Digital twin of stone sawing processes

Polini, Wilma; Corrado, Andrea

doi:10.1007/s00170-020-06384-6

Cited by 10 publications

(3 citation statements)

References 34 publications

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“…Aside from robotics for sensing, increasingly sophisticated cutting technologies have been noted in stone reduction processes in quarries. The production of 'dimensional' stone (sawn on six sides) has enhanced productivity in conservation masonry applications [142]. More recently, advances in digital reality capture twinned with computerised numerical control (CNC) robotic routers have led to accurate reproductions of architectural carved enrichment elements, sculpture and artefacts [143] (Figure 8).…”

Section: Robotic Applications For Heritagementioning

confidence: 99%

Beyond Heritage Science: A Review

Kennedy,

Penman,

Watkinson

et al. 2024

Heritage

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Heritage science is an established and thriving field of enquiry. Initially considered as inherently cross-disciplinary, encompassing both the needs of conservators and practitioners and the high-quality evidence produced by scientists, heritage science has, through its expansion in recent years, formed a discipline in its own right. Here, we examine how heritage science can, and to an extent has, moved beyond the straightforward scientific analysis of historical materials and artefacts through an exploration of heritage science’s interactions with four key themes: (i) historical and archival research, (ii) conservation practice, (iii) policy at governmental, organisational and institutional levels, and (iv) a view to how new technologies, such as machine learning and artificial intelligence, can shape the future of heritage science. Much of the review narrative is framed via the analysis of UK-based case studies; however, they deal with issues that are international in nature (universal) and therefore transcend the UK context. Taken together, we demonstrate that heritage science as a discipline is capable of directly instigating or (re-)framing new areas or avenues of research, as well as enhancing and feeding into existing research questions, and has adapted and evolved along with emerging technologies and funding opportunities.

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Section: Robotic Applications For Heritagementioning

confidence: 99%

Beyond Heritage Science: A Review

Kennedy,

Penman,

Watkinson

et al. 2024

Heritage

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“…The Lathe tool dynamometer was developed with three axes load cell, which uses a Wheatstone bridge circuit. The smart lathe tool holder acquires the tangential, feed, and radial force signals [27][28][29][30][31][32][33][34] .The cutting force given by the operator is converted into electrical signals and amplified. The preprocessed electrical signals are interfaced with the ATMEGA microcontroller integrated development environment (IDE).…”

Section: Development Of Digital Twinmentioning

confidence: 99%

Digital Twin Framework for Lathe Tool Condition Monitoring in Machining of Aluminium 5052

Ganeshkumar,

Singh,

Suresh Kumar

et al. 2023

Def. Sc. J.

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Digital Twin (DT) is a virtual representation of a product system that exhibits the properties and analyzes the system’s functions. The significant impact of DT extends to several fields, which increases productivity and reduces wastage. This article focuses on developing a Digital twin model of a Lathe machine for Tool Condition Monitoring (TCM). DT implementation in industries is challenging due to simulating online cutting forces and wear. Even though several pieces of research have been carried out in the prediction of tool conditions using machine learning, Artificial Neural network models, only a few pieces of research have been made in digital twins for TCM. This article provides the technique for implementing the DT model of a lathe tool. The feasibility of the DT Model framework is verified by a case study of the turning process with a CNC Lathe machine while machining of Aluminium 5052 workpiece using Titanium Nitride coated tool inserts. The sensor’s data are acquired and fed to the microcontroller for real-time data acquisition. The real-time dataset is processed in the DT model for monitoring and predicting the tool conditions. The tool wear classification using the DT model is achieved. Developing the Digital Twin model in machining increases productivity and assists in predictive maintenance.

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“…Leon and Horita [51] (NS12) try to overcome two challenges: (i) how to decentralize existing legacy systems to provide a technology solution that meets the new needs of users in this more digital society; and (ii) how to create a systems architecture that addresses the characteristics inherent in digital transformation.…”

Section: Digital Twins and Product Designmentioning

confidence: 99%

Sustainability Requirements of Digital Twin-Based Systems: A Meta Systematic Literature Review

Carvalho

Silva

2021

Applied Sciences

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Sustainable development was defined by the UN in 1987 as development that meets the needs of the present without compromising the ability of future generations to meet their own needs, and this is a core concept in this paper. This work acknowledges the three dimensions of sustainability, i.e., economic, social, and environmental, but its focus is on this last one. A digital twin (DT) is frequently described as a physical entity with a virtual counterpart, and the data, connections between the two, implying the existence of connectors and blocks for efficient and effective data communication. This paper provides a meta systematic literature review (SLR) (i.e., an SLR of SLRs) regarding the sustainability requirements of DT-based systems. Numerous papers on the subject of DT were also selected because they cited the analyzed SLRs and were considered relevant to the purposes of this research. From the selection and analysis of 29 papers, several limitations and challenges were identified: the perceived benefits of DTs are not clearly understood; DTs across the product life cycle or the DT life cycle are not sufficiently studied; it is not clear how DTs can contribute to reducing costs or supporting decision-making; technical implementation of DTs must be improved and better integrated in the context of the IoT; the level of fidelity of DTs is not entirely evaluated in terms of their parameters, accuracy, and level of abstraction; and the ownership of data stored within DTs should be better understood. Furthermore, from our research, it was not possible to find a paper discussing DTs only in regard to environmental sustainability.

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Digital twin of stone sawing processes

Cited by 10 publications

References 34 publications

Beyond Heritage Science: A Review

Beyond Heritage Science: A Review

Digital Twin Framework for Lathe Tool Condition Monitoring in Machining of Aluminium 5052

Sustainability Requirements of Digital Twin-Based Systems: A Meta Systematic Literature Review

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