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SBIR Phase I: Innovative Assessment of Induced Subsurface Stress in Single Crystal Materials Using Photon Induced Positron Annihilation (PIPA)

SBIR 第一阶段：利用光子诱发正电子湮没 (PIPA) 对单晶材料中的诱发次表面应力进行创新评估

基本信息

批准号：
0231563
负责人：
Jagoda Urban-Klaehn
金额：
$ 9.87万
依托单位：
Positron Systems, Inc.
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2003
资助国家：
美国
起止时间：
2003-01-01 至 2003-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0231563&HistoricalAwards=false
关键词：
SBIR Phase Innovative Assessment Induced

项目摘要

This Small Business Innovation Research (SBIR) Phase I project will perform research aimed atcharacterizing subsurface residual stresses induced through surface treatments in singlecrystal and complex polycrystalline materials. Photon Induced Positron Annihilation(PIPA) will be used to quantify subsurface residual stress in single crystal materials and operational components subjected to high stress/high temperature environments. PIPA as a nondestructive material characterization technology has the potential to provide quantifiable, empirical data on atomic level, lattice structure changes in advanced metallic/intermetallic alloys used for critical component applications that result in failure. Commercially, government and industry spend billions of dollars each year in the maintenance and repair of components and systems. Many of the maintenance procedures are based upon conservative engineering models instead of actual empirical data, leading to early replacement of components, accelerated maintenance cycles, and a reactive versus proactive approach to failure mechanisms. PIPA provides real-time, empirical information on material characterization, redefining conservative prediction models and supplying decision makers with the hard data to evaluate materials and components for extension or replacement considerations, based upon the actual assessment of material damage.

这个小企业创新研究（SBIR）第一阶段项目将进行研究，旨在表征表面处理引起的表面下的残余应力在正晶体和复杂的多晶材料。光子诱导正电子湮没（PIPA）将用于量化在高应力/高温环境下的单晶材料和操作组件的表面下残余应力。PIPA作为一种非破坏性材料表征技术，有可能提供原子水平的可量化的经验数据，用于导致失效的关键部件应用的先进金属/金属间合金的晶格结构变化。在商业上，政府和工业每年花费数十亿美元用于维护和修理组件和系统。许多维护程序是基于保守的工程模型，而不是实际的经验数据，导致早期更换组件，加速维护周期，并采取被动而非主动的方法来解决故障机制。PIPA提供有关材料特性的实时经验信息，重新定义保守的预测模型，并根据材料损坏的实际评估，为决策者提供硬数据，以评估材料和组件的扩展或更换考虑。