检索结果-南通市图书馆

Indirect Measurement Methods forQuality and Process Control in Nanomanufacturing

在线全文

学校读者我要写书评

暂无评论

Nanomanufacturing and Metrology 2022年第3期5卷 209-229页

作者： Zhaoyan Fan xiaochen Hu robert x.gao School of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallisOR97331USA Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOH44106USA

Rapid advancement over the past decades in nanomanufacturing has led to the realization of a broad range of nanostructures such as nanoparticles,nanotubes,and *** unique mechanical,chemical,and electrical properties of these nanostructures have made them increasingly desired as key components in industrial and commercial *** the geometric dimension of nano-manufactured products is on the sub-micron to nanometer scale,different mechanisms and effects are involved in the nanomanufacturing process as compared to those for macro-scale *** direct measurement methods using atomic force microscopy and electron beam microscopy can determine the dimensions of the nano structure with high accuracy,these methods are not suited for online process control and quality *** comparison,indirect measurement methods analyze in-process parameters as the basis for inferring the dimensional variations in the nano products,thereby enabling online feedback for process control and quality *** paper provides a comprehensive review of relevant indirect measurement methods,starting with their respective working principles,and subsequently discussing their characteristics and applications in terms of two different approaches:data-based and physicsbased *** mathematical and physics models for each of the methods are summarized,together with the associated effect of key process parameters on the quality of the final *** on the comprehensive literature conducted,it was found that:(1)indirect measurement,especially the data-based method,plays a critical role when it comes to online process control and quality assurance in nanomanufacturing,because of the short processing time compared to the direct method,and(2)physics-based method is providing a way to optimize the process set up for desired geometrical dimensions.

关键词： Measurement Modeling Nanomanufacturing Quality control

AI-Enabled Monitoring, Diagnosis & Prognosis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2021年第3期34卷 1-2页

作者： Ruqiang Yan xuefeng Chen Weihua Li robert x.gao School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China SHIEN-MING WU School of Intelligent Engineering South China University of TechnologyGuangzhou 510641China Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOhio 44106-7222USA

The emerging and development of Artificial Intelligence(AI),especially deep learning,has stimulated its application in various engineering ***,diagnosis and prognosis,as the key elements of intelligence maintenance of manufacturing systems in the era of Industry 4.0,has also benefited from the advancement of AI *** main objective of this special issue aims at bringing scholars to show their research findings in the field of monitoring,diagnosis and prognosis driven by AI,and promote its application in intelligent maintenance of manufacturing system in *** papers have been selected in this special issue after rigorous review and they represent the latest research outcomes in this active area.

关键词： diagnosis prognosis bringing

在线全文

学校读者我要写书评

暂无评论

基于微传感器的智能轴承技术

中国机械工程 2003年第21期14卷 1883-1885页

作者：高航吕青 robert x.gao 东北大学机械工程与自动化学院先进制造与自动化技术研究所东北大学机械工程与自动化学院德国柏林工业大学

介绍了近年来新发展的基于微传感器的智能轴承技术。根据智能轴承系统的组成 ,该技术主要涉及四个方面的问题 ,即智能轴承机械结构的设计与分析、微传感器的设计与开发、信号采集与传输技术、故障信号的处理与分析技术。分别对智能轴承... 详细信息

介绍了近年来新发展的基于微传感器的智能轴承技术。根据智能轴承系统的组成 ,该技术主要涉及四个方面的问题 ,即智能轴承机械结构的设计与分析、微传感器的设计与开发、信号采集与传输技术、故障信号的处理与分析技术。分别对智能轴承这四个方面的技术与发展进行了阐述。

关键词：智能轴承微传感器有限元信号

New Sensing Technologies for Monitoring Machinery,Structures,and Manufacturing Processes

在线全文

学校读者我要写书评

暂无评论

Journal of Dynamics, Monitoring and Diagnostics 2023年第2期2卷 69-88页

作者： JDMD Editorial Office Zhaoyan Fan robert x.gao Qingbo He Yi Huang Tianxi Jiang Zhike Peng Luc Thévenaz Yuyong xiong Shuncong Zhong Editorial Office of JDMD Chongqing University of TechnologyChongqingPeople’s Republic of China Department of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallisORUSA Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOHUSA State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhouPeople’s Republic of China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhouPeople’s Republic of China School of Mechanical Engineering Ningxia UniversityYinchuanPeople’s Republic of China EPFL Ecole Polytechnique Fédérale de Lausanne Group for Fibre OpticsSCI-STI-LT Station 111015 LausanneSwitzerland

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of various new sensing technologies,including multiphysics sensing,smart materials and metamaterials sensing,microwave sensing,fiber optic sensors,and terahertz sensing,for measuring vibration,deformation,strain,acoustics,temperature,spectroscopic,*** on the observations from the state of the art,we provide comprehensive discussions on the possible opportunities and challenges of these new sensing technologies so as to steer future development.

关键词： fiber optic sensor metamaterials sensing microwave sensing multiphysics sensing terahertz sensing

Improved Multiple Feature-electrochemical Thermal Coupling Modeling of Lithium-ion Batteries at Low-temperature with Real-time Coefficient Correction

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Protection and Control of Modern Power Systems 2024年第3期9卷 157-173页

作者： Shunli Wang Haiying gao Paul Takyi-Aninakwa Josep M.Guerrero Carlos Fernandez Qi Huang IET the School of Electric Power Inner Mongolia University of TechnologyInner Mongolia 010051China the School of Information Engineering Southwest University of Science and TechnologyMianyang 621010China Southwest University of Science and Technology(SWUST) the Smart Energy Storage Institute the Department of Energy Technology Aalborg UniversityDenmark robert Gordon University IEEE Southwest University of Science and Technology

Monitoring various internal parameters plays a core role in ensuring the safety of lithium-ion batteries in power supply *** also influences the sustainability effect and online state of charge *** improved multiple feature-electrochemical thermal coupling modeling method is proposed considering low-temperature performance degradation for the complete characteristic expression of multi-dimensional *** is to obtain the parameter influence mechanism with a multi-variable coupling *** optimized decoupled deviation strategy is constructed for accurate state of charge prediction with real-time correction of time-varying current and temperature *** innovative decoupling method is combined with the functional relationships of state of charge and open-circuit voltage to capture energy management ***,an adaptive equivalent-prediction model is constructed using the state-space equation and iterative feedback correction,making the proposed model adaptive to fractional *** maximum state of charge estimation errors of the proposed method are 4.57% and 0.223% under the Beijing bus dynamic stress test and dynamic stress test conditions,*** improved multiple feature-electrochemical thermal coupling modeling realizes the effective correction of the current and temperature variations with noise influencing coefficient,and provides an efficient state of charge prediction method adaptive to complex conditions.

关键词： Adaptive inner state characterization lithium-ion batteries low-temperature automatic-guided-vehicle multiple feature-electrochemical thermal coupling modeling real-time coefficient correction

丹江口水库浮游细菌和氮磷循环基因垂直分布特征及其驱动因素

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

环境科学 2024年第7期45卷 3995-4005页

作者：张玮玮高姗姗李梦璐陈彦 Nicola Fohrer robert Costanza 李玉英陈兆进南阳师范学院水资源与环境工程学院南阳473061 南水北调中线水源区流域生态安全高等学校学科创新引智基地南阳473061

丹江口水库作为南水北调中线工程水源地,不同深度浮游细菌群落组成、氮磷循环功能及其驱动因素尚未清晰.选取丹江口水库5个生态点位,采用宏基因组学研究表层、中层和底层垂直分布浮游细菌群落组成,分析预测氮磷循环功能及其驱动因素.结... 详细信息

丹江口水库作为南水北调中线工程水源地,不同深度浮游细菌群落组成、氮磷循环功能及其驱动因素尚未清晰.选取丹江口水库5个生态点位,采用宏基因组学研究表层、中层和底层垂直分布浮游细菌群落组成,分析预测氮磷循环功能及其驱动因素.结果表明,丹江口水库主要由变形菌门、放线菌门和浮霉菌门等优势种群组成,不同深度来源的浮游细菌群落结构具有显著差异,水温(T)、氧化还原电位(ORP)、溶解氧(DO)和Chla是影响浮游细菌群落组成的主要因素.氮循环功能基因分析表明,主要涉及生物固氮过程、硝化作用、反硝化作用和异化硝酸盐还原作用等7个主要途径的gltB、glnA、gltD、gdhA和NRT等39个氮循环功能基因.磷循环功能基因分析表明,主要涉及有机磷矿化、无机磷溶解、调节等6个主要途径的pstS、ppx-gppA、glpQ和ppk1等54个磷循环功能基因.聚类分析表明不同深度是影响氮磷循环功能基因组成和丰度的主要因素,表层和底层氮磷循环功能基因丰度高于中层样品.奇异球菌属、嗜氢菌属、Limnohabitans和棍状杆菌属等是氮磷循环的关键物种.DO、pH、T、总溶解性固体(TDS)、电导率(EC)和Chla与氮磷循环功能基因显著相关,以上环境因子随丹江口水库深度增加浓度降低或升高,导致浮游细菌氮磷循环功能基因呈明显的垂直分布特征.通过揭示丹江口水库不同深度浮游细菌群落组成、氮磷循环功能及其影响因素,可为丹江口浮游细菌生态功能和多样性保护发挥潜在的作用.

关键词：丹江口水库分层宏基因组氮循环磷循环

A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2017年第6期30卷 1347-1356页

作者： Si-Yu Shao Wen-Jun Sun Ru-Qiang Yan Peng Wang robert x.gao School of Instrument Science and Engineering Southeast University Department of Mechanical and Aerospace Engineering Case Western Reserve University

Extracting features from original signals is a key procedure for traditional fault diagnosis of induction motors, as it directly influences the performance of fault recognition. However, high quality features need expert knowledge and human intervention. In this paper, a deep learning approach based on deep belief networks （DBN） is developed to learn features from frequency distribution of vibration signals with the purpose of characterizing work- ing status of induction motors. It combines feature extraction procedure with classification task together to achieve automated and intelligent fault diagnosis. The DBN model is built by stacking multiple-units of restricted Boltzmann machine （RBM）, and is trained using layer-by- layer pre-training algorithm. Compared with traditional diagnostic approaches where feature extraction is needed, the presented approach has the ability of learning hierar- chical representations, which are suitable for fault classi- fication, directly from frequency distribution of the measurement data. The structure of the DBN model is investigated as the scale and depth of the DBN architecture directly affect its classification performance. Experimental study conducted on a machine fault simulator verifies the effectiveness of the deep learning approach for fault diagnosis of induction motors. This research proposes an intelligent diagnosis method for induction motor which utilizes deep learning model to automatically learn features from sensor data and realize working status recognition.

关键词： Fault diagnosis Deep learning Deep beliefnetwork. RBM Classification

Construction and Application of Multivariable Finite Element for Flat Shell Analysis

在线全文

学校读者我要写书评

暂无评论

Acta Mechanica Solida Sinica 2018年第4期31卷 391-404页

作者： xingwu Zhang Yanfei He robert x. gao Jia Geng xuefeng Chen Jiawei xiang State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 China School of Mechanical Engineering Xi ' an Jiaotong University Xi ' an 710049 China Department of Mechanical Engineering Case Western Reserve University Cleveland OH 44106 USA Zhejiang Provincial Key Laboratory of Laser Processing Robot/Key Laboratory of Laser Precision Processing & Detection Wenzhou University Wenzhou 325035 China

Based on B-spline wavelet on the interval （BSWI） and the multivariable generalized variational principle, the multivariable wavelet finite element for flat shell is constructed by combining the elastic plate element and the Mindlin plate element together. First, the elastic plate element formulation is derived from the generalized potential energy function. Due to its excellent numerical approximation property, BSWI is used as the interpolation function to separate the solving field variables. Second, the multivariable wavelet Mindlin plate element is deduced and constructed according to the multivariable generalized variational principle and BSWI. Third, by following the displacement compatibility requirement and the coordinate transformation method, the multivariable wavelet finite element for fiat shell is constructed. The novel advantage of the constructed element is that the solving precision and efficiency can be improved because the generalized displacement field variables and stress field variables are interpolated and solved independently. Finally, several numerical examples including bending and vibration analyses are given to verify the constructed element and method.

关键词： B-spline wavelet on the interval Elastic plate Mindlin plate Flat shell Multivariable

Acoustic radiation-free surface phononic crystal resonator for in-liquid low-noise gravimetric detection

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Microsystems & Nanoengineering 2021年第1期7卷 99-108页

作者： Feng gao Amine Bermak Sarah Benchabane Laurent robert Abdelkrim Khelif College of Science and Engineering Hamad Bin Khalifa UniversityEducation CityDohaQatar Institut FEMTO-ST CNRSUniversitéde Bourgogne-Franche-ComteBesanconFrance

Acoustic wave resonators are promising candidates for gravimetric ***,they generally suffer from strong acoustic radiation in liquid,which limits their quality factor and increases their frequency *** article presents an acoustic radiation-free gravimetric biosensor based on a locally resonant surface phononic crystal(SPC)consisting of periodic high aspect ratio electrodes to address the above *** acoustic wave generated in the SPC is slower than the sound wave in water,hence it prevents acoustic propagation in the fluid and results in energy confinement near the electrode *** energy confinement results in a significant quality factor improvement and reduces frequency *** proposed SPC resonator is numerically studied by finite element analysis and experimentally implemented by an electroplating-based fabrication *** results show that the SPC resonator exhibits an in-liquid quality factor 15 times higher than a conventional Rayleigh wave resonator at a similar operating *** proposed radiation suppression method using SPC can also be applied in other types of acoustic wave ***,this method can serve as a general technique for boosting the in-liquid quality factor and sensing performance of many acoustic biosensors.

关键词： resonator Acoustic liquid