Balancing surface quality and machining efficiency in recycling process achieved by micro ball-end milling of flawed potassium dihydrogen phosphate optics

In the inertial confinement fusion experiments, under high-power laser irradiation , the dimension of micro-flaws on the potassium dihydrogen phosphate (KDP) surface can expand dramatically, leading to the failure of optical components. Conical mitigation pits (CMP) processed by a ball-end cutter are the preferred microstructures to eliminate surface flaws and recycle flawed KDP optics. However, due to the presence of numerous surface flaws, and deliquescent nature of soft-brittle KDP optics, obtaining high-quality and high-efficiency CMP surfaces in dry milling poses an urgent challenge. In this work, based on the finite element model , the optimal cutting edge radius ( R e ) of a ball-end cutter is determined to be 1.8 μm in accordance with the maximum tensile stress , stress distribution morphology, and cutting force. Moreover, using a ball-end cutter with the optimal R e , CMP preparation experiments are conducted to establish the initial population of non-dominated sorting genetic algorithm (NSGA-II). The prediction models of processing time ( t ) and surface roughness ( Sa ) based on the NSGA-II are developed, with average relative errors reach 2.5 % and 10.4 %, respectively. Besides, considering the demand of the recycling process under various working conditions, the quality- and efficiency priority solutions are obtained by fast non-dominated sorting algorithm and elite strategy. Under the premise of ensuring the optimal CMP surface quality, the recommended layer milling allowance, feed speed, spindle speed , and tool mark interval are 0.5 μm, 0.4 mm/s ∼ 0.9 mm/s, 4.3 × 10 4 r/min ∼4.6 × 10 4 r/min and 5 μm for acceptable repair efficiency. Compared with previous reparative processes, the optimal combination of micro-milling parameters obtained by machine learning reduces the average t for a single conical mitigation pit (with a Sa less than 30 nm) from 360 s to 278 s, achieving a reduction of 23 %. This work can provide technical supports and engineering application values for achieving a high-quality recycling process and increasing the laser damage resistance of flawed KDP optics.

Authors

Institutions

Publication Details

Journal
Sustainable materials and technologies
Published
2025-04-04
DOI
https://doi.org/10.1016/j.susmat.2025.e01388
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Balancing surface quality and machining efficiency in recycling process achieved by micro ball-end milling of flawed potassium dihydrogen phosphate optics

Youwang Hu, Hongqin Lei, Qi Liu, Mingjun Chen et al.
Sustainable materials and technologies
Advanced Surface Polishing Techniques
article

Balancing surface quality and machining efficiency in recycling process achieved by micro ball-end milling of flawed potassium dihydrogen phosphate optics

Youwang Hu, Hongqin Lei, Qi Liu, Mingjun Chen, Jian Ping Cheng, Linjie Zhao
article en

Abstract

In the inertial confinement fusion experiments, under high-power laser irradiation , the dimension of micro-flaws on the potassium dihydrogen phosphate (KDP) surface can expand dramatically, leading to the failure of optical components. Conical mitigation pits (CMP) processed by a ball-end cutter are the preferred microstructures to eliminate surface flaws and recycle flawed KDP optics. However, due to the presence of numerous surface flaws, and deliquescent nature of soft-brittle KDP optics, obtaining high-quality and high-efficiency CMP surfaces in dry milling poses an urgent challenge. In this work, based on the finite element model , the optimal cutting edge radius ( R e ) of a ball-end cutter is determined to be 1.8 μm in accordance with the maximum tensile stress , stress distribution morphology, and cutting force. Moreover, using a ball-end cutter with the optimal R e , CMP preparation experiments are conducted to establish the initial population of non-dominated sorting genetic algorithm (NSGA-II). The prediction models of processing time ( t ) and surface roughness ( Sa ) based on the NSGA-II are developed, with average relative errors reach 2.5 % and 10.4 %, respectively. Besides, considering the demand of the recycling process under various working conditions, the quality- and efficiency priority solutions are obtained by fast non-dominated sorting algorithm and elite strategy. Under the premise of ensuring the optimal CMP surface quality, the recommended layer milling allowance, feed speed, spindle speed , and tool mark interval are 0.5 μm, 0.4 mm/s ∼ 0.9 mm/s, 4.3 × 10 4 r/min ∼4.6 × 10 4 r/min and 5 μm for acceptable repair efficiency. Compared with previous reparative processes, the optimal combination of micro-milling parameters obtained by machine learning reduces the average t for a single conical mitigation pit (with a Sa less than 30 nm) from 360 s to 278 s, achieving a reduction of 23 %. This work can provide technical supports and engineering application values for achieving a high-quality recycling process and increasing the laser damage resistance of flawed KDP optics.

Sustainable materials and technologiesVol. 44
Central South University (CN), Harbin Institute of Technology (CN), University of Bath (GB)
Openalex Percentile: Top 94%
Advanced Surface Polishing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.