Engineering Deployment Teaching Initiative: Mechanical System Design for Reliability -- Technology Deployment

9410680马哈德文确实需要设计工程师能够将设计决策过程与产品可靠性联系起来，以支持定量评估、更有效地利用实验以及关于生产过程和变量的工程规范。同样重要的是，设计工具要容易地集成到设计过程中。部署战略在定义和评估所部署的技术时有效地利用了行业。它还利用计算机网络、研讨会和会议向大学和行业快速传播这项技术。将开发的教育材料包括方法的完整描述、以视图形式的演示材料、用于电子表格计算的简化工作模型、具有用于概率设计分析的若干选项的计算机程序以及例题。这项工作将通过教育基础设施向工业中的机械设计社区部署基于计算的工具的现成技术，用于基于可靠性的设计分析。所开发的技术已被发现是机械系统可靠性的通用技术，并已被证明在设计过程中直接可用，而不需要广泛的统计学和概率方法知识。它使设计者能够计算设计不确定性，如任何合理的设计极限条件的失效概率，并将许多这样的设计极限条件组合成系统可靠性的一般估计。在每一步，设计者都会得到关于产品不可靠性和设计可信度的关键驱动因素的直接反馈，从而促进重新设计以提高可靠性。

9410680 Mahadevan There is a real need for design engineers to be able to link the design decision making process with product reliability in a way that supports quantitative evaluation, more effective use of experiments, and engineering specifications on production processes and variables. It is also important that design tools be easy to integrate in the design process. The deployment strategy makes effective use of industry in the definition and evaluation of the deployed technology. It also uses computer networks, workshops, and conferences for rapid dissemination of the technology to universities and industry. The educational materials to be developed include a full description of the methodology, presentation material in the form of view graphs, simplified working models for spreadsheet calculations, a computer program with several options for probabilistic design analysis, and example problems. This effort will deploy a ready technology of computationally-based tools for reliability-based design analysis to the mechanical design communities in industry through an educational infrastructure. The developed technology has been found to be generic for mechanical systems reliability and has been shown to be directly usable in the design process without extensive knowledge of statistics and probability methods. It enables the designer to compute design uncertainties such as the probability of failure for any sensible design limit condition and to combine a number of such design limit conditions into a generalized estimate of system reliability. At every step, the designer is given direct feedback on the critical drivers of product unreliability and design confidence levels, facilitation re-design for enhanced reliability.