The crankshaft is the part of an engine which
translates reciprocating linear piston motion into rotation. Automobile
crankshaft failure, apart from poor maintenance culture, is caused by age and
distance covered. These attributes which caused crankshaft failure were
investigated using questionnaire administration and oral interviews of the
maintenance expert and experienced personnel
in the three selected crankshaft maintenance shops in Akure, Nigeria based on
six popular crankshaft brands. Information/data on failure rate and failure
consequence thresholds were established and served as a decision rule on the
basis at which optimal reconditioning process, replacement and interchangeability
system of the crankshaft components were identified on the occurrence of failure rate (R1) and failure consequence
(β1). Computer algorithm was
developed for the software package, using Microsoft Visual C# computer
language. The software was tested to determine their level of performance. The
results generated from the application of these systems were categorised into six scenarios whereby the
MC230 Class gave the best result. The
software will be veritable tools in predicting crankshaft failure
in automobile, manufacturing, and machine tools industries, for prompt
solution.
Cite this paper
Jimoh, Y. A. , Kareem, B. and Olufemi, A. B. (2018). Computer Aided System for Crankshafts Failure Rate of Automobile Based on Distance Travel and Age. Open Access Library Journal, 5, e4134. doi: http://dx.doi.org/10.4236/oalib.1104134.
Kareem, B. (2015) Evaluation of Failures in Mechanical Crankshafts of Automobile based on Expert Opinion. Journal of Case Studies in Engineering Failure Analysis, 3, 25-33. https://doi.org/10.1016/j.csefa.2014.11.001
Ajieogwu, J.O. (2004) Need for Continuous Professional Training as a Means of Promoting Conference of Automotive Mechanics. A paper presented at NATA Auto-Technical Workshop and Exhibition 2003, Ondo City.
Pratik, K. and Manish, D.P. (2015) Analyzing and Identifying Various Approaches for Crankshaft Failures. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 2, 76-77.
Fonte, M., Li, B., Reis, L. and Freitas, M. (2013) Crankshaft Failure Analysis of a Motor Vehicle. Journal of Engineering Failure Analysis, 35, 147-152. https://doi.org/10.1016/j.engfailanal.2013.01.016
Ahmed, K., Nader, H., Farhad, R. and Hassine, F.A. (2016) On the Assessment of Train Crankshafts Fatigue Life Based on LCF Tests and 2D-FE Evaluation of J-Integral. Journal of Case Studies in Engineering Failure Analysis, 66, 354-654.
Amit, P., Gajanan, D. and Amol, K. (2014) Crankshaft Failure Due to Fatigue. International Journal of Mechanical Engineering and Robotics Research (IJMERR), 3, No. 1.
Infante, V. (2013) Failure of Crankshaft of Aero-Engine: A Contribution for an Accident Investigation. Engineering Failure Analysis, 35, 286-293. https://doi.org/10.1016/j.engfailanal.2013.02.002
Nadolny, K. (2012) The Method of Assessment of the Grinding Wheel Cutting Ability to the Plunge Grinding. Central European Journal of Engineering, 2, 399-409. https://doi.org/10.2478/s13531-012-0005-5
Chien, W.Y. (2005) Fatigue Analysis of Crankshaft Sections under Bending with Consideration of Residual Stresses. International Journal of Fatigue, 27, 1-19. https://doi.org/10.1016/j.ijfatigue.2004.06.009
Wang, C. (2005) Analysis of an Unusual Crankshaft Failure. Engineering Failure Analysis, 12, 465-473. https://doi.org/10.1016/j.engfailanal.2004.01.006
Xuanyang, L. (2007) Simulation on the Motion of Crankshaft with a Slant Crack in Crankpin. Mechanical Systems and Signal Processing, 21, 502-513. https://doi.org/10.1016/j.ymssp.2005.08.007
Fonte, M., Infante, V., Freitas, M. and Reis, L. (2016) Failure Mode Analysis of Two Diesel Engine Crankshafts. 15th Portuguese Conference on Fracture, 10-12 February 2016, Vol. 1, 1049-001.
Cevik, G. and Gurbuz, R. (2013) Evaluation of Fatigue Performance of a Fillet Rolled Diesel Engine Crankshaft. Engineering Failure Analysis, 27, 250-261.
https://doi.org/10.1016/j.engfailanal.2012.07.026
