Determination of a suitable parameter field for the active fluid jet polishing process
Determination of a suitable parameter field for the active fluid jet polishing process
复制标题
主动流体喷射抛光工艺合适参数场的确定
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
C. Wünsche
中科院分区：
文献类型：
--
作者：
R. Maurer;H. Biskup;C. Trum;R. Rascher;C. Wünsche
2012年，高精度光学领域的一家知名公司委托应用科学大学德根多夫为主动流体喷射抛光(AFJP)工艺确定合适的参数范围，以达到至少lambda/5的表面精度。主动流体喷射抛光是一种相对较新的、经济实惠的亚孔抛光工艺。为了快速而准确地识别参数场，必须经过深思熟虑的实验设计。可用的控制变量是喷嘴的转速、测试对象与喷嘴之间的距离、进给速度、喷嘴内销的材料和测试对象本身的材料。一方面，为了达到显著的数据密度，另一方面，为了最小化测试运行的次数，选择了曲折形状的刀具路径。在每个空白处已经驱动了九个路径，从而在每个路径处拾取了另一个参数组合。因此，对于只有一个测试对象的情况，可以评估九个参数设置。为了实现轨道的自动化分析，开发了一个软件工具。该软件评估与测试镜头上的九个轨道垂直相交的十个部分。每一段的重要测量参数是每条路径的宽度和高度以及抛光轨道内的表面粗糙度。借助于这些参数和进一步的统计评估，确定了用于找到恒定和可预测的去除点的目标的合适的参数域。此外，到目前为止，已经成功完成了60多次测试，每种情况下都有9个参数组合。因此，手工测试评估将非常耗时，而软件极大地方便了它。
In 2012 a well-known company in the field of high precision optics assigned the University of Applied Sciences Deggendorf to determine a suitable parameter field for the active fluid jet polishing (AFJP) process in order to reach a surface accuracy of at least lambda / 5. The active fluid jet polishing is a relatively new and an affordable sub-aperture polishing process. For a fast and precise identification of the parameter field a considered design of experiment is necessary. The available control variables were the rotational speed of the nozzle, the distance between the test object and the jet, the feed rate, the material of the pin inside the nozzle and the material of the test object itself. In order to reach a significant data density on the one hand and to minimize the number of test runs on the other hand a meander shaped tool path was chosen. At each blank nine paths had been driven whereby at each path another parameter combination was picked. Thus with only one test object nine parameter settings may be evaluated. For the automatized analysis of the tracks a software tool was developed. The software evaluates ten sections which orthogonally intersect the nine tracks on the test-lens. The significant measurement parameters per section are the width and the height of each path as well as the surface roughness within the polished tracks. With the aid of these parameters and further statistical evaluations a suitable parameter field for the goal to find a constant and predictable removal spot was determined. Furthermore up to now over 60 test runs have been successfully finished with nine parameter combinations in each case. As a consequence a test evaluation by hand would be very time-consuming and the software facilitates it dramatically.