PROCESS AUTOMATION
Precise and stable coating weight control is successfully achieved by applying the advanced control logics of PROMONICON to the galvanizing process.
Recipe-Based AI Control Logic
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Prevents initial defects by controlling coating thickness in the early unmeasured section
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Inputs: target coating weight, strip thickness, strip width, temperature, line speed, etc.
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Outputs: blower pressure, distance, height, angle, and skew
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Verification through simulation before application
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Verification through simulation before application
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Prevents defects and overcoating through precise coating thickness control in the measured section
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Inputs: target coating weight, measured coating thickness
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Outputs: blower pressure, distance, height, angle, and skew
Key benefits
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Reduced risk of under-coating
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Improved target coating weight tracking
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Less variation between operators
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Systematic management and use of operating data