Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development

arXiv:2405.04592v1 Announce Type: new
Abstract: New products must be formulated rapidly to succeed in the global formulated product market; however, key product indicators (KPIs) can be complex, poorly understood functions of the chemical composition and processing history. Consequently, scale-up must currently undergo expensive trial-and-error campaigns. To accelerate process flow diagram (PFD) optimisation and knowledge discovery, this work proposed a novel digital framework to automatically quantify process mechanisms by integrating symbolic regression (SR) within model-based design of experiments (MBDoE). Each iteration, …

abstract arxiv automate campaigns cs.lg design development error flow functions global history however key knowledge kpis market process processing product products regression scale scale-up type