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Reliability design and case study of the domestic compressor subjected to repetitive internal stresses

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  • Woo, Seong-woo
  • Pecht, Michael
  • O'Neal, Dennis L.

Abstract

To improve the lifetime of mechanical system such as compressor, parametric accelerated life testing (ALT) as a reliability methodology is suggested. It consists of (1) a parametric ALT plan based on BX lifetime, (2) load analysis for accelerated lifetime test, (3) a tailored series of parametric ALTs with action plans, and (4) evaluation of the final compressor design to ensure the targeted BX lifetime is satisfied. As a test case, failed reciprocating compressors of French-door refrigerators returned from the field were studied. Disassembling the compressors revealed that the suction reed valve had fractured. In the first ALT, the failed samples from the field were reproduced. The root cause of the failures came from the sharp edges of the valve plate and an overlap between the suction reed valve and the valve plate. Corrective actions included modifying the valve plate in the compressor system to increase the trepan size and adding a ball peening process to eliminate sharp edges on the valve plate. There were no problems during the second ALT. After these parametric ALTs with corrective action plans were conducted, the modified compressor was expected to achieve lifetime of B1 life 10 years.

Suggested Citation

  • Woo, Seong-woo & Pecht, Michael & O'Neal, Dennis L., 2020. "Reliability design and case study of the domestic compressor subjected to repetitive internal stresses," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
  • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019302832
    DOI: 10.1016/j.ress.2019.106604
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    References listed on IDEAS

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    1. Lu, Yaohui & Zheng, Heyan & Zeng, Jing & Chen, Tianli & Wu, Pingbo, 2019. "Fatigue life reliability evaluation in a high-speed train bogie frame using accelerated life and numerical test," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 221-232.
    2. Wang, Lizhi & Pan, Rong & Li, Xiaoyang & Jiang, Tongmin, 2013. "A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 38-47.
    3. Mohammadian, S. Hossein & Aït-Kadi, Daoud, 2010. "Design stage confirmation of lifetime improvement for newly modified products through accelerated life testing," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 897-905.
    4. Wang, Huan & Wang, Guan-jun & Duan, Feng-jun, 2016. "Planning of step-stress accelerated degradation test based on the inverse Gaussian process," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 97-105.
    5. Zhang, Chunhua & Lu, Xiang & Tan, Yuanyuan & Wang, Yashun, 2015. "Reliability demonstration methodology for products with Gamma Process by optimal accelerated degradation testing," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 369-377.
    6. Li, Xiaoyang & Hu, Yuqing & Zhou, Jiandong & Li, Xiang & Kang, Rui, 2018. "Bayesian step stress accelerated degradation testing design: A multi-objective Pareto-optimal approach," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 9-17.
    7. Lin, Kunsong & Chen, Yunxia & Xu, Dan, 2017. "Reliability assessment model considering heterogeneous population in a multiple stresses accelerated test," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 134-143.
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    2. Xuejie Li & Yuan Xue & Yuxing Li & Qingshan Feng, 2022. "An Optimization Method for a Compressor Standby Scheme Based on Reliability Analysis," Energies, MDPI, vol. 15(21), pages 1-16, November.
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    4. Huang, Jia & You, Jian-Xin & Liu, Hu-Chen & Song, Ming-Shun, 2020. "Failure mode and effect analysis improvement: A systematic literature review and future research agenda," Reliability Engineering and System Safety, Elsevier, vol. 199(C).

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