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automation System in Rare Earths Countercurrent Extraction Processes

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Journal of Rare Earths 2001年第1期19卷 6-10页

作者：贾江涛严纯华廖春生吴声王明文李标国 Peking Univ Beijing Inst Founder Rare Earth Sci & Technol State Key Lab Rare Earth Mat Chem & Applicat Beijing 100871 Peoples R China

Based on the countercurrent extraction theory for optimized designing and simulating, the rare earth separation processes, the selection of the detecting points (stages) and on-line analysis for elements, the simulation of open loop response and its response speed, the diagnosis and the regulative prescription for running the solvent extraction cascades were studied.

关键词： rare earths automation rare earth separation open loop response feedback feedforward

automation 5.0: The Key to Systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

automation has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： automation machinery intelligence

automation of input data to discrete event simulation for manufacturing: A review

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International Journal of Modeling, Simulation, and Scientific Computing 2016年第1期7卷 93-119页

作者： Panagiotis Barlas Cathal Heavey Enterprise Research Centre University of Limerick LimerickIreland

Discrete event simulation(DES)is a well-established decision support tool in modeling work flows in manufacturing ***,there are an amount of practical and financial obstacles that deter the employment of this technology in *** of the main weaknesses of operating DES is the costs spent on collecting and mapping input data from different enterprise data resources into a DES *** issue is the cost of integrating simulation applications with other manufacturing *** barriers hinder the automated input of data into DES models and as a result deter use of real-time DES in *** review presents the existing research studies in the literature that address the above issues,demonstrating in parallel the already implemented *** scope of this review is to provide an overview of the input data phase,focusing on its automation and motivating researchers to re-examine this phase by highlighting future research directions.

关键词： Discrete event simulation input data automation

Formation mechanism of large grains inside annealed microstructure of GH4169 superalloy by cellular automation method

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Journal of Materials Science & Technology 2019年第7期35卷 1403-1411页

作者： Ming-Song Chen Zong-Huai Zou Y.C.Lin Hong-Bin Li Guan-Qiang Wang School of Mechanical and Electrical Engineering Central South UniversityChangsha410083China State Key Laboratory of High Performance Complex Manufacturing Changsha410083China College of metallurgies and energy North China Science and Technologies UniversityTangshan063009China

In authors’ previous work [Mater. Charact. 141 (2018) 212-222]. it was found that the heterogeneous deformed microstructures can be replaced by the relatively homogeneous recrystallized grains through an annealing treatment. However, there are still some relatively large recrystallized grains. To find the reasons for the formation of large grains, some new annealing treatment tests were done, and the cellular automation (CA) simulations were carried out in the present work. The experimental results showed that the microstructural evolution during annealing treatment is significantly affected by the content of S phase. So. the effects of δ phase on the nucleation and growth of grains are carefully considered in the CA model to accurately simulate the microstructural evolution behavior. By the CA simulation, it is found that the dislocation density rapidly decreases due to the nucleation of static recrystallization (SRX) and the growth of dynamc recrystallization (DRX) nuclei at the early stage of annealing. The high initial dislocation density provide the high velocity for the growth of DRX nuclei, which is responsible for the formation of coarse grains, However, the growth rate of SRX nuclei is relatively small due to the low dislocation density and pinning effects of δ phase.

关键词： GH4169 superalloy Cellular automation model Coarse grains Annealing treatment Recrystallization behavior

Longwall automation:trends,challenges and opportunities

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International Journal of Mining Science and Technology 2017年第5期27卷 733-739页

作者： Jonathon C.Ralston Chad O.Hargrave Mark T.Dunn Coal Mining Research Program CSIRO EnergyBrisbaneAustralia

This paper explores the ongoing development and implementation of longwall automation technology to achieve greater levels of underground coal mining performance. The primary driver behind the research and development effort is to increase the safety, productivity and efficiency of longwall mining operations to enhance the underlying mining business. A brief review of major longwall automation challenges is given followed by a review of the insights and benefits associated with the LASC longwall shearer automation solution. Areas of technical challenge in sensing, decision support, autonomy and human interaction are then highlighted, with specific attention given to remote operating centres, proximity detection and systems-level architectures in order to motivate further automation system *** vision for a fully integrated coal mining ecosystem is discussed with the goal of delivering a highperformance, zero-exposure and environmentally coherent mining operations.

关键词： Safety Productivity Environment Mining automation Longwall mining Remote mining Sensing

Exploring the potential of simple automation concepts for quantifying functional groups on nanomaterials with optical assays

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Nano Research 2024年第11期17卷 10119-10126页

作者： Isabella Tavernaro Anna Matiushkina Kai Simon Rother Celina Mating Ute Resch-Genger Division Biophotonics Federal Institute for Materials Research and Testing (BAM) Richard-Willstaetter-Str. 11 Berlin 12489 Germany

Until now, automation in nanomaterial research has been largely focused on the automated synthesis of engineered nanoparticles (NPs) including the screening of synthesis parameters and the automation of characterization methods such as electron microscopy. Despite the rapidly increasing number of NP samples analyzed due to increasing requirements on NP quality control, increasing safety concerns, and regulatory requirements, automation has not yet been introduced into workflows of analytical methods utilized for screening, monitoring, and quantifying functional groups (FGs) on NPs. To address this gap, we studied the potential of simple automation tools for the quantification of amino surface groups on different types of aminated NPs, varying in size, chemical composition, and optical properties, with the exemplarily chosen sensitive optical fluorescamine (Fluram) assay. This broadly applied, but reportedly error-prone assay, which utilizes a chromogenic reporter, involves multiple pipetting and dilution steps and photometric or fluorometric detection. In this study, we compared the influence of automated and manual pipetting on the results of this assay, which was automatically read out with a microplate reader. Special emphasis was dedicated to parameters like accuracy, consistency, achievable uncertainties, and speed of analysis and to possible interferences from the NPs. Our results highlight the advantages of automated surface FG quantification and the huge potential of automation for nanotechnology. In the future, this will facilitate process and quality control of NP fabrication, surface modification, and stability monitoring and help to produce large data sets for nanomaterial grouping approaches for sustainable and safe-by-design, performance, and risk assessment studies.

关键词： automation quantification of amino groups fluorescamine assay amorphous silica nanoparticles iron oxide nanoparticles upconversion nanoparticles

Simulating learning methodology(SLeM):an approach to machine learning automation

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National Science Review 2024年第8期11卷 12-17页

作者： Zongben Xu Jun Shu Deyu Meng School of Mathematics and Statistics Xi'an Jiaotong University Ministry of Education Key Lab of Intelligent Networks and Network Security Xi'an Jiaotong University Peng Cheng Laboratory Pazhou Laboratory(Huangpu)

MACHINE LEARNING REQUIRES automation Machine learning （ML） is a fundamental technology of artificial intelligence（AI） that focuses on searching the possibly existing mapping f:x→y to fit a given dataset D={（xi,y... 详细信息

关键词： automation learning approach machine methodology simulating slem

Environmental impact improvements due to introducing automation into underground copper mines

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International Journal of Mining Science and Technology 2021年第6期31卷 1159-1167页

作者： Kyle Moreau Corey Laamanen Ron Bose Helen Shang John Ashley Scott School of Engineering Laurentian UniversitySudburyON P3E 2C6Canada XPS–Glencore Greater SudburyON P0M 1S0Canada

A life-cycle assessment(LCA) model was developed to comparatively analyze the use of manual and automated mining equipment in underground copper mine *** and key variables that were determined to contribute to the environmental impact of operations were identified for six mine sites in a range of geographical locations around the *** model successfully calculated carbon dioxide(CO_(2) eq.) emissions to within 4.9% of the reported annual emissions from the site's respective *** implementation of automation was found to decrease global warming potential by a range of 11.4%-18.0% or 3.9-17.9 kg CO_(2) eq./t *** model was also used to estimate the average reductions across several impact potentials including,acidification(11.9%-17.8%),eutrophication(7.6%-13.7%),and human toxicity(16.0%-20.0%).World-wide the mining industry is moving toward introducing significantly more automation to enhance productivity and *** novel work demonstrates an important third dimension that can support this move,reduced environmental impact.

关键词： automation Underground copper mines Environmental improvements Life cycle assessment Modelling

Collision Avoidance Strategy Supported by LTE-V-Based Vehicle automation and Communication Systems for Car Following

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Tsinghua Science and Technology 2020年第1期25卷 127-139页

作者： Jiayang Li Yi Zhang Mengkai Shi Qi Liu Yi Chen Department of Mathematics Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Department of AutomationTsinghua UniversityBeijing 100084China Tsinghua-Berkeley Shenzhen Institute(TBSI) Shenzhen 518055China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing 210096China Beijing Nebula Link Tech.Co.Ltd Beijing 100080China Network Technology Research Institute China UnicomBeijing 100044China

We analyzed and improved a collision avoidance strategy, which was supported by Long Term EvolutionVehicle(LTE-V)-based Vehicle-to-Vehicle(V2 V) communication, for automated vehicles. This work was completed in two steps. In the first step, we analyzed the probability distribution of message transmission time, which was conditional on transmission distance and vehicle density. Our analysis revealed that transmission time exhibited a near-linear increase with distance and density. We also quantified the trade-off between high/low resource reselection probabilities to improve the setting of media access parameters. In the second step, we studied the required safety distance in accordance with the response time, i.e., the transmission time, derived on the basis of a novel concept of Responsibility-Sensitive Safety(RSS). We improved the strategy by considering the uncertainty of response time and its dependence on vehicle distance and density. We performed theoretical analysis and numerical testing to illustrate the effectiveness of the improved robust RSS strategy. Our results enhance the practicability of building driverless highways with special lanes reserved for the exclusive use of LTE-V vehicles.

关键词： vehicle automation and communication collision avoidance Long Term Evolution-Vehicle(LTE-V) Responsibility-Sensitive Safety(RSS)