Optimal Tolerancing: The Link Between Design and Manufacturing Productivity

最佳公差：设计与制造生产力之间的联系

• 批准号: 9261089
• 负责人: Mark Iannuzzi
• 金额: $ 5万
• 依托单位: Applied Computer Solutions
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-01-01 至 1993-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9261089&HistoricalAwards=false
• 关键词: Optimal; Tolerancing; Link; Between; Design

A computational design tool will be developed which will allow for optimal tolerance allocation for mechanical and electrical components. The basic approach is to couple a nontraditional optimization method with a Monte Carlo based tolerance analysis code. The ability to allocate tolerances in an optimal fashion will allow an installed capital base to be utilized in the most productive fashion. A successful application of the technique will have a dramatic impact on reducing manufacturing cost and product cycle times as well as increasing productivity, quality and customer satisfaction. Current tolerance analysis used in industry does not provide the ability to allocate tolerances in an optimal fashion. Traditional nonlinear programming methods are not robust enough to solve the complex problem resulting from the consideration of a "real" component or assembly. The combination of the genetic algorithm with a tolerance analysis package offers an attractive alternative which will run efficiently on a parallel or distributed computing network. Initial consideration will be placed on discrete tolerance limit optimization. The applicability to modifying nominal dimensions and assembly sequence will also be investigated.

将开发一种计算设计工具，以允许机械和电气部件的最佳公差分配。基本方法是将一种非传统的优化方法与基于蒙特卡罗的公差分析代码相结合。以最佳方式分配公差的能力将允许以最有效的方式利用已安装的资本基础。该技术的成功应用将对降低制造成本和产品周期时间以及提高生产率、质量和客户满意度产生巨大影响。目前工业中使用的公差分析不能提供以最佳方式分配公差的能力。传统的非线性规划方法鲁棒性不足，无法解决由于考虑“真实”部件或装配而产生的复杂问题。遗传算法与容差分析包的结合提供了一种有吸引力的替代方案，它将在并行或分布式计算网络上高效运行。最初的考虑将放在离散公差极限优化。对修改标称尺寸和装配顺序的适用性也将进行研究。