
- •Brian Carl Morgan, Doctor of Philosophy, 2006
- •1. Introduction
- •Introduction
- •Passive Techniques
- •Active Techniques
- •Thesis Objectives and Structure
- •Chapter 2: gray-scale technology
- •Introduction
- •Gray-scale Background
- •Theoretical Background
- •Optical Mask Constraints
- •Standard Lithography Process
- •Design and Lithography Advancements
- •Minimum Feature Limitations
- •2.3.3. Double Exposures
- •Pattern Transfer
- •Deep Reactive Ion Etching (drie)
- •Selectivity Characterizations
- •Technology Collaborations
- •Phase Fresnel Lens (nasa)
- •2.5.2.1. Compensated Aspect Ratio Dependent Etching (carde)
- •Conclusion
- •Chapter 3: elect rostatic comb-drives using goay-scale technology
- •Introduction
- •Electrostatic Actuation Fundamentals
- •Tailored Comb-finger Design and Simulation
- •Analytical Displacement Simulations (2-d)
- •Finite Element Analysis (3-d)
- •Instability Considerations
- •Reduced Height Suspensions
- •Fabrication
- •Comb-drive Testing
- •Reduced Height Comb-fingers
- •Conclusion
- •Introduction
- •Tunable mems Resonator Operation
- •1. Introduction 1
- •1.1. Introduction 1
- •2.1. Introduction 11
- •3.1. Introduction 36
- •4.1. Introduction 51
- •Gray-scale Electrostatic Springs
- •Testing and Characterization
- •Conclusion
- •Introduction
- •Device Concept
- •Figure 5.5: Calculated coupling as two co-axial single-mode fibers are separated longitudinally.
- •Figure 5.6: Alignment schematic for a bent fiber cantilever coupling to a fixed output fiber.
- •Alignment Wedges
- •Fabrication
- •Assembly
- •Actuation Concept Demonstration
- •Introduction
- •Experimental Setup
- •Static Testing
- •Table 6.3: Measured fiber locations for discrete actuation voltages. These 4 points form the corners of a diamond shaped alignment area.
- •Channel a (va2)
- •1. Introduction 1
- •1.1. Introduction 1
- •2.1. Introduction 11
- •3.1. Introduction 36
- •4.1. Introduction 51
- •Horizontal displacement
- •Voltage Squared (v2)
- •Auto-alignment Algorithms
- •Figure 6.16: Simplified hill-climbing algorithm block diagram.
- •Automated Fiber Alignment Results
- •Settling Time, Coarse Threshold Power (%Peak)
- •Testing Summary and Discussion
- •Conclusion
- •Summary of Accomplishments
- •Future Work
Testing Summary and Discussion
While the exact time required to align to particular device depends on its location, our tests show that an accuracy of <1.6p,m could be routinely achieved on the order of 10 seconds to InP waveguides initially misaligned by ~20p,m. Direct comparison of such alignment times to previous research is difficult because externally actuated systems typically optimize degrees of freedom beyond the 2-axis optimization performed by our gray-scale fiber aligner. Although previous simulations showed that our gray-scale fiber aligner is optimizing alignment along the two most important axes. Nonetheless, the alignment speed of the gray-scale fiber aligner (at ~10 seconds for 2-axes) compares favorably to active alignment times reported using external actuators (~30 seconds for 3- axes) [174]. Many algorithm parameters could also be adjusted to tailor the alignment speed and/or resolution for particular applications.
The alignment resolution achieved with the gray-scale fiber aligner (<1.25p,m) is competitive with the best reported passive alignment techniques [84], with the advantage that extreme control over all fabrication and assembly tolerances is not required. Pulse testing results imply that continuous small displacements by the gray-scale fiber aligner are limited by friction between the wedges and fiber. Thus, improving the sloped wedge surface morphology should lead to more continuous movement and finer alignment accuracy. Re-design of the gray-scale slope using more gray levels could minimize wedge roughness in photoresist at the expense of increasing optical mask cost. Alternatively, techniques such as short isotropic silicon etching or hydrogen annealing [129] are candidates for post-process smoothing of the surface, but would require careful process control to avoid effecting other geometries on the device. However, as shown with the pulse actuation method, fibers can already be positioned with accuracy below the minimum continuous movement threshold.
Use of a 9p,m core cleaved fiber makes evaluating the desired sub-micron resolution nearly impossible with the current optical setup. As stated previously, the FHWM is currently ~10p,m, so <1p,m misalignment corresponds to <0.1dB of loss, which is too near the noise threshold of our system (<1% ~ 0.04dB) to be reliable. It would be preferable to work with a setup similar to Kang et al [155] where they reported a 3dB loss for only 1-1.2p,m misalignment of a lensed fiber to an InP chip. However, manually assembly of lensed fibers in the gray-scale fiber aligner would be exceedingly difficult and expensive given the equipment available. (Assembly yield would be extremely low since lensed fiber tips are delicate and manual insertion/epoxying of the fiber often does not result in good contact between the fiber and both alignment wedges.)
Conclusion
The static and auto-alignment testing presented in this chapter was able to clearly demonstrate three key abilities of the gray-scale fiber aligner. First, controlled actuation of the optical fiber in both the horizontal and vertical directions was achieved over a range >35p,m in each axis with switching speeds of ~1ms. Second, auto-alignment results illustrated that standard search algorithms could be implemented using the grayscale fiber aligner with predictable and intuitive behavior; optimizing alignment to fiber and waveguide targets on the order of 10 seconds. Thirdly, alignment using the pulse actuation method was able to confirm that an alignment resolution <1.25 p,m was achievable over a 20 by 20p,m area. Gray-scale fiber aligners have also proven robust, in some instances actuating >105 times in numerous testing configurations without any observed change in performance.
The developed gray-scale fiber aligner system is a significant step towards inpackage alignment of optoelectronic components. The most realistic packaging configuration would likely include flip-chip bonding of III-V or SOI photonic circuits onto a silicon substrate containing one or more fiber alignment devices (and possibly relevant control electronics). The gray-scale fiber aligners would then provide individually optimized alignment to minimize optical losses. While only basic device configurations and control algorithms were presented here, there remain numerous avenues for optimizing active alignment time and accuracy for particular applications. In addition, testing has shown that nearly arbitrary control methods and search algorithms could be adapted to work with this device.
CHAOTER 7: CONCLUSION