Digital twin-driven product design, manufacturing and service with big data

By Fei Tao, Jiangfeng Cheng, Qinglin Qi, Meng Zhang, He Zhang, Fangyuan Sui. The International Journal of Advanced Manufacturing Technology, 2017

2,428 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/1597449a7f64b6bd24639b4deab96c8a8c184177

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In Industrial and Manufacturing Engineering

Citations in the corpus

Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors (2019, background): “Tao and Zhang (2017a) and Tao et al. (2017b) proposed the concept of Digital Twin Shop ﬂoor (DTS) to converge the manufacturing physical world and the virtual world.”
Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020, methodology): “This approach has thus been termed a digital twin, but has also been referred to as a computational mega-model, device shadow, mirrored system, avatar or synchronized virtual prototype [63] , which has seen application in aerospace, product design and increasingly in new ﬁelds [64 , 65] .”
Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings (2019, background): “The main difference between simulation in the design phase and a digital twin is that the latter requires a physical asset and a sensor network, while the former does not [24].”
The ‘Digital Twin’ to enable the vision of precision cardiology (2020, positive): “8 This position paper claims that precision cardiology will be delivered in a synergetic fashion that combines induction, by using statistical models learnt from data, and deduction, through mechanistic modelling and simulation integrating multiscale knowledge and data.”
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications (2019, background): “First of all, our study was not focused on searching among papers framed in specific fields of applications, whilst many reviews on DTs present deep analyses focusing exclusively on the manufacturing domain [16], [37]–[40].”
Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system (2019, background): “Different operations on this reference model along the product life-cycle (Tao et al. 2018) such as composition, decomposition, conversion, and evaluation can be addressed.”
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, methodology): “Through the cyber-physical closed loop, digital twin could achieve the optimization of the whole manufacturing process [9].”
Introducing digital twins to agriculture (2021, methodology): “…2019; Zheng et al., 2019; Tilbury, 2019; Dewitt et al., 2018; Bolton et al., 2018; Dong et al., 2019; Cohen et al., 2019; Tomiyama et al., 2019; Qi and Tao, 2018; Tao et al., 2019; Lu et al., 2020; Raman and Hassanaly, 2019; Yi Wang et al., 2019; Paraf-oros et al., 2019; Pizzolato et al., 2019;…”
Digital twin-driven product design framework (2019, positive): “For example, the concept of digital twin shop-ﬂ oor (DTS) (Tao, Zhang et al. 2017) was proposed, and DTS characteristics, architecture, system composition, operating mechanism, and enabling key technologies are studied in detail (Tao, Cheng et al. 2017).”