CONTRIBUTIONS REGARDING THE AUTOMATIC REGULATION OF THE CUTTING PARAMETERS DURING THE CNC PROCESS MACHINING, BASED ON PRINCIPLES OF FUZZY SETS

Horea MIZGAN, Florin BLAGA

Abstract


The idea is similar to adaptive processes, i.e. iterative calibration with sample crisps to collect effective values of the technological parameters of the process (such as axial cutting force or tool cutting torque) and then compare them with the default values from the database and reinstalling new corrected values on the fly. The process is iterative because it approaches the optimal point of the working range of the "objective function" through iterations, respecting the imposed constraints. The result is the automatic selection of the best cutting values in an autonomous regime generated by an algorithm, using Fuzzy sets in a complete parameter traceability which will installed by the author at their facilities.


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