System and method for optimizing fabrication processes in computer-assisted machine tools

A system for optimizing fabrication processes in a computer-assisted machine tool, the system comprising:

• a computer numerical control (CNC) machine (102) having a CNC motor /slide (102a) configured to perform physical manipulation of a workpiece (102a) during a fabrication process and execute a range of movements based on programmed instructions to fabricate a part from a raw material;
• a force sensor (102c) attached to the CNC motor/slide (102a) at a point of contact with the workpiece (102a) and configured to measure the force exerted during the fabrication process in real time;
• a data collection module (106a) configured to collect and format the force data from the sensor into a time-series dataset, representing the force profile for each part produced;
• a machine learning analysis module (106b) configured to analyze the collected force data to identify patterns correlating the force profile with the quality outcomes of the parts and capable of generating a predictive force profile for producing a part of desired quality, allowing for material-specific optimization;
• an adaptive control module (106c) configured to adjust the CNC motor/slide parameters in real-time or for subsequent parts based on the predictive force profile generated by the machine learning analysis module (106b);
• and
• a feedback loop module (106d) that continuously collects and analyzes force data during the fabrication process, enabling the system to make incremental improvements and dynamic adjustments to the CNC machine (102) operations to achieve optimal fabrication outcomes.