Quantitative analysis and benchmarking of positional accuracies of neutron strain scanners

Ramadhan, Ranggi S.; Cabeza, Sandra; Pirling, Thilo; Kabra, Saurabh; Hofmann, M.; Rebelo-Kornmeier, Joana; Venter, А.M.; Marais, Deon

doi:10.1016/j.nima.2021.165230

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…In addition, a plethora of techniques can be used to obtain morphological, chemical, crystallographic or performance data across a range of length scales [54] resulting in a sub-surface data layer that can be linked with the machining data in terms of correlative characterization. In addition, there are non-destructive testing methods such as computed tomography [55] or the investigation by means of neutron radiation [56] which enable the determination of spatially resolved material properties in the sub-surface area. Finally, this concept leads to a digital material twin [57], which also describes the non-machined area integrally.…”

Section: Workpiece Characteristicsmentioning

confidence: 99%

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

Hänel

Seidel

Frieß

et al. 2021

JMMP

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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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Section: Workpiece Characteristicsmentioning

confidence: 99%

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

Hänel

Seidel

Frieß

et al. 2021

JMMP

View full text Add to dashboard Cite

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Towards a seamless data cycle for space components: considerations from the growing European future digital ecosystem Gaia-X

et al. 2023

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ESA’s Design 2 produces cross-cutting initiative includes digitalisation, process automation, interoperability, and harnessing smart embedded sensors to achieve a seamless data cycle (SDC). The SDC in digital engineering covers requirements and design, production, assembly, integration, and testing as well as in-flight operations including recycling. Nevertheless, central data and legal challenges lie in the joint research addressed Europe-wide (geo-return) and the partner network constraints covering agency, large system integrator (LSI), research and development (R&D), and high-tech SME interests. Either way, a legal enabler for digitization of the European space business can be seen in ESA's strict compliance policy with regard to the acceptance of their general terms and conditions. In fact, it is reasonable to assume that ESA declares data to be a common deliverable in the future and that the contractors accept this too. However, there are technical challenges like portability, interoperability, interconnectivity, and the need for a federated infrastructure, while all these aspects have to be solved across company and national borders. The European Gaia-X project tackles the aforementioned challenges while targeting an open, transparent, and secure digital ecosystem in which data are stored, processed, and used while retaining data sovereignty. This paper deepens these framework conditions, addresses them from the perspective of real space applications, and presents key opportunities and challenges at the implementation level. Moreover, it shows how the seamless data cycle contributes to increase freedom of design, improve overall performance, and reduce cost and lead time from concept to manufacturing while creating new high-performance space products.

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Mechanical surface treatment studies by Bragg edge neutron imaging

et al. 2022

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Quantitative analysis and benchmarking of positional accuracies of neutron strain scanners

Cited by 6 publications

References 13 publications

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

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

Towards a seamless data cycle for space components: considerations from the growing European future digital ecosystem Gaia-X

Mechanical surface treatment studies by Bragg edge neutron imaging

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