METHOD FOR PREDICTING TIRE FLAT SPOT PERFORMANCE

摘要

PURPOSE: A method for predicting tire flat spot performance is provided to enable the predicting of the tire flat spot with only specifications of a tire, thereby supplying effect of reducing development delays and additional expenses. CONSTITUTION: A lot of data is received from an input unit for predicting performance of a tire flat spot(S10). The performance of the tire flat spot is learned through a dedicated artificial neural network model unit for a tire based on the data(S20). A performance prediction result for the tire flat spot is outputted through an output unit corresponding to learning(S30). The data includes tire structure input data, thermal strain environment condition data, uniformity measurement condition data, and a test environment condition. [Reference numerals] (100) Input unit; (110) Tire structure input unit; (120) Forming environment condition input unit; (130) Uniformity measurement condition input unit; (200) Neural network model unit; (210) Tire radial run-out learning unit; (220) Tire RFV learning unit; (300) Output unit; (310) Tire radial run-out prediction unit; (320) Tire RFV prediction unit; (330) Tire restoration rate prediction unit