Ultrasonic Inspection POD for Inclusions within Powder Metallurgical Turbine Disks
摘 要
缺陷的检出概率是零件损伤容限设计和寿命预测的重要基础数据。针对发动机中的关键转动件——粉末涡轮盘中的夹杂缺陷,进行了超声检出概率研究。制作了不同埋深不同孔径的平底孔人工缺陷试样,模拟粉末盘中的非金属夹杂缺陷。采用6组探头的超声水浸分区聚焦检测工艺对上述人工缺陷试样进行检测,获得了不同缺陷的超声检出概率数据,并绘制出缺陷检出概率(POD)曲线。结果表明,采用特定的检测工艺,在95%的置信水平下,以90%概率检出的缺陷当量尺寸为0.167 mm。
Abstract
The probability of detection (POD) of defects are fundamental data for the damage tolerance design and serving life prediction. In this work, the POD of ultrasonic inspection was investigated for inclusions within powder metallurgical turbine disks, which are vital rotating parts of aeroengines. Artificial FBH samples were fabricated with different diameters and buried depths, as mock-up for non-metallic inclusions in disks. The zoned ultrasonic immersion inspection procedures by 6 sets of ultrasonic probes were used for the inspection of the above-mentioned samples, and the statistical data of POD for different artificial defects were acquired, based on which a POD curve of probability versus defects sizes were drawn. The results tell that for this specific inspection procedure, the equivalent detectable defect size at a probability of 90% is 0.167mm, giving 95% confident level.
中图分类号 TG115.28 DOI 10.11973/wsjc201904005
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(51175113,51575134)
收稿日期 2018/12/22
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备注沙正骁(1985-),男,工程师,硕士,主要从事无损检测技术研究
引用该论文: SHA Zhengxiao,GANG Tie,LIANG Jing. Ultrasonic Inspection POD for Inclusions within Powder Metallurgical Turbine Disks[J]. Nondestructive Testing, 2019, 41(4): 24~29
沙正骁,刚铁,梁菁. 粉末涡轮盘夹杂缺陷的超声检出概率[J]. 无损检测, 2019, 41(4): 24~29
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【2】WALL M, BURCH S, LILLEY J. Human factors in POD modelling and use of trial data[J]. Insight Non-Destructive Testing and Condition Monitoring, 2009, 51(10):553-561.
【3】BERTOVIC M, GAAL M, MVLLER C, et al. Investigating human factors in manual ultrasonic testing:testing the human factors model[J]. Insight Non-Destructive Testing and Condition Monitoring, 2011, 53(12):673-676.
【4】GRANDT F. Damage tolerant design and nondestructive inspection-keys to aircraft airworthiness[J]. Procedia Engineering, 2011, 17(S):236-246.
【5】RUMMEL W D. Nondestructive inspection reliability-history, status and future path[C]//18th World Conference on Nondestructive Testing. Durban:[s.n]. 2010.
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【7】THOMPSON R B, BRASCHE L J, FORSYTH D S, et al. Recent advances in model-assisted probability of detection[C]//The Proceedings of the 4th European-American Workshop on the Reliability of NDE. Berlin:[s.n], 2009.
【8】HAAPALAINEN J, LESKELÄ E. Probability of detection simulations for ultrasonic pulse-echo testing[C]//18th World Conference on Nondestructive Testing. Durban:[s.n]. 2010.
【9】JOYNER M L. A numerical study of the POD method in NDE[J]. Applied Mathematics and Computation, 2006, 174(1):732-754.
【10】ROSELL A. Efficient finite element modelling of eddy current probability of detection with transmitter-receiver sensors[J]. NDT & E International, 2015, 75(S):48-56.
【11】CHAPUIS B, JENSON F, CALMON P, et al. Simulation supported POD curves for automated ultrasonic testing of pipeline girth welds[J]. Welding in the World, 2014, 58(4):433-441.
【12】PAVLOVIC M, MUELLER C, EWERT U, et al. Safe product design-the role of the NDT reliability analysis[J]. Materials Testing,2013,55(4):270-275.
【13】NOTGHI B, AHMADPOOR M, BRIGHAM J C. Adaptive reduced-basis generation for reduced-order modeling for the solution of stochastic nondestructive evaluation problems[J]. Computer Methods in Applied Mechanics and Engineering, 2016, 310(S):172-188.
【14】SUBAIR S M, BALASUBRAMANIAM K, RAJAGOPAL P. Finite element simulations to predict probability of detection (PoD) curves for ultrasonic inspection of nuclear components[J]. Procedia Engineering, 2014, 86(S):461-468.
【15】SYED AKBAR ALI M S, KUMAR A, RAO P, et al. Bayesian synthesis for simulation-based generation of probability of detection (PoD) curves[J]. Ultrasonics, 2018, 84(S):210-222.
【16】俞佳,张春晓, 孙宇博. 无损检测技术可靠性的贝叶斯评估[J]. 焊接, 2015(8):38-42,75.
【17】冯振宇,李振兴. 基于可靠性的裂纹检出概率曲线测定方法[J]. 无损检测, 2010, 32(4):67-70.
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