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Guidance and software ‘PyDynamic’ place state-of-the-art methods directly into the hands of industry
Dynamic measurements, where the measurand, such as force, torque and pressure, varies over time, can present specific challenges for high-value manufacturing industries.
EMPIR project 'Standards and software to maximise end user uptake of NMI calibrations of dynamic force, torque and pressure sensors' (14SIP08 Dynamic) has developed written advice and guidance for end-users, along with new software to demonstrate dynamic calibrations in action. The aim of the project is to support engineers in industry to use methods previously only available in National Measurement Institutes.
The outputs of this project will assist high-value manufacturing in the optimisation of products and processes where dynamic measurements are necessary, for example, to achieve enhanced engine efficiency and drivetrain performance in the automotive industry.
One project output is guidance for end-users on the reliable estimation of dynamic mechanical quantities and their associated uncertainties. Project partners contributed material to two supplementary guides to the ‘Guide to the expression of uncertainty in measurement’ (GUM), both of which are currently under development:
- A document on developing and using measurement models (Joint Committee for Guides in Metrology document no. 103)
- A document providing examples demonstrating the application of the procedures in the GUM and its supplements (Joint Committee for Guides in Metrology document no. 110)
A second project output is the software PyDynamic, which supports the dynamic calibration of sensors and their subsequent use in dynamic measurement problems. PyDynamic is available via the project website and provides specific advice, and detailed examples, to industrial end users on how to use calibration results to correct measurements for dynamic effects. It thus allows them to demonstrate compliance with the GUM which provides general rules intended to be applicable to a broad spectrum of measurements.
This EMPIR project is co-funded by the European Union's Horizon 2020 research and innovation programme and the EMPIR Participating States.
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