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Researchers at IMDEA Materials Institute in Madrid, working with Lawrence Berkeley National Laboratory in the US, have developed an algorithm that detects hidden behavioral differences between supposedly identical 3D printers and automatically decides how to correct for them.
The work, published in Advanced Engineering Informatics, targets a problem that grows worse as manufacturing scales: even machines of the same brand, model, and near-identical serial number rarely behave exactly alike, and those small deviations compound into real defects across a production run.
Rather than applying one blanket optimization strategy across an entire fleet, the new system profiles each machine individually first. It runs a diagnostic assessment to build a performance signature for every printer, the