Automated Ceramic Filter Tuning via Femtosecond Laser Ablation
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Solution Overview
Problem
Existing methods for designing and producing ceramic filters are labor-intensive, prone to performance variations, and require significant expertise, making them costly and inefficient, especially in applications where size and weight are critical, such as in miniaturized base stations.
Innovation Solution
A method and system utilizing a femto-second laser to iteratively modify ceramic filters by removing material based on coupling matrix comparisons between actual and simulated data, allowing for automated tuning and design convergence to precise specifications, enabling less-trained technicians or robotic systems to achieve accurate filter performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual tuning methods are used for ceramic filters, then performance can be adjusted, but the process is labor-intensive and expensive requiring significant expertise
Solution Approach 1:
The patent replaces manual mechanical tuning with an automated computer-controlled system that uses a laser to selectively remove ceramic material. The computer executes instructions to control the laser based on coupling matrix comparisons, substituting the mechanical manual process with an automated optical system that achieves both precision and high productivity
Solution Approach 2:
The system enables the filter to self-tune by automatically comparing its measured coupling matrix with the simulated coupling matrix and iteratively removing material until convergence is achieved. The computer-controlled laser system performs the tuning autonomously without requiring human expertise, allowing the filter to self-correct its performance
2Measurement precision
If conventional design methods are used, then filter performance can be simulated, but the design process is laborious and requires significant knowledge of the art
Solution Approach 1:
The patent implements a feedback loop where the measured coupling matrix of the actual filter is continuously compared with the simulated coupling matrix. The computer uses this feedback to determine whether to continue removing material or stop the process, automatically converging to the target performance without requiring designer expertise
Solution Approach 2:
The system performs preliminary simulation to generate the target coupling matrix before actual filter fabrication. This pre-computed reference is then used to guide the automated tuning process, eliminating the need for designers to manually iterate through design modifications
3Area of moving object
If printed planar filters are used to reduce size, then footprint is minimized, but performance variation between devices increases
Solution Approach 1:
The patent maintains the compact printed planar filter design but introduces a post-fabrication parameter adjustment step. By controlling the laser removal process to precisely modify the ceramic pattern based on actual measurements, the system compensates for manufacturing variations and achieves consistent performance across devices while maintaining small footprint
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 approach results in faster, more cost-effective, and precise design, tuning, and production of ceramic filters, reducing labor costs and performance variations, and enabling smaller, more efficient filter designs for compact applications.
Implementation Method 1
removing, at a first tune location of the ceramic filter, a first amount of the ceramic material using a laser. The laser may be, for example a femto-second (cold) laser, to shrink the oversized pattern
Data Source
AI summary
The present applications at least describes a method of making a tuned ceramic filter. The method includes printing an oversized pattern of ceramic material on a ceramic filter. The method also include removing, at a first tune location of the ceramic filter, a first amount of the ceramic material using a laser to shrink the oversized pattern. The method also includes comparing a coupling matrix of the ceramic filter after the removing step with a coupling matrix of a prototype of the ceramic filter. The method includes a step of generating a tune vector based upon a difference between the coupling matrix of the ceramic filter and the coupling matrix of the prototype filter. Further, the method includes a step of iteratively modifying the removing of the ceramic material using femto-second laser at the first tune location to have a coefficient of the tune vector corresponding to the first tune location to converge toward zero.