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Data-driven modeling and simulation of complex multistation manufacturing process for dimensional variation analysis

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International Journal of Modeling, Simulation, and Scientific Computing 2019年第3期10卷 28-42页

作者： Lei Zhang Chuanhui Huang Lei Wang Enlan Zhao Wenke Gao School of Mechanical and Electrical Engineering Xuzhou University of Technology 221018 Xuzhou P.R.China School of Energy and Power Engineering Lanzhou University of Technology 730050 Lanzhou P.R.China

Dimensional variation analysis in multistation manufacturing processes(MMPs)is a challenging research topic with great practical significance.Researchers have been focused on constructing various mathematical models to identify the correlations among the huge amounts of collected production data.However,current models have achieved insufficient insights into the variation correlation laws due to the complexity of the data’s mutual relations.In this study,a data-driven modeling method is developed for deep data-mining and dimensional variation analysis.The proposed initial mathematical expression originates from practical engineering knowledge.Through a mathematical treatment,the mathematical expression is transformed into a first-order AR(1)model format,which contains multiple dimensional variations’interstation and temporal correlating information.To obtain this information,the estimation of the proposed model is discussed in detail.A simulation case involving two key product characteristics of a grinding process is used to demonstrate the effectiveness and accuracy of the proposed method for dimensional variation analysis in MMPs.

关键词： Data-driven multistation AR(1)model partially linear model least squares kernel smoothing

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Using fireball networks to track more frequent reentries:Falcon 9 upperstage orbit determination from video recordings

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Astrodynamics 2021年第4期5卷 347-358页

作者： Eloy Pena-Asensio Josep M.Trigo-Rodriguez Marco Langbroek Albert Rimola Antonio J.Robles Departament de Química Universitat Autònoma de Barcelona(UAB)BellaterraCatalonia 08193Spain Institute of Space Sciences(CSIC) Cerdanyola del VallèsBarcelonaCatalonia 08193Spain Institut d’Estudis Espacials de Catalunya(IEEC) Ed.NexusBarcelonaCatalonia 08034Spain Leiden Observatory Faculty of ScienceLeiden University95002300 RA Leidenthe Netherlands Belgian Working Group Satellites(BWGS) Belgium Spanish Meteor Network(SPMN)Team Spain

On February 16,2021,an artificial object moving slowly over the Mediterranean was recorded by the Spanish Meteor Network(SPMN).Based on astrometric measurements,we identified this event as the reentry engine burn of a SpaceX Falcon 9 launch vehicle’s upper stage.To study this event in detail,we adapted the plane intersection method for near-straight meteoroid trajectories to analyze the slow and curved orbits associated with artificial objects.To corroborate our results,we approximated the orbital elements of the upper stage using four pieces of“debris”cataloged by the U.S.Government’s Combined Space Operations Center.Based on these calculations,we also estimated the possible deorbit hazard zone using the MSISE90 model atmosphere.We provide guidance regarding the interference that these artificial bolides may generate in fireball studies.Additionally,because artificial bolides will likely become more frequent in the future,we point out the new role that ground-based detection networks can play in the monitoring of potentially hazardous artificial objects in near-Earth space and in determining the strewn fields of artificial space debris.

关键词： fireball reentry deorbit artificial meteor multistation

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