Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

This paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models,...

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Main Authors: Albrecht Hänel, André Seidel, Uwe Frieß, Uwe Teicher, Hajo Wiemer, Dongqian Wang, Eric Wenkler, Lars Penter, Arvid Hellmich, Steffen Ihlenfeldt
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
Online Access:https://www.mdpi.com/2504-4494/5/3/80
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author Albrecht Hänel
André Seidel
Uwe Frieß
Uwe Teicher
Hajo Wiemer
Dongqian Wang
Eric Wenkler
Lars Penter
Arvid Hellmich
Steffen Ihlenfeldt
author_facet Albrecht Hänel
André Seidel
Uwe Frieß
Uwe Teicher
Hajo Wiemer
Dongqian Wang
Eric Wenkler
Lars Penter
Arvid Hellmich
Steffen Ihlenfeldt
author_sort Albrecht Hänel
collection DOAJ
description This paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models, specific calculation and process models, all seen from an application-oriented perspective. Moreover, digital shadow and digital twin are embedded in this framework, being discussed in the context of a state-of-the-art literature review. The main part of this paper addresses models for machine and path inaccuracies, material removal and tool engagement, cutting force, process stability, thermal behavior, workpiece and surface properties. Furthermore, these models are superimposed towards an integral digital twin. In addition, the overall context is expanded towards an integral software architecture of a digital twin providing information system. The information system, in turn, ties in with existing forward-oriented planning from operational practice, leading to a significant expansion of the initially presented basic structure for a digital twin. Consequently, a time-stratified data layer platform is introduced to prepare for the resulting shadow-twin transformation loop. Finally, subtasks are defined to assure functional interfaces, model integrability and feedback measures.
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spelling doaj.art-cbcc55b3e7fd40af8e503d2df53fdcbb2023-11-22T13:44:53ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942021-07-01538010.3390/jmmp5030080Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready ApproachAlbrecht Hänel0André Seidel1Uwe Frieß2Uwe Teicher3Hajo Wiemer4Dongqian Wang5Eric Wenkler6Lars Penter7Arvid Hellmich8Steffen Ihlenfeldt9Fraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyChair of Machine Tools Development and Adaptive Controls, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr 7a, 01069 Dresden, GermanyChair of Machine Tools Development and Adaptive Controls, Institute of Mechatronic Engineering, Technische Universität Dresden, Helmholtzstr 7a, 01069 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyFraunhofer Institute for Machine Tools and Forming Technology IWU, Nöthnitzer Straße 44, 01187 Dresden, GermanyThis paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models, specific calculation and process models, all seen from an application-oriented perspective. Moreover, digital shadow and digital twin are embedded in this framework, being discussed in the context of a state-of-the-art literature review. The main part of this paper addresses models for machine and path inaccuracies, material removal and tool engagement, cutting force, process stability, thermal behavior, workpiece and surface properties. Furthermore, these models are superimposed towards an integral digital twin. In addition, the overall context is expanded towards an integral software architecture of a digital twin providing information system. The information system, in turn, ties in with existing forward-oriented planning from operational practice, leading to a significant expansion of the initially presented basic structure for a digital twin. Consequently, a time-stratified data layer platform is introduced to prepare for the resulting shadow-twin transformation loop. Finally, subtasks are defined to assure functional interfaces, model integrability and feedback measures.https://www.mdpi.com/2504-4494/5/3/80digital twindigital shadowmachining processesinformation modeldigital twin integrationdigital manufacturing system
spellingShingle Albrecht Hänel
André Seidel
Uwe Frieß
Uwe Teicher
Hajo Wiemer
Dongqian Wang
Eric Wenkler
Lars Penter
Arvid Hellmich
Steffen Ihlenfeldt
Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach
Journal of Manufacturing and Materials Processing
digital twin
digital shadow
machining processes
information model
digital twin integration
digital manufacturing system
title Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach
title_full Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach
title_fullStr Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach
title_full_unstemmed Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach
title_short Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach
title_sort digital twins for high tech machining applications a model based analytics ready approach
topic digital twin
digital shadow
machining processes
information model
digital twin integration
digital manufacturing system
url https://www.mdpi.com/2504-4494/5/3/80
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