The Cutting Tool Technical State Forecasting During the Technological Production Preparation Stages

This study deals with the addressing the issue of ensuring the operational condition of the technological system in terms of quality parameters for manufacturing products within the required timeframe by developing and implementing the method for forecasting the technical state of the cutting tool (CT). The paper highlights the importance of determining and forecasting the technical state of the CT for enterprises in the instrument-making and mechanical engineering industries. To address the research question, an operational control method for the CT, based on the multisensory data fusion obtained from technical diagnostic and control systems on a computer numerical control (CNC) machine, was proposed. The forecasting of the CT's technical state was performed using artificial intelligence (AI) methods. The proposed approach for obtaining input data for developing predictive models differs in their reliability due to minimizing erroneous results from individual technical diagnostic and control systems.