New European Metrology Network for advanced manufacturing

Przyklenk, Anita; Balsamo, Alessandro; O’Connor, Daniel; Evans, Alexander; Yandayan, Tanfer; Akgöz, Sibel Asli; Flys, Olena; Phillips, Dishi; Zelený, Vít; Czułek, D.; Meli, Felix; Ragusa, Carlo Stefano; Bosse, Harald

doi:10.1088/1361-6501/ac0d25

Cited by 6 publications

(3 citation statements)

References 48 publications

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“…Figure 3 shows that the sector with most published research on digital twins is manufacturing. The European Metrology Network for Advanced Manufacturing [42] has identified key areas where metrology support of advanced manufacturing is needed, including digitalisation and vertical integration, within its strategic research agenda so this topic will not be discussed in more depth.…”

Section: Metrology For Digital Twins?mentioning

confidence: 99%

Digital twins for metrology; metrology for digital twins

Wright,

Davidson

2024

Meas. Sci. Technol.

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Digital twinning is a rapidly growing area of research. Digital twins combine models and data to provide up-to-date information about the state of a system. They support reliable decision-making in fields such as structural monitoring and advanced manufacturing. The use of metrology data to update models in this way offers benefits in many areas, including metrology itself. The recent activities in digitalisation of metrology offer a great opportunity to make metrology data “twin-friendly” and to incorporate digital twins into metrological processes. This paper discusses key features of digital twins that will inform their use in metrology and measurement, highlights the links between digital twins and virtual metrology, outlines what use metrology can make of digital twins and how metrology and measured data can support the use of digital twins, and suggests potential future developments that will maximise the benefits achieved.

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Section: Metrology For Digital Twins?mentioning

confidence: 99%

Digital twins for metrology; metrology for digital twins

Wright,

Davidson

2024

Meas. Sci. Technol.

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“…Additive manufacturing (AM) connects melted materials to produce items from a computer-aided design (CAD) model [1]. AM technologies are rapidly growing due to their manufacturing speed and flexibility [2]. Selective LASER melting (SLM) is one of the most popular AM methods for fabricating metal parts with high precision and acceptable surface finish [3].…”

Section: Introductionmentioning

confidence: 99%

Selective LASER melting part quality prediction and energy consumption optimization

Sabuj

Afshari

Liang

2023

Meas. Sci. Technol.

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Selective LASER Melting (SLM) popularity is increasing because of its ability to quickly produce components with acceptable quality. The SLM process parameters, such as LASER power and scan speed, play a significant role in assuring the quality of customized SLM products. Therefore, the process parameters must be tuned appropriately to achieve high-quality customized products. Most existing methods for adjusting the SLM’s parameters use multiple inputs and one or two outputs to develop a model for achieving their desired quality. However, the number of the model’s input and output parameters to be considered can be increased to achieve a more comprehensive model. Furthermore, energy consumption is also a factor that should be considered when adjusting input parameters. This paper presents a multi-inputs-multi-outputs (MIMO) artificial neural network (ANN) model to predict the SLM product qualities. We also try to combine training data from different sources to achieve a more general model that can be used in real applications by industries. The model inputs are LASER power, scan speed, overlap rate, and hatch distance. Moreover, four critical product quality measures: relative density, hardness, tensile strength, and porosity, are used as the model’s outputs. After finding a proper model, an energy optimization method is developed using the genetic algorithm in this paper. The objective of the optimization is to minimize the energy consumption of SLM manufacturing with a less compromised output quality. The results of this study can be used in the industry to decrease energy consumption while maintaining the required quality.

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“…First, a perspective contribution by Przyklenk et al [1] provides an overview on the growing importance of advanced manufacturing and introduces the new European Metrology Network (EMN) for Advanced Manufacturing within EURAMET, the European Association of National Metrology Institutes.…”

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confidence: 99%