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Artificial Intelligence is transforming industries worldwide, but Paper Machine Clothing requires more than general AI. Discover why specialized AI is becoming the next evolution in PMC troubleshooting and how PMC CENTRE AI is helping paper makers and PMC professionals make better technical decisions.

Introduction Energy efficiency is becoming an increasingly important focus in paper machine operations. While much of the industry attention is directed toward process optimization and equipment upgrades, the influence of Paper Machine Clothing (PMC)—particularly in the forming section—offers a technically sound and often underutilized opportunity for energy reduction. Studies on paper machine energy distribution and frictional losses indicate that friction and fabric-machine

Moisture profile variation across paper sheets can lead to serious quality and runnability issues. This article explains the root causes and practical solutions for both paper makers and fabric manufacturers.

In today’s paper machines—particularly with increasing dependence on recycled furnish—fabric contamination and stickies build-up have emerged as one of the most critical yet underestimated performance challenges. Deposits such as adhesives, latex, pitch, fillers, and fines gradually accumulate within the forming fabric structure. Over time, this accumulation restricts flow paths, reduces permeability, and disturbs drainage uniformity.