DOI QR코드

DOI QR Code

Investigation of the Acceleration Coefficient in Acceleration Models

가속모델의 가속계수 조사

  • Hyunjong Park (Department of Industrial and Systems Engineering, Kyonggi University) ;
  • Sungjun Kim (Department of Industrial Engineering, Chosun University) ;
  • Beomsik Park (Defense Reliability Research Center, Defense Agency for Technology and Quality) ;
  • Somi Park (Defense Reliability Research Center, Defense Agency for Technology and Quality) ;
  • Siil Sung (Department of Industrial and Systems Engineering, Kyonggi University)
  • 박현종 (경기대학교 산업시스템공학과) ;
  • 김성준 (조선대학교 산업공학과) ;
  • 박범식 (국방기술품질원 국방신뢰성연구센터) ;
  • 박소미 (국방기술품질원 국방신뢰성연구센터) ;
  • 성시일 (경기대학교 산업시스템공학과)
  • Received : 2024.03.04
  • Accepted : 2024.03.12
  • Published : 2024.03.31

Abstract

Purpose: This study is to investigate the literature on accelerated tests based on the acceleration model and to provide a compilation of results on the parameters applied in the acceleration model and the test conditions. Methods: This research is conducts a literature review on accelerated tests using the acceleration model, with a focus on test targets, test conditions, and parameter values. The study is organizing the results of this literature review to facilitate their application in the design of reliability tests. Results: A literature review investigated a variety of test targets, test conditions, and parameter values. Conclusion: The results of the literature research conducted revealed various acceleration model parameter. Such literature research on accelerated tests can establish the foundation for reliability test design and contribute to future product development and quality improvement

Keywords

References

  1. Bang, Jin Hong et al. 2023. Accelerated Life Testing Data-Based Lifetime Prediction of Rubber Material for Bushing Using Global-Local Optimization Technique. Journal of Applied Reliability 23(3):211-220
  2. Charruau, Stephane et al. 2006. Reliability estimation of aeronautic component by accelerated tests. Microelectronics reliability 46.9(11):1451-1457. https://doi.org/10.1016/j.microrel.2006.07.009
  3. Cho, Seongwoo, Lee, Hansol, and Kang, Juyoung. 2022. A Study on the Common RPN Model of Failure Mode Evaluation Analysis(FMEA) and its Application for Risk Factor Evaluation. Journal of Korean Society for Quality Management 50(1):125-138.
  4. Choi, Hyoung Seuk. 2022. Accelerated Life Test and Life Model Development of Alumina Ceramic Disk for Water Valve. Journal of Applied Reliability 22(4):411-418 https://doi.org/10.33162/JAR.2022.12.22.4.411
  5. C-K. Hu, B. Luther, F.B. Kaufman, J. Hummel, C. Uzoh, and D.J. Pearson. 1995. Copper interconnection integration and reliability. Thin Solid Films 262(1-2):84-92. https://doi.org/10.1016/0040-6090(94)05807-5
  6. Davis Yevtte A. 2011. Transient behavior of light-emitting electrochemical cells. California, Naval Postgraduate School.
  7. Drandova Gergana I and Kenneth. D. Decker. 2010. TaN resistor reliability studies. 2010 CS MANTECH Technical Digest. 69-72.
  8. Espinet-Gonzalez Pilar et al. 2015. Temperature accelerated life test on commercial concentrator III-V triple-junction solar cells and reliability analysis as a function of the operating temperature. Progress in Photovoltaics: Research and Applications 23(5):559-569. https://doi.org/10.1002/pip.2461
  9. Feilat, E. A. et al. 2000. Accelerated aging of high voltage encapsulated transformers for electronics applications. Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials, IEEE, 1(00CH36347).
  10. Forrest. S. R. et al. 1988. Reliability of vapor-grown planar In0. 53Ga0. 47As. IEEE electron device letters, 9(5):217-219. https://doi.org/10.1109/55.695
  11. Gan, C. L. and U, Hashim. 2013. Reliability assessment and activation energy study of Au and Pd-coated Cu wires post high temperature aging in nanoscale semiconductor packaging. J. of electronic packaging, 135(2).
  12. Gu, H. S. and Y. Itoh. 2010. Ageing behaviour of natural rubber and high damping rubber materials used in bridge rubber bearings. Advances in Structural Engineering 13(6):1105-1113. https://doi.org/10.1260/1369-4332.13.6.1105
  13. Hang, Chunjing et al. 2013. The effects of humidity and temperature aging test on flexible packaging LED module. 2013 14th International Conference on Electronic Packaging Technology IEEE.
  14. Hao, Jian et al. 2016. Comparison of lifetime predictions with LED lamps and light source modules in accelerated aging tests. 2016 17th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, IEEE.
  15. Hyun Sung Kim, Jeong Jik Yang, and Seo, Ji Won. 2022. Temperature Acceleration-Based Life Data Analysis and Acceleration Test Method for EPDM in High-Pressure Fuel System Sealing Materials for Fuel Cell Electric Vehicles. Journal of Applied Reliability 22(3):211-218 https://doi.org/10.33162/JAR.2022.9.22.3.211
  16. Jin Dan et al. 2010. EO polymer modulators reliability study. Organic Photonic Materials and Devices XII, SPIE, 7599.
  17. Jung, D. S. 2011. Reliability Test Assessment Technique for Pressure Compensation Type Hydraulic Pump. Journal of Applied Reliability. 11(4):371-385.
  18. Jung, Jae Han et al. 2013. A Study on Accelerated Life Test of Halogen Lamps for Medical Device," Journal of Korean Society for Quality Management. 41(4):659-672.
  19. Kim Hyun Sung, Yang Jeong Jik, and Seo Ji Won. 2022. Temperature Acceleration-Based Life Data Analysis and Acceleration Test Method for EPDM in High-Pressure Fuel System Sealing Materials for Fuel Cell Electric Vehicles. Journal of Applied Reliability 22(3):211-218 https://doi.org/10.33162/JAR.2022.9.22.3.211
  20. Kim, H. M., Wi, S. H., and Lee, H. B. 2011. Life Prediction through Accelerated Life Test of Tire Pressure sensor. Conference of the Korean Reliability Society. 41-48.
  21. Kim, Hyun Cheol and Choi, Kyung Min. 2023. Development of Life Prediction Model and Accelerated No-Failure Test Method for Durability Test of Door Module Rear. Journal of Applied Reliability 23(3):256-260 https://doi.org/10.33162/JAR.2023.8.23.3.256
  22. Kim, Iljung et al. 2022. Discovering Essential AI-based Manufacturing Policy Issues for Competitive Reinforcement of Small and Medium Manufacturing Enterprises. Journal of Korean Society for Quality Management 50(4):647-664. https://doi.org/10.7469/JKSQM.2022.50.4.647
  23. Kim, K. C. et al. 2020. Analysis of thermal characteristics and insulation resistance based on the installation year and accelerated test by electrical socket outlets. Safety and health at work 11(4):405-417. https://doi.org/10.1016/j.shaw.2020.06.004
  24. Kim, Minjun. 2023. Understanding of the Overview of Quality 4.0 Using Text Mining. Journal of Korean Society for Quality Management 51(3):403-418.
  25. Kim, S. H., Yeom, J. S., Baek, I. S., Kim, J. S., and Sung, S. I. 2020. Determining the Statistical Sample Size for Reliability Testing. Journal of Applied Reliability 20(1):84-9. https://doi.org/10.33162/JAR.2020.3.20.1.84
  26. Koh, S. W. et al. 2013. Product level accelerated lifetime test for indoor LED luminaires. 2013. 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, IEEE.
  27. Lakshminarayanan, V. and Sriraam, N. 2014. The effect of temperature on the reliability of electronic components. 2014 IEEE international conference on electronics, computing and communication technologies.
  28. Lee, G. H., Kim, H. G., and Kim, D. S. 2003. Study of the accelerated life test method for power train components under cyclic loads using Weibull-IPL (inverse power law) model. ASME International Mechanical Engineering Congress and Exposition, 37122
  29. M, Yazdan Mehr et al. 2015. Accelerated reliability test method for optics in LED luminaire applications. 2015 16th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems. IEEE.
  30. M, Yazdan Mehr., Willem D. van Driel., and Zhang, G. Q. 2014. Reliability and accelerated test methods for plastic materials in LED-based products. 15th International Conference on Thermal, Mechanical and Mulit-Physics Simulation and Experiments in Microelectronics and Microsystems, IEEE.
  31. Min, K. C., Yun, Y. G., and Kim, M. S. 2011. An Accelerated Life Test of LED Lights for Aviation Taxiway. Journal of Applied Reliability 11(2):127-140.
  32. N, Nunez et al. 2013. Evaluation of the reliability of high concentrator GaAs solar cells by means of temperature accelerated aging tests. Progress in Photovoltaics: Research and Applications, 21(5):1104-1113. https://doi.org/10.1002/pip.2212
  33. Nelson, Wayne B. 2009. Accelerated testing: statistical models, test plans, and data analysis. John Wiley & Sons.
  34. Nikolic Valentino and Radek Polansky. 2020. Assessing the reliability of electrical insulating materials using accelerated aging tests. 2020 International Conference on Diagnostics in Electrical Engineering, IEEE.
  35. Nogueira, Eduardo et al. 2009. Evaluation of AlGaInP LEDs reliability based on accelerated tests." Microelectronics Reliability 49.9(11):1240-1243. https://doi.org/10.1016/j.microrel.2009.06.031
  36. Paul Ellerman. 2012. Calculating reliability using FIT & MTTF: Arrhenius HTOL mode. MicroNote 1002.
  37. Qi Li, Sa Wu, and Qian Zhang. 2015. Design of reliability qualification test for an underwater electronic device based on Arrhenius formula. 2015 Prognostics and System Health Management Conference (PHM), IEEE.
  38. Shin, W. G. and Lee, S. H. 2008. A development of accelerated life test method for blower motor for automobile using inverse power law model. International J. of Modern Physics B 22.09n11 1074-1080. https://doi.org/10.1142/S0217979208046347
  39. Son, J. H., Shim, J. S., Bae, Y. H., Kim, W. Y., Kim, J. J., and Kim, C. S. 2022. A Study on the Regression Analysis Method for Predicting the Automobile Door Latch using Minimum Extreme Value Distribution. J. Korean Soc. Mechanical Engineers 2310-2313.
  40. William Q. Meeker, Luis A. Escobar, and Francis G. Pascual. 2022. Statistical methods for reliability data. John Wiley and Sons.
  41. Yu, G. S., Lee, N. R., Yeo, Y. H., and Lee, B. C. 2015. Accelerated Life Prediction of the Rubber for Combat Boots. J. of the Korea Academia-Industrial cooperation Society 16(12):8637-8642. https://doi.org/10.5762/KAIS.2015.16.12.8637
  42. Zhang, C. et al. 2002. Bearing life prognosis under environmental effects based on accelerated life testing. Proceedings of the Institution of Mechanical Engineers Part C: J. of Mechanical Engineering Science, 216(5):509-516. https://doi.org/10.1243/0954406021525304