NSF Young Investigator: Machine Tool Accuracy Enhancement

NSF 青年研究员：机床精度增强

• 批准号: 9358138
• 负责人: John Ziegert
• 金额: $ 31.25万
• 依托单位: University of Florida
• 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: 1993-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9358138&HistoricalAwards=false
• 关键词: NSF; Young; Investigator; Machine; Tool

9358138 Ziegert This research project will consider the dual problems of accuracy assessment and accuracy enhancement. In principle, if the positioning errors at each location in the workspace of the machine are known in advance, they can be corrected in software. To accomplish this, the causes of the errors must be isolated and studied. These error sources include manufacturing tolerances of the machine slides, deformations caused by heat, and deflections due to gravity. Software based error correction offers a large potential economic payback. Commodity grade machine tools may be able to achieve substantially higher accuracy levels at a very modest cost, thus making them competitive with more expensive machines specifically designed for high precision work. Successful completion of this research project may help the US machine tool companies to regain a competitive advantage.

小行星9358138 本研究计画将考虑精确度评估与精确度提升的双重问题。 原则上，如果预先知道机器工作空间中每个位置的定位误差，则可以在软件中对其进行校正。 要做到这一点，必须隔离和研究错误的原因。 这些误差源包括机床滑块的制造公差、热引起的变形和重力引起的偏转。 基于软件的纠错提供了巨大的潜在经济回报。 商品级机床可能能够以非常适中的成本实现显著更高的精度水平，从而使它们与专门为高精度工作设计的更昂贵的机器相比具有竞争力。 这一研究项目的成功完成可能有助于美国机床企业重新获得竞争优势。