Verification of Complex Forms Using Coordinate Metrology

使用坐标计量验证复杂形状

• 批准号: 0217563
• 负责人: Shivakumar Raman
• 金额: --
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0217563&HistoricalAwards=false
• 关键词: Verification; Complex; Forms; Using; Coordinate

This research will examine sampling and zone estimation within an integrative framework for the form verification of cone, sphere and torus features. The objective is to develop a comprehensive and integrative approach to the inspection of these complex forms using coordinate metrology. Individual research problems within this integrative context include sample point location determination for complex forms using alternative strategies, probe path length optimization, and minimum zone estimation using alternate formulations and solution methodologies. The impact of sample size and strategy and the optimization method used will be assessed on the computed tolerance zone. Experiments will be conducted on actual Coordinate Measuring Machines and the role of multiple factors and their interactions determined. The applicability of appropriate models and methods for specific part inspection problems will be suggested through a decision support software system that will be developed using the research results. A 'guidelines' repository will be attempted for effective dissemination of research findings. Research will be deployed to education, through multiple channels, throughout the project. Sufficient number of industrial parts such as nozzles, frustrum cylinders, dies, tapered holes, and balls, tapered rollers and roller races in bearings possess complex features that must be efficiently inspected for form. Considering these applications of complex features, and their impact on interchangeability, it is logical that these features be studied more exclusively and extensively. If successful, this project will lead to better standards and solutions for complex feature verification. Further, the mathematical developments for these advanced forms will be useful to other inspection methodologies. In addition, the integrative analysis will be useful to the development of formal guidelines for part-based inspection.

本研究将在一个综合框架内检查圆锥体，球体和环面特征的形状验证的采样和区域估计。 我们的目标是开发一个全面和综合的方法来检查这些复杂的形式，使用坐标计量。 在这种综合性的背景下，个人的研究问题包括样本点位置确定复杂的形式，使用替代策略，探头路径长度优化，最小区域估计使用替代配方和解决方案的方法。将评估样本量和策略以及所用优化方法对计算公差带的影响。 实验将在实际的坐标测量机上进行，并确定多个因素及其相互作用的作用。 将通过使用研究结果开发的决策支持软件系统来建议特定零件检测问题的适当模型和方法的适用性。 将尝试建立一个“指导方针”储存库，以便有效地传播研究结果。 在整个项目中，研究将通过多种渠道部署到教育领域。 足够数量的工业零件，如喷嘴、截头圆柱体、模具、锥形孔、滚珠、圆锥滚子和轴承中的滚道，具有复杂的特征，必须对其进行有效的形状检查。 考虑到复杂特征的这些应用及其对可兼容性的影响，对这些特征进行更专门和更广泛的研究是合乎逻辑的。 如果成功，该项目将为复杂的功能验证带来更好的标准和解决方案。 此外，这些先进形式的数学发展将是有用的其他检查方法。 此外，综合分析将是有用的，以制定正式的准则，以零件为基础的检查。