A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Lu，Jinzhi1; Tsinarakis，George2; Sarantinoudis，Nikolaos2; Arampatzis，George2; Zheng，Xiaochen3; Kiritsis，Dimitris4

2024-04-01

10.1016/j.cie.2024.110042

Computers and Industrial Engineering   影响因子和分区

0360-8352

1879-0550

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be considered. In this paper, a semantic Model-based Systems Engineering (sMBSE) approach is proposed to support the design of the entire metal forming process. A multi-architecture modeling language KARMA is used to develop meta-models and architecture models of the metal forming process from the perspectives of mission, operation, function, logic flow and physical structure. Enabled by customized software, the KARMA models are transformed to ontology models, which are then converted to Petri Net (PN) models. Simulations are conducted based on the PN models to evaluate the operational performance of the created processes. A case study based on a real metal forming scenario is conducted to evaluate the proposed approach using quantitative and qualitative analysis. The result proves that the proposed approach enables to formalize the entire architecture modeling for metal forming process; and to provide an efficient approach for evaluating the operational performance of the designed solution for initial verification.

KARMA language Metal forming process Model-based systems engineering Petri nets Semantic modeling

SCI ; EI

英语

通讯

European Union[H2020-869951]

Computer Science ; Engineering

Computer Science, Interdisciplinary Applications ; Engineering, Industrial

WOS:001204386000001

PERGAMON-ELSEVIER SCIENCE LTD

COMPUTER SCIENCE

2-s2.0-85187553441

Scopus

1.Beihang University,Beijing,100191,China
2.Industrial and Digital Innovations Research Group (INDIGO),Technical University of Crete Campus,Crete,Akrotiri, Chania,73100,Greece
3.Southern University of Science and Technology,Shenzhen,518055,China
4.Swiss Federal Institute of Technology Lausanne (EPFL),Lausanne,CH-1015,Switzerland

Lu，Jinzhi,Tsinarakis，George,Sarantinoudis，Nikolaos,et al. A semantic model-based systems engineering approach for assessing the operational performance of metal forming process[J]. Computers and Industrial Engineering,2024,190.

Lu，Jinzhi,Tsinarakis，George,Sarantinoudis，Nikolaos,Arampatzis，George,Zheng，Xiaochen,&Kiritsis，Dimitris.(2024).A semantic model-based systems engineering approach for assessing the operational performance of metal forming process.Computers and Industrial Engineering,190.

Lu，Jinzhi,et al."A semantic model-based systems engineering approach for assessing the operational performance of metal forming process".Computers and Industrial Engineering 190(2024).