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Dynamic design method of digital twin process model driven by knowledge-evolution machining features

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2022年第7期60卷 2312-2330页

作者： Liu, Jinfeng zhao, Peng Jing, xuwen Cao, Xuwu Sheng, Sushan Zhou, Honggen Liu, Xiaojun Feng, Feng Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212003 Jiangsu Peoples R China Southeast Univ Sch Mech Engn Nanjing Peoples R China Shaanxi Diesel Engine Heavy Ind Co Ltd Xingping Peoples R China

Machining plan is the core of guiding manufacturing production and is regarded as one of the keys to ensure the quality of product processing. Existing process design methods are inefficient to quickly handle the machining plan changed induced by the unpredictable events in real-time production. It inevitably causes time and economic losses for the enterprise. In order to express the evolutionary characteristics of product processing, the construction method of digital twin process model (DTPM) is proposed based on the knowledge-evolution machining features. Three key technologies include correlation structure of process knowledge, expression method of the evolution geometric features and the association mechanism between two are solved. On this basis, the construction framework of DTPM is illustrated. Then, the organisation and management mechanism of multi-source heterogeneous data is discussed in detail. At last, a case study of the complex machined part is researched, the results show that the processing time reduced by about 7% and the processing stability improved by 40%. Meanwhile, the implementation scheme, application process and effect of this case are described in detail to provide reference for enterprises.

关键词： Digital twin process knowledge machining features dynamic evolution

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Finite element analysis of corn kernel damage: a viscoelastic model approach for impact-induced damage prediction

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JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2025年第7期105卷 3993-4004页

作者： zhao, Xuelin Zhang, Qiang Fang, xuwen Zhang, Jinsong Feng, Weijing Zhang, Li Zhou, Deyi Yu, Chunsheng Wang, Hao Gao, Xiaodi Zhou, Haigen Wu, Xinling Jilin Univ Coll Biol & Agr Engn Changchun 130022 Peoples R China

BACKGROUNDIn the present study, we address the quality degradation of corn during post-harvest processing by developing a viscoelastic composite model to predict kernel damage during post-harvest processing. The model, based on high-resolution scanning and inverse modeling techniques, provides an accurate representation of the complex internal components of corn kernels, which allows for the analysis of their stress response and damage susceptibility trends under different impact *** results show that the viscoelastic model has a relative error of 2.4% compared to the drop test data, thus demonstrating that the viscoelastic model has a very high accuracy in predicting impact damage and is able to accurately localize the flour-like endosperm as the main region of impact damage. The model showed a high correlation (0.99) between predicted and experimental damage rates by response surface *** damage during processing is reduced by reducing the proportion of flour-like endosperm in maize kernels. A new method for reducing damage during food handling and processing operations is proposed, providing an important reference for improving kernel durability and contributing to the development of gentler processing techniques to improve the quality of maize products. (c) 2025 Society of Chemical Industry.

关键词： viscoelastic composite model collision damage finite element method burgers model high moisture corn kernel

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Characterization of thermal neutron distribution of an Am-Be neutron source setup by CdZnTe detector

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APPLIED RADIATION AND ISOTOPES 2023年 196卷 110778页

作者： Liang, xuwen zhao, Dong Jia, Wenbao Hei, Daqian Cheng, Can Nanjing Univ Aeronaut & Astronaut Dept Nucl Sci & Technol Nanjing Peoples R China Jiangsu Higher Educ Inst Collaborat Innovat Ctr Radiat Med Suzhou 215000 Peoples R China Lanzhou Univ Sch Nucl Sci & Technol Lanzhou 730000 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Astronaut Nanjing 211106 Peoples R China

Owing to the developments in prompt gamma neutron activation analysis (PGNAA) and prompt gamma ray activation imaging (PGAI), it is necessary to develop an online thermal neutron distribution measurement method. The CdZnTe detector is considered as an alternative thermal neutron detector because of its high thermal neutron capture cross section. In this study, the thermal neutron field of an 241Am-Be neutron source was determined by CdZnTe detector. The intrinsic neutron detection efficiency of CdZnTe detector was calcu-lated by using indium foil activation, and the value was 3.65%. Then the characteristics of neutron source were conducted with the calibrated CdZnTe detector. The thermal neutron fluxes in front of beam port were measured at several distances ranging from 0 cm up to 28 cm. Thermal neutron field at distances of 1 cm and 5 cm were also measured. The experimental data were then compared with Monte Carlo simulation. The results demon-strated that the simulated data agree well with experimental measurements.

关键词： CdZnTe detector Monte Carlo simulation Am -Be neutron source Activation method Thermal neutron flux

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Intelligent rush repair of unmanned distribution network based on deep reinforcement learning 18

Intelligent rush repair of unmanned distribution network bas...

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18th IEEE International Conference on Mobility, Sensing and Networking (MSN)

作者： zhao, Yue Chuan, Yang Pu, Shi Han, xuwen Xia, Shiyu Xie, Yanqi Yangzhou Power Supply Branch State Grid Jiangsu E Yangzhou Jiangsu Peoples R China Xiamen Univ Technol Xiamen Peoples R China

ISBN: (纸本)9781665464574

With the continuous expansion of China's power grid scale and the increasing number of power users year by year, it is necessary to ensure the normal power supply of users. When a power failure occurs, it is particularly critical whether the emergency repair task can be completed quickly and scientifically. In this paper, an intelligent repair model of "unmanned" distribution network based on deep reinforcement learning is proposed, which adopts speech recognition technology and deep reinforcement learning algorithm to achieve the "unmanned" of the whole system. Users can transmit the emergency repair information to the voice recognition module of the power supply emergency repair center by voice, SMS and IMS, and the module will get the emergency repair position and the amount of emergency repair tasks. Then, the resource allocation module is used to learn the emergency repair resource allocation strategy online, and the intelligent control of emergency repair in distribution network is realized. To verify the proposed algorithm, it is compared with two typical allocation strategies under the same settings. The results of the experiments demonstrate that the method based on deep reinforcement learning performs better in terms of emergency repair delay and intelligent emergency repair of the power supply in distribution networks.

关键词： failure Speech recognition Emergency maintenance Neural network Deep reinforcement learning

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Optimal Clearing Model of Centralized Market Considering Path Constraints 1

Optimal Clearing Model of Centralized Market Considering Pat...

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International Symposium on Energy Environment and Green Development (EEGD)

作者： Zheng, zhao Chen, Kening Jiang, Yu Liu, xuwen State Grid Energy Res Inst Beijing Peoples R China State Grid JiangSu Elect Power Co Ltd Nanjing Jiangsu Peoples R China

China's electricity market is now still in the mode of "Unified market and two-tier operation" including provincial and inter-provincial market. The inter-provincial market is divided into the medium and long-term market and spot market. This study takes the inter provincial spot market as the research object, and proposes a unified optimization clearing algorithm for inter provincial spot market considering path constraints. The proposed method is able to handle AC-DC hybrid electricity network, and sort and determine the trading pairs using power flow tracing algorithm. The power market software PLEXOS and practical market data are used to simulate the proposed model, and the results show the accuracy and effectiveness.

关键词： Power markets

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Multifunctional ORF3 protein of hepatitis E virus

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JOURNAL OF MEDICAL VIROLOGY 2024年第6期96卷 e29691-e29691页

作者： Li, Xiaoxuan Sun, xuwen Pinpin, Ji zhao, Qin Sun, Yani Northwest Agr & Forestry Univ Coll Vet Med Dept Prevent Vet Med Yangling Shaanxi Peoples R China

Hepatitis E virus (HEV) is an emerging zoonotic pathogen that is transmitted primarily through the fecal-oral route and can cause acute hepatitis in humans. Since HEV was identified as a zoonotic pathogen, different species of HEV strains have been globally identified from various hosts, leading to an expanding range of hosts. The HEV genome consists of a 5' noncoding region, three open reading frames (ORFs), and a 3' noncoding region. The ORF3 protein is the smallest but has many functions in HEV release and pathogenesis. In this review, we systematically summarize recent progress in understanding the functions of the HEV ORF3 protein in virion release, biogenesis of quasi-enveloped viruses, antigenicity, and host environmental regulation. This review will help us to understand HEV replication and pathogenesis mechanisms better.

关键词： hepatitis E innate immunity ORF3 protein quasi-enveloped virion

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Design of Intelligent Logistics System Based on JIT Material Distribution Plan

Design of Intelligent Logistics System Based on JIT Material...

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The 2018 International Conference on Transportation & Logistics,Information & Communication,Smart City(TLICSC 2018)

作者： Yunrui Wang Zhengli Wu xuwen zhao School of Mechanical Engineering Xi'an University of Science and Technology

ISBN: (纸本)9781510876996

With increasingly high demands of personalized requirements and delivery time of customers,material distribution must be on time with guaranteeing the *** became one of the most critical technologies for companies to achieve the intelligent *** at the issues which is large batch size and serious accumulation in the material distribution of a specific enterprise,PCBA board was chosen as the research object in this *** analyzing the process of material distribution,the economic distribution batch model and the distribution kanban model were set ***,the ANDON system has been designed and a just-in-time distribution system for materials was eventually *** system greatly reduces material distribution personals and time,which saves distribution expenditures and combines this system with the currently used MES system by the company to achieve the cooperative control of plan and materials,thus providing guarantee for intelligent logistics *** present,this system has been used in enterprises,making good advancement.

关键词： Intelligent logistics JIT material distribution economic distribution batch distribution Kanban ANDON system

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A Methionine Allocation Nanoregulator for the Suppression of Cancer Stem Cells and Support to the Immune Cells by Epigenetic Regulation

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ADVANCED SCIENCE 2025年第15期12卷 e2415207页

作者： Su, Boyu Chen, Qinjun Li, xuwen Fang, Mingzhu Wang, Yu Song, Haolin You, Haoyu Zhou, Zheng Wu, Yuxing zhao, Zhenhao Chen, Yun Fan, Hongrui Li, Chufeng Jiang, Chen Sun, Tao Fudan Univ State Key Lab Med Neurobiol Sch Pharm Dept PharmaceutKey Lab Smart Drug DeliveryMinist Shanghai 201203 Peoples R China MOE Frontiers Ctr Brain Sci Shanghai 201203 Peoples R China Fujian Med Univ Affiliated Hosp 1 Natl Reg Med Ctr Dept Digest Dis Binhai Campus Fuzhou 350212 Peoples R China Quzhou Fudan Inst Quzhou 324003 Peoples R China

Epigenetic dysregulation is prevalent in human cancers, affecting gene expression and metabolic patterns to meet the demands of malignant evolution and abnormal epigenetic processes, and resulting in a protumor immune microenvironment. Tumors require a steady supply of methionine for maintaining epigenetic flexibility, which is the only exogenous precursor of methyl donor S-adenosylmethionine for methylation, crucial for their resistance to therapies and survival in a nutrient-deficient microenvironment. Thus, tumor cells upregulate the Lat4 transporter to compete and deprive methionine in the microenvironment, sustaining their malignant phenotypes and also impairing immune cell functions. Addressing this methionine addiction is the key to overcoming drug resistance and improving immune response. Despite the challenge of lacking specific Lat4 inhibitors, an oxaliplatin prodrug crosslinked fluorinated polycation/anti-Lat4 small interfering RNA complex nanoregulator (AS-F-NP) has been designed and developed here. This nanoregulator restricted the greedy methionine uptake of tumor cells by knocking down Lat4, which in turn inhibited the malignant evolution of the tumor while restoring the viability and function of tumor-infiltrating immune cells.

关键词： cancer therapy epigenetic immune methionine oxaliplatin siRNA

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A general method for instantaneous undeformed chip thickness calculation in five-axis milling based on Boolean operations

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2021年第7-8期116卷 2325-2334页

作者： Li, Guochao Liu, Yunlong zhao, Donghao Dai, Lei Zhou, Honggen Jing, xuwen Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212003 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Jiangsu Prov Key Lab Adv Mfg Marine Mech Equipmen Zhenjiang 212003 Jiangsu Peoples R China

Instantaneous undeformed chip thickness (IUCT) plays a critical role in optimizing and monitoring of five-axis milling processes, as it determines machining precision and tool life by affecting cutting forces. Analytical and numerical methods have been widely used for IUCT calculation. However, these methods have some deficiencies, such as solving the unsolvable transcendental equations, modeling the complex cutting edge trajectory, and poor adaptability for five-axis milling. Therefore, a Boolean method which consists of subtraction and intersection operations is developed. First, the blank for the current cutting edge is obtained by the Boolean subtraction operation between the workpiece and the swept volume that produced by the front cutting edges. Second, the Boolean intersection operation is executed between the blank and the auxiliary edge entity (AEE) that corresponding to the tool edge. Then, the IUCT of each cutting edge or each cutting point can be deduced based on the Boolean result with the known blank geometry, tool geometry, tool path, and machining parameters. The method is verified by milling force experiments. It is an efficient, accurate, and general method because it does not need to establish complex mathematical or numerical models. The calculated IUCT will promote the optimizing and monitoring of five-axis milling processes.

关键词： Chip thickness Boolean operation Five-axis milling Milling force

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Probing the Interfacial Forces and Surface Interaction Mechanisms in Petroleum Production Processes

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Engineering 2022年第11期18卷 49-61页

作者： Diling Yang xuwen Peng Qiongyao Peng Tao Wang Chenyu Qiao Ziqian zhao Lu Gong Yueliang Liu Hao Zhang Hongbo Zeng Department of Chemical and Materials Engineering University of AlbertaEdmontonAB T6G 1H9Canada College of Petroleum Engineering China University of PetroleumBeijing 102249China

Despite the advances that have been made in renewable energy over the past decade,crude oil or petroleum remains one of the most important energy resources to the *** production presents many challenging issues,such as the destabilization of complex oil-water emulsions,fouling phenomena on pipelines and other facilities,and water *** problems are influenced by the molecular forces at the oil/water/solid/gas interfaces involved in relevant ***,we present an overview of recent advances on probing the interfacial forces in several petroleum production processes(e.g.,bitumen extraction,emulsion stabilization and destabilization,fouling and antifouling phenomena,and water treatment)by applying nanomechanical measurement technologies such as a surface forces apparatus(SFA)and an atomic force microscope(AFM).The interaction forces between bitumen and mineral solids or air bubbles in the surrounding fluid media determine the bitumen liberation and flotation efficiency in oil sands *** stability of complex oil/water emulsions is governed by the forces between emulsion drops and particularly between interface-active species(e.g.,asphaltenes).Various oil components(e.g.,asphaltenes)and emulsion drops interact with different substrate surfaces(e.g.,pipelines or membranes),influencing fouling phenomena,oil-water separation,and wastewater *** these intermolecular and interfacial forces has advanced the mechanistic understanding of these interfacial interactions,facilitating the development of advanced materials and technologies to solve relevant challenging issues and improve petroleum production *** challenges and suggestions on future research directions in the field are also presented.

关键词： Intermolecular and surface forces Interface Emulsion Colloids Fouling and antifouling Water treatment

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