Fuzzy Logic Process Control Approach for Intelligent Parts Drying Processes

Industrial parts drying processes are essential elements of many process chains in the metal-working industry. Nevertheless, they are often designed based on experience and lack a control strategy, leading to over- or under-drying. The following paper proposes a fuzzy-logic-based approach for controlling the drying result, while also considering the resulting power consumption of the drying system. The developed fuzzy logic controller is implemented to the convective drying system of a throughput cleaning machine. The study concludes that fuzzy logic provides an effective means of controlling industrial parts drying processes for efficiently achieving targeted dryness levels, while providing sufficient interpretability.