Performance Evaluation of Multi-type Five-axis Machine Tool With Recognizable Performance Evaluation by Fuzzy Theory

There are many ways to evaluate the performance of a five-axis machine tool, but an evaluation can be performed using a recognizable multi-type comparison, and it the most practical is the recognizable performance evaluation (RPE). The RPE is one of the current research methods that can derive accurate reference data in a quantitative and recognizable way and is one of the evaluation methods for multi-type five axis machine tool models. Therefore, based on the RPE and the interface of the IT level distribution in the general mechanical design change, this paper attempts to introduce fuzzy theory to obtain exceptional research results.This study calculates the attribution degree of the tested items. A direct discriminant defuzzification attribution degree drop interval is provided to manage the conflicts in the retested performance evaluation of various types of five-axis machine tools. It is possible to directly evaluate the predicted results. The experimental results show that the interval of the interval is 2σ. This result, for the quantifiable performance evaluation, further distinguishes the landing interval.