Research Initiation: Estimation and Compensation of Quasistatic Machine-Tool Errors

研究启动：准静态机床误差的估计与补偿

• 批准号: 8809449
• 负责人: Placid Ferreira
• 金额: $ 7万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-08-01 至 1991-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8809449&HistoricalAwards=false
• 关键词: Research; Initiation; Estimation; Compensation; Quasistatic

This research addresses the problem of software compensation of quasistatic machine-tool errors. These errors are estimated to account for about 70% of the total errors of a machine-tool. A method to compensate such errors, therefore, has the potential for bringing about tremendous improvements in the machine's accuracy. Software error compensation approaches are very economical but not very effective because of a lack of proper models for understanding the error generation and propagation process. A goal of this research is to develop a framework for mathematically modeling quasistatic errors. In the actual application of such models in compensation schemes, the model's parameters have to be regularly updated (to account for the slow variations). Preliminary results have indicated that it is possible with a few measurements in the machines workspace. This forms the basis of a practical and cost-effective method of estimating and compensating quasistatic errors to improve the accuracy of machine-tools. Studies to generalize this approach will also be included in this project.

本研究针对软体补偿的问题 准静态的机床误差。 这些误差估计 约占机床总误差的70%。 因此，补偿这种误差的方法具有潜在的 为机器带来了巨大的改进 精度 软件误差补偿方法是非常 经济，但由于缺乏适当的 用于理解错误生成和传播的模型 过程 本研究的一个目标是建立一个框架， 准静态误差的数学建模。 在实际 在补偿方案中应用这些模型，模型的 必须定期更新参数（以说明 变化）。 初步结果显示， 在机器的工作空间中进行几次测量即可实现。 这 形成了一个实用和具有成本效益的方法的基础， 估计和补偿准静态误差， 机床的精度。 推广这种方法的研究 也将纳入该项目。