Jinzhi Lu

Yangtze University

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i-10 index

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Dimitris Kiritsis

École Polytechnique Fédérale de Lausanne

Xiaochen Zheng

Southern University of Science and Technology

Guoxin Wang

Beijing Institute of Technology

Martin Törngren

KTH Royal Institute of Technology

Jingwei Ma

Huazhong University of Science and Technology

Tiantian Ji

Second Affiliated Hospital of Xi'an Jiaotong University

Xuetao Cao

Chinese Academy of Medical Sciences & Peking Union Medical College

Yi Zhang

Zhengzhou University

Yonghong Wan

McMaster University

Yong Li

Baylor College of Medicine

Cooperative Institutions

Network Technologies (United States)

163

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Huazhong University of Science and Technology

Beijing Institute of Technology

University of Chinese Academy of Sciences

Wuhan University

Yangtze University

Sun Yat-sen University

Shanghai Jiao Tong University

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Bibliometric analysis of model-based systems engineering in advanced manufacturing

Journal of Intelligent Manufacturing and Special Equipment (2024)

Jinzhi Lu Yihui Gong Guoxin Wang Yan Yan

Purpose Model-based systems engineering (MBSE) is an important approach for the transforming process from “document-centered” to “model centered” systems engineering mode in equipment development, which can effectively shorten the equipment development cycle and improve product design quality. This paper aims to understand if MBSE enables to support manufacturing and equipment development. Design/methodology/approach The paper opted a bibliometric analysis of MBSE in domain of advanced manufacturing from different perspectives such as publication volume, research team, sources and keyword co-occurrence. Findings Firstly, the application of MBSE in advanced manufacturing can be roughly divided into three stages. And MBSE has been widely implemented globally and has gradually formed several noteworthy teams. Secondly, this article has identified some high-quality sources, with a large number of publications and citations, the most influential publications focus on the practice or guidance of digital twins and intelligent manufacturing. Thirdly, research can be divided into six categories, including systems engineering, digitalization, intelligent manufacturing, product design, model and architecture and MBSE applications. Research limitations/implications Because of the chosen research approach, the visualized network tends to lose certain information such as a few keywords may be inaccurately categorized. Practical implications This paper comprehensively study the research status of MBSE in advanced manufacturing and forecasts future research trends, emphasizing the combination of intelligent manufacturing and digitization. Originality/value This paper fulfills an identified need to understand the current application status and future development trends of MBSE.

Digitization

10.1108/jimse-02-2024-0004

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Large Language Model-Enable Knowledge Exploration for Automotive Assembly Process Using Ontology

Chao Yang Xiaodu Hu Jinzhi Lu Qiang Cheng

10.2139/ssrn.5149347

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Design Ontology Supporting Model-based Systems-engineering Formalisms

arXiv (Cornell University) (2020)

Jinzhi Lu Junda Ma Xiaochen Zheng Guoxin Wang Dimitris Kiritsis

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalisms of system architectures for supporting model-based requirement elicitation, specification, design, development, testing, fielding, etc. However, the modeling languages and techniques are quite heterogeneous, even within the same enterprise system, which creates difficulties for data interoperability. The discrepancies among data structures and language syntaxes make information exchange among MBSE models even more difficult, resulting in considerable information deviations when connecting data flows across the enterprise. For this reason, this paper presents an ontology based upon graphs, objects, points, properties, roles, and relationships with entensions (GOPPRRE), providing meta models that support the various lifecycle stages of MBSE formalisms. In particular, knowledge-graph models are developed to support unified model representations to further implement ontological data integration based on GOPPRRE throughout the entire lifecycle. The applicability of the MBSE formalism is verified using quantitative and qualitative approaches. Moreover, the GOPPRRE ontologies are generated from the MBSE language formalisms in a domain-specific modeling tool, \textit{MetaGraph} in order to evaluate its availiablity. The results demonstrate that the proposed ontology supports both formal structures and the descriptive logic of the systems engineering lifecycle.

Modeling language

10.48550/arxiv.2010.07627

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CeO 2 Supported NiCo Bimetal Catalyzes Liquid Phase Hydrogenation of Phenol

Jinzhi Lu Zhanwei Ma Xuemei Wei Qin-sheng Zhang Bin Hu

CeO2 nanorods-supported CoNi bimetallic catalysts was prepared by a simple wet chemical impregnation method, and the catalytic activity was tested by the hydrogenation of phenol to cyclohexanol at 150 ℃ under 3 MPa H2. It was found that Ni-Co/r-CeO2(Ni:Co=1:1) catalysts showed higher activity than monometallic catalysts. The formation and dispersion of the NiCo alloy is demonstrated by Transmission electron microscopy (TEM) and X-ray powder diffraction (XRD). Temperature programmed reduction of H2 (H2-TPR) and temperature programmed desorption of CO2 (CO2-TPD) revealed the electronic interaction between the cobalt and nickel in the alloy, which causes the interaction force between the metal and the carrier to change. The formation of NiCo alloy changes the electronic states of Ni and Co was also revealed by X-ray photoelectron spectroscopy (XPS). Combined with the characterization results and phenol conversion, it is shown that the addition of Co modulates the surface properties of the active sites, which in turn affects the catalytic activity of metallic NiCo in the phenol hydrogenation reaction.

Bimetallic strip

Cyclohexanol

Bimetal

Temperature-programmed reduction

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Guest editorial: Preface of special issue advanced manufacturing technologies in aerospace engineering

Journal of Intelligent Manufacturing and Special Equipment (2024)

Wenfeng Ding Yucan Fu Qinglong An Jinzhi Lu Guijian Xiao

In the ever-evolving landscape of aerospace engineering, the pursuit of impeccable component quality and the incorporation of cutting-edge materials have elevated the demand for advanced manufacturing technologies.The challenges posed by these requirements have spurred a crucial shift towards innovative manufacturing processes.This special issue, titled "Advanced Manufacturing Technologies in Aerospace Engineering," to address these challenges has led to the exploration and implementation of an array of advanced manufacturing processes, marking a paradigm shift in aerospace engineering.The eminent guest editors for this special issue bring a wealth of expertise in aerospace manufacturing technologies.

Component (thermodynamics)

Paradigm shift

Emerging Technologies

10.1108/jimse-02-2024-037

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Output Ripple Suppression for LLC Resonant Converter

2022 34th Chinese Control and Decision Conference (CCDC) (2024)

Buhai Shi Jinzhi Lu

Resonant converter

10.1109/ccdc62350.2024.10587529

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The emergence of cognitive digital twin: vision, challenges and opportunities

International Journal of Production Research (2021)

Xiaochen Zheng Jinzhi Lu Dimitris Kiritsis

As a key enabling technology of Industry 4.0, Digital Twin (DT) has been widely applied to various industrial domains covering different lifecycle phases of products and systems. To fully realize the Industry 4.0 vision, it is necessary to integrate multiple relevant DTs of a system according to a specific mission. This requires integrating all available data, information and knowledge related to the system across its entire lifecycle. It is a challenging task due to the high complexity of modern industrial systems. Semantic technologies such as ontology and knowledge graphs provide potential solutions by empowering DTs with augmented cognitive capabilities. The Cognitive Digital Twin (CDT) concept has been recently proposed which reveals a promising evolution of the current DT concept towards a more intelligent, comprehensive, and full lifecycle representation of complex systems. This paper reviews existing studies relevant to the CDT concept, and further explores its definitions and key features. To facilitate CDT development, a reference architecture is proposed based on the RAMI4.0 and some other existing architectures. Moreover, some key enabling technologies and several application scenarios of CDT are introduced. The challenges and opportunities are discussed in the end to boost future studies.

Representation

10.1080/00207543.2021.2014591

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Citations (235)

Supplementary Figure S2 from Cell-free Tumor Microparticle Vaccines Stimulate Dendritic Cells via cGAS/STING Signaling

Yi Zhang Ke Tang Yi Zhang Ruihua Ma Jingwei Ma

<p>Tumor cells-derived microparticles were efficiently taken up by DCs, resulting in T cells proliferation.</p>

Sting

Microparticle

10.1158/2326-6066.22538207

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