Datum transformation analysis for production part approval using 3D non-contact measurement

This paper presents a comprehensive dimensional validation methodology, known as datum transformation analysis (DTA). The DTA approach utilizes 3D non-contact (3DNC) measurement to obtain a full part dimensional representation at all critical matching interfaces of a part assembly to the vehicle. Next, a part measurement re-alignment process is applied to identify new positions for the assembly datum locators that optimize the overall product quality at these matching interfaces. Next, datum locations are adjusted at the component level (at the same physical location as the corresponding assembly) to improve mean conformance of the assembly dimensions. The adjustments to the datum locators at the component level are not necessarily made to improve component quality, but rather to optimize final part assembly. This DTA methodology is demonstrated using an automotive headlamp assembly. In this case study, we identify tooling rework moves using DTA to increase the percent of critical assembly dimensions whose mean values are within ±0.25 millimeters from 20% to 90%.Visteonhttp://deepblue.lib.umich.edu/bitstream/2027.42/61819/1/102172.pd