About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Rosen, Roland; Wichert, Georg von; Lo, George; Bettenhausen, Kurt Dirk

doi:10.1016/j.ifacol.2015.06.141

Cited by 1,055 publications

(484 citation statements)

References 2 publications

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“…In contrast to that, the idea of building a twin refers to producing a copy of a part or product and using it for reasoning about other instances of the same part or product -thus establishing a relation between multiple copies. This idea is said to originate from NASA's Apollo program, "where at least two identical space vehicles were built to allow mirroring the conditions of the space vehicle during the mission" [5]. However, over the past decades, advancements in computer technology enabled establishing increasingly sophisticated virtual models of physical artefacts as well as the fusion of such models for systems engineering [6].…”

Section: The Origin and Evolution Of The Digital Twinmentioning

confidence: 99%

“…In this context, it has been argued, that "from a simulation point of view the digital twin approach is the next wave in modelling, simulation and optimization technology" [5]. However, the digital twin is not one complete model of the physical product, but a set of linked operation data artefacts and simulation models, which are of suitable granularity for their intended purpose and evolve throughout the product lifecycle [4].…”

Section: Viewpoints On the Digital Twinmentioning

confidence: 99%

“…Thus, the digital twin not only serves representation purposes but is also applicable for making predictions about the expected product behaviour [4], while the granularity of the simulation models fits to their purpose and evolves from early design stages, where simple product models are used to decide about product concepts, to detail design, where sophisticated simulation models support the dimensioning and design of parts and subassemblies. As a result, from a product life-cycle management point of view, there is a strong need to integrate all lifecycle data artefacts into a comprehensive management system, which can be used by various actors for querying data, such as through-life performance information, and making predictions about the physical product from the digital twin for design optimization and manufacturing system improvement [5].…”

Section: Viewpoints On the Digital Twinmentioning

confidence: 99%

See 2 more Smart Citations

Shaping the digital twin for design and production engineering

et al. 2017

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Abstract:The digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed.

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Section: The Origin and Evolution Of The Digital Twinmentioning

confidence: 99%

Section: Viewpoints On the Digital Twinmentioning

confidence: 99%

Section: Viewpoints On the Digital Twinmentioning

confidence: 99%

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Shaping the digital twin for design and production engineering

et al. 2017

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“…[10] SysML provides the ability to use 9 interrelated types of diagrams to describe the structure, behavior and system requirements:…”

Section: Building a Digital Twinmentioning

confidence: 99%

Main Principals and Issues of Digital Twin Development for Complex Technological Processes

Ponomarev¹,

Kudryashov²,

Popelnukha³

2017

DAAAM Proceedings

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To provide increasing of effectiveness of industrial systems with achievement of the guaranteed product quality, the manufacturing digital transformation paradigm is applied. According to Industry 4.0 concept, adaptive, client-oriented automatic control of product life cycle is the basic approach in global manufacturing digitalization. Such technologies as Big Data, Cloud Services, advanced analytic algorithms, have to be implemented to provide an effective control for complex technological processes. Therefore, different technologies operating information from Web as well as from field level and top level manufacture information systems should offer high degree of interoperability. This article represents the, so-called, digital twin concept description. The main development issues and paradigms are described, applying to oil refining industry.

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“…Currently, the native file system is used as Device Adapter Repository. The ontology was defined using the Web Ontology Language (OWL) 1.1 6 . The access to the ontology is done by SPARQL requests through the Apache Jena 7 framework.…”

Section: Prototypical Implementationmentioning

confidence: 99%

Automating the Provisioning and Configuration of Devices in the Internet of Things

Hirmer

Breitenbücher

Silva

et al. 2016

CSIMQ

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Abstract. The Internet of Things benefits from an increasing number of interconnected technical devices. This has led to the existence of so-called smart environments, which encompass one or more devices sensing, acting, and automatically performing different tasks to enable their self-organization. Smart environments are divided into two parts: the physical environment and its digital representation, oftentimes referred to as digital twin. However, the automated binding and monitoring of devices of smart environments are still major issues. In this article we present a method and system architecture to cope with these challenges by enabling (i) easy modeling of sensors, actuators, devices, and their attributes, (ii) dynamic device binding based on their type, (iii) the access to devices using different paradigms, and (iv) the monitoring of smart environments in regard to failures or changes. We furthermore provide a prototypical implementation of the introduced approach.

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About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Cited by 1,055 publications

References 2 publications

Shaping the digital twin for design and production engineering

Shaping the digital twin for design and production engineering

Main Principals and Issues of Digital Twin Development for Complex Technological Processes

Automating the Provisioning and Configuration of Devices in the Internet of Things

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