System and method for controlling a cutting tool during a cutting operation

A system for controlling a cutting tool during a cutting operation, wherein the cutting operation includes a sequence of n operation steps, wherein n is an integer ≥2, and wherein each operation step results in an operation condition, wherein the operation condition comprises at least any of a vibration value, a temperature value, a force value and a sound level value, wherein the system comprises:

• a control unit operatively connected to the cutting tool;
• and
• at least one sensor operatively connected to the control unit, wherein the at least one sensor is configured to generate a measurement signal indicating a measured value of the operation condition for a current operation step, wherein the control unit includes a processing circuitry, and a memory, wherein the memory comprises instructions executable by the processing circuitry, and wherein the processing circuitry is configured to cause the control unit to:
• receive a cutting program for the cutting operation, wherein the cutting program, for each of the n operation steps, comprises:
• at least one initial cutting data parameter, wherein the at least one initial cutting data parameter has a parameter value, wherein the at least one initial cutting data parameter comprises at least any of a depth of cut, a radial engagement, a feed/revolution, a feed/tooth and a cutting speed;
• an expected value of the operation condition, wherein the expected value of the operation condition is a function of the at least one initial cutting data parameter;
• and
• a predetermined operation condition threshold value for the operation step;
• wherein the processing circuitry is further configured to cause the control unit to:
• control the cutting tool according to the cutting program;
• receive the measurement signal from the at least one sensor;
• compare the measured value of the operation condition for the current operation step with the expected value of the operation condition for the current operation step, and determine a difference therebetween;
• determine an adjusted expected value of the operation condition for each operation step subsequent to the current operation step based on said difference, wherein the adjusted expected value of the operation condition is a prediction made by a first machine-learning model;
• determine, for each operation step subsequent to the current operation step, if the adjusted expected value of the operation condition is higher than the predetermined operation condition threshold value;
• generate, for each of the operation steps where the adjusted expected value of the operation condition is determined to be higher than the predetermined operation condition threshold value, at least one adjusted cutting data parameter, wherein the generation of the at least one adjusted cutting data parameter comprises a reduction of the parameter value of the at least one initial cutting data parameter;
• update the cutting program with the at least one adjusted cutting data parameter;
• and
• control the cutting tool according to the updated cutting program.