AI-Driven Autonomous Control Aids Optimizaton of Sheet Strength (ZDT)

GoalImprove sheet strength, reduce chemical usage and process variability.

<p>Customer Challenge</p> <p>A North American Virgin Folding Carton producer desired to improve internal bond sheet strength properties (ZDT) while also eliminating wet end cationic starch.</p> <p>Recommended Solution</p> <p>Solenis recommended a multi-tiered solution involving Solenis Hercobond&trade; Plus 555 (an On-Site generated GPAM dry strength resin), refining trials, and implementation of OPTIX Applied Intelligence (AI).</p> <p>OPTIX, a machine-learning, predictive analytics platform with autonomous control capabilities generates a virtual measure of ZDT strength value in real-time. Utilizing AI to make data-driven process adjustments, the Hercobond Plus 555 dry strength chemistry is finely tuned to drive ZDT quality to target.</p> <p>Results Achieved</p> <ol> <li>Replaced incumbent GPAM supplier with Hercobond Plus 555 dry strength.</li> <li>Modified GPAM application strategy to eliminate wet end starch.&nbsp;</li> <li>Reduced refining with improved strength properties associated with Solenis Hercobond Plus 555 &ndash; improving machine drainage.&nbsp;</li> <li>Over a twelve-month period of utilizing OPTIX autonomous control, the mill realized reduced ZDT quality variation and increased target quality adherence.&nbsp;</li> <li>Overall GPAM dosage reduced by ~50% across all grades.</li> </ol> <p><img style="display: block; margin-left: auto; margin-right: auto;" src="/link/ad103bf544d14a8e8ca6b39ab2bc02cd.aspx" alt="" width="1100" height="631" /></p> <p><img style="display: block; margin-left: auto; margin-right: auto;" src="/link/0bc26d62d4e5467883bd2b18173105e7.aspx" alt="" width="550" height="762" /></p>