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Open AccessDOI: 10.16490/j.cnki.issn.1001-3660.2026.09.002Original Research

Profile Accuracy and Surface Roughness of CaF2 Cylindrical Microlens Arrays Machined by Form Tool Cutting

National University of Defense Technology, College of Intelligence Science and Technology

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Profile Accuracy and Surface Roughness of CaF2 Cylindrical Microlens Arrays Machined by Form Tool Cutting
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Surface Technology (表面技术)
Published:January 15, 2026Edition:Vol. 32, Issue 9 • pp. 100-112Citation:XU Jiachang et al. (2026), Surface Technology (表面技术)
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Key Takeaways & Executive Findings

  • • • CaF2 exhibits a Young's modulus of 110.04 GPa, Poisson's ratio <1/3, and hardness of 5.71 GPa, with elastic anisotropy factors between 0 and 1, confirming soft-brittle behavior that causes brittle fracture during conventional cutting; this necessitates auxiliary strategies to maintain ductile-mode removal for optical surface integrity. • • Fly-cutting achieves a radius error of (0.23±0.04)% and profile error RMS of (208.2±5.76) nm, whereas ultrasonic elliptical vibration cutting (EVC) yields an average profile RMS of 405.56 nm and radius error of 4.56%, with EVC introducing scratches and bottom defects; fly-cutting is thus superior for stable profile accuracy and low roughness in CMLA fabrication. • • Tool geometric errors are directly replicated onto the workpiece, dominating profile error; after correcting the non-circular-arc tool profile, workpiece profile error RMS dropped from 200 nm to 16.8 nm, demonstrating that tool contour accuracy is the primary lever for achieving sub-20 nm form accuracy in microlens arrays. • • Tool wear is concentrated at the tip due to long cutting strokes, while middle sections wear less, driven by repeated edge cutting and localized thermo-mechanical friction; this wear progression shifts profile accuracy from a geometry-dominated to a wear-dominated regime, requiring tool life management for sustained precision.
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Abstract

Fabrication of high-precision cylindrical microlens arrays (CMLA) on single-crystal calcium fluoride (CaF2) substrates is critical for advanced lithographic illumination systems. However, the intrinsic soft-brittle characteristics and weak elastic anisotropy of CaF2 often induce brittle fracture and surface damage during ultra-precision machining, limiting achievable form accuracy and surface quality. This study systematically investigates the coupling relationship between profile accuracy and surface integrity in diamond machining of CaF2 CMLA, emphasizing material properties, auxiliary cutting strategies, tool geometric accuracy, and tool wear evolution. First, fundamental mechanical properties of CaF2 are analyzed from elastic constants. Calculations show a Young's modulus of 110.04 GPa, Poisson's ratio below 1/3, and hardness of 5.71 GPa, confirming typical soft-brittle nature. The elastic anisotropy factor ranges between 0 and 1, indicating relatively weak anisotropy compared with many crystalline optical materials. Two auxiliary ultra-precision machining techniques, ultrasonic elliptical vibration cutting (EVC) and fly-cutting, are comparatively investigated. Experimental results show that EVC locally improves surface finish via intermittent cutting and reduced cutting forces, but periodic reversal of tool motion in the elliptical trajectory inevitably generates scratches and defects at the groove bottom of microlens structures. In contrast, fly-cutting consistently produces superior surface quality across the entire CMLA surface, attributed to significantly reduced tool-workpiece contact time and suppression of instantaneous cutting forces, effectively mitigating brittle fracture. A systematic parameter study reveals that tool geometric errors are directly replicated onto the workpiece surface, dominating profile error. After correcting the non-circular-arc tool profile, workpiece profile error (RMS) decreased from 200 nm to 16.8 nm, validating the decisive role of tool contour accuracy. Wear analysis indicates significant tool tip wear due to long cutting strokes, while middle sections experience lighter wear, primarily from repeated edge cutting and localized thermo-mechanical friction. These findings provide critical process guidance for high-precision, low-damage machining of CaF2 CMLA and other brittle optical crystals.

1. Introduction

High-precision cylindrical microlens arrays (CMLA) on single-crystal calcium fluoride (CaF2) are indispensable for advanced lithographic illumination systems, where form accuracy below 20 nm RMS and surface roughness at the sub-nanometer level are mandatory. Commercial fabrication of CaF2 CMLA has stalled because the material's soft-brittle nature—Young's modulus 110.04 GPa, hardness 5.71 GPa, and Poisson's ratio below 1/3—promotes brittle fracture and subsurface damage during ultra-precision machining. Existing diamond turning processes, including ultrasonic elliptical vibration cutting (EVC), can locally improve finish but introduce periodic scratches and groove-bottom defects due to tool motion reversal, yielding profile RMS values above 400 nm and radius errors exceeding 4.5%. These defects directly translate into wavefront errors and stray light in lithographic tools, limiting yield and driving up cost per optical element.

This study addresses the bottleneck by systematically evaluating fly-cutting with form diamond tools as an alternative to EVC. Fly-cutting reduces tool-workpiece contact time and suppresses instantaneous cutting forces, mitigating brittle fracture across the entire CMLA surface. The experimental protocol isolates the contribution of tool geometric errors, demonstrating that they are directly replicated onto the workpiece. By correcting the non-circular-arc tool profile, the workpiece profile error RMS was reduced from 200 nm to 16.8 nm, a greater than tenfold improvement. The results establish a direct causal link between tool contour accuracy and microstructure form fidelity, providing a deterministic path to high-precision, low-damage machining of CaF2 and other brittle optical crystals.

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Cite This Research Paper
XU Jiachang, GUAN Chaoliang (2026). Profile Accuracy and Surface Roughness of CaF2 Cylindrical Microlens Arrays Machined by Form Tool Cutting. Surface Technology (表面技术). https://doi.org/10.16490/j.cnki.issn.1001-3660.2026.09.002
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Frequently Asked Questions

What is the dominant failure mechanism that limits profile accuracy in CaF2 CMLA machining, and how does tool wear evolve?

The dominant failure mechanism is direct replication of tool geometric errors onto the workpiece, which initially governs profile error. In fly-cutting, the workpiece radius error is (0.23±0.04)% and profile RMS is (208.2±5.76) nm, primarily due to tool contour deviations. As cutting progresses, tool wear becomes significant at the tip due to long cutting strokes, while middle sections wear less from repeated edge cutting and localized thermo-mechanical friction. This shifts the error regime from geometry-dominated to wear-dominated, causing progressive loss of form accuracy. Correcting the tool profile reduced RMS from 200 nm to 16.8 nm, confirming that tool accuracy is the primary lever before wear sets in.

How does fly-cutting compare to ultrasonic elliptical vibration cutting (EVC) in terms of surface integrity and profile accuracy?

Fly-cutting consistently produces superior surface quality across the entire CMLA. It achieves a radius error of (0.23±0.04)% and profile RMS of (208.2±5.76) nm. In contrast, EVC yields an average profile RMS of 405.56 nm and radius error of 4.56%, with inevitable scratches and defects at the groove bottom due to periodic reversal of tool motion in the elliptical trajectory. EVC can locally improve finish via intermittent cutting and reduced forces, but the defects compromise overall surface integrity. Fly-cutting's advantage stems from significantly reduced tool-workpiece contact time and suppression of instantaneous cutting forces, which mitigate brittle fracture.

What are the measured mechanical properties of CaF2 that dictate its machinability, and how do they influence ductile-mode cutting?

CaF2 exhibits a Young's modulus of 110.04 GPa, Poisson's ratio below 1/3, and hardness of 5.71 GPa. Its elastic anisotropy factor ranges between 0 and 1, indicating weak anisotropy. These properties confirm a soft-brittle nature: high stiffness and brittleness make conventional cutting prone to brittle fracture and surface damage. Maintaining stable ductile-mode material removal is challenging because the low Poisson's ratio and moderate hardness offer little plastic deformation capacity. This necessitates auxiliary strategies such as fly-cutting to reduce forces and contact time, thereby suppressing fracture and achieving optical-quality surfaces.

What is the industrial impact of reducing profile error RMS from 200 nm to 16.8 nm in CaF2 CMLA fabrication?

Reducing profile RMS from 200 nm to 16.8 nm represents a greater than tenfold improvement in form accuracy, directly enabling sub-20 nm precision for cylindrical microlens arrays. In lithographic illumination systems, such accuracy minimizes wavefront errors and stray light, which are critical for high-yield semiconductor manufacturing. This improvement validates that tool contour correction is a deterministic lever for precision, allowing manufacturers to meet stringent optical specifications without costly iterative machining. It also reduces scrap rates and post-processing, lowering cost per element and accelerating adoption of CaF2 CMLA in advanced lithography.

What are the scalability bottlenecks for implementing fly-cutting with form diamond tools in production?

The primary bottleneck is tool wear management. Tool tip wear is significant due to long cutting strokes, while middle sections wear less, causing a transition from geometry-dominated to wear-dominated profile errors. This necessitates frequent tool inspection and replacement, increasing downtime and cost. Additionally, achieving the initial 16.8 nm RMS requires precise tool profile correction, which demands metrology and fabrication capabilities that may not be widely available. Scaling to high-volume production requires robust tool life prediction models and automated compensation strategies to maintain accuracy over extended runs.

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