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An optimal environmental test sequence based on severity for electrical units in automobiles

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Abstract

Electronics in automobiles must operate safely and have excellent reliability; however, components are often unreliable and cause product recalls. There is an urgent need to solve this problem. Conventionally, components are tested individually so it is not possible to simulate environmental failures. The purpose of this study was to utilize severe field-simulations and to propose determining environmental test sequence a 2-phase process for automotive electronics that satisfy the minimum severity for each leg and minimize the test cost. In this work, we examined international standards to understand testing sequences, and calculated the severity of ISO 16750 test items, based on an analytic hierarchy process. The modeled functions were established, and test sequences were optimized using a genetic algorithm. The proposed test sequence was based on the results of this analysis by assumed real conditions. Additionally, the variance analysis was performed for the affected total cost to find factors about determined test sequences. Finally, significant test sequences of ISO 16750 were partially presented by analyzing the results for applying in the automotive industry.

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References

  1. C. Bae, T. Koo, Y. Son, K. Park, J. Jung, S. Han and M. Suh, A study on reliability centered maintenance planning of a standard electric motor unit subsystem using computational techniques, Journal of Mechanical Science and Technology, 23(4) (2009) 1157–1168.

    Article  Google Scholar 

  2. G. U. Jang, C.-W. Kim, D. Bae, Y. Cho, J.-J. Lee and S. Cho, Reliability-based robust design optimization for torque ripple reduction considering manufacturing uncertainty of interior permanent magnet synchronous motor, Journal of Mechanical Science and Technology, 34(3) (2020) 1249–1256.

    Article  Google Scholar 

  3. C.-U. Lee, J.-H. Jo and H.-Y. Lee, How are the automotive electrical unit technologies being developed, The Korean Institute of Electrical Engineers, 65(4) (2016) 8–13.

    Google Scholar 

  4. S.-D. Kim, S.-H. Baek, T.-Y. Kang, S.-J. Park, C. Kim and H. S. Ko, Numerical analysis of flow distribution for combined weapon system in environmental tester, Journal of Mechanical Science and Technology, 26(10) (2012) 3339–3345.

    Article  Google Scholar 

  5. K. Suh and H. Yoon, Durability evaluation of the airlift provision for Korean light tactical vehicles based on fatigue test modes, Journal of Mechanical Science and Technology, 32(3) (2018) 1219–1225.

    Article  Google Scholar 

  6. E. Gorgun and M. B. Karamis, Ultrasonic testing to measure the stress statement of steel parts, Journal of Mechanical Science and Technology, 33(7) (2019) 3231–3236.

    Article  Google Scholar 

  7. E. Sim, C. Kim, K.-S. Kwak and B. Kim, Optimum interface shape and vibration test for a new transmission helical gear composed of steel and aramid/phenol composite, Journal of Mechanical Science and Technology, 34(4) (2020) 1629–1634.

    Article  Google Scholar 

  8. I. Park and J. Park, Effective vibration test planning method for equipment with high slenderness ratio, Journal of Mechanical Science and Technology, 33(12) (2019) 5779–5786.

    Article  Google Scholar 

  9. J. H. Yang and Y. S. Kim, A study of environmental test sequences for electrical units, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 7(12) (2013) 2564–2568.

    Google Scholar 

  10. J. H. Yang and Y. S. Kim, A study on an environmental test sequence for electrical units on aircraft, Journal of the Applied Reliability, 14(2) (2014) 114–121.

    Google Scholar 

  11. J. H. Yang and Y. S. Kim, Optimized environmental test sequences to ensure the sustainability and reliability of marine weapons, Sustainability, 6(12) (2014) 8661–8678.

    Article  Google Scholar 

  12. Y. S. Kim, A study on the environmental test specification of automotive electrical units, Journal of the Korean Society for Quality Management, 46(2) (2018), 311–326.

    Google Scholar 

  13. Z. A. Hassan and A. Anjali, Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia, Applied Energy, 206 (2017) 1225–1240.

    Article  Google Scholar 

  14. X. Zhao, L. Chen and Q. Lu, AHP-ANP-fuzzy integral integrated network for evaluating performance of innovative business models for sustainable building, Journal of Construction Engineering and Management, 43(8) (2017) 1–14.

    Google Scholar 

  15. C.-W. Chang, C.-R. Wu, C.-T. Lin and H.-C. Chen, An application of AHP and sensitivity analysis for selecting the best slicing machine, Computers and Industrial Engineering, 52(2) (2007) 296–307.

    Article  Google Scholar 

  16. J.-B. Lee and S.-R. Chang, Measurement of severity of hazards and investment in occupational safety & health according to ship types using analytic hierarchy process, Journal of the Korean Society of Safety, 27(1) (2012) 105–110.

    Google Scholar 

  17. T. L. Saaty, S. Ö. Müjgan and S. S. Jennifer, The rationality of punishment—measuring the severity of crimes: An AHP-based orders-of-magnitude approach, International Journal of Information Technology and Decision Making, 14(1) (2015) 5–16.

    Article  Google Scholar 

  18. S.-W. Choi, Implementation of reliability measure and distribution, Journal of the Korea Safety Management and Science, 7(5) (2005) 175–184.

    MathSciNet  Google Scholar 

  19. ISO 16750-3, Road Vehicles-Environmental Conditions and Testing for Electrical and Electronic Equipment-Part 3: Mechanical Loads, ISO, Geneva (2012).

  20. ISO 16750-4, Road Vehicles-Environmental Conditions and Testing for Electrical and Electronic Equipment-Part 4: Climatic Loads, ISO, Geneva (2010).

  21. ISO 16750-4, Road Vehicles-Environmental Conditions and Testing for Electrical and Electronic Equipment-Part 5: Chemical Loads, ISO, Geneva (2010).

  22. IEC 600680-1, Environmental Testing-Part 1: General and Guidance, ISO, Geneva (2013).

  23. P. D. T. O’connor and A. Kleyner, Practical Reliability Engineering, 5th Ed., Wiley, New York, USA (2012).

    Google Scholar 

  24. T. L. Saaty, What is the analytic hierarchy process?, Mathematical Models for Decision Support, 48 (1988) 109–121.

    Article  MathSciNet  Google Scholar 

  25. E. H. Forman and K. Peniwati, Aggregating individual judgements and priorities with the analytic hierarchy process, European Journal of Operational Research, 108(1) (1998) 165–169.

    Article  Google Scholar 

  26. H. A. Donegan and F. J. Dodd, A note on Saaty’s random indexes, Mathematical and Computer Modelling, 15(10) (1991) 135–137.

    Article  Google Scholar 

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Acknowledgments

This work was supported by Kyonggi University’s Graduate Research Assistantship 2019.

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Authors and Affiliations

  1. Department of Industrial and Management Engineering, Graduate School, Kyonggi University, Gyeonggi-Do, 16227, Korea

    Hyun Su Sim

  2. Department of Industrial and Management Engineering, Kyonggi University, Gyeonggi-Do, 16227, Korea

    Yong Soo Kim

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  1. Hyun Su Sim
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  2. Yong Soo Kim
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Correspondence to Yong Soo Kim.

Additional information

This paper was presented at ICMR-2019, Maison Glad Jeju, Jeju, Korea, November 27–29, 2019.

Hyun Su Sim received M.S. degree from Kyonggi University, Republic of Korea in 2019. He is a Ph.D. candidate in Industrial and Management Engineering, Kyonggi University, Republic of Korea. His research interests include reliability engineering.

Yong Soo Kim is an Associate Professor at the Department of Industrial and Management Engineering, Kyonggi University, Republic of Korea. He received B.S., M.S. and Ph.D. degrees in industrial engineering from KAIST, respectively. His research interests include decision support system, data mining, and social network analysis. Nowadays, his research topics are focused on quality, reliability, function safety, statistics, and data mining.

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Sim, H.S., Kim, Y.S. An optimal environmental test sequence based on severity for electrical units in automobiles. J Mech Sci Technol 34, 4051–4059 (2020). https://doi.org/10.1007/s12206-020-2216-7

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  • DOI: https://doi.org/10.1007/s12206-020-2216-7

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