Conceptual digital twin modeling based on an integrated five-dimensional framework and TRIZ function model

被引:90
作者
Wu, Chunlong [1 ,2 ]
Zhou, Youcheng [1 ,3 ]
Pessoa, Marcus Vinicius Pereia [4 ]
Peng, Qingjin [5 ]
Tan, Runhua [1 ]
机构
[1] Hebei Univ Technol, Natl Engn Res Ctr Technol Innovat Method & Tool, Sch Mech Engn, Tianjin 300130, Peoples R China
[2] Tianjin Key Lab Power Transmiss & Safety Technol, Tianjin 300130, Peoples R China
[3] China State Shipbldg Corp Ltd 716th Res Inst, Lianyungang 222061, Peoples R China
[4] Univ Twente, Fac Engn Technol, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands
[5] Univ Manitoba, Dept Mech Engn, Winnipeg, MB R3T 5V6, Canada
关键词
Digital twin; Function modeling; Conceptual modeling; TRIZ; Intelligent vehicle; METHODOLOGY; DESIGN;
D O I
10.1016/j.jmsy.2020.07.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Digital twin represents a fusion of the informational and physical domains, to bridge the material and virtual worlds. Existing methods of digital twin modeling are mainly based on modular representation, which limits guidance of the modeling process. Such methods do not consider the components or operational rules of the digital twin in detail, thereby preventing designers from applying these methods in their fields. With the increasing application of digital twin to various engineering fields, an effective method of modeling a multi-dimensional digital twin at the conceptual level is required. To such an end, this paper presents a method for the conceptual modeling of a digital twin based on a five-dimensional digital twin framework to represent the complex relationship between digital twin objects and their attributes. The proposed method was used to model the digital twin of an intelligent vehicle at the concept level.
引用
收藏
页码:79 / 93
页数:15
相关论文
共 46 条
[1]   Methodology for enabling Digital Twin using advanced physics-based modelling in predictive maintenance [J].
Aivaliotis, P. ;
Georgoulias, K. ;
Arkouli, Z. ;
Makris, S. .
52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS), 2019, 81 :417-422
[2]  
Apriso, 2014, Digital twin: manufacturing excellence through virtual factory replication EB/OL
[3]   Embedded Digital Twin for ARTI-Type Control of Semi-continuous Production Processes [J].
Borangiu, Theodor ;
Oltean, Ecaterina ;
Raileanu, Silviu ;
Anton, Florin ;
Anton, Silvia ;
Iacob, Iulia .
SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE, 2020, 853 :113-133
[4]  
Cao GZ, 2003, J ENG DES, V10, P198
[5]   Building digital twins of 3D printing machines [J].
DebRoy, T. ;
Zhang, W. ;
Turner, J. ;
Babu, S. S. .
SCRIPTA MATERIALIA, 2017, 135 :119-124
[6]  
Ebrahimi A, 2019, PROC IEEE INT SYMP, P1059, DOI [10.1109/isie.2019.8781529, 10.1109/ISIE.2019.8781529]
[7]  
Geng JG, 2019, CIVMILIT INTEGR CYBE, V2, P60
[8]  
Glaessgen E., 2012, P 53 AIAA ASME ASCE, P1818, DOI DOI 10.2514/6.2012-1818
[9]   A digital twin-based approach for the management of geometrical deviations during assembly processes [J].
Gregorio, Jean-Loup ;
Lartigue, Claire ;
Thiebaut, Francois ;
Lebrun, Regis .
JOURNAL OF MANUFACTURING SYSTEMS, 2021, 58 :108-117
[10]   Blockchain-based data management for digital twin of product [J].
Huang, Sihan ;
Wang, Guoxin ;
Yan, Yan ;
Fang, Xiongbing .
JOURNAL OF MANUFACTURING SYSTEMS, 2020, 54 :361-371