1. Optimization of Manufacturing Processes
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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:
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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).
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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.
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Address the cumulative amplification of symmetric errors caused by the rotation method through targeted removal, further converging surface figure accuracy to 0.023λ RMS.
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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.
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This method applies to meter-class and larger space aspheric mirrors.
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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:
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Traditional grinding is being replaced by CNC grinding, enabling precise material removal via controlled toolpath and pressure (e.g., Computer-Controlled Optical Surfacing - CCOS).
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Deterministic polishing techniques like Ion Beam Figuring (IBF) and Magnetorheological Finishing (MRF) are widely adopted:
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IBF uses high-energy ion beams for nanoscale material removal.
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MRF uses magnetorheological fluid to improve surface roughness and correct figure errors.
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Combining these advanced techniques significantly enhances surface figure accuracy.
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2. Improvements in Surface Metrology
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High-Precision Detection Algorithms: For large-aperture optical component testing:
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A "double segmentation" method effectively locates laser spots with large intensity variations.
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Gray centroid method provides stable spot centroid extraction.
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Feature-based classification identifies front-surface reflection spots.
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These algorithms improve metrology accuracy, providing reliable data for surface correction.
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Advanced Metrology Methods:
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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).
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Ritchey-Common Method:
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Requires spherical reference mirrors. Analyzes eccentricity and tilt errors via optical modeling.
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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.
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Practical application achieved 0.0238λ RMS and 0.1629λ PV for a Φ2m mirror (λ=632.8nm).
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3. Support Structure Design Optimization
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High-Tolerance Support Structures: Address stress-induced degradation:
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Example: 1.5m high-precision space mirror (RB-SiC material) with triangular back-open lightweight design and three-point flexure mounts.
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Optimized using Isight software to minimize RMS change under 9 assembly error scenarios (0.01mm error).
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Results:
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Lightweight ratio: 82.1% (mass: 170.23kg)
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1g gravity: <0.016λ RMS
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0.02mm forced displacement: 0.016λ RMS
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20℃±5℃: ΔRMS <0.002λ
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First natural frequency: 101.3Hz
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Adhesive Impact Mitigation:
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Modeled adhesive curing shrinkage using thermal-load FEM. Analyzed effects of adhesive volume, location, distribution, and parameters.
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Optimized design for rectangular mirror:
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Six side-mounted flexible adhesive rings
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Non-uniform near-uniform distribution
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Adhesive: Ø10mm × 0.1mm thickness
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Result: PV=53.26nm, RMS=10.98nm, max stress=0.04MPa
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Topology-optimized frame reduced weight by 62.12% (7.93kg).
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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).
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Dynamic Response Analysis Method:
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Combines modal superposition and Zernike polynomial fitting.
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Expresses each mode shape as a linear combination of Zernike polynomials.
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Computes overall dynamic surface error via modal superposition.
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Analyzes optical aberrations from micro-vibrations via Zernike coefficients.
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Enables targeted mitigation of vibration-induced surface errors to improve imaging resolution.
