Fiber Core Auto-Tracing for Femtosecond Laser Grating Fabrication

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Solution Overview

Problem

Current femtosecond laser fabrication systems for fiber gratings lack accuracy and repeatability in automatically focusing the laser at the center of the fiber core, leading to inconsistencies in grating quality.

Innovation Solution

A fiber core auto-tracing method and system that uses real-time image acquisition and processing to adjust the position of the fiber and the microscope objective, ensuring the laser focus is accurately centered on the fiber core.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual alignment by human eye detection is used to position the fiber core, then the operation is simple and easy to implement, but the alignment accuracy and repeatability are insufficient

Engineering Contradiction:
Improvealignment accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

An image sensor is introduced as an intermediary device between the fiber core and the operator. The image sensor captures images of the fiber core and transmits them to a processor, which then provides alignment guidance. This intermediary system enables automated, high-precision alignment without requiring complex manual operations, resolving the contradiction between simplicity and precision.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The manual mechanical alignment process is replaced with an automated optical-electronic system. Instead of relying on human eyes and manual adjustments, the system uses an image sensor to detect fiber core position, a processor to analyze the images and calculate alignment parameters, and automated control to adjust the fiber or laser focus position. This substitution dramatically improves alignment accuracy and repeatability while maintaining operational simplicity through automation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If manual alignment method is used, then the device complexity is low, but the manufacturing precision of fiber grating is affected

Engineering Contradiction:
Improvegrating fabrication accuracyVSAvoidalignment system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system implements a closed-loop feedback mechanism where the image sensor continuously monitors the fiber core position, the processor analyzes the images to determine alignment status, and the system automatically adjusts the fiber or laser focus based on the analysis results. This feedback loop ensures high manufacturing precision by constantly correcting alignment deviations, while the automation reduces the need for complex manual intervention procedures.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The alignment system performs self-adjustment through automated image processing and position correction. The processor automatically calculates the fiber core center position from captured images and generates control signals to adjust the fiber or laser focus position without requiring continuous manual intervention. This self-service capability improves manufacturing precision while keeping the system relatively simple in operation.

Inventive Principle:
Principle #25Self-service

3Reliability

If automated image-based alignment is implemented, then alignment accuracy and repeatability are improved, but the device complexity increases

Engineering Contradiction:
Improvealignment repeatabilityVSAvoidsystem structure complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The image sensor serves multiple functions: capturing fiber core images for alignment, monitoring fiber position during processing, and providing visual feedback for verification. The processor performs multiple tasks including image analysis, center position calculation, and control signal generation. This multi-functionality reduces the need for separate dedicated components, improving alignment reliability while limiting the increase in overall system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution enables precise and repeatable alignment of the laser focus with the fiber core, significantly improving the accuracy and quality of fiber grating fabrication.

Implementation Method 1

Real-time acquisition of image of the optical fiber on a three-dimensional translation stage

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

laser beam that is usually focused by a microscope objective to the processing position

Methodology Applied
Scientific EffectOptical focusing: Focusing

Implementation Method 3

uses high light intensity in the focal region of a tightly focused laser beam

Methodology Applied
Scientific EffectLaser heating: Laser

Implementation Method 4

fabricate structures with nanometer precision in different materials (including polymers, glass, metals, new two-dimensional materials, etc.)

Methodology Applied
Scientific EffectPhotopolymerization: Photopolymerisation

Data Source

PatentUS12275193B2Fiber core auto-tracing method, system, and storage medium for fabricating fiber grating
Publication Date: 2025.04.15 INNOFOCUS PHOTONICS TECH PTY LTD
  • US12275193B2 patent drawing
  • US12275193B2 patent drawing
  • US12275193B2 patent drawing

AI summary

A fiber core auto-tracing method, system, and storage medium are for fabricating fiber gratings. The method includes acquiring the image of the optical fiber to be processed on the three-dimensional translation stage in real-time, adjusting the relative position of the optical fiber and the microscope objective in the Z-axis direction, until it is recognized that two boundary lines are formed between the fiber core and the cladding in the currently collected image calculating the position of the center point of the two boundary lines on the three-dimensional translation stage and adjusting the position of the fiber to be processed on the three-dimensional translation stage accordingly until the center point coincides with the XY coordinates of the laser focus. The method can quickly and accurately find the center point of the fiber core to be processed through the image recognition technology, to ensure processing accuracy.