Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin

Liu, Jinfeng; Zhou, Honggen; Liu, Xiaojun; Tian, Guizhong; Wu, Mingyang; Cao, Liping; Wang, Wei

doi:10.1109/access.2019.2893309

Cited by 120 publications

(42 citation statements)

References 30 publications

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“…For example, Model-Based Process Control (MBPC), virtual metrology, virtual sensing, sensor fusion, and model-based PdM are technologies commonly used in manufacturing today that align with most of the DT properties listed above to achieve an objective such as increase availability and efficiency of equipment, extend useful life, and reduce life cycle cost [26], [27], [28], [11], [29], [30]. DTs are used today in many industrial areas such as product design, production, and health monitoring [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41]. A summary review of many of these efforts is provided in [19].…”

Section: B Dt Uses Today and Current Trendsmentioning

confidence: 99%

A Requirements Driven Digital Twin Framework: Specification and Opportunities

et al. 2020

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Among the tenets of Smart Manufacturing (SM) or Industry 4.0 (I4.0), digital twin (DT), which represents the capabilities of virtual representations of components and systems, has been cited as the biggest technology trend disrupting engineering and design today. DTs have been in use for years in areas such as model-based process control and predictive maintenance, however moving forward a framework is needed that will support the expected pervasiveness of DT technology in the evolution of SM or I4.0. A set of requirements for a DT framework has been derived from analysis of DT definitions, DTs in use today, expected DT applications in the near future, and longer-term DT trends and the DT vision in SM. These requirements include elements of re-usability, interoperability, interchangeability, maintainability, extensibility, and autonomy across the entire DT lifecycle. A baseline framework for DT technology has been developed that addresses many aspects of these requirements and enables the addressing of the requirements more fully through additional specification. The baseline framework includes a definition of a DT and an object-oriented (O-O) architecture for DTs that defines generalization, aggregation and instantiation of DT classes. Case studies using and extending the baseline framework illustrate its advantages in supporting DT solutions and trends in SM.

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Section: B Dt Uses Today and Current Trendsmentioning

confidence: 99%

A Requirements Driven Digital Twin Framework: Specification and Opportunities

et al. 2020

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“…Digital twin is considered to be the key technology in the future and has been widely concerned [15][16][17][18]. By digital twin, the virtual model of physical entity is created in a digital way and the behavior of physical entity is simulated by means of data.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin

et al. 2020

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As a major challenge and opportunity for traditional manufacturing, intelligent manufacturing is facing the needs of sustainable development in future. Sustainability assessment undoubtedly plays a pivotal role for future development of intelligent manufacturing. Aiming at this, the paper presents the digital twin driven information architecture of sustainability assessment oriented for dynamic evolution under the whole life cycle based on the classic digital twin mapping system. The sustainability assessment method segment of the architecture includes indicator system building, indicator value determination, indicator importance degree determination and intelligent manufacturing project assessing. A novel approach for treating the ambiguity of expert' judgment in indicator value determination by introducing trapezoidal fuzzy number into analytic hierarchy process is proposed, while the complexity of the influence relationship among the indicators is processed by the integration of complex networks modeling and PROMETHEE II for the indicator importance degree determination. A two-stage evidence combination model based on evidence theory is built for intelligent manufacturing project assessing lastly. The presented digital-twin-driven information architecture and the sustainability assessment method is tested and validated on a study of sustainability assessment of 8 intelligent manufacturing projects of an air conditioning enterprise. The results of the presented method were validated by comparing them with the results of the fuzzy and rough extension of the PROMETHEE II, TOPSIS and VIKOR methods, indicator importance degree determining method by entropy and indicator value determining method by accurate expert scoring.

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“…Intelligent manufacturing, as the development trend of manufacturing industry in future, has received extensive attention [5][6]. Furthermore, digital twin (DT) technology has been widely studied in academia in recent year since it is an effective way for manufacturing enterprises to realize intelligent manufacturing [7][8]. Manufacturing industry itself is facing the rapid development of technology and tools.…”

Section: Introductionmentioning

confidence: 99%

A Differential Game-Based Approach for School-Enterprise Collaborative R&D Strategy on Digital Twin Technology

Guo¹,

Zhang²,

Ren³

et al. 2020

IEEE Access

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Digital twin (DT) technology is an effective way to realize intelligent manufacturing, which has been increasingly received attention in both academia and industry. Thus, it is rather necessary and significant to collaboratively accomplish the research and development (R&D) of DT technology (RDDT). To explore a school-enterprise collaborative R&D strategy on DT technology, this paper proposes a differential game-based approach to compute the optimal R&D effort levels and optimal incomes of both parties in the school-enterprise collaborative innovation (SECI) system. First, using Berman's continuous dynamic programming theory, the optimal R&D effort levels, the optimal incomes of both parties, and total optimal income in the SECI system are calculated in three cases: Nash non-cooperative game, Stackelberg master-slave game and cooperative game. Second, the equilibria of the three game cases are analyzed and compared. Finally, a numerical example is used to verify the validity of the conclusion, and we find that the optimal benefit of two parties in cooperative game are significantly better than those of Nash non-cooperative game and Stackelberg master-slave game, which effectively demonstrates the superiority of school-enterprise collaborative R&D on DT technology. INDEX TERMS School-enterprise collaborative, collaborative research and development strategy, digital twin technology, game theory, differential game

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Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin

Cited by 120 publications

References 30 publications

A Requirements Driven Digital Twin Framework: Specification and Opportunities

A Requirements Driven Digital Twin Framework: Specification and Opportunities

Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin

A Differential Game-Based Approach for School-Enterprise Collaborative R&D Strategy on Digital Twin Technology

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