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THE LIFING OF CRITICAL ROTATING PARTS: SCIENCE OR TECHNOLOGY?

机译:关键旋转零件的抬起:科学还是技术?

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摘要

Traditionally safe life prediction in the engine has been based on component testing. This has the advantage that not only is the material with the correct surface condition tested, but also representative volumes of material are involved. Correlation of specimen and component testing in a DataBank method allows the statistical variation in all fatigue testing to be captured thus allowing a higher fraction of the life achieved in the component test to be utilised in service. To date, however, these methods are semi-scientific, recognising the difficulty of capturing surface condition and volume effects. Advancing the methods for modern materials and conditions requires improvements in stressing methods, while the life prediction once the temperature and stress cycles are evaluated remains based on the experimental measurement of material and surface condition fatigue capability. This paper examines the methods used to predict the safe cyclic life of such components, taking a particular interest in how these methods can be expected to cope with modern requirements which use higher strength materials at higher temperatures to produce engines which meet today's demands for higher fuel efficiency and lower weight.
机译:传统上,发动机的安全寿命预测是基于组件测试的。这样做的好处是,不仅要测试具有正确表面状态的材料,还要包括代表体积的材料。使用DataBank方法进行样品和组件测试的相关性可以捕获所有疲劳测试中的统计差异,从而使在组件测试中达到的使用寿命中的更高部分可以投入使用。然而,迄今为止,这些方法是半科学的,认识到捕获表面状况和体积效应的困难。推进现代材料和条件的方法需要改进应力方法,而一旦评估了温度和应力循环,就可以根据材料和表面条件疲劳能力的实验测量结果来预测寿命。本文研究了用于预测此类部件安全循环寿命的方法,并特别关注如何期望这些方法满足现代要求,即在高温下使用强度更高的材料生产满足当今对更高燃油需求的发动机的现代要求效率高,重量轻。

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