The prediction methodology for tire’s high speed durability regulation test using a finite element method

•New rational methodology to predict the accelerated life test.•Acceptance or refusal for the regulation lifetime.•Accelerated life test to shorten developing time.•Procedure to predict accelerated life test. In the tire industry, indoor accelerated life tests as regulations have been performed to e...

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Bibliographic Details
Published in:International journal of fatigue 2019-01, Vol.118, p.77-86
Main Authors: Kim, Seongrae, Park, Hanseok, Moon, Byungwoo, Sung, Kideug, Koo, Jae-Mean, Seok, Chang-Sung
Format: Article
Language:English
Subjects:
Accelerated life tests
Accelerated tests
Crack propagation
Durability
Failure analysis
Failure times
Fatigue failure
Fatigue life
Fatigue test
Fatigue tests
Field tests
Finite element analysis
Finite element method
Flux density
High speed
Materials durability
Materials fatigue
Mathematical analysis
Prediction method
Rubber
Steady-state rolling analysis
Strain energy density
Stress analysis
Tire high speed durability
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Summary:•New rational methodology to predict the accelerated life test.•Acceptance or refusal for the regulation lifetime.•Accelerated life test to shorten developing time.•Procedure to predict accelerated life test. In the tire industry, indoor accelerated life tests as regulations have been performed to ensure tire durability performances instead of outdoor field test. The finite element method has been widely used to minimize real test time and cost, but prediction method for accelerated life test had hardly been made in the past. This study presents a rational methodology to predict the tire’s failure life at the steel belt edge region due to high speed regulation test. Based on the finite element analysis and fatigue characteristic of rubber material, a method to determine exact failure time is proposed. The steady-state rolling analysis by FEM to get strain energy density range(ΔSED) at the steel belt edge region and fatigue test of rubber compound to obtain ΔSED- number of cycle (Nf) curve were used. The reliability of proposed prediction method was verified by real indoor test.
ISSN:0142-1123
1879-3452
DOI:10.1016/j.ijfatigue.2018.08.036