| 제목 |
실차 주행 조건을 고려한 승용차용 타이어의 편마모 예측 |
| 분야 |
지능형 샤시 및 제어 |
| 언어 |
Korean |
| 저자 |
이상욱(금호타이어), 전재현(금호타이어), 장남규(금호타이어), 정경문(금호타이어), 김기운(금호타이어) |
| Key Words |
Tire(타이어), Uneven wear(편마모), Road Load Data Acquisition(도로 하중 데이터 수집), Finite Element Analysis(유한요소해석), Frictional Energy(마찰에너지) |
| 초록 |
This paper provide a method for prediction of the uneven wear of car tires which enables estimation of the tire accurately in a short time. The frictional dynamic simulation of a 3D patterned tire model predicts the uneven wear tire through the tire footprint contacting with the real driving conditions. The conditions for the real driving course are obtained through RLDA (Road Load Data Acquisition) test. The frictional energy rate with respect to the real driving conditions is calculated by finite element analysis. The uneven wear rate is calculated from the total frictional energy. The reliability of the prediction method is verified by comparing the test results with the finite element analysis for the tires with two tread pattern shapes. Therefore, the uneven wear prediction of PCR tires help improve the efficiency of tire development and the performance of tires without outdoor test work. |
| 원문(PDF) |
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