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Derating design for optimizing reliability and cost with an application to liquid rocket engines

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  • Kim, Kyungmee O.
  • Roh, Taeseong
  • Lee, Jae-Woo
  • Zuo, Ming J.

Abstract

Derating is the operation of an item at a stress that is lower than its rated design value. Previous research has indicated that reliability can be increased from operational derating. In order to derate an item in field operation, however, an engineer must rate the design of the item at a stress level higher than the operational stress level, which increases the item׳s nominal failure rate and development costs. At present, there is no model available to quantify the cost and reliability that considers the design uprating as well as the operational derating. In this paper, we establish the reliability expression in terms of the derating level assuming that the nominal failure rate is constant with time for a fixed rated design value. The total development cost is expressed in terms of the rated design value and the number of tests necessary to demonstrate the reliability requirement. The properties of the optimal derating level are explained for maximizing the reliability or for minimizing the cost. As an example, the proposed model is applied to the design of liquid rocket engines.

Suggested Citation

  • Kim, Kyungmee O. & Roh, Taeseong & Lee, Jae-Woo & Zuo, Ming J., 2016. "Derating design for optimizing reliability and cost with an application to liquid rocket engines," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 13-20.
    • Handle: RePEc:eee:reensy:v:146:y:2016:i:c:p:13-20
    DOI: 10.1016/j.ress.2015.10.005
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    References listed on IDEAS

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    1. Hall, J. Brian & Mosleh, Ali, 2008. "An analytical framework for reliability growth of one-shot systems," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1751-1760.
    2. Ahmed, Hussam & Chateauneuf, Alaa, 2014. "Optimal number of tests to achieve and validate product reliability," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 242-250.
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    Cited by:

    1. Alfarizi, Muhammad Gibran & Ustolin, Federico & Vatn, Jørn & Yin, Shen & Paltrinieri, Nicola, 2023. "Towards accident prevention on liquid hydrogen: A data-driven approach for releases prediction," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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