Probabilistic Dynamic Errors in Internal Combustion Engines

内燃机中的概率动态误差

• 批准号: 9301597
• 负责人: Alok Sinha
• 金额: $ 10万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-05-15 至 1995-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9301597&HistoricalAwards=false
• 关键词: Probabilistic; Dynamic; Errors; Internal; Combustion

This research project deals with probabilistic methods of tolerance analysis for mechanical systems subjected to discontinuity forcing functions. The dynamic equations are solved using the alternating frequency/time domain method. The statistics is evaluated by determining the partial derivatives of the Fourier coefficients with respect to the random variables which, in this research, are link length tolerances and pin locations. These are representative of design variables of link length tolerances, radial clearances and associated tolerances. A nonlinear constrained optimization problem is solved in order to maximize the variances of tolerances, while satisfying the specified constraints. The results of this research lead to the development of an analysis and design tool for tolerance allocation in a dynamic system such as an internal combustion engine.***//

本研究项目涉及的概率方法， 机械系统公差分析 不连续强迫函数求解了动力学方程 使用交替频率/时间域方法。的 通过确定以下项的偏导数来评估统计 关于随机变量的傅立叶系数 在本研究中，这是链接长度公差和销 地点这些是链路设计变量的代表 长度公差、径向间隙和相关公差。一 求解非线性约束优化问题， 最大化公差的方差，同时满足 指定的约束。这项研究的结果导致了 公差分析与设计工具的开发 在诸如内燃机的动态系统中的分配 引擎。*/