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Uncertainty Quantification of Store-Separation Simulation Due to Ejector Modeling using a Monte Carlo Approach with Kriging Model

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Advances in Applied Mathematics and Mechanics 2022年第3期14卷 622-651页

作者： Shuling Tian Rongjie Li Jiawei Fu Zihan Jiao Jiangtao Chen Key Laboratory of Unsteady Aerodynamics and Flow Control Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjingJiangsu 210016China Shenyang Aircraft Design&Research Institute ShenyangLiaoning 110000China Science and Technology on Space Physics Laboratory China Academy of Launch Vehicle TechnologyBeijing 100076China China Aerodynamics Research and Development Center MianyangSichuan 621000China

Precise calculation of the trajectory of store separation is critical in assess-ing whether the store can be released *** ejection is the initial stage of the releasing process and any uncertainty introduced at this stage will propagate through the whole *** this work,the impact of the uncertainties in ejector modeling on the simulation of a generic store separation is investigated by using a Monte-Carlo-based *** reduce the extremely large computation cost resulted from the direct use CFD in Monte Carlo simulation,the CFD solutions are represented by a time-dependent Kriging model,which is constructed at each time step by using the samples from the URANS *** stochastic outputs,including the distri-bution of probability density function,expected value and 95%conﬁdence interval of store separation trajectory,are obtained by the Monte Carlo *** sensitiv-ity analysis is also carried out by using the Monte-Carlo-based method to determine the most signiﬁcant variables in ejector modeling,which affect the output *** results show that ejector modeling is one of the main uncertainty sources of store separation simulation and the approximation in ejector modeling can cause a signiﬁ-cant deviation,especially in the angular displacement.

关键词： Uncertainty quantification Monte Carlo simulation Kriging surrogate model store separation

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Life cycle environmental impacts of the electrothermal magnesium production: a comparative assessment with the Pidgeon and electrolysis methods

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Journal of Material Cycles and Waste Management 2025年 1-12页

作者： Mohanasundaram, Madan Vasan, A. Keerthi Dhopte, Shilpa M. Sheikh, Rehan R. Seth, Disilwa Meshram, Rohit B. CSIR-National Metallurgical Laboratory Jamshedpur India Computer Science and Engineering Department MIT School of Computing MIT Art Design and Technology University Pune India

The demand for magnesium is steadily progressing in the fields of structural and non-structural applications, but especially in automobiles, because its overall weight advantage results in increased fuel efficiency. The primary goal of the current study is to quantify cradle-to-gate environmental burdens associated with the developed electrothermal process for 1 ton magnesium production using GaBi software. The developed process is compared with the Pidgeon process of China and the electrolysis process of Israel and India. The collected data is analysed using the CML 2001 method. The primary impacts include abiotic depletion potential fossil of about 7.93E04 MJ, global warming potential of about 7.82E03 kg CO2 eq., human toxicity potential of about 2.87E03 kg DCB eq., and marine aquatic ecotoxicity potential of 1.11E07 kg DCB eq. Few insignificant impacts, such as an acidification potential of 96.7 kg SO2 eq., a eutrophication potential of 4.15 kg phosphate eq., and a terrestrial ecotoxicity potential of 21.1 kg DCB eq., are also observed. Electricity contributes approximately 98% to the total environmental impacts across all categories. The life cycle analysis to produce primary magnesium via the Pidgeon process in China led to higher environmental damage potential compared to the developed electrothermal process and electrolysis process. The renewable energy sources and recycling can significantly reduce the environmental impact of primary magnesium production, making it more eco-friendly material.

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An Adaptive Deep Learning Method Integrating Transfer Learning and Concept Drift Detection for Wind Power Forecasting 43

An Adaptive Deep Learning Method Integrating Transfer Learni...

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43rd Chinese Control Conference, CCC 2024

作者： Wang, Jingdi Cao, Yundong Jin, Huaikang Fan, Shouyuan Wang, Bin Jin, Huaiping Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China Kunming University of Science and Technology Yunnan Key Laboratory of Artificial Intelligence Kunming650500 China Huaneng Renewables Co. Ltd. Yunnan Branch Kunming650000 China Yunnan Electric Power Design Institute Kunming650051 China Energy Engineering Group China

ISBN: (纸本)9789887581581

With the continuous advancement of new energy technologies, wind power is becoming an increasingly crucial source of clean energy. Due to the stochastic and fluctuating nature of wind power data, there is a significant challenge known as concept drift, where the data distribution changes over time. This poses a substantial obstacle to accurate prediction, leading to performance degradation of predictors. To address this issue, an adaptive deep-learning wind power prediction method combining transfer learning and concept drift detection is proposed. This method incorporates the concept of online transfer learning, transferring offline-trained model parameters to adapt quickly to new data distributions during the online phase. Simultaneously, a combination of an online moving window and Kullback-Leibler (KL) divergence is employed to capture and analyze changes in the online predictor's output layer network parameters. This facilitates a more precise detection of concept drift in wind power prediction, determining whether model updates are necessary. By dynamically updating model parameters and effectively handling concept drift, the approach can maintain high accuracy and stability in wind power prediction. The effectiveness and superiority of the proposed method are validated through the analysis of real-world wind power field data. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Wind forecasting

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Heritability estimations of ammonia tolerance and survival of ridgetail white prawn Exopalaemon carinicauda

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Journal of Oceanology and Limnology 2022年第4期40卷 1662-1668页

作者： Ding LÜ Chengsong ZHANG Yang YU Jianhai XIANG Fuhua LI Key Laboratory of Experimental Marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China Laboratory for Marine Biology and Biotechnology Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China Center for Ocean Mega-Science Chinese Academy of SciencesQingdao 266071China The Innovation of Seed Design Chinese Academy of SciencesWuhan 430072China

Ridgetail white prawn Exopalaemon carinicauda is an important economic marine species in *** improve the germplasm quality of cultured ***,for the fi rst time,we estimated the heritability of ammonia tolerance and survival of ***,covering 263 full-sib families in multiple *** models including binary linear animal model(BLA),binary linear sire-dam model(BLSD),probit threshold animal model(PTA),and probit threshold sire-dam model(PTSD)were *** estimated heritability of tolerance to ammonia in diff erent models ranged from 0.09 to 0.22,and that of survival rate ranged from 0.06 to *** the tolerance to ammonia,both the PTSD and BLSD models showed comparatively better prediction accuracies(0.48 and 0.47,respectively)than PTA and BLA models(0.40 and 0.26,respectively),while to the survival rate,all four models presented relatively low predictive abilities(0.16-0.26).This study provided important information for the future breeding program of ***.

关键词： heritability Exopalaemon carinicauda tolerance to ammonia survival rate

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Automated Chemical Solid-Phase Synthesis of Glycans

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Chinese Journal of Chemistry 2022年第14期40卷 1714-1728页

作者： Xiaona Li You Yang Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism Shanghai Key Laboratory of New Drug DesignEngineering Research Center of Pharmaceutical Process ChemistryMinistry of EducationSchool of PharmacyEast China University of Science and Technology130 Meilong RoadShanghai 200237China

Automated chemical solid-phase synthesis is an automation platform for rapid and reliable synthesis of *** the seminal work of Automated Glycan Assembly(AGA)disclosed by Seeberger in 2001,AGA has evolved from a proof-of-concept to a robust and reliable technology for streamlined production of various types of *** more than 20 years of unceasing efforts,the major breakthroughs in AGA including linkers,approved building blocks,and synthesizers have been acquired,and numerous influential achievements have been made in complex glycan *** addition,the HPLC-assisted automated synthesis emerges as a promising automation platform to access *** this review,we highlight the key advances in the field of automated chemical solid-phase synthesis,especially in *** synthesis of representative glycans based on AGA is also described.

关键词： Carbohydrates Oligosaccharides Glycosylation Solid-phase synthesis Automated glycan assembly

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Porous-structure engineered spacer for high-throughput and rapidgrowth of high-quality graphene films

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Nano Research 2022年第11期15卷 9741-9746页

作者： Ziteng Ma Heng Chen Xiaofeng Song Buhang Chen Qin Li Yanglizhi Li Haiyang Liu Kaicheng Jia Shenghong Huang Luzhao Sun Zhongfan Liu Center for Nanochemistry Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China Beijing Graphene Institute Beijing 100095China College of Materials Science and Technology Beijing University of Chemical TechnologyBeijing 100029China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing 100871China College of Energy Soochow Institute for Energy and Materials InnovationS(SIEMIS)Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215006China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefei 230027China

Chemical vapor deposition(CVD)in conjunction with batch-to-batch manufacturing process is considered as the most promising technical route for mass-production of high-quality graphene *** improve the space utilization of the CVD chamber and increase the throughput per batch,stacking of the Cu foil substrates is efficient,but suffers from the problems of adjacent fusion and the poor ***,we demonstrate an efficient strategy for high-throughput and rapid growth of high-quality graphene by alternate stacking of Cu foils and porous carbon fiber paper(CFP).Relying on the unhindered mass-transfer through the pores of CFPs,full-covered high-quality graphene films on compact-stacked Cu foils were achieved within 2 *** fluid dynamics(CFD)simulation and isotope labeling technique were performed to explore the gas diffusion and graphene growth process in the confined space of the Cu-CFP *** work provides a feasible method for industrial production of graphene films,which may also be used for batch production of other two-dimensional materials.

关键词： graphene chemical vapor deposition fast growth high-throughput batch-to-batch production

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design, synthesis, molecular modeling, and biological evaluation of acrylamide derivatives as potent inhibitors of human dihydroorotate dehydrogenase for the treatment of rheumatoid arthritis

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Acta Pharmaceutica Sinica B 2021年第3期11卷 795-809页

作者： Fanxun Zeng Shiliang Li Guantian Yang Yating Luo Tiantian Qi Yingfan Liang Tingyuan Yang Letian Zhang Rui Wang Lili Zhu Honglin Li Xiaoyong Xu Shanghai Key Laboratory of Chemical Biology School of PharmacyEast China University of Science&TechnologyShanghai 200237China Shanghai Key Laboratory of New Drug Design State Key Laboratory of Bioreactor EngineeringSchool of PharmacyEast China University of Science&TechnologyShanghai 200237China

Human dihydroorotate dehydrogenase(DHODH) is a viable target for the development of therapeutics to treat cancer and immunological diseases, such as rheumatoid arthritis(RA), psoriasis and multiple sclerosis(MS). Herein, a series of acrylamide-based novel DHODH inhibitors as potential RA treatment agents were designed and synthesized. 2-Acrylamidobenzoic acid analog 11 was identified as the lead compound for structureeactivity relationship(SAR) studies. The replacement of the phenyl group with naphthyl moieties improved inhibitory activity significantly to double-digit nanomolar *** structure optimization revealed that an acrylamide with small hydrophobic groups(Me, Cl or Br)at the 2-position was preferred. Moreover, adding a fluoro atom at the 5-position of the benzoic acid enhanced the potency. The optimization efforts led to potent compounds 42 and 53-55 with IC50 values of 41, 44, 32, and 42 nmol/L, respectively. The most potent compound 54 also displayed favorable pharmacokinetic(PK) profiles and encouraging in vivo anti-arthritic effects in a dose-dependent manner.

关键词： DHODH De novo pyrimidine biosynthesis DHODH inhibitors Acrylamide derivatives Rheumatoid arthritis

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Improving Generalization of Deep Neural Networks by Optimum Shifting

arXiv

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arXiv 2024年

作者： Zhou, Yuyan Li, Ye Feng, Lei Huang, Sheng-Jun MIIT Key Laboratory of Pattern Analysis and Machine Intelligence College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing211106 China Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore

Recent studies showed that the generalization of neural networks is correlated with the sharpness of the loss landscape, and flat minima suggests a better generalization ability than sharp minima. In this paper, we propose a novel method called optimum shifting, which changes the parameters of a neural network from a sharp minimum to a flatter one while maintaining the same training loss value. Our method is based on the observation that when the input and output of a neural network are fixed, the matrix multiplications within the network can be treated as systems of under-determined linear equations, enabling adjustment of parameters in the solution space, which can be simply accomplished by solving a constrained optimization problem. Furthermore, we introduce a practical stochastic optimum shifting technique utilizing the Neural Collapse theory to reduce computational costs and provide more degrees of freedom for optimum shifting. Extensive experiments (including classification and detection) with various deep neural network architectures on benchmark datasets demonstrate the effectiveness of our method. Copyright © 2024, The Authors. All rights reserved.

关键词： Deep neural networks

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Research on Optimization of Momentum Source Model to Supercritical Carbon Dioxide Flow in Wire Wrapped Rods Bundle

SSRN

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SSRN 2023年

作者： Liu, Sichao Liu, Yu Yang, Xiaolei Li, Xiaochang Tian, Ruifeng College of Nuclear Science and Technology Harbin Engineering University Harbin150001 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu601213 China College of Aerospace and Civil Engineering Harbin Engineering University Harbin150001 China

Wrapped wire is widely used in new reactor core design. Simulation with traditional body fitted grid needs a large number of grids, which requires more computing resources. By optimizing the basic mathematical model of momentum source method, simulation of wire wrapped rod bundle with arbitrary wire shape can be carried out. By simulating the experimental data of 3 wire wrapped rod bundle, the model adaptability of momentum source method and mesh sensitivity analysis are carried out. Then optimized momentum source method and original momentum source method are compared based on simulation of supercritical carbon dioxide flow and heat transfer in wire wrapped rod bundle with different wire shapes. Through comparison with body fitted grid, the improvement of accuracy of optimized momentum source model can be proved. In conclusion, optimized momentum source method can greatly save the computational resources and calculated results is more accurate than original momentum source method. © 2023, The Authors. All rights reserved.

关键词： Wire

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A novel approach of jet polishing for interior surface of small-grooved components using three developed setups

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极端制造(英文) 2024年第2期6卷 426-446页

作者： Qinming Gu Zhenyu Zhang Hongxiu Zhou Jiaxin Yu Dong Wang Junyuan Feng Chunjing Shi Jianjun Yang Junfeng Qi State Key Laboratory of High-performance Precision Manufacturing Dalian University of TechnologyDalian 116024People's Republic of China School of Energy and Power Engineering Dalian University of TechnologyDalian 116024People's Republic of China Key Laboratory of Testing Technology for Manufacturing Process Ministry of EducationSouthwest University of Science and TechnologyMianyang 621010People's Republic of China State Key Laboratory of High-performance Precision Manufacturing Dalian University of TechnologyDalian 116024People's Republic of China Beijing Spacecraft Manufacturing Co. LtdChina Academy of Space TechnologyBeijing 100094People's Republic of China School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhouZhejiangPeople's Republic of China Facility Design and Instrumentation Institute China Aerodynamics Research and Development Center(CARDC)Mianyang 621000People's Republic of China Beijing Spacecraft Manufacturing Co. LtdChina Academy of Space TechnologyBeijing 100094People's Republic of China

It is a challenge to polish the interior surface of an additively manufactured component with complex structures and groove sizes less than 1 *** polishing methods are disabled to polish the component,meanwhile keeping the structure *** overcome this challenge,small-grooved components made of aluminum alloy with sizes less than 1 mm were fabricated by a custom-made printer.A novel approach to multi-phase jet(MPJ)polishing is proposed,utilizing a self-developed polisher that incorporates solid,liquid,and gas *** contrast,abrasive air jet(AAJ)polishing is recommended,employing a customized polisher that combines solid and gas *** jet polishing,surface roughness(Sa)on the interior surface of grooves decreases from pristine 8.596 μm to 0.701 μm and 0.336 μm via AAJ polishing and MPJ polishing,respectively,and Sa reduces 92％and 96％,***,a formula defining the relationship between linear energy density and unit defect volume has been *** optimized parameters in additive manufacturing are that linear energy density varies from 0.135 J mm-1 to 0.22 J *** unit area defect volume achieved via the optimized parameters decreases to 1/12 of that achieved via non-optimized *** fluid dynamics simulation results reveal that material is removed by shear stress,and the alumina abrasives experience multiple collisions with the defects on the heat pipe groove,resulting in uniform material *** is in good agreement with the experimental *** novel proposed setups,approach,and findings provide new insights into manufacturing complex-structured components,polishing the small-grooved structure,and keeping it unbroken.

关键词： aluminum alloy abrasive air jet polishing multi-phase jet polishing interior curved surface small-grooved component

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