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VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 2
SUMMARY:Use of digital twin technology for the realisation of a soft sensor for online determination of residual stresses
DESCRIPTION:During rolling, straightening and thermal processes internal stresses arise impairing the products material properties and causing material distortion due to stress relief mechanisms. The characteristics of those effects are still associated with a high degree of uncertainty. To overcome these uncertainties, an improved and highly advanced process technology is required combining hybrid process models (physical and statistical) with a virtual plant model (digital twin) that enables online simulation of material conditions and properties, e.g. residual stresses responsible for deformations, by use of soft sensors.

The locally varying degrees of deformation and temperature profiles during production lead to problems regarding shape stability, straightness and level of residual stresses. To predict the effect of the different processing steps on the quality of the products more accurately, online capable residual stress determining techniques are mandatory to control processes from a perspective of internal stresses as the main influencing factor for shape and straightness. 

A hybrid approach is chosen combining material, physical and data-based process models to a soft-sensor for residual stresses. It comprises experimental material, analytical and statistical process data to generate knowledge for the realization of a “residual-stress-based” process strategy.

A product related container gathers all relevant data and serves as a repository for relevant models to calculate non-measurable data. The data and model container is realized today by the digital twin technology.

As a direct online measurement of residual stresses is not possible, the development of a soft-sensor for residual stresses will solve this technological gap and can be used for further process control.

CLASS:PUBLIC
DTSTART:20230615T143000
DTEND:20230615T145000
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