Remnant Life Assessment based on the Small Punch Test and the Wilshire Equations

基于小冲孔试验和 Wilshire 方程的剩余寿命评估

• 批准号: 1939639
• 金额: --
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1939639
• 关键词: Remnant; Life; Assessment; based; Small

The Wilshire equations have been widely applied to uniaxial creep test data on a wide range of steel alloys used in power generation and on some Titanium alloys used in aero engines. In all these studies, it has been possible to obtain accurate long-term life predictions from very short-term accelerated uniaxial tests. This suggests that these equations adequately capture the main creep deformation processes.However, such uniaxial testing cannot be done on components already in use without causing a deterioration in the structural integrity of that part. The small punch test, that uses thin slices of material cut from in use parts, has been put forward as a means of determining remanent life. Numerical models on 1/2Cr1/2Mo1/4V steel have also demonstrated that this test is sensitive to pre-existing damage and so offers the potential to accurately determine this remanent life. Such information is currently invaluable as many power plants within the UK are approaching their original design lives, and the growing potential energy gap within the UK is creating pressure to extend the use of these aging plants.***** The improved correlation between SP and conventional creep data is ESSENTIAL to underpin data previously generated under numerous Stratigic Partnership Core Research and post graduate projects. *****

Wilshire方程已被广泛应用于各种发电用钢合金和航空发动机用钛合金的单轴蠕变试验数据。在所有这些研究中，从非常短期的加速单轴试验中获得准确的长期寿命预测是可能的。这表明这些方程充分反映了主要的蠕变变形过程。然而，这种单轴试验不可能在不导致部件结构完整性恶化的情况下对已在使用的部件进行。小冲压试验是使用从使用中的零件上切下的薄片材料，已经被提出作为确定剩余寿命的一种手段。对1/2Cr1/2Mo1/4V钢的数值模型也表明，这项试验对预先存在的损伤很敏感，因此有可能准确地确定这一剩余寿命。这些信息目前是无价的，因为英国境内的许多发电厂正在接近其最初的设计寿命，而英国国内日益扩大的潜在能源缺口正在产生延长这些老化电厂使用期限的压力。*SP和传统蠕变数据之间的改善相关性对于支持之前在许多StratiEnergy Partnership核心研究和研究生项目下生成的数据至关重要。*****