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

过去的研究已经为边缘、平面、圆形和圆柱特征开发了合适的参数化，结合线性和非线性最小二乘拟合，允许对许多几何公差(形状位置、方向、位置)以及传统的直接公差进行统计估计。此外，还开发了用于2D检查任务的CAD数据库的离线编程能力。这项研究现在将扩展到实现以下目标：开发确定零件可接受性的序贯抽样方法和成本模型；开发正确估计零件基准的方法；纳入系统特征偏差和机械误差；将方法扩展到其他特征，如雕刻面和复合公差；开发探头选择、零件夹具和定位的方法；调查支持自动离线编程的PDES/STEP标准的使用情况；在制造质量实验室实施和测试利用触觉和光学三坐标测量机的方法，并将其应用于零件检测和过程控制。

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.