Faculty Awards for Women: Tolerance Evaluation Algorithms and Effective Inspection Procedures for Coordinate Measuring

过去的研究已经为边缘开发了合适的参数化， 平面、圆形和圆柱形特征， 线性和非线性最小二乘拟合，允许统计 许多几何公差的估计（形状位置，方向， 位置）以及常规的直接公差。 此外，本发明还提供了一种方法， 从CAD数据库离线编程能力， 检查任务已经制定。 这项研究将在 扩展到实现以下目标： 序贯抽样方法和成本模型，以确定 零件的可接受性;开发正确评估的方法 零件基准;包括系统特征偏差和机器 错误;将方法扩展到其他功能，例如 雕刻表面和复合公差;制定方法 探头选择、部件固定和方向;调查 使用PDES/STEP标准支持自动脱机 编程;并利用 制造质量实验室中的触觉和光学CMM，以及 将其应用于零件检查和过程控制。

Past research has developed suitable parameterizations for edges, planes, circular and cylindrical features that, in combination with linear and nonlinear least squares fits, allow statistical estimates of many geometric tolerances (form position, orientation, location) as well as conventional direct tolerances. In addition, offline programming capability from a CAD data base for 2D inspection tasks has been developed. This research will now be extended to accomplish the following objectives: develop a sequential sampling methodology and a cost model for determining acceptability of a part; develop methods for correctly estimating part datums; incorporate systematic feature deviations and machine error; extend the methodologies to other features such as sculptured surfaces and composite tolerances; develop methods for probe selection, part fixturing and orientation; investigate the use of the PDES/STEP standards in support of automatic offline programming; and implement and test the methods utilizing the tactile and optical CMM's in the Manufacturing Quality Lab, and apply them to both part inspection and process control.