Filter algorithm for influence functions in the computer controlled polishing of high-quality optical lenses

Schinhaerl, Markus; Rascher, Rolf; Stamp, Richard; Smith, Gordon; Smith, Lyndon; Pitschke, Elmar; Sperber, Peter

doi:10.1016/j.ijmachtools.2006.02.005

Cited by 20 publications

(5 citation statements)

References 11 publications

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“…61 The quality improvement with respect to the peak valley (PV) value of the surfaces polished with the symmetrically rendered influence function was observed to average 14% greater than the PV value improvement of surfaces that were polished with the raw, unmodified influence function. 61 The PV value indicates the difference between the maximum positive (peak) deviation and the maximum negative (valley) deviation of the actual surface in relation to the ideal surface and is a value that is commonly used to judge the quality of the surface. 15 Experimentation has shown that a significant improvement in the polishing quality is only attainable if a symmetrical influence function of a sufficiently high quality is available.…”

Section: Filter Algorithmmentioning

confidence: 97%

Advanced techniques for computer-controlled polishing

et al. 2008

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Computer-controlled polishing has introduced determinism into the finishing of high-quality surfaces, for example those used as optical interfaces. Computer-controlled polishing may overcome many of the disadvantages of traditional polishing techniques. The polishing procedure is computed in terms of the surface error-profile and the material removal characteristic of the polishing tool, the influence function. Determinism and predictability not only enable more economical manufacture but also facilitate considerably increased processing accuracy. However, there are several disadvantages that serve to limit the capabilities of computer-controlled polishing, many of these are considered to be issues associated with determination of the influence function. Magnetorheological finishing has been investigated and various new techniques and approaches that dramatically enhance the potential as well as the economics of computer-controlled polishing have been developed and verified experimentally. Recent developments and advancements in computer-controlled polishing are discussed. The generic results of this research may be used in a wide variety of alternative applications in which controlled material removal is employed to achieve a desired surface specification, ranging from surface treatment processes in technical disciplines, to manipulation of biological surface textures in medical technologies.

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Section: Filter Algorithmmentioning

confidence: 97%

Advanced techniques for computer-controlled polishing

et al. 2008

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“…According to the Preston hypothesis, the material removal can be calculated as the convolution between the dwell time and removal function, which preferably presents a symmetrical Gaussian shape. Reference [28] indicated that a stable symmetrical removal function not only contributes to planing the polishing path, but also helps to optimize the dwell-time distribution. As shown in Fig.…”

Section: A Theoretical Modelingmentioning

confidence: 99%

A Novel Force-Controlled Spherical Polishing Tool Combined With Self-Rotation and Co-Rotation Motion

Huang

Wan

et al. 2020

IEEE Access

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In order to improve the polishing efficiency and aim at the problem that the positioning error of industrial robot will cause the fluctuation of polishing force and the instability of removal function, a novel force-controlled spherical polishing tool combined with self-rotation and co-rotation motion for automatic polishing process is presented. The spherical polishing tool, which is integrated into the end of arm of an industrial robot for workpiece profile polishing has a linear voice coil motor to provide compliance and polishing force in the polishing process. The fluctuation of the polishing force caused by the positioning error of the robot can be effectively reduced, and a stable symmetric Gaussian removal function can be obtained by optimizing the ratio of co-rotation to self-rotation speed of the end-effector. The main advantage of the polishing method is that the polishing force can be actively controlled according to the pre-planned polishing requirements. By measuring the responsiveness and the stability of the polishing force using the proposed end-effector, it is verified that the polishing method can better adapt to the fluctuation of the polishing force and has a good performance in achieving remarkable polishing force tracking. The effectiveness of the proposed polishing method in ensuring the stability of removal function and surface convergence efficiency is verified through polishing experiments. The robotic flexible polishing method has great application prospect in processing large-sized optical components. It significantly improves the precision of polishing force and the surface convergence efficiency of the workpiece. INDEX TERMS Polishing force, robotic flexible polishing, removal function, spherical polishing tool.

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“…As a result, an experimental and theoretical investigation of materials removal characteristics and surface generation in bonnet polishing is undertaken which is basically divided into two parts i. volumetric material removal rate [20]. Bonnet polishing involves forcing a spinning, inflated bonnet, covered with the polishing pad, against the polished surfaces flooded with a liquid slurry of abrasive particles.…”

Section: Introductionmentioning

confidence: 99%