通过现场特征识别方法提高各向异性圆形金刚石工具超精密磨削的可控性

IF 6.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Ruitao Zhang , Zhanfeng Wang , Zengqiang Li , Rongkai Tan , Junjie Zhang , Tao Sun
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引用次数: 0

摘要

金刚石工具的传统机械磨削方法以恒定压力为特征,并受到单晶金刚石明显各向异性的影响,在精确控制工具侧面的材料去除率方面面临挑战。这导致了加工质量和效率的不确定性。为了实现圆角金刚石切削工具的超精密制造,本研究对材料去除率的各向异性特征进行了细致的探索。该研究提出了一种创新的原位特征识别方法,用于确定具有可控去除率的超精密磨削过程的工艺参数。实验研究仔细检查了模型与进给导轨输出电流信号之间的复杂关系。值得注意的是,通过动态调节导轨的输出电流,可控磨削工艺成功实现了超精密刀具的生产,其显著的轮廓误差为 50 nm。这些发现为超精密加工,尤其是应对各向异性金刚石材料带来的挑战提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing controllability in ultra-precision grinding of anisotropic rounded diamond tools through an in situ feature identification approach
The conventional mechanical grinding approach for diamond tools, which is characterised by constant pressure and influenced by the pronounced anisotropy of single-crystal diamonds, faces challenges in precisely controlling the material removal rate on the tool’ flank face. This leads to uncertainties in both the processing quality and efficiency. To achieve ultra-precision manufacturing of rounded diamond cutting tools, this study meticulously explored the anisotropic characteristics of the material removal rate. An innovative in situ feature identification method is proposed to determine the process parameters for ultra-precision grinding processes with controlled removal rates. Experimental investigations scrutinized the intricate relationship between the model and the output current signal of the feed guide. Significantly, through the dynamic adjustment of the output current of the guide, the controllable grinding process achieved the successful production of ultra-precision tools, showing a remarkable profile error of <50 nm. These findings provide invaluable insights into ultra-precision machining, particularly in addressing the challenges posed by anisotropic diamond materials.
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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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