Abstract
Micro ball-end milling has emerged as a promising technique for repairing micro-defects on the surfaces of KH2PO4 (KDP) optics used in Inertial Confinement Fusion (ICF) facilities, which are crucial for advancing the clean energy production. However, the widespread recycling of KDP optics through this technique presents significant challenges. A critical issue is that various milling modes—such as pull, push, up, and down milling—can periodically engage in the repair process, leading to different surface topographies that ultimately affect the optical performance of the repaired optics. This study systematically analyzes the surface topographies produced by different milling modes using advanced characterization methods, including power density spectrum (PSD), continuous wavelet transform (CWT), and fractal dimension (FD). Our findings indicate that residual tool marks on micro-milled KDP surfaces are consistently more pronounced perpendicular to the milling feed direction (i.e., along the step direction) than parallel to it across all milling modes. PSD analysis reveals a dominant frequency along the step direction, which is inversely proportional to milling step intervals. The precise orientation of these tool marks for each milling mode can be accurately determined using angular spectrum analysis. Wavelet-based frequency analysis successfully identifies waviness features arising from the dynamic characteristics of the micro-milling system associated with each milling mode, providing insights for optimizing repair processes. Furthermore, the microscopic topographic features of the repaired surfaces were evaluated using FD, demonstrating stronger characterization capabilities than traditional surface roughness metrics. Notably, the circumferential FD of surfaces machined using up-milling modes was smaller than those of the other milling modes, attributed to the occurrence of micro-cracks due to the ploughing effect during up-milling. By examining the theoretical relationship between the amplitude and periodicity of residual tool marks, we recommend milling step intervals of <28 μm for future engineering repairs of KDP optics in ICF facilities.
Original language | English |
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Pages (from-to) | 1-16 |
Number of pages | 16 |
Journal | Journal of Manufacturing Processes |
Volume | 141 |
Early online date | 26 Feb 2025 |
DOIs | |
Publication status | Published - 15 May 2025 |
Funding
This research is supported by the National Natural Science Foundation of China (Nos. 52235010,52175389,52293403), the Natural Science Foundation of Heilongjiang Province (No. YQ2021E021), Supported by State Key Laboratory of Robotics and Systems (HIT, SKLRS-2025-KF-09), Jiangxi Provincial Natural Science Foundation (Grant No. 20232BAB214056) and the open project of Key Laboratory of Conveyance and Equipment of Ministry of Education, East China Jiaotong University (Grant No. KLCE2022-04).
Keywords
- Fractal dimension
- Micro ball-end milling
- Milling modes
- Power spectrum density
- Residual tool marks
- Surface topographies
- Wavelet
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering