Singh Ravi Pratap, Chen Yaolong
Department of Mechanical Engineering, Xi'an Jiaotong University; 28 Xianning West Road, Xi'an 710049, China.
Micromachines (Basel). 2024 Oct 21;15(10):1276. doi: 10.3390/mi15101276.
Aspherical surfaces, with their varying curvature, minimize aberrations and enhance clarity, making them essential in optics, aerospace, medical devices, and telecommunications. However, manufacturing these surfaces is challenging because of systematic errors in CNC equipment, tool wear, measurement inaccuracies, and environmental disturbances. These issues necessitate precise error compensation to achieve the desired surface shape. Traditional methods for spherical optics are inadequate for aspherical components, making accurate surface shape error detection and compensation crucial. This study integrates advanced metrology with optimized material removal functions in the grinding and polishing processes. By combining numerical control technology, computer technology, and data analysis, we developed CAM software (version 1) tailored for aspherical surfaces. This software uses a compensation correction algorithm to process error data and generate NC programs for machining. Our approach automates and digitizes the grinding and polishing process, improving efficiency and surface accuracy. This advancement enables high-precision mass production of rotationally symmetrical aspherical optical components, addressing existing manufacturing challenges and enhancing optical system performance.
非球面具有变化的曲率,可将像差降至最低并提高清晰度,这使其在光学、航空航天、医疗设备和电信领域至关重要。然而,由于数控设备中的系统误差、刀具磨损、测量不准确以及环境干扰,制造这些表面具有挑战性。这些问题需要精确的误差补偿才能实现所需的表面形状。传统的球面光学方法不适用于非球面部件,因此精确的表面形状误差检测和补偿至关重要。本研究将先进的计量学与磨削和抛光过程中的优化材料去除功能相结合。通过结合数控技术、计算机技术和数据分析,我们开发了专为非球面定制的CAM软件(版本1)。该软件使用补偿校正算法处理误差数据并生成用于加工的数控程序。我们的方法使磨削和抛光过程自动化和数字化,提高了效率和表面精度。这一进展使旋转对称非球面光学元件的高精度批量生产成为可能,解决了现有的制造挑战并提高了光学系统性能。