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Analytical approach to product reliability estimation based on life test data for an automotive clutch system

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study of reliability is an important part of engineering design process which forms the basis of analysis and judgment on future performance of the product. Since the future couldn't be predicted with an absolute certainty, the nature of reliability would lead us to probability theory and uncertainty modeling. The quantitative calculation of this parameter for mechanical systems within different steps of production requires an analytical and systematic approach which has been focused in this paper. The proposed approach has been applied for calculating reliability of a clutch system as a case study. The system reliability in this work is determined based on the block diagram method as a function of individual component reliabilities which are calculated by statistical analysis of life test results. Using Weibull model, reliability of a typical clutch system has been formulated based on durability bench test and results has been interpreted to estimate field reliability.
Rocznik
Strony
845--863
Opis fizyczny
Bibliogr. 29 poz., il. kolor., rys., wykr.
Twórcy
autor
  • R&D Division, Engineering Department, PayaClutch Co., Rasht Industrial City, Rasht, Guilan, Iran
autor
  • Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, Rasht, Guilan, Iran
autor
  • R&D Division, Engineering Department, PayaClutch Co., Rasht Industrial City, Rasht, Guilan, Iran
Bibliografia
  • [1] Bertsche, B.: Reliability in Automotive and Mechanical Engineering, Springer, 45-57, 2008.
  • [2] O'Connor, Patrick, D.T.: Practical reliability engineering, John Wiley & Sons, 145-173, 2002.
  • [3] Labib, A.: Introduction to Failure Analysis Techniques in Reliability Modeling, Learning from Failures, 19-32, 2014.
  • [4] Shaver, F.R.: Manual Transmission Clutch Systems, SAE International, 21-46, 1997.
  • [5] Wang, W., James, M. Loman, R. G. Arno, Vassiliou P., Edward, R. Furlong, and Ogden, D.: Reliability Block Diagram Simulation Techniques Applied to the IEEE Std. 493 Standard Network, IEEE Transactions on Industry Applications, 2004.
  • [6] Lisnianski, A.: Extended block diagram method for a multi-state system reliability assessment, Reliability Engineering & System Safety, 92(12), 1601-1607, 2007.
  • [7] Prowell, S.J., Poore, J.H.: Computing system reliability using Markov chain usage models, The Journal of Systems and Software, 73, 219-225, 2004.
  • [8] Naess, A., Leira, B.J., Batsevych, O.: System reliability analysis by enhanced Monte Carlo simulation, Structural Safety, 31(5), 349-355, 2009.
  • [9] Anderson, M.C.: Evaluating the Series or Parallel Structure Assumption for System Reliability, Quality Engineering, 21, 88-95, 2009.
  • [10] Stapelberg, R.F.: Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design, Springer, 45-59, 2009.
  • [11] Dhillon, B.S.: Maintainability, Maintenance and Reliability for Engineers, CRC Press, 89-96, 2006.
  • [12] Verlinden, S., Deconinck, G., Coup e, B.: Hybrid reliability model for nuclear reactor safety system, Reliability Engineering and System Safety, 110, 35-47, 2012.
  • [13] Pang, H., Yu, T., Song, B.: Failure mechanism analysis and reliability assessment of an aircraft slat, Engineering Failure Analysis, 60, 261-279, 2016.
  • [14] Jun, L., Huibin, X.: Reliability Analysis of Aircraft Equipment Based on FMECA Method, International Conference on Solid State Devices and Materials Science, Physics Procedia, 25, 1816-1822, 2012.
  • [15] Shalev, D.M., Tiran, J.: Condition-based fault tree analysis (CBFTA): A new method for improved fault tree analysis (FTA), reliability and safety calculations, Reliability Engineering & System Safety, 92(9), 1231-1241, 2007.
  • [16] Elsayed, A.E.: Reliability Engineering, John Wiley & Sons, 135-143, 2012.
  • [17] Calixto, E.: Reliability, Availability, and Maintainability, in: `Gas and Oil Reliability Engineering', Elsevier, 269-470, 2016.
  • [18] Guida, M., Pulcini, G.: Automotive reliability inference based on past data and technical knowledge', Reliability Engineering and System Safety, 76, 129-137, 2002.
  • [19] Rao, S.S., Tjandra, M.: Reliability-based design of automotive transmission systems, Reliability Engineering and System Safety, 46, 159-169, 1994.
  • [20] Changhua, H., Zhijie, Z., Jianxun, Z., Xiaosheng, S.: A survey on life prediction of equipment', Chinese Journal of Aeronautics, 28(1), 25-33, 2015.
  • [21] Pulido, J.: Reliability Analysis for Components under Thermal Mechanical Loadings', IEEE Reliability and Maintainability Symposium, 2013.
  • [22] Klyatis, L.M.: Accelerated reliability and durability testing technology, John Wiley & Sons, Inc., 141-191, 2012.
  • [23] Zaharia, S.M., Martinescu, I., Morariu C.O.: Life time prediction using accelerated test data of the specimens from mechanical element, Maintenance and Reliability, 14(2), 99-106, 2012.
  • [24] Rai, B., Singh, N.: Hazard rate estimation from incomplete and unclean warranty data, Reliability Engineering and System Safety, 81, 79-92, 2003.
  • [25] Coit, D.W., Dey, K.A.: Analysis of grouped data from field-failure reporting systems, Reliability Engineering and System Safety, 65, 95-101, 1999.
  • [26] Majeske, K.D.: A mixture model for automobile warranty data, Reliability Engineering and System Safety, 81, 71-77, 2003.
  • [27] Ph, Y.S., Bai, D.S.: Field data analyses with additional after-warranty failure data, Reliability Engineering and System Safety, 72, 1-8, 2001.
  • [28] Teixeira, C., Cavalca, K.: The Reliability as Value Factor in the Improvement of Products. Case Study: Automotive Clutch System, SAE Technical Paper, 01-3281, 2004.
  • [29] Adriano, C., Teixeira, R., Cavalca, K.: Reliability as an added-value factor in an automotive clutch system, Quality and Reliability Engineering International, 24(2), 229-248, 2008.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e5314764-369e-4f32-a818-f30a16d4b39c
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