Calculation of MRF influence functions

被引：7

作者：

Schinhaerl, Markus ^{[1
,2
]}

Smith, Gordon ^{[2
]}

Geiss, Andreas ^{[1
]}

Smith, Lyndon ^{[2
]}

Rascher, Rolf ^{[1
]}

Sperber, Peter ^{[1
]}

Pitschke, Elmar ^{[1
,2
]}

Stamp, Richard ^{[2
]}

机构：

[1] Univ Appl Sci Deggendorf, Edlmairstr 6 8, D-94469 Deggendorf, Germany

[2] Univ West England, Bristol, Avon, England

来源：

OPTICAL MANUFACTURING AND TESTING VII | 2007年 / 6671卷

关键词：

magnetorheological finishing; MRF; influence function; polishing tool characteristic; computer-controlled polishing; CCP;

D O I：

10.1117/12.730806

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Magnetorheological. finishing (MRF) is a commonly used computer-controlled polishing (CCP) technique for high precision optical surfaces. The process is based on a magnetorheological abrasive fluid, which stiffens in a magnetic field and may be employed as a sub-aperture polishing tool. Dependent upon the surface error-profile Of the workpiece and the polishing tool characteristic (influence function) an individual polishing procedure is calculated prior to processing. However, determination of the influence function remains a time consuming and laborious task. A user friendly and easy to use software tool has been developed, which enables rapid computation of MRF influence functions dependent on the MRF specific parameters, such as, magnetic field strength or fluid viscosity. The software supersedes the current cumbersome and time consuming determination procedure and thus results in considerably improved and more economical manufacture. In comparison with the conventional time period of typically 20 minutes to ascertain an influence function, it may now be calculated in a few seconds. An average quality improvement of 57% relating to the peak-valley (PV) value, and approximately 66% relating to the root-mean-square (RMS) of the surface error-profiles was observed during employment of the artificial computed influence functions for polishing.

引用

页数：12

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