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인공신경망을 이용한 타이어 FLAT SPOT 성능 예측 프로그램 개발
최대원(Daewon Choi),김형태(Hyoungtae Kim),김기현(Gihyun Kim),조명국(Myeongguk Cho) 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
Tire Flat Spot is due to a vehicle parked without moving for a in general, tire flat spot phenomenon will be disappeared when a driver have a tire rolled for a few minutes. Flat spot is a low harmonic phenomenon and primarily contributes to the third or fourth harmonics of tire run out. The tire non uniformity caused by a flat spot may induce noticeable vibrations in some vehicles during operation in the decay process. The magnitude and decay of a flat spot depends on many factors ? tire construction, material creep properties, tire radial load and time duration, inflation, tire and ambient temperatures, tire mileage, etc. This paper represents a prediction system that can Prediction the tire Flat-Spot in advance before making tire. The neural network algorithm of data-mining was applied for this Prediction program. This program will indicate tire design guide line to tire engineer correctively and quickly.