineering Zhejiang University Hangzhou China Akribis Systems Research and Development Center Hangzhou China Zhejiang Provincial Key Laboratory of Electrical Machine Systems Zhejiang University Hangzhou China

A direct-drive selective compliance assembly robot arm (DDSCARA) poses difficulties in system optimisation due to numerous design parameters and strong coupling between components. This article presents a new optimisation framework based on the characteristic parameters surrogate model to solve the computation burden of the DDSCARA motion system optimisation. The framework divides the optimisation problem into three sub-optimisations. Firstly, we construct a characteristic parameters surrogate model of the direct-drive motor (DDM) by multi-objective optimisation to reduce the training dataset size at the component level. Secondly, in the system-level optimisation, we take the cost and reliability indicators as the optimisation objectives and obtain the optimal characteristic parameters of the DDMs, motion trajectory parameters, and design parameters of other components. A pre-optimisation of the DDM characteristic parameters using gradient descent is used to accelerate the convergence and improve optimisation results. Thirdly, the closest point method and Bayesian optimisation are used to recover the DDM design parameters. For the given optimisation problem, the new framework saves 97.7% computation time compared to the traditional framework. We design an optimised prototype and conduct comparative experiments with the original prototype. The optimised prototype achieves 33% and 12.5% improvements in reliability and unit production per hour, respectively. © 2025 The Author(s). IET Electric Power Applications published by John Wiley & Sons Ltd on behalf of The Institution of engineering and Technology.

关键词： Robotic arms

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