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Preferential adsorption control: Ca-based LDO for regenerating used lubricating oil

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Modeling Method of Multi-Energy Systems Based on LSTM Algorithm

Progress in Natural Science:Materials International 2024年第1期34卷 155-161页

作者： Xiao-lei Zhang Jian-zhong Wu Yun Liu Zai-wu Zhang Chao Hu Yong-sheng Lu School of Environmental and Chemical Engineering Shanghai University shanghai Chengtou Wastewater Treatment co. LTD shanghai Shangsheng Ecological Engineering co. Ltd. Shencai technology co. Ltd

Different Ca-based layered double oxides（LDO） were applied in the removal of contaminants in used lubricating oil as an alternative decolorant. CaAl-LDO and CaFeAl-LDO achieved much greater decoloration efficiency than the traditional decolorants, where 0.93 and 0.91 of the decoloration efficiency under the optimum conditions were obtained, respectively. The decoloration activity with CaFeAl-LDO > CaAl-LDO >> CaFe-LDO was revealed by both Density Functional Theory（DFT） calculations and experimental analysis. Ca12Al14O33was shown to be the active component for decoloration. Fe3+doped into CaAl-LDO could improve decoloration activity via a changed charge distribution of decolorant. High preferential adsorption activity, which originated from different charge distribution for contaminants instead of the oil components, contributed to outstanding decoloration performance. The activity depended on the adsorption intensity of contaminants, where the most of the active decolorant neither too strongly or weakly bound with the contaminants. The results of this study suggested the Cabased LDOs could be a potentially alternative decolorants for regenerating the used lubricating oil.

关键词： Used lubrication oil Adsorption Ca-LDO Decoloration DFT calculation

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1701-1709页

作者： Di Qiu Fei Chen Dong Liu Min Cao Siyang Liu shanghai Jiao Tong University Shanghai 200240China Yunnan Power Grid co. Ltd

The development of the Energy Internet has improved the efficiency of energy utilization and promoted sustainable development of power and energy *** multi-energy system modeling considering the dynamic process of transmission line is one of the key research points of Energy Internet operation *** the energy circuit theory,the lumped parameter model of natural gas pipelines is built and the dynamic characteristic parameters under the control instruction are *** with dynamic characteristic parameters,the long short-term memory(LSTM)neural network is designed to fit the natural gas pipeline dynamic process into discrete linear time-varying(LTV)*** with the equations,an energy hub method is used to build a control model of industrial parks with multi-energy distribution *** the rolling optimal control strategy given in this paper,the model is solved by the Matlab-Yalmip solver and rolling control instructions of each energy conversion unit are ***,the case study demonstrates that the LSTM neural network-based modeling method presented in this paper can accurately fit the dynamic process of a natural gas pipeline *** rolling control model of the multi-energy system can improve the efficiency of energy utilization,exhibit the transmission line status constraints during the optimization control process and improve reliability of the multi-energy system operation.

关键词： Energy hub LSTM multi-energy supply system pipeline system modeling

Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 213-227页

作者： Changhui Liu Jing Wang Ying Zheng Ke Jin Jianbo Yu Jianfeng Liu School of Mechanical Engineering Tongji UniversityShanghai 201804China shanghai Jiaotong University Shanghai 200240China shanghai Waigaoqiao Shipbuilding co. Ltd.Shanghai 200137China

There are lots of researches on fixture layout optimization for large thin-walled *** researches focus on the positioning problem,i.e.,optimizing the positions of a constant number of ***,how to determine the number of fixtures is *** most cases,the number of fixtures located on large thin-walled parts is determined based on engineering experience,which leads to huge fixture number and extra ***,this paper constructs an optimization model to minimize the number of *** constraints are set in the optimization model to ensure that the part deformation is within the surface profile *** addition,the assembly gap between two parts is also *** conduct the optimization,this paper develops an improved particle swarm optimization(IPSO)algorithm by integrating the shrinkage factor and adaptive inertia *** the algorithm,particles are encoded according to the fixture *** dimension of the particle is assigned to a sub-region by constraining the optional position range of each fixture to improve the optimization ***,a case study on ship curved panel assembly is provided to prove that our method can optimize the number of fixtures while meeting the assembly quality *** research proposes a method to optimize the number of fixtures,which can reduce the number of fixtures and achieve deformation control at the same time.

关键词： Assembly quality Large thin-walled parts Fixture layout PSO FEM

development of Fixture Layout Optimization for Thin-Walled Parts:A Review

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Chinese Journal of Mechanical Engineering 2024年第1期37卷 15-39页

作者： Changhui Liu Jing Wang Binghai Zhou Jianbo Yu Ying Zheng Jianfeng Liu School of Mechanical Engineering Tongji UniversityShanghai 201804China shanghai Jiaotong University Shanghai 200240China shanghai Waigaoqiao Shipbuilding co. Ltd.Shanghai 200137China

An increasing number of researchers have researched fixture layout optimization for thin-walled part assembly during the past ***,few papers systematically review these *** analyzing existing literature,this paper summarizes the process of fixture layout optimization and the methods *** process of optimization is made up of optimization objective setting,assembly variation/deformation modeling,and fixture layout *** paper makes a review of the fixture layout for thin-walled parts according to these three ***,two different kinds of optimization objectives are *** usually consider in-plane variations or out-of-plane deformations when designing ***,modeling methods for assembly variation and deformation are divided into two categories:Mechanism-based and data-based *** common methods are discussed *** that,optimization algorithms are reviewed *** are two kinds of optimization algorithms:Traditional nonlinear programming and heuristic ***,discussions on the current situation are *** research direction of fixture layout optimization in the future is discussed from three aspects:Objective setting,improving modeling accuracy and optimization ***,a new research point for fixture layout optimization is *** paper systematically reviews the research on fixture layout optimization for thin-walled parts,and provides a reference for future research in this field.

关键词： Thin-walled parts Assembly quality Fixture layout optimization Modeling methods Optimization algorithms

Automated identification of steel weld defects,a convolutional neural network improved machine learning approach

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Frontiers of Structural and Civil Engineering 2024年第2期18卷 294-308页

作者： Zhan SHU Ao WU Yuning SI Hanlin DONG Dejiang WANG Yifan LI School of Mechanics and Engineering Science Shanghai UniversityShanghai 200444China School of Civil Engineering Shanghai Normal UniversityShanghai 201418China shanghai PinlanData technology co. Ltd.Shanghai 200072China

This paper proposes a machine-learning-based methodology to automatically classify different types of steel weld defects,including lack of the fusion,porosity,slag inclusion,and the qualified(no defects)*** methodology solves the shortcomings of existing detection methods,such as expensive equipment,complicated operation and inability to detect internal *** study first collected percussed data from welded steel members with or without weld ***,three methods,the Mel frequency cepstral coefficients,short-time Fourier transform(STFT),and continuous wavelet transform were implemented and compared to explore the most appropriate features for classification of weld *** and convolutional neural network-enhanced algorithms were used to classify,the extracted ***,experiments were designed and performed to validate the proposed *** showed that STFT achieved higher accuracies(up to 96.63%on average)in the weld status *** convolutional neural network-enhanced support vector machine(SVM)outperformed six other algorithms with an average accuracy of 95.8%.In addition,random forest and SVM were efficient approaches with a balanced trade-off between the accuracies and the computational efforts.

关键词： steel weld machine learning convolutional neural network weld defect detection classification task percussion

Influence of the Acoustic Liner in Large Eddy Simulation of Longitudinal Thermoacoustic Instability in a Model Annular combustor

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Journal of Thermal Science 2024年第2期33卷 710-724页

作者： MENG Sheng ZHANG Man GAO Yi AECC commercial Aircraft Engine co. Ltd.Shanghai200241China School of Aeronautics and Astronautics Shanghai Jiao Tong UniversityShanghai200240China

Although extensive efforts have been made to dampen the thermoacoustic instability,successfully controlling the pressure oscillations in modern gas turbines or aeroengines remains *** influence of the acoustic liner on the longitudinal thermoacoustic mode in a model annular combustor is investigated by Large Eddy Simulation(LES) in this *** result of the self-excited longitudinal thermoacoustic instability without the liner agrees well with the frequency and acoustic analysis of the pressure mode based on experimental *** different bias flow velocities of the liner located downstream of the combustor are then *** results reveal that the existence of the liner influences not only the acoustic field but also the flow *** the bias velocity is large,it leads to intense turbulence-induced fluctuations,and the pressure oscillation is modulated *** shows that the weak coupling between flow and pressure oscillations plays a significant role in the onset of the intermittency of a thermoacoustic *** on the dynamic analysis of the thermoacoustic system with the acoustic liner,this intermittency is caused by the influence of the flow field on the flame-acoustic ***,a low-order modeling method based on Van der Pol(VdP) oscillator with additive stochastic forcing is conducted to reproduce the evolving dynamics of the thermoacoustic *** the numerical cases demonstrated in this work are relatively simpler than those in a practical combustion system,the results are helpful for us to understand the effect of the acoustic liner and show the attractive potential to apply this device to suppress thermoacoustic instability.

关键词： thermoacoustic instability acoustic liner Large Eddy Simulation low-order modeling

Research on condenser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

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computer Modeling in Engineering & Sciences 2024年第4期139卷 679-698页

作者： Hong Qian Haixin Wang Guangji Wang Qingyun Yan college of Automation Engineering Shanghai University of Electric PowerShanghai200090China shanghai Key Laboratory of Power Station Automation technology Shanghai200072China Empower Information technology(shanghai)co. Ltd.Shanghai201508China China Nuclear Power Engineering Design co. Ltd.Shenzhen518052China

This study presents a proposed method for assessing the condition and predicting the future status of condensers operating in seawater over an extended *** aim is to address the problems of scaling and corrosion,which lead to increased loss of cold *** method involves utilising a set of multivariate feature parameters associated with the condenser as input for evaluation and trend *** methodology offers a precise means of determining the optimal timing for condenser cleaning,with the ultimate goal of improving its overall *** proposed approach involves the integration of the analytic network process with subjective expert experience and the entropy weightmethod with objective big data analysis to develop a fusion health *** mathematical model is constructed quantitatively using the improved Mahalanobis ***,a comprehensive prediction model is developed by integrating the improved Informer model and Markov error *** model takes into account the health status of the equipment and several influencing factors,includingmultivariate feature *** model facilitates the objective examination and prediction of the progression of equipment deterioration *** present study involves the computation and verification of the field time series data,which serves to demonstrate the accuracy of the condenser health-related models proposed in this *** models effectively depict the real condition and temporal variations of the equipment,thus offering a valuable method for determining the precise cleaning time required for the condenser.

关键词： condenser health degree improved Mahalanobis distance GC-Informer model Markov error correction

Reversible Mn^(2+)/Mn^(4+)double-electron redox in P3-type layer-structured sodium-ion cathode

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Journal of Energy Chemistry 2024年第2期89卷 79-88,I0004页

作者： Jie Zeng Jian Bao Ya Zhang Xun-Lu Li Cui Ma Rui-Jie Luo Chong-Yu Du Xuan Xu Zhe Mei Zhe Qian Yong-Ning Zhou Department of Materials Science Fudan UniversityShanghai 200433China shanghai Xuanyi New Energy development co. LtdShanghai 201800China Global Institute of Future technology Shanghai Jiao Tong UniversityShanghai 200240China

The balance between cationic redox and oxygen redox in layer-structured cathode materials is an important issue for sodium batteries to obtain high energy density and considerable cycle *** redox can contribute extra capacity to increase energy density,but results in lattice instability and capacity fading caused by lattice oxygen gliding and oxygen *** this work,reversible Mn^(2+)/Mn^(4+)redox is realized in a P3-Na_(0.65)Li_(0.2)co_(0.05)Mn_(0.75)O_(2)cathode material with high specific capacity and structure stability via co *** contribution of oxygen redox is suppressed significantly by reversible Mn^(2+)/Mn^(4+)redox without sacrificing capacity,thus reducing lattice oxygen release and improving the structure *** X-ray techniques reveal that P3 phase is well maintained in a wide voltage window of 1.5-4.5 V ***^(+)/Na even at 10 C and after long-term *** is disclosed that charge compensation from co/Mn-ions contributes to the voltage region below 4.2 V and O-ions contribute to the whole voltage *** synergistic contributions of Mn^(2+)/Mn^(4+),co^(2+)/co^(3+),and O^(2-)/(O_n)^(2-)redox in P3-Na_(0.65)Li_(0.2)co_(0.05)Mn_(0.75)O_(2)lead to a high reversible capacity of 215.0 m A h g^(-1)at 0.1 C with considerable cycle *** strategy opens up new opportunities for the design of high capacity cathode materials for rechargeable batteries.

关键词： Sodium batteries Cathode materials Layered structure co substitution

EMPSI:Efficient multiparty private set intersection(with cardinality)

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Frontiers of computer Science 2024年第1期18卷 199-213页

作者： Yunbo YANG Xiaolei DONG Zhenfu CAO Jiachen SHEN Ruofan LI Yihao YANG Shangmin DOU shanghai Key Laboratory of Trustworthy computing East China Normal UniversityShanghai 200062China Kunyao Academy of shanghai Kunyao Network technology co. Ltd.Shanghai 201203China PwC US Advisory shanghai AC Shanghai 200233China

Multiparty private set intersection(PSI)allows several parties,each holding a set of elements,to jointly compute the intersection without leaking any additional *** the development of cloud computing,PSI has a wide range of applications in privacy ***,it is complex to build an efficient and reliable scheme to protect user *** address this issue,we propose EMPSI,an efficient PSI(with cardinality)protocol in a multiparty *** avoids using heavy cryptographic primitives(mainly rely on symmetric-key encryption)to achieve better *** addition,both PSI and PSI with the cardinality of EMPSI are secure against semi-honest adversaries and allow any number of colluding clients(at least one honest client).We also do experiments to compare EMPSI with some state-of-the-art *** experimental results show that proposed EMPSI(-CA)has better performance and is scalable in the number of clients and the set size.

关键词： intersection cardinal primitive