CURRENT STATE AND PROSPECTIVE DIRECTIONS OF RESEARCH ON THE TECHNOLOGICAL ACCURACY OF WOODWORKING MACHINES

Abstract

This article presents an analytical review of the current state and prospective directions of research on the technological accuracy of woodworking machines. Four main research directions have been identified: structural provision of machining accuracy, experimental investigation of actual accuracy and dynamics of its changes, mathematical modelling, and automatic in-process control of part dimensions. It is established that the moving workpiece-feeding system of conventional four-side plano-milling machines contributes up to 60% of the total machining error, while at critical cutting tool wear the actual errors exceed permissible tolerances by up to 3.7 times. The distribution of machining errors is most accurately described by the Weibull law with shape parameter b = 1.89–3.11. The most promising direction is the integration of in-process workpiece measurement and machine learning algorithms (Random Forest, CNN, LSTM) for predictive maintenance with prediction accuracy above 99%. Prospective directions for further research are outlined.