Reliability prediction of the fatigue life of a crankshaft

• Published in: Journal of mechanical science and technology Vol. 23; no. 4; pp. 1071 - 1074
• Main Authors: Jung, Do-Hyun, Kim, Hong-Jin, Pyoun, Young-Shik, Gafurov, Alisher, Choi, Gue-Cheol, Ahn, Jong-Mo
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Heidelberg Korean Society of Mechanical Engineers 01.04.2009; Springer Nature B.V; 대한기계학회
• Subjects: Applied sciences; Bend tests; Bending fatigue; Combustion; Confidence intervals; Control; Crankshafts; Drives; Dynamical Systems; Engineering; Engines; Exact sciences and technology; Failure analysis; Fracture mechanics (crack, fatigue, damage...); Fundamental areas of phenomenology (including applications); Industrial and Production Engineering; Mathematical analysis; Mechanical Engineering; Mechanical engineering. Machine design; Physics; Shafts, couplings, clutches, brakes; Solid mechanics; Structural and continuum mechanics; Studies; Translational motion; Vibration; 기계공학; Fatigue; Acceleration factor; Reliability; Crankshaft; Weibull analysis; Fatigue life; Geometrical shape; Ultimate limit; Fatigue limit; Fatigue fracture; Confidence interval; Morphology; Internal combustion engine; Weibull distribution; Damaging; Bending test
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-009-0343-2

Crankshaft, the core element of the engine of a vehicle, transforms the translational motion generated by combustion to rotational motion. Its failure will cause serious damage to the engine so its reliability verification must be performed. In this study, the S-N data of the bending fatigue limit of a crankshaft are derived. To evaluate the reliability of the crankshaft, reliability verification and analysis are performed. For the purpose of further evaluation, the bending test of the original crankshaft is carried out, and failure mode analysis is made. The appropriate number of samples, the applied load, and the test time are computed. On the basis of the test results, Weibull analysis for the shape and scale parameters of the crankshaft is estimated. Likewise, the B10 life under 50% of the confidence level and the MTTF are exactly calculated, and the groundwork for improving the reliability of the crankshaft is laid.