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1. Optimization of Manufacturing Processes
Gravity Unloading-Based Rotation Testing Process: In terrestrial manufacturing environments, gravity affects the surface figure of large-aperture space aspheric mirrors. To achieve zero-gravity surface figure manufacturing, a high-precision rotation testing method based on gravity unloading can be established. For example, using the N-step equal-interval rotation method:
First, clarify its fundamental principles. In a specific manufacturing case (e.g., a Ф1290mm ULE Aspheric Mirror), strictly control rotation angle and eccentricity errors (actual angle error < 0.1°, eccentricity error < 0.1mm).
During the low-precision phase, use the 3-step rotation method to process test results, rapidly converging mirror surface figure accuracy to 0.029λ RMS.
Address the cumulative amplification of symmetric errors caused by the rotation method through targeted removal, further converging surface figure accuracy to 0.023λ RMS.
Finally, use the 6-step rotation method to process test results and guide optical manufacturing, achieving high surface figure accuracy. After removing gravity-induced deformation error, the surface figure accuracy reaches 0.010λ RMS, approximating the mirror's zero-gravity surface figure in orbit.
This method applies to meter-class and larger space aspheric mirrors.
Optimized Grinding & Polishing Techniques: Grinding and polishing are critical for mirror surface figure accuracy. Over the past half-century, techniques for large-aperture aspheric mirrors have evolved:
Traditional grinding is being replaced by CNC grinding, enabling precise material removal via controlled toolpath and pressure (e.g., Computer-Controlled Optical Surfacing - CCOS).
Deterministic polishing techniques like Ion Beam Figuring (IBF) and Magnetorheological Finishing (MRF) are widely adopted:
IBF uses high-energy ion beams for nanoscale material removal.
MRF uses magnetorheological fluid to improve surface roughness and correct figure errors.
Combining these advanced techniques significantly enhances surface figure accuracy.
2. Improvements in Surface Metrology
High-Precision Detection Algorithms: For large-aperture optical component testing:
A "double segmentation" method effectively locates laser spots with large intensity variations.
Gray centroid method provides stable spot centroid extraction.
Feature-based classification identifies front-surface reflection spots.
These algorithms improve metrology accuracy, providing reliable data for surface correction.
Advanced Metrology Methods:
Scanning Pentaprism Method: Measures large flat mirrors by scanning a pentaprism and autocollimator to detect tilt angle differences. Surface figure is represented as a linear combination of Zernike polynomials, solved via least-squares fitting. Achieves 7.6nm RMS accuracy. Verified against Ritchey-Common method (difference: 7.1nm RMS for 1.5m mirror).
Ritchey-Common Method:
Requires spherical reference mirrors. Analyzes eccentricity and tilt errors via optical modeling.
Simulations for 2m mirrors show: with eccentricity <5% aperture and tilt <1° within 11°-30° Ritchey angle range, surface recovery error is ~10⁻³λ RMS.
Practical application achieved 0.0238λ RMS and 0.1629λ PV for a Φ2m mirror (λ=632.8nm).
3. Support Structure Design Optimization
High-Tolerance Support Structures: Address stress-induced degradation:
Example: 1.5m high-precision space mirror (RB-SiC material) with triangular back-open lightweight design and three-point flexure mounts.
Optimized using Isight software to minimize RMS change under 9 assembly error scenarios (0.01mm error).
Results:
Lightweight ratio: 82.1% (mass: 170.23kg)
1g gravity: <0.016λ RMS
0.02mm forced displacement: 0.016λ RMS
20℃±5℃: ΔRMS <0.002λ
First natural frequency: 101.3Hz
Adhesive Impact Mitigation:
Modeled adhesive curing shrinkage using thermal-load FEM. Analyzed effects of adhesive volume, location, distribution, and parameters.
Optimized design for rectangular mirror:
Six side-mounted flexible adhesive rings
Non-uniform near-uniform distribution
Adhesive: Ø10mm × 0.1mm thickness
Result: PV=53.26nm, RMS=10.98nm, max stress=0.04MPa
Topology-optimized frame reduced weight by 62.12% (7.93kg).
4. Reducing Environmental Micro-Vibration Effects
As space remote sensors increase in aperture and lightweight design, mirror stiffness decreases, making surface figures susceptible to micro-vibrations (e.g., from stepper motors, reaction wheels, cryocoolers).
Dynamic Response Analysis Method:
Combines modal superposition and Zernike polynomial fitting.
Expresses each mode shape as a linear combination of Zernike polynomials.
Computes overall dynamic surface error via modal superposition.
Analyzes optical aberrations from micro-vibrations via Zernike coefficients.
Enables targeted mitigation of vibration-induced surface errors to improve imaging resolution.
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