A New Method for Selective Assembly

选择性组装的新方法

• 批准号: 9610532
• 负责人: Warren DeVries
• 金额: $ 12.28万
• 依托单位: Iowa State University
• 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: 1997-08-01 至 2000-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9610532&HistoricalAwards=false
• 关键词: New; Method; Selective; Assembly

This grant provides funding for the development of a new method for selective assembly in manufacturing to allow the use of low precision mating parts to achieve high precision mechanical products. The new method will provide a mathematical model to predict the matchable degree of mating parts before assembly, and correspondingly a quantitative criterion on how to adjust manufacturing processes so that the desired match between mating parts could be guaranteed. A recursive algorithm will be developed and implemented in design of selective assembly for optimally allocating the machining tolerance range for each selective group to achieve the minimum surplus parts. Experimental work and industrial testing will be carried out to validate and further improve the new method developed. If successful, the results of this research will have a significant impact on manufacturing industries to improve their competitiveness through reduced manufacturing production cost of mechanical parts. The results will also provide effective integration of design, manufacture and assembly of mating parts that have high fit accuracy requirements. Specifically, the outcomes of the research project will provide a completely new yet much more effective way to design for selective assembly with the capability to improve mechanical product performance by achieving tighter tolerances at lower cost. In particular, the proposed new selective assembly method will have a significant economical impact on small-business industries to achieve high precision mechanical products based on their limited manufacturing facilities.

这笔赠款提供资金，用于开发一种在制造中进行选择性组装的新方法，以允许使用低精度匹配部件来实现高精度机械产品。该方法将为装配前预测匹配零件的匹配度提供一个数学模型，并相应地为如何调整制造工艺以保证匹配零件之间的期望匹配提供一个定量的判据。提出了一种递归算法，并将其应用于精选装配设计中，以优化分配各精选组的加工公差范围，以获得最小的余量零件。将进行实验工作和工业测试，以验证和进一步改进所开发的新方法。如果研究成功，本文的研究成果将对制造业通过降低机械零部件制造生产成本来提高竞争力产生重大影响。结果还将提供设计、制造和装配具有高配合精度要求的配合零件的有效集成。具体地说，该研究项目的成果将提供一种全新的、更有效的设计选择性组装的方法，能够通过以更低的成本实现更严格的公差来提高机械产品的性能。特别是，提出的新的选择性装配方法将对小企业利用有限的制造设施实现高精度机械产品的经济产生重大影响。