Deterministic figuring theory and optimization method based on actively controllable time-variant tool influence function

IF 6.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Bo Wang , Zhiqiang Zhang , Ci Song , Jianglin Long , Zhaoyang Jiang , Feng Shi , Guipeng Tie , Wanli Zhang , Xing Peng
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引用次数: 0

Abstract

The surface quality and accuracy of the workpiece after sub-aperture polishing are heavily dependent on the accuracy of the dwell time distribution and the size of the tool influence function (TIF). Therefore, there is a high requirement for the dynamic performance of the machine tool to achieve dwell time. This is an inherent problem of computer controlled optical surfacing (CCOS). The additional material removal layer introduced to avoid the negative value of the dwell time or the limitation of the dynamic performance of the machine tool will greatly reduce the processing efficiency and accuracy. In this study, an actively controllable time-varying tool influence function (CTV-TIF) processing method is proposed. The time constraint is liberated by actively controlling the spatial dimension of TIF. By establishing a global optimization algorithm for the dwell time distribution of the adaptive TIF, the deterministic machining process with high figuring ability and not constrained by the dynamic performance of the machine tool can be realized. Compared with the time-invariant tool influence function (TI-TIF) processing, the efficiency of the CTV-TIF method is increased by 65.9 %, and the residual surface shape error after processing is increased by 96.7 %, and the high gradient surface shape error distribution is better suppressed. This method can be perfectly combined with rotating water jet polishing to make the TIF time-varying. The experimental results show that the processing method of CTV-TIF can significantly improve the figuring efficiency of low frequency error, and has better figuring ability for the position where the gradient of surface shape error changes rapidly, so as to obtain higher precision surface shape. In addition, the proposed method can be applied to other sub-aperture polishing processes that are expected to achieve time-varying TIF and improve the existing sub-aperture polishing technology.

Abstract Image

基于主动可控时变刀具影响函数的确定性造型理论及优化方法
子孔径抛光后工件的表面质量和精度在很大程度上取决于停留时间分布的精度和工具影响函数(TIF)的大小。因此,要实现停留时间,对机床的动态性能有很高的要求。这是计算机控制光学表面(CCOS)的固有问题。为了避免停留时间的负值或机床动态性能的限制而引入的附加材料去除层将大大降低加工效率和精度。本文提出了一种主动可控时变刀具影响函数(CTV-TIF)加工方法。通过主动控制TIF的空间维度,解放了时间的限制。通过建立自适应TIF停留时间分布的全局优化算法,可以实现不受机床动态性能约束、具有高加工能力的确定性加工过程。与时不变刀具影响函数(TI-TIF)处理相比,CTV-TIF方法的效率提高了65.9%,处理后的残余曲面形状误差提高了96.7%,且高梯度曲面形状误差分布得到了较好的抑制。该方法可以与旋转水射流抛光完美结合,使TIF具有时变特性。实验结果表明,CTV-TIF处理方法可以显著提高低频误差的计算效率,对曲面形状误差梯度变化较快的位置具有较好的计算能力,从而获得更高精度的曲面形状。此外,该方法还可应用于其他期望实现时变TIF的子孔径抛光工艺,对现有子孔径抛光技术进行改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Manufacturing Processes
Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-
CiteScore
10.20
自引率
11.30%
发文量
833
审稿时长
50 days
期刊介绍: The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
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