, Machine Learning
Real-world engineering projects demonstrate how machine learning makes manufacturing data usable
, optimizes processes, and supports technical quality assessments.
Here's how versatile AI and machine learning can be in engineering
From manufacturing tolerances to data-driven process optimization and the quality assessment of welded joints: These projects demonstrate how machine learning supports specific technical tasks.
A quality product with AI support
In pump systems, manufacturing tolerances reduce the flow rate. Machine learning identifies relevant measurement data and enables optimal component combinations.
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Up to 10 % energy cost savings
Machine learning uses process data from casting production to detect defects early on and focus inspections specifically on parts that show abnormalities.
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Non-destructive testing of end products
Machine learning analyzes welding parameters to assess the quality of MSG welding processes early on, reduce costs, and improve product quality.
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