Theoretical and Empirical Investigation of Stochastic Degradation in Machinery Components: A Thermodynamic Approach

机械部件随机降解的理论和实证研究：热力学方法

• 批准号: 9713605
• 负责人: Frederick Ling
• 金额: $ 34.74万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2002-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9713605&HistoricalAwards=false
• 关键词: Theoretical; Empirical; Investigation; Stochastic; Degradation

This project has two central objectives: (1) Development of a thermodynamic characterization of degradation dynamics employing entropy (thermodynamic disorder) as the fundamental measure of degradation, and (2) Development of methods of measurement of state variables that are functionally related to entropy. The research tasks include: application of thermodynamic principles to characterize component degradation and lifetime, characterization of initial component lifetime, development of a mathematical framework for study of stochastic degradation dynamics, and development of methods for measurement of entropy related state variables. Through a theoretical and experimental investigation of degradation in machinery components, the project hopes to advance a scientific understanding of degradation dynamics, leading to improved engineering maintenance practice. This research could build a strong foundation for maintenance science that can potentially impact many manufacturing industries such as the semiconductor and aerospace industries.

该项目有两个中心目标：(1)利用熵（热力学失序）作为退化的基本度量，发展退化动力学的热力学表征；(2)发展与熵在功能上相关的状态变量的测量方法。研究任务包括：应用热力学原理表征部件退化和寿命，表征初始部件寿命，开发用于研究随机退化动力学的数学框架，以及开发熵相关状态变量的测量方法。通过对机械部件退化的理论和实验研究，该项目希望促进对退化动力学的科学理解，从而改进工程维护实践。这项研究可以为维护科学奠定坚实的基础，这可能会影响许多制造业，如半导体和航空航天工业。