Thermometry With Embedded SI Traceability For Industrial Applications
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User-friendly implementation of machine learning algorithm for automation of self-validating thermocouples
A machine learning algorithm has been developed to automatically detect and characterise the melting plateau of a self-validating thermocouple [1].… READ MORE
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NPL’s first successful phosphor thermometry measurements above 750 °C using YAG:Dy
As part of WP3 – thermographic phosphor thermometry up to 1250 °C, NPL have performed initial tests on one possible… READ MORE
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🌟 Exciting times ahead for the ThermoSI project! 🌟
We’re thrilled to announce that our team will be presenting at several upcoming conferences, sharing the latest advancements and insights… READ MORE
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🎉 Huge congratulations to Fatima Mahjabeen for her incredible achievement of winning the poster competition in the #MetrologyatScale category at the National Physical Laboratory (NPL) Postgraduate Institute for Measurement Science (PGI) Conference 2024! 🙌
This accomplishment not only highlights Fatima’s dedication and hard work but also showcases the impactful research being conducted within the… READ MORE
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First ThermoSI collaboration workshop between Beamex and VTT
On October 24th, Beamex and VTT held the first workshop in their ThermoSI collaboration with a focus on their shared… READ MORE
23IND11 ThermoSI
The project 23IND11 ThermoSI has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States.
Funded by the European Union. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or EURAMET. Neither the European Union nor the granting authority can be held responsible for them.
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Thermometry with embedded SI traceability for industrial applications. Temperature Metrology for Process Efficiency.
23IND11 ThermoSI 