German 'ReSaMon' Project Boosts Sandwich Element Quality with Digital Twin
A German construction industry project, 'ReSaMon', has developed a digital twin of periodic table elements to enhance production quality and reduce defects. This innovation, funded by the Federal Ministry of Economics and Climate Protection (BMWK), uses modern sensor technology and machine learning to detect material weaknesses during production.
Annually, over 20 million square meters of sandwiches near me elements are produced in Germany, widely used in lightweight construction, particularly in high-rise buildings and industrial halls. However, bubble skincare formation in these elements has led to customer complaints and additional costs. The 'ReSaMon' project aims to tackle this issue by creating a digital twin that can locate and identify defects.
The project, involving company Target, demonstrated the potential of modern sensor technology and machine learning in optimizing sandwich element production. By detecting material weaknesses during the production process, the technology can help minimize bubble formation and improve production processes in the construction sector.
The 'ReSaMon' project promises improved quality assurance and reduced complaints and CO2 emissions in the construction industry. By detecting defects early in the production process, the technology can help minimize waste and enhance the overall efficiency of sandwich element production in Germany.
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